diff --git a/.gitkeep b/.gitkeep new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/ChartArena.jsonl b/ChartArena.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..61c9c882a3e65941723197c221798b7d54050e2f --- /dev/null +++ b/ChartArena.jsonl @@ -0,0 +1,2395 @@ +{"img_path": "images/6f229bc0f6aab95c6b6e1180fbda4936.png", "anno": "- 建安文学\n - 三曹\n - 曹操\n - 字孟德\n - 《观沧海》《龟虽寿》《短歌行》《蒿里行》《薤露行》\n - 曹丕\n - 字子恒，220年代汉自立，史称魏文帝\n - 文学观点：“文章乃经国之大业，不朽之盛事”\n - 诗歌：《燕歌行》现存最早、最完整最成熟的七言诗\n - 文学批评：《典论·论文》。对当时文人的批评或对文学观点的表述，简明中肯。中国文学史上第一篇系统的文学批评专论作品。\n - 曹植\n - 字子建，曾封陈王，死后谥号“思”，世称陈思王\n - 第一位大力写作五言诗的文人\n - 评价\n - 钟嵘《诗品》称之为“建安之杰”\n - 谢灵运：“天下才有一石，曹子健独占八斗，我得一斗，天下共分一斗。”\n - 诗歌代表作\n - 前期：歌唱理想和抱负，洋溢着乐观、浪漫的情调。如《白马篇》\n - 后期\n - 对自己和朋友遭遇迫害的愤懑。如《赠白马王彪》等\n - 用思妇、弃妇托寓身世，表白心迹。如《美女篇》《七哀》等\n - 述志诗。如《杂诗》\n - 抒情小赋：《洛神赋》\n - 建安七子\n - 团队成员\n - 孔融、陈琳、王粲、徐干、阮瑀、应场、刘桢\n - 创造内容\n - 反映动乱现实，，表现建功立业\n - 整体风格\n - 慷慨激昂\n - \"七子\"名称出处：始见于曹丕所著《典论·论文》\n - 王粲\n - 字仲宣，\"七子之冠冕\"，建安七子中成就最高者《文心雕龙·才略》\n - 代表作\n - 诗歌：《七哀诗》\n - 抒情小赋：《登楼赋》\n - 刘桢\n - 《赠从弟》\n - 陈琳\n - 《饮马长城窟行》\n - 蔡琰\n - 字文姬，蔡邕之女\n - 《悲愤诗》中国文学史上文人创作的第一首自传体长篇大论五言叙事诗\n - 建安风骨\n - 刘勰 论汉末建安之诗文风格为\"观其时文，雅好慷慨，良由世积乱离，风衰俗怨，志深而笔长，梗概而多气。\"《文心雕龙》", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/9dbb22aa66e47d230ad730c00c1eb8af.png", "anno": "思维导图1(0,0),(0,0)\n\n- 中东\n - “三洲五海之地”\n - 联系亚洲、欧洲、非洲三大洲\n - 沟通大西洋和印度洋\n - 位于阿拉伯海、红海、地中海、黑海和里海五海之间，地理位置非常重要。\n - 匮乏的水资源\n - 原因：中东气候干燥，河流稀少\n - 措施：海水淡化、发展节水农业、实行跨流域调水等\n - 世界石油宝库\n - 中东是目前世界上石油储量最大、生产石油最多的地区\n - 主要分布在波斯湾及其沿岸地区\n - 主要产油国：沙特阿拉伯、伊朗、伊拉克、科威特和阿拉伯联合酋长国等\n - 石油输出主要有海运和管道运输两种方式，输往东亚、欧洲西部和北美洲\n - 未来发展：实施经济发展多样化战略\n - 多元文化\n - 中东是基督教、伊斯兰教以及犹太教的发源地\n - 大多数是阿拉伯人，属于白种人，通用阿拉伯语，信仰伊斯兰教，这样的国家称为“阿拉伯国家”。\n\n\n思维导图2(0,0),(0,0)\n\n- 南亚\n - 南亚面积最大，经济发展水平最高的国家\n - 海陆位置：西临阿拉伯海，东临孟加拉湾，南到印度洋\n - 三大地形区：北部是德干高原，中部是恒河平原、印度河平原，南部是喜马拉雅山脉\n - 恒河：最终注入孟加拉湾，被印度人尊称为“圣河”和“印度母亲河”。\n - 南亚主要地处热带和亚热带，气候以热带季风气候为主\n - 西南季风不稳定，水旱灾害频繁。\n - 主要粮食作物：小麦和水稻\n - 印度人口众多\n - 人口问题：资源短缺、环境破坏、就业困难、住房紧张、教育医疗条件差 等\n - 人口优势：劳动力资源丰富且价格低廉；消费群体庞大，消费市场广阔\n - 印度的服务外包产业\n - 特点：信息技术含量高、利润大、资源消耗少\n - 发展条件：人力资源丰富、劳动力成本较低、英语普及、信息技术发展较早。\n - 印度被形象地称为“世界办公室”\n - 班加罗尔是印度软件外包产业的发源地。", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/6c95d9fbbcd500c764618adb9b20383a.png", "anno": "- 第三章：管理的基本原理\n - 管理的五项基本原则\n - 系统原理\n - 系统概念\n - 系统是指由若干个相互联系相互作用的部分组成，在一定环境中具有特定功能的有机整体\n - 系统特征\n - 集合性\n - 层次性\n - 相关性\n - 系统原理的要点\n - 动态性原理\n - 开放性原理\n - 环境适应性原理\n - 人本原理\n - 职工是企业的主体\n - 职工参与是有效管理的关键\n - 使人性得到最完美的发展是现代管理的核心\n - 服务于人是管理的根本目的\n - 责任原理\n - 明确每个人的职责\n - 合理设计职位和授权权限\n - 及时公正分明的奖罚\n - 效益原理\n - 适度原理\n - 管理原理的主要特征\n - 客观性\n - 普适性\n - 稳定性\n - 系统性\n - 研究管理原理的意义\n - 提高管理工作的科学性\n - 掌握管理的基本规律\n - 迅速找到解决问题的途径", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/755d00ed568e92cf5755db1d3f47b1a5.png", "anno": "- 儿童呼吸系统疾病①\n - 支气管哮喘\n - 临床表现\n - 阵发性咳嗽及喘息（夜间/清晨为重）、呼气相延长伴有喘鸣音，端坐呼吸\n - 严重程度\n - 间歇性发作：每周小于1次\n - 重症发作：呼吸困难、三凹征、哮鸣音\n - 中度发作：较重征状\n - 轻度发作：氧分压正常\n - 诊断\n - 支气管哮喘\n - 反复发作的喘息气促，多与变应原有关\n - 上述症状和体征经抗哮喘治疗可自行缓解\n - 支气管激发和舒张试验阳性；PEF日变异率≥13%\n - 咳嗽变异性哮喘 \n - 咳嗽持续>1月，以干咳为主\n - 无感染征象，抗生素治疗无效，抗哮喘药物治疗无效\n - 变气管激发和舒张试验阳性：PEF日变异率≥13%\n - 治疗 \n - 原则：长期，持续，规范化，个体化\n - 常用药物\n - 糖皮质激素\n - $ \\beta _{2} $受体激动剂（沙丁胺醇、特布他林）\n - 茶碱\n - 抗胆碱药物\n - 白三烯受体拮抗剂\n - 急性重度发作\n - 鼻导管和面罩给氧（正常氧分压)\n - 补液\n - 糖皮质激素\n - 变气管扩张剂\n - 镇静剂\n - 机械呼吸\n - 慢性持续期治疗：首选吸入型糖皮质激素\n - 危重期处理：尽早使用糖皮质激素，出现呼衰时机械通气", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/4113e378b0bbbc0208a08aa9486ff767.png", "anno": "- 古哥线上计划管理培训班\n - 培训周期\n - 每周10小时\n - 每月10小时\n - 三月120小时\n - 培训内容\n - 专业模块\n - 1. 主数据\n - BOM\n - 副主题\n - 工艺路线\n - 秘密工程\n - 2. 主计划\n - 日计划 T\n - 周计划 T+3\n - 3. 物料控制\n - 高主管级\n - 空客管理\n - 库存管理\n - 4. 进度管理\n - 工作流程与管理\n - 预算管理\n - 财务管理\n - 信息化模块\n - ERP技巧\n - MRP\n - LRP\n - MES技巧\n - 培训资料\n - 培训点\n - APS技巧\n - 培训算法\n - 通用模块\n - 软件技巧\n - Excel/PPT Word\n - 2019以上版本,建议2021\n - Visio流程软件\n - Mind流程软件\n - OneNote软件\n - Fxform软件\n - 测量器软件\n - Edge\n - 通用技巧\n - 协调、激励\n - 电脑技巧\n - 文件管理\n - APP技巧\n - 微信\n - to_dto\n - 培训时间\n - 工作日晚上或者早上2小时\n - 培训方式\n - 联合会议\n - 培训开班\n - 2022-06-01", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/962e705244332a59dd87c3cb96977d91.png", "anno": "- 思维导图\n - 创始人\n - 东尼·博赞\n - 定义\n - 一种工具\n - 发散性思维\n - 图形图像化\n - 革命性的\n - 功能\n - 层级表达\n - 记忆链接\n - 激发大脑潜能\n - 比喻\n - 大脑的自然思维\n - 思考主题\n - 关节点\n - 连结\n - 放射性\n - 别名\n - 脑图\n - 心智地图\n - 概念地图\n - 树状图", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/dd12d9e9a57e5372fb29c109f4c32041.png", "anno": "- 尼日利亚\n - 位置和范围\n - 纬度位置：主要位于低纬度地区和热带。\n - 海陆位置：非洲几内亚湾沿岸。\n - 自然环境\n - 地形：以高原为主。\n - 地势：北高南低。\n - 尼日尔河是尼日利亚最大的河流，自北向南流入几内亚湾。\n - 气候：从南部海岸到东北边境，地跨热带雨林气候和热带草原气候两个气候带。\n - 经济\n - 农业：生产油棕、可可和香蕉等热带经济作物\n - 工业：石油和天然气的储量丰富，主要分布在尼日尔河三角洲和沿海大陆架。\n - 人口和城市\n - 人口主要分布在几内亚湾沿岸，原因：地形平坦，气候温热等。\n - 黑种人为主，通用语言英语，主要信仰伊斯兰教和基督教。\n - 首都：阿布贾。\n - 拉各斯：最大的工商业中心，被称为尼日利亚的经济首都。\n- 美国\n - 位置和范围\n - 纬度位置：跨北寒带、北温带、热带三个温度带\n - 海陆位置：美国本土西临太平洋，东临大西洋，南临墨西哥湾\n - 领土组成：美国本土、阿拉斯加州、夏威夷州\n - 人口和城市\n - 是世界第三人口大国，是发达国家中人口增长较快的国家，移民是美国人口增长较快的主要原因。\n - 现居：白种人（殖民者），黑种人（奴隶贩卖），黄种人（如华人劳工）\n - 在旧金山、纽约和洛杉矶等城市还有华人聚居的、富有中华文化特色的“唐人街”。\n - 自然环境\n - 地势特点：中部低，东西高\n - 地形特征：地形南北纵列分布，分为东、中、西三部分。\n - 主要河流：密西西比河，是世界第四长河，向南流入墨西哥湾（大西洋）\n - 主要湖泊：五大湖是世界最大的淡水湖群，其中苏必利尔湖是世界上面积最大淡水湖。\n - 降水量分布大体从东南沿海向西北内陆递减。\n - 农业\n - 地形条件：平原广阔\n - 水源条件：密西西比河和五大湖为灌溉、航运等提供了良好的条件\n - 气候条件：本土地大部分位于北温带，光热条件优越\n - 农业带分布：乳畜带，玉米带，畜牧业和灌溉农业带等\n - 美国农业特点：地区生产专业化，高度机械化，商品率高\n - 工业\n - 东北部工业区：历史悠久，是美国也是世界上最大的工业区。\n - 位于旧金山东南的“硅谷”是美国兴起最早、规模最大的高新技术产业中心", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/5569c8954e88a96d7f4176314c8a35a3.png", "anno": "- 地球的运动\n - 地球自转\n - 旋转中心：地轴\n - 自转方向：自西向东（南顺北逆）\n - 自转周期：一天（约24小时）\n - 地理意义：昼夜交替，时间差异\n - 地球公转\n - 旋转中心：太阳\n - 公转方向：自西向东\n - 公转周期：一年\n - 地理意义：四季变化，五带划分，太阳直射点位置移动，昼夜长短变化\n- 地形图的判读\n - 等高线地形图\n - 坡度陡的地方，等高线密集，坡度缓的地方，等高线稀疏。\n - 判读山体部位\n - 山峰：等高线闭合，数值从中间向四周逐渐降低。\n - 山脊：等高线的弯曲部分向低处凸出。分水线\n - 山谷：等高线的弯曲部分向高处凸出。常形成河流，集水线\n - 陡崖：等高线重叠。\t \n - 鞍部：两个山峰之间，海拔较低的平地。\n - 分层设色地形图\n - 陆地表面五种基本地形类型：高原，山地，丘陵，平原，盆地\n - 高原：海拔在500米以上，面积较大，外围陡峭，内部起伏较和缓\n - 山地：海拔在500米以上，具有耸立的山峰，陡峭的山坡\n - 丘陵：海拔在500米以下，地势起伏较大\n - 平原：海拔在200米以下，宽广平坦。图中用 绿色表示平原。\n - 盆地：四周高，中间低\n - 地形剖面图\n - 概念：地形剖面图指沿地表某一直线方向上的垂直剖面图，以显示剖面线上断面地势起伏状况。\n - 作用：可以直观地表示地面上沿某一方向地形的起伏状况。", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1aa96ddab08bd2af0156554a99abb98c.png", "anno": "- 【楠悦读】《叛逆不是孩子的错》\n - 什么是叛逆\n - 1 叛逆的动机\n - 指逆不是一个阶段，儿童、青春期甚至成人时期都有可能存在叛逆\n - 叛逆孩子的父母不用感到孤独，因为世界上有许多父母正受此折磨\n - 关照对自己有助于你帮助孩子\n - 2 理解叛逆的孩子\n - 指逆的孩子会感觉自己被误解了，要理解孩子倾听是关键\n - 真正的倾听\n - 保持目光接触\n - 消除分心\n - 倾听时切记开口\n - 让孩子知道你在听着\n - 不要一味批评孩子\n - 要有耐心，理解孩子的情绪，孩子需要你的爱和认同\n - 教育误区\n - 1 避免大喊大叫\n - 不会让孩子的行为有所改观\n - 妨碍探究和处理正在发生的事\n - 让孩子产生恐惧心理\n - 2 避免权力争夺\n - 权力之争快击中你的要害\n - 如何避免\n - 改变你的心态\n - 学会冷静和坚决\n - 学会给孩子选择权\n - 如何加强孩子的积极改变\n - 1 表扬孩子\n - 表扬时的态度要真诚\n - 同一个事情不要重复提及太多次\n - 表扬时要说出事实\n - 表扬要多样化和见机进行\n - 2 依靠纪律约束\n - 最可靠的纪律是关爱和理解\n - 处理问题时要坚持用冷静、坚决和非控制的态度\n - 父母的言行要一致\n - 在孩子的不当行为出现后马上作出处罚\n - 3 调动家人的支持\n - 充分发挥兄弟姐妹之间的影响的力量\n - 不要拿叛逆的孩子和别的孩子进行比较\n - 强调公平并不等于平等\n - 允许孩子有自己的时间和空间", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/69ea366b3fea250817aa558193c808fe.png", "anno": "- 德国\n - 位置和范围\n - 纬度位置：主要位于中纬度地区，北温带。\n - 海陆位置：北临北海和波罗的海，与法国、瑞士等国家接壤，是除俄罗斯外欧洲陆上邻国最多的国家。\n - 位于欧洲中部，介于西欧与东欧、北欧与南欧之间，地处欧洲交通“十字路口”。\n - 自然环境\n - 地形：北部地形以平原为主，中部以山地为主，南部以高原为主，且有阿尔卑斯山脉。\n - 地势：南高北低\n - 莱茵河是德国最长的河流，是西欧第一长河，世界非常著名的国际河流。\n - 气候：北部是温带海洋性气候为主，南部是温带大陆性气候为主。\n - 农业\n - 主要农业部门：种植业和畜牧业。\n - 主要农产品：小麦、甜菜、马铃薯等。\n - 工业\n - 工业部门齐全，以重工业为主，汽车和机械制造、化工、电气等部门是支柱产业。\n - 工业分布特点：大分散，小集中众多中、小工业城市遍布全国。\n - 鲁尔区：位于德国西部的莱茵河下游，拥有便利的水陆运输，水源充足，人口城市密集，煤炭资源丰富，且接近国内外消费市场。\n - 人口和城市\n - 白种人为主，通用语言为德语，信仰基督教。\n - 首都：柏林，位于德国东部，是德国政治、经济、文化和交通中心。电气、电子、精密仪器等工业发达，是全国最大城市。\n - 汉堡：德国第二大城市、最大海港和对外贸易的门户。\n\n- 巴西\n - 位置和范围\n - 纬度位置：大部分领土在南回归线与赤道之间，热带面积广大，“热带大国”\n - 海陆位置：拉丁美洲（墨西哥及其以南的地区）中面积最大国家，东临大西洋\n - 自然环境\n - 地形特征：地形以平原为主\n - 地势特点：地势南高北低\n - 主要地形区：亚马孙平原是世界面积最大平原，巴西高原是世界面积最大高原\n - 亚马孙河，自西向东注入大西洋，是世界上水量最大、流域面积最大的河流。\n - 亚马孙热带雨林\n - 环境效益：为全球提供新鲜空气；调节全球气候；保护水源，保护水资源；保护土壤，防止土壤侵蚀；提供良好的生物生存环境，维护生物多样性。\n - 经济效益：提供木材、药材、食品等。\n - 农业\n - 发展条件：位于热带，气候湿润，地形平坦\n - 主要农产品：以热带经济作物为主，咖啡豆、甘蔗、柑橘、大豆等农产品产量居世界首位\n - 咖啡豆、蔗糖、橘子、大豆是重要的出口创汇产品。\n - 工业分布在矿产资源和农产品附近，人口稠密、市场广阔、交通便利的东南沿海地区。\n - 人口和城市\n - 最显著的人口特征是混血种人数量多\n - 人口城市主要分布在东南沿海地区，原因是气候温暖湿润，交通便利，开发历史悠久。\n - 多元的巴西文化：狂欢节、桑巴舞、足球", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/69e75987b1573747de4f72a991612227.png", "anno": "- 微服务专题\n - SpringBoot\n - SpringBoot与微服务的区别与联系\n - 快速构建SpringBoot工程\n - SpringBoot核心组件start、actuator等剖析\n - 快速集成Mybatis实战\n - 快速集成Duboo及案例实战\n - 快速集成 redis 及案例实战\n - 构建Swagger插件实现API管理及接口测试体系\n - SpringCloud\n - Zuul路由网关详解及源码探析\n - Ribbon客户端负载均衡管理与算法详析，与服务端负载均衡区别\n - Feign声明式服务调用方式实现\n - Hystrix 服务熔断及服务降级实战 \n - Eureka注册中心构件及源码分析\n - Config配置服务中心与svn、git快速集成\n - Sieuth调用链路跟踪\n - BUS消息总线技术\n - Stream消息驱动的微服务\n - Docker虚拟化技术\n - Docker介绍、安装与使用\n - Docker组成\n - 镜像\n - 容器\n - 私有仓库\n - Docker Compose部署脚本\n - Docker Service服务编排\n - Docker Redis分布式集群部署\n - Docker File构建\n - 通过Maven插件打包Docker镜像\n - Docker部署及运行应用程序\n - Kubernetes 编配\n - 基于Docker构建Mysql集群实战\n - 高可用SpringCloud微服务与Docker集成实现动态扩容实战", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/efd328d0ee61daf65ffbdbd51851f33f.png", "anno": "- 香港和澳门\n - 位置\n - 香港：珠江口东侧，与广东省深圳市相邻\n - 澳门：珠江口西侧，与广东省珠海市相邻\n - 组成\n - 香港：“新界”、九龙、香港岛\n - 澳门：澳门半岛、氹仔岛、路环岛\n - 经济发展\n - 港澳经济繁荣，被誉为“东方明珠”。\n - 不利条件：地狭人稠、自然资源匮乏。\n - 有利条件：发挥地理位置优势，依托祖国内地强有力的支持，港澳所需淡水、食品、原料和燃料等生产和生活资料主要靠祖国内地稳定供应。\n - 香港：重要的国际金融中心、贸易中心、信息服务中心及航运中心。香港的维多利亚港是世界著名的天然良港。\n - 澳门：博彩旅游业是其经济发展的支柱产业。\n - 香港和内地的经济合作优势互补，互惠互利\n - 祖国内地优势：厂房、能源，丰富劳动力等\n - 香港优势：先进的管理经验、信息、技术、资金\n - 早期合作模式：“前店后厂”，“店”是香港，“厂”是祖国内地（珠江三角洲）\n - 目前合作模式：香港重点发展服务业，广州重点发展制造业，二者共同成为世界先进制造业和现代化服务业基地。", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/03a9b10500ef6e7dd6fea8161698c5a9.png", "anno": "- 西北地区\n - 位置：位于大兴安岭以西，长城和昆仑山、阿尔金山、祁连山以北。\n - 自然特征\n - 地形：以高原、盆地为主，东部主要是内蒙古高原，西部高山、盆地相间分布\n - 位于我国地势的第二级阶梯。\n - 气候：温带大陆性气候为主，是我国干旱面积最广的地区。\n - 植被景观自东向西变化规律：草原——荒漠草原——荒漠\n - 河流：由于气候干旱，这里河流稀少，且多为季节性河流，是我国内流河的主要分布区。\n - 自然地理特征：干旱\n - 海陆位置（主要影响因素）：西北地区距海较远\n - 地形因素：被山岭重重阻隔，湿润气流难以到达\n - 农业\n - 以畜牧业为主\n - 内蒙古牧区：三河马、三河牛、宁夏滩羊等\n - 新疆牧区：新疆细毛羊、伊犁马等\n - 灌溉农业\n - 不利条件：天然降水较少。\n - 有利条件：夏季气温高，光照强，昼夜温差大。\n - 灌溉水源：地下水和河水\n - 古老的引水工程：坎儿井\n- 青藏地区\n - 位置：位于我国西南部，横断山脉以西，昆仑山脉—祁连山脉以南，南至国界。\n - 自然环境\n - 地势特征：高（位于我国地势第一级阶梯上）\n - 地形特征：远看是山，近看是川\n - 地表景观：由于海拔高，许多山峰终年积雪，冰川广布\n - 气候：冬季高温，年温差小，日温差大，降水少，形成青藏地区独特的高原气候。\n - 河流：是长江、黄河、澜沧江、雅鲁藏布江等众多大江大河的发源地。\n - 自然地理特征：高原\n - 农业\n - 以畜牧业为主\n - 牧区：西藏牧区，青海牧区\n - 畜种：生长着能适应高寒、缺氧、低气压等特殊高原环境牦牛、藏绵羊、藏山羊。\n - 河谷农业\n - 不利条件：青藏地区海拔高，因此制约其种植业发展的因素是热量不足。\n - 河谷优势：地势较低，气温较高，土质较肥沃，水源充足\n - 分布：雅鲁藏布江谷地，湟水谷地。\n - 主要农作物：喜温凉的青稞和小麦。", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/c36a5b4053a72a057afed3d9b1fd4119.png", "anno": "- 性能调优专题\n - 性能优化如何理解\n - 性能基准\n - 什么是性能优化\n - 衡量标准\n - JVM调优\n - JVM内存管理机制\n - 内存区域与内存溢出异常\n - 运行时数据区域\n - 程序计数器\n - 虚拟机栈\n - 本地方法栈\n - 虚拟机对象\n - 垃圾收集器与内存分配策略\n - 垃圾回收算法与基础\n - 串行处理器\n - 并行处理器\n - 内存分配与回收策略\n - 虚拟机性能监控与故障处理工具\n - JVM内存管理机制\n - 类文件结构\n - 类加载机制\n - 字节码执行引擎\n - 程序编译与代码优化\n - 编译期优化\n - 运行期优化\n - 实战调优案例与解决方法\n - JAVA程序性能优化\n - 优雅的创建对象\n - 注意对象的通用方法\n - 美的设计陷阱\n - 泛型需要注意的问题\n - Java方法的那些坑\n - 程序设计的通用规则\n - Tomcat\n - Tomcat线程模型分析\n - Tomcat生产环境配置及调优\n - Tomcat运行机制及框架\n - Mysql\n - 探析BTree机制\n - 执行计划深入分析\n - Mysql索引优化详解\n - 慢查询分析与SQL优化", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/790622f16404651b43554dfe79583d07.png", "anno": "- 04证据\n - 1.先确定本案待证事实为何\n - 无需证明的事实\n - 自然规律以及定理\n - 不可以推翻/反驳\n - 法律推定、经验推定 众所同知、自认、生效判决仲裁公证\n - 可以推翻/反驳\n - 2019民诉证据规定第 10条\n - 自认\n - 概念\n - 陈述/承认不利于己的事实\n - 不等于对诉讼请求的承认\n - 民诉证据规定 第3条第1款\n - 效力\n - 免除对方举证责任\n - 原则：应以此作为裁判依据\n - 形式\n - 书面\n - 起诉状、答辩状、代理词中\n - 口头\n - 在证据交换、询问、调查等诉讼过程中\n\t - 方式\n - 明示/默示均可\n - 默示\n - 经审判人员说明并询问后仍默示\n - 亲自/代理均可\n - 代理人自认例外\n - ①授权委托书明确排除的事项\n - ②当事人在场对诉讼代理人的自认明确否认\n - 民诉证据规定 第 5 条\n - 普通共同诉讼部分自认：只对自认人自己有效\n - 必要共同诉讼部分自认\n - ①其他共同诉讼人予以否认的不发生自认的效力\n - ②其他共同诉讼人默示的，视为全体共同诉讼人的自认\n - 民诉证据规定 第 6 条\n - 附条件自认\n - 由法院综合案件情况决定是否构成自认\n - 自认不成立\n - 和解调解不自认\n - 身份关系不自认\n - 国家社会利益+恶意串通不自认\n - 与法院查明不符不自认\n - 程序性事项不自认\n - 撤回自认\n - 法庭辩论终结前提出撤回申请\n - 对方当事人同意或者自认是在受胁迫或重大误解情况下作出\n - 民诉证据规定 第 9 条第 1 款", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a74f57ebb13d97fff9ea9963e3f52fec.png", "anno": "- 黄土高原\n - 位置与范围\n - 位置范围：东起太行山脉，西至乌鞘岭，北连E内蒙古高原（大致以长城为界），南抵秦岭\n - 所跨主要省区：甘肃、宁夏、陕西、山西\n - 黄土风情：传统民居—窑洞，民歌—信天游，白羊肚头巾\n - 黄土高原形成\n - 黄土高原是世界最大的黄土堆积区\n - 成因“风成说”——黄土是从中亚、蒙古高原和我国西北部内陆地区的荒漠、戈壁吹过来的。\n - 黄土地貌景观：塬、墚、峁、川等\n - 地表特征：长期的水土流失，导致地表千沟万壑，支离破碎\n - 生态环境问题：水土流失\n - 自然原因\n - ①黄土土质疏松，多孔隙，许多物质易溶于水\n - ②夏季降水集中，且多暴雨\n - ③地表裸露，缺乏植被保护\n - 人为原因\n - ①人多地少，长期的过垦过牧，导致生态环境恶化\n - ②修路、采矿等活动破坏地表\n - 危害\n - ①带走肥沃土壤，破坏农田和村庄，自然灾害加剧，生态环境破坏。\n - ②泥沙下泄导致河流含沙量剧增，淤塞下游河床、水库，给防洪及河道整治造成了巨大困难。\n - 治理\n - ①采取植树种草等生物措施和建梯田、修档土坝等工程措施相结合。\n - ②合理安排生产活动，如陡坡退耕还林还草，减少过度放牧牲畜数量等。", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/bd5465787689c51370f3b2115db08c04.png", "anno": "- 物态变化\n - 温度\n - 定义：表示物体的冷热程度\n - 规定\n - ①一个标准大气压下冰水混合物的温度定为0℃\n - ②将一个标准大气压下沸水的温度定为100℃\n - 将①和②之间分成100份，每份为1℃\n - 温度计\n - 构造：玻璃外壳、玻璃泡、毛细管、液体、刻度等。\n - 原理：液体的热胀冷缩\n - 使用\n\t - 使用前：观察量程和分度值\n - 使用时：\n\t\t - ①玻璃泡要完全浸入待测液体中，且不要碰到容器壁和底部\n - ②待示数稳定后再读数\n - ③读数时温度计要留在液体中，视线要与液柱的上表面相平\n - 物态变化\n - 熔化和凝固\n - 熔化：物质从固态变为液态的过程\n - 凝固：物质从液态变为固态的过程\n - 晶体和非晶体\n - 区别：晶体具有一定的熔点，非晶体没有一定的熔点\n - 晶体熔化条件：达到熔点，不断吸热\n - 特点：温度不变，需吸热\n - 熔点和凝固点\n - 熔点：晶体熔化时的温度\n - 凝固点：晶体凝固时的温度\n - 同一物质的凝固点和熔点相同\n - 汽化和液化\n - 汽化两种方式\n - 蒸发\n - 影响蒸发快慢的因数\n - ①液体温度的高低\n - ②液体表面积的大小\n - ③液面上方空气流动的快慢\n - 作用：吸热，有制冷作用\n - 沸腾\n - 条件：达到沸点，不断吸热\n - 特点：温度不变，但仍需吸热\n - 液化的两种方式：①降低温度；②压缩体积\n - 升华和凝华\n - 升华：物质从固态直接变成气态的过程\n - 凝华：物质从气态直接变成固态的过程\n - 特点：升华吸热，凝华放热", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/4b7d0724c9e45aab16ef040a05ed588e.png", "anno": "- 基期量\n - 基期计算\n - 加减计算\n - 现期量 - 增长量\n - 除法\n - 现期量 $ {\\div} $ (1 + r)\n - r > 0，r < 0\n - 选项差距小\n - 化除为乘\n - 基期比较\n - 分数比较\n - 一大一小\n - 同大同小\n - 基期和差\n - 基期变形公式的运用\n - 增长量 $ {\\div} $ r\n- 现期量\n - 保持增长量\n - 现期量=基期量+增长量\n - 保持增长率\n - $ \\text{现期量}=\\text{基期量}\\times(1 + r) $\n - 按照名义增长率求现期\n - $ \\text{现期量}=\\frac{\\text{现期量}}{1+\\text{名义增长率}}\\times(1+\\text{实际增长率}) $\n - (按照给定公式) 求现期量\n- 增长率\n - 计算\n - 百分点计算\n - 增幅带正负号高减低加\n - 降幅用绝对值高减低加\n - 具体量计算\n - 给现期量、基期量\n - $ \\frac{\\text{现期量-基期量}}{\\text{基期量}} $\n - 给现期量、增长量\n - $ \\frac{\\text{增长量}}{\\text{现期量 - 增长量}} $\n - 比较\n - 给现期量、基期量\n - 最值\n - 增长率折线图、增长率排序\n - 给现期量、增长量\n - $ \\frac{\\text{增长量}}{\\text{现期量}} $\n - 特定增长率比较 (10%、20%、50%)\n - 现期量 > 基期量 $ \\times $ 1.1\n - 现期量 > 基期量 $ \\times $ 1.2\n - 现期量 > 基期量 $ \\times $ 1.5", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/8c51b160d92f52b0ab1d2250006af121.png", "anno": "- AI领域\n - 机器学习\n - 传统机器学习\n - 深度学习\n - 强化学习\n - 计算机视觉\n - 图像识别\n - 图像生成\n - 视频理解\n - 自然语言处理\n - 机器翻译\n - 对话系统\n - 问答系统\n - 知识图谱\n - 知识表示\n - 知识推理\n - 知识获取\n - 语音识别\n - 自然语言处理\n - 语音交互系统\n - 机器人\n - 移动机器人\n - 工业机器人\n - 服务机器人", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/dc0dc7bd94a275a8c1038fa017e40d5e.png", "anno": "思维导图1(0,0),(0,0)\n\n- 世界贸易组织\n - 于1995年1月1日正式开始运作\n - 负责管理世界经济和贸易秩序\n - 总部\n - 瑞士 + 日内瓦\n - 前身\n - 1947年订立的关税及贸易总协定\n - 性质\n - 是一个独立于联合国的永久性国际组织，在经营上有其独立性\n - 首要目标\n - 帮助开展平稳、自由、公平的贸易\n\n思维导图2(0,0),(0,0)\n\n- 2022行政执法经济常识考点\n - 央行增加外汇储备\n - 外币增多\n - 外币不值钱贬值\n - 本币相对升值\n - 多发本币，使其相对稳定\n - 会导致货币供应量增多\n - 通货紧缩\n - 货币少，物价降，总需降\n - zf多花少收钱\n - zf增加社会福利支出\n - 通货膨胀\n - 货币多，物价高，总需剩\n - zf多收收花钱\n - 增税率增税收\n - 流动性过剩\n - 引起通货膨胀\n - 三提高一卖出\n - 提高\n - 存款准备金率\n - 再贴现率\n - 利率\n - 卖出\n - 有价证券\n - 包括国债\n\n思维导图3(0,0),(0,0)\n\n- 主体\n - 卖出\n - 货币政策\n - 发行\n - 财政政策", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/49e860dfcbae335383ca47e26c5209b4.png", "anno": "- 教育及其产生与发展\n - 教育的含义\n - 教育一词来源：一人一书一句话\n - 教育的定义\n - 广义：一切有目的增进 家庭、社会、学校\n - 狭义：学校教育 有计划 有组织 有目的\n - 教育的基本要素\n - 最基本要素：教育者（主导）+受教育者（主体）\n - 中介：教育影响（教育中介系统）=教育内容+教育手段\n - 教育的属性\n - 本质属性：教育是有目的的培养人的社会活动\n - 社会属性\n - 永恒性：人在教育在\n - 历史性：不同阶段，教育性质、目的、内容不同\n - 相对独立性（不平衡性）：有自身发展规律，超前或者落后政治经济文化\n - 生产性\n - 民族性\n - 教育的功能\n - 作用对象：个体功能（主体功能）、社会功能（派生功能）\n - 作用性质：正向、负向\n - 呈现形式：显性、隐形\n - 教育的起源\n - 本能生利息\n - 心理仿孟禄\n - 米凯爱劳动\n - 教育的发展\n - 原始社会：教育内容简单、与劳动相关、无阶级\n - 古代社会：劳教分离、育阶段\n - 奴隶社会\n - 中国\n - 夏商西周春秋：夏最早产生学校-庠、序\n - 教育内容：六艺（以礼乐为主）\n - 春秋私学兴起：稷下学宫\n - 西方\n - 古埃及：宫廷学校、僧侣学校（最高级）、文士学校（文字、计算）\n - 古印度：婆罗门（《吠陀》）僧侣、佛教\n - 古希腊：雅典（崇文、德智体美）、斯巴达（尚武）\n - 封建社会\n - 中国\n - 汉：官学 罢黜百家……\n - 隋唐：科举制\n - 宋朝：教育内容四书五经 民间办学-书院\n - 明：国子监 八股文\n - 清：1905年科举制废除\n - 西方\n - 教会学校-七艺（三科四学）\n - 骑士学校：七技（骑马、击剑、打猎、投枪、游泳、下棋、吟诗）\n - 近代社会：\n - 近现代：法国仪式\n - 现代（20世界以后）：全民多现身", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/63db38b528aab83d9fe7fcdb8aea8d83.png", "anno": "- 第三章学习理论\n - 第一节学习概述\n - 概念\n - 含义\n - 广义的学习包括动物和人类\n - 行为或（ ）的变化\n - 变化是相对（ ）的\n - 后天习得或反复经验引起的\n - 狭义的学习仅仅指（ ）的学习\n - 区别\n - 人的学习是掌握社会历史经验和个体经验的过程\n - 人的学习是以（ ）为中介的过程\n - 人的学习是一种有目的的、自觉的、积极主动的过程\n - 学生的学习\n - 定义：人类学习的一种特殊形式\n - 学习内容\n - 知识、技能和学习策略的掌握\n - 问题解决能力和创造性的发展\n - 道德品质和健康心理的培养\n - 分类\n - 加涅\n - 学习层次分类\n - 信号学习\n - （ ）学习\n - 连锁学习\n - 言语联结学习\n - （ ）学习\n - （ ）学习\n - 规则或原则学习\n - （ ）学习\n - 学习结果分类\n - （ ）技能\n - （ ） \n - 言语信息\n - 动作技能\n - 态度\n - 安德森\n - （ ）知识（描述性知识）\n - （ ）知识（操作性知识）\n - 奥苏伯尔\n - 符号学习\n - 概念学习\n - 命题学习\n - （ ）学习（总括学习）\n - （ ）学习（类属学习）\n - 并列结合学习\n - 我国\n - 知识的学习\n - 技能的学习\n - （ ）的学习", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/5cb3a29a2d44f3905080672747266d9a.png", "anno": "- 第4课唐朝的中外文化交流\n - 唐与日本\n - 日本来学\n - 概况：唐朝时，中日交流频繁\n - 人员：遣唐使、留学生、留学僧\n - 目的：学习唐朝的先进文化\n - 影响：\n - ● 把唐朝先进的制度、天文历法、文学、典籍、制度等传回日本\n - ● 对日本社会的发展产生了深远的影响\n - 鉴真东渡\n - 时间：754年到达日本，唐玄宗时\n - 经历：接受日本僧人邀请，先后六次东渡，终于成功\n - 贡献：\n - ● 对日本社会的发展产生了深远的影响\n - ● 传授佛经，传播中国的医药、文学、书法、建筑、绘画等\n - ● 主持修建的唐招提寺被日本视为珍宝\n - 唐与新罗\n - 地理位置：是朝鲜半岛上的国家\n - 目的：派遣使节和大批留学生到唐朝学习中国文化\n - 影响：\n - 对新罗\n - 政治：仿唐制建立了政治制度，采用科举制选拔官吏\n - 文化：引入了中国的医学、天文、历算等科技成就\n - 对唐朝：\n - 许多新罗商人来中国经商，新罗物产居唐朝进口首位\n - 朝鲜音乐传入中国，不仅在宫廷演出，还流行于民间\n - 玄奘西行天竺\n - 概况：唐与天竺有频繁的交往\n - 经过：贞观初年玄奘西行前往天竺取经，在佛学最高学府那烂陀寺游学，成为远近闻名的佛学大师\n - 代表作：\n - 玄奘口述，弟子记录的《大唐西域记》\n - 主要内容：记载了所游历过的100多个国家和地区的山川风物及社会习俗\n - 影响：是研究中外交流史的珍贵文献\n - 对外交往\n - 原因：\n - ● 国家统一、社会安定、经济文化繁荣、国力强盛（根本）\n - ● 唐朝实行对外开放政策，鼓励各国来华贸易\n - ● 对外交通便利发达\n - 特点：对外开放、双向交流\n - 启示：各国各族均有所长，应多向他人学习，才能充分吸取别人的精华，丰富自己\n - 玄奘与鉴真\n - 共同之处\n - ● 都是唐朝的僧人\n - ● 都对唐与邻邦的友谊和文化交流作出重大贡献\n - ● 都为完成自己的使命出生入死，历尽艰辛\n - ● 都有一种顽强的毅力和百折不回的精神\n - 优秀品质：学习他们不畏艰险，顽强的毅力和百折不回的精神", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/877859d917d16720b23c8e7b00a2c955.png", "anno": "- 思维导图的教学应用\n - 学习收获\n - get一件学习利器\n - 认识一批学习同伴\n - 创作一些思维导图\n - 感想\n - 思想在交流中碰撞而升华\n - 付出总会有收获\n - 生命不息 学习不止 思维不绝\n - 创新学习\n - 支持教师学习\n - 支持协作教研\n - 支持学生学习\n - 从思维训练迈向思维教学\n - 课堂教学\n - 教学过程\n - 课堂导入\n - 展现教学内容\n - 组织教学\n - 引领教学\n - 课堂小结\n - 自主探究学习\n - 协作学习\n - 教学评价\n - 走进思维导图\n - 概念\n - 特征\n - 焦点集中 主题突出\n - 由内向外 主干发散\n - 层次分明 节点边结\n - 关键词语 理清关系\n - 功能\n - 知识整理\n - 思维散发\n - 评价\n - 规范性\n - 质量\n - 认知科学理论\n - 创作思维导图\n - 手绘\n - 规则\n - 中心主题\n - 逐级分支\n - 曲线\n - 颜色\n - 图形\n - 软件\n - MindMapper\n - XMind\n - Freemind\n - WPS 2019\n - 教学准备\n - 开展预习\n - 设计教学目标\n - 设计教学内容\n - 板书中的应用\n - 设计教学活动", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3d6fdb05d5ed8348aa81f22c100febf4.png", "anno": "- 黄土高原\n - 位置与范围\n - 位置范围：东起太行山脉，西至乌鞘岭，北连E内蒙古高原（大致以长城为界），南抵秦岭\n - 所跨主要省区：甘肃、宁夏、陕西、山西\n - 黄土风情：传统民居—窑洞，民歌—信天游，白羊肚头巾\n - 黄土高原形成\n - 黄土高原是世界最大的黄土堆积区\n - 成因“风成说”——黄土是从中亚、蒙古高原和我国西北部内陆地区的荒漠、戈壁吹过来的。\n - 黄土地貌景观：塬、墚、峁、川等\n - 地表特征：长期的水土流失，导致地表千沟万壑，支离破碎\n - 生态环境问题：水土流失\n - 自然原因\n - ①黄土土质疏松，多孔隙，许多物质易溶于水\n - ②夏季降水集中，且多暴雨\n - ③地表裸露，缺乏植被保护\n - 人为原因\n - ①人多地少，长期的过垦过牧，导致生态环境恶化\n - ②修路、采矿等活动破坏地表\n - 危害\n - ①带走肥沃土壤，破坏农田和村庄，自然灾害加剧，生态环境破坏。\n - ②泥沙下泄导致河流含沙量剧增，淤塞下游河床、水库，给防洪河道整治造成了巨大困难。\n - 治理\n - ①采取植树种草等生物措施和建梯田、修挡土坝等工程措施相结合。\n - ②合理安排生产活动，如陡坡退耕还林还草，减少过度放牧牲畜数量等。", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/f89985d375a4960f947868d502dc6508.png", "anno": "- 微信模块（信息连接）\n - 对话列表\n - 个人对话\n - 对话管理功能\n - 删除对话\n - 标记未读/已读\n - 查看对话详情\n - 发送功能模块\n - 发送语音\n - 发送文字\n - 发送表情\n - 发送本地照片/拍摄照片发送\n - 发送位置\n - 发送红包\n - 发送个人名片\n - 发送卡券\n - 语音聊天/视频聊天\n - 语音输入\n - 查看个人详细资料\n - 设置备注及标签\n - 发送消息\n - 视频聊天\n - 资料设置功能模块\n - 设置备注及标签\n - 把TA推荐给朋友\n - 设为星标好友\n - 不让Ta看我的朋友圈\n - 不看Ta的朋友圈\n - 加入黑名单\n - 投诉入口\n - 删除\n - 聊天详情功能模块\n - 添加群聊\n - 查看聊天中出现的小程序\n - 查找聊天内容\n - 置顶聊天\n - 消息免打扰\n - 设置当前聊天背景\n - 清空聊天记录\n - 投诉入口\n - 群聊对话\n - 三方服务号\n - 系统默认服务号\n - 订阅号入口\n - 搜索模块入口\n - 添加\n - 添加朋友模块\n - 发起群聊\n - 扫一扫\n - 收付款", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0608d6368fcceef033c579020d0a4817.png", "anno": "- 俄罗斯\n - 位置和范围\n - 半球位置：位于北半球，横跨东西半球\n - 经纬度位置：是世界上跨经度最广、东西距离最长的国家\n - 纬度位置：纬度较高，大部分在北温带，小部分在北寒带\n - 海陆位置：横跨亚欧大陆北部，北临北冰洋，东临太平洋，西濒波罗的海，东边隔白令海峡与美国阿拉斯加州（北美洲）相邻\n - 世界上面积最大的国家，历来被认为是欧洲国家，3/4的人口集中在欧洲部分，且欧洲部分一直是全国政治、经济、文化活动集中的地区。\n - 自然环境\n - 地势特点：东高西低，亚洲部分南高北低\n - 地形特征：西部以平原为主，东部多高原、山地\n - 主要地形区：欧洲部分——东欧平原，亚洲部分——西西伯利亚平原，中西伯利亚高原，东西伯利亚山地\n - 伏尔加河：被誉为 “母亲伏尔加” ，向南注入里海，是欧洲第一长河。\n - 鄂毕河、叶尼塞河、勒拿河：均位于北亚地区（西伯利亚地区），自南向北注入北冰洋\n - 贝加尔湖：世界上最深和蓄水量最大的淡水湖，被誉为 “西伯利亚的珍珠” 。\n - 气候：由于纬度较高，俄罗斯大部分地区冬季寒冷而漫长，夏季温暖而短促。\n - 重工业发达\n - 自然资源丰富：矿产资源、森林资源、淡水资源、水能资源丰富\n - 主要工业区：以莫斯科为中心的工业区（俄罗斯工业最发达的地区）；圣彼得堡工业区（是俄罗斯食品和纺织工业最发达地区）\n - 与人们生活密切相关的消费品制造业，发展相对滞后\n - 交通\n - 欧洲部分铁路非常密集，形成以莫斯科为中心的放射状铁路网；亚洲部分铁路比较稀疏。\n - 西伯利亚大铁路横跨亚欧大陆，被称为 “亚欧大陆桥” 。\n - 客运主要以铁路和公路运输为主，货运主要以铁路和管道运输为主", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/4c6afcb3425bf734cd52735b714997c2.png", "anno": "- 埃及\n - 位置和范围\n - 纬度位置：以热带和亚热带为主，大部分属于低纬度地区。\n - 海陆位置：非洲东北部，亚洲西侧，地跨亚、非两大洲，北面濒临地中海，东面濒临红海。西邻利比亚，南接苏丹，东北邻以色列、巴勒斯坦\n - 埃及既是亚、非之间的陆路交通要冲，也是大西洋与印度洋之间海上航线的捷径，战略位置十分重要。\n - 领土组成：大部分位于非洲；小部分位于亚洲的西奈半岛，地跨亚非大洲。\n - 自然环境\n - 地形特征：沙漠广布，平原主要分布在尼罗河沿岸和北部地中海沿岸的地区\n - 地势特征：南高北低\n - 尼罗河，世界第一长河，发源于非洲东部高原，注入地中海。\n - 气候：大部分地区属于热带沙漠气候\n - 人口和城市\n - 民族：90%以上是阿拉伯人，属白种人。\n - 宗教：伊斯兰教\n - 通用语言：阿拉伯语\n - 首都：开罗（位于尼罗河三角洲，非洲最大的城市和世界历史文化名城）\n - 人口：集中分布在尼罗河下游河谷和入海处形成的三角洲\n - 工业\n - 主要矿产：石油、铁、锰以及磷灰石；分布在地中海沿岸、红海沿岸及亚洲的西奈半岛沿海地区。\n - 埃及的工业规模在非洲仅次于南非，石油工业地位突出。\n - 农业\n - 农业生产集中在灌溉条件便利的尼罗河谷地和三角洲地区\n - 主要农产品有棉花、小麦、玉米、甘蔗和水果等，尤以盛产优质长绒棉而著称。\n - 旅游业\n - 旅游胜地有金字塔、狮身人面像、卢克索古城以及阿斯旺水坝等。\n - 埃及的旅游业发达的原因：历史悠久、文化古国，旅游景观丰富；沿河和对外交通便利；临近欧洲等经济发达地区，游客资源丰富", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/18779441f11fe0b3ade9cc9fd799c3b0.png", "anno": "- 水资源\n - 通常把地球上的淡水资源称为水资源。河流水和淡水湖泊水是我国主要的淡水资源。\n - 分布及措施\n - 夏秋多，冬春少，水资源季节变化大\n - 措施：兴建水库\n - 水资源地区分布不均\n - 措施：跨流域调水工程\n - 水资源南北缺\n - 措施：南水北调\n - 把长江流域丰富的水资源调到华北和西北地区\n - 东线工程：从长江下游扬州江都抽引长江水，主要利用京杭运河输送，北达山东与天津（华北地区）\n - 中线工程：目前从丹江口水库引水，沿线开挖渠道，自流北上，北达北京（华北地区）\n - 西线工程：把长江上游的水引入黄河，补偿西北地区的水资源（西北地区）\n - 问题：水污染、水浪费、水资源短缺\n - 措施\n - 农业\n - ①推广喷灌、滴灌技术\n - ②种植耐旱、耗水量少的作物\n - ③减少农药、化肥的使用\n - 工业\n - ①工业用水重复使用、循环使用\n - ②提高利用率\n - ③达标排放\n - 生活\n - ①一水多用\n - ②推广节水器具\n - ③少使用洗涤剂和清洁剂\n - 节约用水、保护水资源是解决我国缺水问题的重要途径之一。", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1a7875356c87a5d8b82487041356f6a1.png", "anno": "思维导图1(0,0),(0,0)\n\n- 东南亚\n - 范围：由中南半岛和马来群岛组成\n - “十字路口”位置：地处亚洲和大洋洲、印度洋和太平洋之间\n - 马六甲海峡是欧洲、非洲与东亚各港口最短航线的必经之路，也是连接太平洋与印度洋的重要海上通道\n - 全年高温、降水丰沛，有利于水稻和热带经济作物生长。\n - 是世界上天然橡胶、棕榈油、椰子和蕉麻纤维的最大产地。\n - 中南半岛\n - 地形特点：山河相间、纵列分布\n - 大城市主要分布在河流沿岸和河口三角洲。\n - 分布原因：地势平坦、土壤肥沃、易于灌溉、交通便利\n - 自然旅游资源：热带海滨风光，越南的下龙湾，印度尼西亚的巴厘岛\n - 人文旅游资源：“花园城市”之称的新加坡，泰国曼谷的水上市场，缅甸仰光的大金塔（佛教建筑），柬埔寨对的吴哥窟（佛教建筑），印度尼西亚-婆罗浮屠（佛教）\n\n思维导图2(0,0),(0,0)\n\n- 中东\n - “三洲五海之地”\n - 联系亚洲、欧洲、非洲三大洲\n - 沟通大西洋和印度洋\n - 位于阿拉伯海、红海、地中海、黑海和里海五海之间，地理位置非常重要。\n - 匮乏的水资源\n - 原因：中东气候干燥，河流稀少\n - 措施：海水淡化、发展节水农业、实行跨流域调水等\n - 世界石油宝库\n - 中东是目前世界上石油储量最大、生产石油最多的地区 \n - 主要分布在波斯湾及其沿岸地区\n - 主要产油国：有沙特阿拉伯、伊朗、伊拉克、科威特和阿拉伯联合酋长国等\n - 石油输出主要有海运和管道运输两种方式，输往东亚、欧洲西部和北美洲\n - 未来发展：实施经济发展多样化战略\n - 多元文化\n - 中东是基督教、伊斯兰教以及犹太教的发源地\n - 大多数是阿拉伯人，属于白种人，通用阿拉伯语，信仰伊斯兰教，这样的国家称为“阿拉伯国家”。", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/5fc9a2953f796f8d382e1cb65a97a44a.png", "anno": "- 商品详情页系统设计\n - 高并发问题\n - 商品数据规模问题\n - 商品系统需要保存的数据\n - 商品基本信息\n - 存储在MySQL中\n - 使用Redis作为前置缓存\n - 保留商品数据的每一个历史版本\n - 商品参数\n - 存储在MongoDB中\n - 图片和视频\n - 存储在对象存储中\n - CDN加速服务\n - 商品介绍\n - 静态化到商详静态页中\n - 思考题\n - 解决用户下单时商品调价的问题", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/04ddee59b03c3a92dff7ca64c8e63496.png", "anno": "- 内能 内能的利用\n - 分子热运动\n - 扩散现象\n - 定义：不同物质相互接触时，彼此进入对方的现象\n - 影响因素：温度越高，扩散现象越明显\n - 分子动理论\n - ①常见的物质由大量的分子、原子构成（分子间存在空隙）\n - ②一切物质的分子都在永不停息地做无规则运动\n - ③分子间存在作用力（引力和斥力）\n - 物体难以压缩，表现为斥力\n - 物体难以拉伸，表现为引力\n - 内能\n - 定义\n - 物体内所有分子无规则运动的动能以及分子势能的总和\n - 影响因素\n - 与物体的温度、质量、状态和体积有关\n - 同一物体温度越高，内能越大\n - 一切物体，不论温度高低，都有内能\n - 改变内能的途径\n - 做功\n - 对物体做功，物体内能增加\n - 物体对外做功，物体内能减小\n - 实质\n - 能量的转化\n - 热传递\n - 三种形式\n - 传导、对流、辐射\n - 实质\n - 能量的转移\n - 热量\n - 定义\n - 在热传递过程中，物体能量的改变量\n - 单位\n - 焦耳（J）\n - 热机\n - 蒸汽机等\n - 内燃机\n - 两种类型\n - 汽油机和柴油机\n - 两种热机共同点\n - 四冲程\n - 吸气、压缩、做功和排气冲程\n - 能量转化\n - 压缩冲程\n - 机械能转化为内能\n - 做功冲程\n - 内能转化为机械能\n - 两种热机不同点\n - 吸气冲程\n - 汽油机吸入空气和汽油的混合物\n - 柴油机吸入空气\n - 压缩冲程\n - 汽油机汽缸内压强相对小、温度低\n - 柴油机\n - 汽缸内压强更大、温度更高\n - 压缩冲程末，喷入雾状柴油，进行压燃式点火\n - 热机效率\n - 定义\n - 对外所做的有用功与燃料完全燃烧所释放的能量的比值\n - 公式\n - $ \\eta = \\frac{W_{有}}{Q_{放}} \\times 100\\% $\n - 提高方法\n - 减少各种能量损失\n - 使燃料更充分燃烧", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/bdd4ff032a74c0aee63b1158b110b879.png", "anno": "- 第三章 支付结算法律制度\n - 支付机构现金支付业务\n - 支付机构的概念和支付服务的种类\n - 种类：网络支付、预付卡、银行卡收单\n - 网络支付\n - 概念\n - 网络支付机构\n - 金融型支付企业\n - 互联网支付企业\n - 支付账户\n - 概念\n - 开户要求\n - 网络支付的相关规定\n - 网络支付的交易验证及限额\n - 业务与风险管理\n - 预付卡\n - 概念和分类\n - 预付卡的相关规定\n - 预付卡的限额\n - 预付卡的期限\n - 预付卡的办理\n - 预付卡的充值\n - 预付卡的使用\n - 预付卡的赎回\n - 预付卡的发卡机构\n - 支付结算纪律与法律责任\n - 支付结算纪律\n - 单位和个人的支付结算纪律\n - 银行的支付结算纪律\n - 违反支付结算法律制度的法律责任\n - 签发空头支票、印章与预留印鉴不符、密码错误支票的法律责任\n - 无理拒付、占用他人资金行为的法律责任\n - 违反账户管理规定行为的法律责任\n - 票据欺诈等行为的法律责任\n - 非法出租、出借、出售、购买银行结算账户或支付账户行为的法律责任", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b9591c53db3f8bf4076e5011b220c6fc.png", "anno": "- 医学微生物学\n - 细菌感染的检查方法与防治原则\n - 此节几乎不考\n - 病原性球菌\n - 金黄色葡萄球菌\n - 凝胶酶阳性菌\n - 致病物质：杀白细胞素、血浆凝固酶、肠毒素等\n - 所致疾病：败血症、局部化脓性感染、脓毒血症\n - 乙型溶血性链球菌\n - 致病物质\n - 外毒素：致热外毒素\n - 侵袭性酶：透明质酸酶、链激酶等\n - 细胞粒成分：M蛋白\n - 所致疾病\n - 化脓性感染：中耳炎、蜂窝织炎等\n - 中毒性疾病：猩红热\n - 超敏反应性疾病：急性肾小球肾炎、风湿热\n - 肺炎链球菌\n - 致病物质：溶血毒素、荚膜、肾畸形成因子\n - 所致疾病：支气管炎、大叶性肺炎、其他化脓性炎症、败血症\n - 淋病奈瑟菌\n - 致病物质\n - 外膜蛋白（黏附作用）、IgA1蛋白酶（黏附作用）、脂寡糖（具有内毒素活性）\n - 所致疾病：淋病，人是唯一宿主\n - 脑膜炎奈瑟菌\n - 致病物质\n - 脂寡糖（具有内毒素活性）、荚膜（抗吞噬）、IgA1蛋白酶（黏附作用）\n - 所致疾病：流行性脑脊髓膜炎，人是唯一宿主\n - 肠道杆菌\n - 共同特征\n - 有菌毛、大多有鞭毛\n - 非致病菌大多发酵乳糖，致病菌不发酵乳糖\n - 志贺菌属\n - 种类：福氏志贺菌（B群）、痢疾志贺菌（A群）、鲍氏志贺菌（C群）和宋内志贺菌（D群）\n - 致病物质：菌毛、内外毒素\n - 所致疾病：急性及慢性细菌性痢疾\n - 沙门菌属\n - 种类：伤寒、副伤寒沙门菌\n - 致病物质：内毒素、肠毒素、菌毛\n - 所致疾病：伤寒和副伤寒、食物中毒、败血症\n - 伤寒、副伤寒诊断：肥达反应\n - 埃希菌属\n - 致病性大肠埃希菌\n - 血清型0157:H7\n - EHEC\n - 所致疾病：出血性结肠炎\n - 放线菌和诺卡菌\n - 放线菌感染好发于面部、口腔、胸腹部等部位\n - 弧菌\n - 此节几乎不考", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/8feab0850b2b0d45c86ad6f8ddd9ae76.png", "anno": "- 极地地区\n - 南极地区\n - 纬度位置：主要位于南极圈以南\n - 海陆位置：以南极洲为主体，被太平洋、大西洋、印度洋三大洋包围\n - 地球最冷的地区，因为严寒，冰层厚，南极大陆被称为“冰雪高原”，因降水少被称为“白色荒漠”，风大被称为“风库”\n - 漂浮的冰川是其独特的景观\n - 代表动物：企鹅\n - 科学考察时间：每年11月到次年3月\n - 自然资源：固体淡水资源、矿产资源丰富、生物资源有磷虾、鲸、海豹等\n - 无常住人口\n - 北极地区\n - 纬度位置：主要位于北极圈以北\n - 海陆位置：以北冰洋为主体，被欧洲、亚洲、北美洲三大洲包围\n - 大部分地区终年冰封，气温不及南极地区严寒，降水比南极地区多，风速不及南极地区大\n - 代表动物：北极熊\n - 科学考察时间：每年6—8月\n - 矿产资源：石油、天然气、煤、铁等\n - 生物资源：海豹、海狮、海象等\n - 居民：因纽特人（黄种人）", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/ff623650647ef3778378247adb01bbe9.png", "anno": "- 找次品\n - 次品\n - 不合格的产品\n - 比合格轻\n - 比合格重\n - 思路\n - 用天平称重\n - 平衡\n - 无次品\n - 不平衡\n - 有次品\n - 策略\n - 方法\n - 把物体分多份\n - 每份尽量一样多\n - 规律\n - 条件\n - 只有1个次品\n - 次品比正品轻（重）\n - 关系\n - 2-3个\n - 称一次\n - 4-9个\n - 称两次\n - 10-27个\n - 称3次", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/99a2c239f2be519bbd77d80d23d52a95.png", "anno": "- 故事是这个世界的解药 如何写出高级感的书评？\n - 结构\n - 开头\n - 作品所获奖项，并讲出奖项来历或者相关内容\n - 作品的背景\n - 小说改编的电影，可以从电影入手介绍作品\n - 小说的内容是一个社会事件的话，可以在开头讲述这个社会事件在社会中的重视程度。用数据说明，更具有说服力\n - 先定主题，主题确定之后，开头的部分就已经开始了对主题的铺垫\n - 正文\n - 以一个主题来作为讲述书中内容的框架建设\n - 作品名字与故事情节中的关系\n - 面纱的两个含义\n - 作者想要表达的意图\n - 白鹿原的冲突\n - 刀锋的人生困境\n - 少年Pi奇幻漂流中的信仰\n - 作者在作品中所涉及的内容方面\n - 尘埃落定里的4个关键角色\n - 作品能够获得奖项的不同之处\n - 如果作品属于某一类型文学作品的话，就延展开来介绍这一类型文学作品的特质。\n - 霍比特人的奇幻类作品\n - 侠隐的武侠类作品\n - 克鲁苏神话的恐怖类作品\n - 可以写作者的生平，但是写作者的生平，也是为文章的主题服务的。\n - 《大唐狄公案》的作者是荷兰人，写他的生平，对东方文化感兴趣。\n - 主体正文可以从很多方面进行阐述，但是全是围绕确定的主题来写\n - 结尾\n - 总结出这部作品的现实意义，为什么大家会喜欢这部作品\n - 我知道笼中鸟为何歌唱\n - 霍比特人\n - 作者想要表达的主旨思想。可以用书中的原话来点明作者想要表达的用意\n - 美国众神\n - 面纱\n - 介绍与这本书同种意义的作品和小说，来作为结尾。\n - 使女的故事\n - 子主题2\n - 关键点：“荡”\n - 延展的能力很重要。包括作者生平、获得奖项，以及这本书对现实世界的意义。\n - 除了阅读书，看作者自己对这本书的讲评，以及其他人对这本书的点评非常重要。可以帮助我们找到写书评的主题。", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/76b3026791d42e8d567a81c3f4718de8.png", "anno": "- 施工安全技术\n - 高空作业\n - 级别\n - 一级高处作业 2~5m\n - 二级高处作业 5~15m\n - 三级高处作业 15~30m\n - 特级高处作业 30m以上\n - 种类\n - 特殊 强风、异温、雪天、雨天、夜间、带电、悬空、抢救\n - 一般高处作业\n - 风雪雨电，一夜抢空\n - 三级、特级、悬空高处作业，制订专项安全技术措施。\n - 施工通风\n - 压入式通风 竖井、斜井和短洞开挖宜采用\n - 吸出式通风 小断面长洞开挖宜采用\n - 混合式通风 大断面长洞开挖宜采用\n - 爆破作业\n - 爆破器材装卸 搬运者相距≥3m，不得与货物混装\n - 爆破信号\n - 预告信号 间断鸣三次长声\n - 准备信号 间断鸣一长、一短三次\n - 起爆信号 连续三短声\n - 解除信号 一次长声\n - 地下工程开挖\n - 相距30m以内时，两端暂停工作，退到安全地点\n - 当相向开挖的两端相距15m时，单头贯通\n - 防汛抢险\n - 原则为前堵后导、强身固脚、减载平压、缓流消浪", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/54119a8873cf37715b66b852bc3e0e07.png", "anno": "- 第一章教育与教育学\n - 第一节教育的内涵及其产生与发展\n - 教育发展历程\n - 原始教育特征\n - 没有从社会生产劳动和生活中分化出来\n - 没有阶级性，机会均等\n - 没有文字和书籍，教育内容方式极为简单\n - 古代教育\n - 中国\n - 奴隶\n - 夏\n - 非专门教育机构\n - 商\n - 学校正式产生\n - 大学、小学\n - 西周\n - 政教合一，学在官府\n - 国学、乡学\n - 六艺，其中礼乐是核心\n - 春秋战国\n - 私学兴起，官学衰微\n - 百家争鸣\n - 封建\n - 两汉\n - 董仲舒“罢黜百家，独尊儒术”\n - 太学\n - 隋唐\n - 建立科举制\n - 六学二馆\n - 宋\n - “四书五经”是教育内容\n - 程朱理学\n - 明\n - 八股文\n - 清\n - 1905年废科举\n - 外国\n - 奴隶\n - 古埃及\n - 宫廷、官职、文士、僧侣学校\n - 以儒为师，以吏为师\n - 古希腊\n - 雅典政治家、商人\n - 斯巴达军人、武士\n - 古罗马\n - 早期教育形式主要是家庭教育\n - 封建\n - 中世纪\n - 教会教育\n - 三科：文法、修辞、辩证法 四学：算数、几何、天文、音乐（又称七艺）\n - 骑士教育\n - 七技：骑马、游泳、投枪、击剑、打猎、下棋、吟诗 \n - 文艺复兴\n - 人文主义教育", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/e6eae0183aad7ef8650e73234fb0e51f.png", "anno": "- 1.2 施工项目管理组织与项目经理\n - 1.21 施工项目管理目标和任务\n - 1.施工项目管理目标及其相互关系\n - 施工项目目标内涵\n - 施工项目目标之间相互关系\n - 2.施工项目管理任务\n - 工程合同管理\n - 施工组织协调\n - 外部环境协调\n - 工程参建单位之间协调\n - 施工单位内部协调\n - 施工目标控制\n - 施工安全管理\n - 施工风险管理\n - 施工信息管理\n - 绿色施工管理\n - 1.22 施工项目管理组织\n - 1.施工项目管理组织结构形式\n - 直线式组织结构\n - 优点是结构简单、权力集中、易于统一指挥、隶属关系明确、职责分明、决策迅速.\n - 职能式组织结构\n - 优点是强调管理业务专门化，注意发挥各类专家在项目管理中的作用.\n - 直线职能式组织结构\n - 优点是集中领导、职责清楚，有利于提高管理效率\n - 矩阵式组织结构\n - 强矩阵式组织\n - 中矩阵式组织\n - 弱矩阵式组织\n - 2.责任矩阵\n - 责任矩阵的编制\n - 责任矩阵的作用\n - 1.23 施工项目经理职责和权限\n - 1.施工项目经理职责（11条）\n - 2.施工项目经理权限（7条）\n", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/223e948402f49ed510c0722afe38ff88.png", "anno": "- ☆创新型课题活动程序\n - P\n - 选择课题\n - 来源：上级下达、上级指导、小组自选\n - ★“小实活新”：课题小不宜大，最好有数据支撑，可以更好设定目标\n - 设定目标及目标可行性论证\n - 分为自定和指令性，两者程序有区别\n - 针对课题设定目标，目标数量一般1个，若多个，要相互制约，可测量，可检查\n - 提出方案并确定最佳方案\n - 针对症结进行原因分析\n - 人、机、料、法、环、测\n - 分析原因应逐层展开\n - 将每个原因分析到末端，以便直接采取对策\n - 从发生的地方开始，遵循原理（成因）、原则（条件）进行分析\n - 制定对策\n - 针对主要原因逐条制定对策，“一一对应”\n - 必要时，可对同一主要原因提出多种对策，并用客观方法评价比较\n - 评价维度：有效性、可实施性、经济性、可靠性、时间性\n - SWIH制定对策表，要因、WHAT（对策）、WHY（目标）、HOW（措施）、WHO（负责人）、WHAER（地点）、WHEN（时间）\n - 对策是总要求，措施是具体展开\n - D\n - 对策实施\n - 按照对策表逐条实施对策\n - 每条对策实施完毕，及时收集事实与数据，确认对策目标的完成情况；未达对策目标，修改措施并按照新的措施实施\n - 必要时，验证并处置对策实施结果在安全、质量、管理、环保等方面的负面影响，有负面影响要处理\n - C\n - 效果检查\n - 是否达到目标，若未达到，进入下一个PDCA循环\n - 所有实施完成后，进行效果检查，用数据对比\n - 必要时，确认经济效益或社会效益\n - A\n - 标准化\n - 有效的措施可纳入相关标准或管理制度，并报主管部门批准\n - 必要时，也要跟踪\n - 总结和下一步打算\n - 多方面总结，专业技术、管理方法、综合素质\n - 提出下一步活动方向", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3d94330a6905ff4becbd83492645a3b1.png", "anno": "- 第一章 绪论\n - 机器学习\n - 基本术语\n - 样例：有标记信息的示例\n - 标记：有实例结果的信息\n - 数据集：记录的集合\n - 属性/特征：事件或对象在某方面的表现或性质的事项\n - 属性值：属性上的取值\n - 属性/样本空间、输入空间：属性张成的空间\n - 特征向量：在样本空间中，每个示例都能找到自己的坐标位置，而每个点对应一个坐标向量，故把示例视为“特征向量”\n - 学习/训练：从数据中学得模型的过程，这个过程通过执行某个学习算法来完成\n - 训练样本：训练过程的每个样本\n - 训练集：训练样本组成的集合\n - 假设：学得模型对应了关于数据的某种潜在的规律\n - 模型/学习器：学习算法在给定数据和参数空间上的实例化\n - 测试：学得模型后，使用其进行预测的过程称为“测试”\n - 测试样本：被预测的样本称为测试样本\n - 测试标记：学得0后，对测试集x，可得到其预测标记y=f(x)\n - 泛化能力：学得模型适用于新样本的能力\n - 学习任务\n - 监督学习\n - 分类\n - 预测的是离散值\n - 二分类\n - 多分类\n - 回归\n - 预测的是连续值\n - y=为实数集\n - 无监督学习\n - 聚类\n - 学习过程中使用的训练样本不拥有标记信息\n - 科学推理基本手段\n - 假设空间\n - 科学推理基本手段\n - 搜索方法\n - 自顶向下\n - 自底向上\n - 从一般到特殊\n - 从特殊到一般\n - 归纳偏好", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/f7b745f54403476c45994210542c912a.png", "anno": "- 线程\n - 线程基础、线程之间的共享和协作\n - 基础概念\n - CPU核心数、线程数\n - CPU时间片轮转机制\n - 什么是进程和线程\n - 什么是并行和并发\n - 高并发编程的意义、好处和注意事项\n - 水平扩展跟垂直扩展\n - 2. Java中线程基础\n - 启动和终止线程\n - 三种启动线程的方式\n - Thread\n - Thread是一个线程对象，其余两个都是任务，线程启动必须要是对象\n - Runnable\n - run()\n - Callable\n - FutureTask包装\n - cal()\n - start跟run区别\n - 理解中断，协作式中断\n - 如何安全的终止线程 interrupt\n - 线程再认识\n - 线程常用方法\n - 线程的状态6种状态\n - 线程的优先级，默认为5，最高为10最低为1，优先级只是概率\n - Demon线程，跟主线程共存亡，finally不一定执行\n - 线程间的共享\n - synchronized\n - 对象锁\n - 类锁\n - 方法锁\n - volatile\n - 只是保持可见性，无法保证原子性\n - ThreadLocal\n - 线程间协作\n - 等待和通知机制\n - Wait,Notify/NotifyAll\n - 等待和通知的标准范式\n - notify和notifyAll应该用谁\n - Join方法\n - 实现任务队列\n - 底层是wait\n - 调用yield()、sleep()、wait()、notify()等方法对锁有何影响？\n - yield() 锁不释放，让当前运行线程回到可运行状态\n - sleep 调用后不放锁\n - wait 会释放锁\n - notify 不释放锁只是通知可以抢锁了", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/08c91ddfa398a16937e4593c6ee3561a.png", "anno": "- 长江三角洲地区\n - 位置与范围\n - 省区范围：上海市、江苏省南部、浙江省北部。\n - 海陆位置：长江三角洲地区位于长江的下游地区，濒临黄海和东海，地处江海交汇之地。\n - “鱼米之乡”\n - 地形以平原为主，地势低平\n - 亚热带季风气候，雨热同期，气候湿热，降水充沛\n - 河湖众多\n - 河流对区域发展的影响\n - 有利影响：为农业提供灌溉水源，提供便利水路交通，水产品，工业用水，生活用水，旅游业，发电\n - 不利影响：洪涝，水污染等。\n - 长江三角洲城市群\n - 我国城市分布最密集、经济发展水平最高的地区，是我国最大的城市群\n - 核心城市：上海市，是我国最大的城市，最重要的综合性工业城市。\n - 同城效应：借助发达的高速铁路和高速公路，人们往返于不同城市之间，就像生活在同一座城市一样。\n - 旅游业发达的原因\n - 丰富的人文旅游资源\n - 便捷的交通\n - 较为完善的服务设施", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/d1963411e61d93885f8935385d174e8a.png", "anno": "- 小肠\n - 主受盛化物\n - 受盛\n - 接受胃初步消化的饮食物\n - 化物\n - 有变化、消化、化生的意思，进一步消化吸收；肝胆疏泄作用：胆汁排入小肠，参与小肠化物\n - 受盛之官，化物出焉\n - 主泌别清浊\n - 清\n - 各种精微物质\n - 浊\n - 饮食物经消化后剩余的残渣部分\n - 分泌清浊，各走其道\n - 将水谷精微吸收，经脾传输全身\n - 将食物残渣下推大肠\n - 吸收大量水分，参与水液代谢（故称小肠主液）\n - 病理：泌别清浊失调→清浊不分，水谷混杂而下→小便短少、便溏泄泻；治法：“利小便即所以实大便”\n - 小肠主液\n - 藏于骨节筋膜颅腔之间、以滑利关节、滋养脑髓。\n- 大肠\n - 传导槽粕\n - 大肠者，传导之官，变化出焉\n - 传导\n - 接受小肠传来的食物残渣，病向下传送，引到至肛门排出体外；\n - 变化\n - 吸收食物残渣中剩余的水份→形成有形粪便\n - 病理：传导失常→不能传化糟粕→大便异常：大便秘结，或腹泻；\n - 大肠主津\n - 存在于气血之中，以利气血流行运通，主要分布于体表，见于外者为泪、唾液、汗，滋润脏腑、肌肉、", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a11986cd54455d3166269d7ed3427c32.png", "anno": "- 行为主义──外显行为\n - 桑代克试误说\n - 实验：猫开笼取食实验\n - 地位：教育心理学史上第一个较为完整的学习理论\n - 内容：学习是刺激与反映之间的连接，即S-R；学习是渐进的、盲目的、尝试错误\n - 规律\n - 准备律──预习、复习\n - 练习律──反复练习\n - 效果律──及时反馈\n - 巴甫洛夫经典条件反射理论\n - 实验\n - 狗进食摇铃实验\n - 内容\n - 无条件反射──本能\n - 条件反射──后天习得\n - 规律\n - 获得与消退\n - 刺激泛化与分化\n - 斯金纳操作性条件作用\n - 实验\n - 小白鼠迷箱实验\n - 基本规律\n - 强化：正强化（增加愉快刺激）、负强化（减少厌恶刺激）──增加行为出现的概率\n - 惩罚：正惩罚（增加厌恶）、负惩罚（减少愉快）──减少行为出现的概率\n - 消退：不予理睬\n - 程序教学\n - 小步子、立即反馈、自定步调、积极反应、低错误率\n - 班杜拉社会学习理论\n - 交互决定论\n - 观察学习\n - 含义：观察学习又称替代学习、模仿学习\n - 过程：注意、保持、动作再现、动机\n - 强化\n - 直接强化──自己受到表扬\n - 替代强化──榜样被奖励\n - 自我强化──自己奖励自己", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b233f2c1120a8ad0577111abaaee499d.png", "anno": "- 胃癌1\n - 病因\n - 地域环境\n - 日本发病率最高，美国则最低\n - 我国西北、东部沿海地区发病率明显高于南方地区\n - 饮食生活因素\n - 长期食用熏烤、盐腌食品的人群发病率高\n - 食物中缺乏新鲜蔬菜、水果与发病有关\n - 吸烟者发病危险性较不吸烟者高50%\n - HP\n - HP阳性者胃癌发生的危险性是HP阴性者的3~6倍\n - 遗传和基因\n - 胃癌病人有血缘关系的亲属发病率较对照组高4倍\n - 抑癌基因P53、APC、Rb缺失或突变\n - 癌基因K-ras、c-met、EGFR过度表达\n - 癌前病变\n - 癌前病变\n - 胃溃疡\n - 5%（内科学为<1%，8版外科学已删除该数据）\n - 胃息肉\n - 腺瘤性息肉恶变率10%~20%，特别是>2cm者\n - 萎缩性胃炎\n - 肠上皮化生，不典型增生可发生癌变\n - 残胃癌\n - 术后>5年\n - 胃黏膜上皮异型增生\n - 重度者75%~80%（内科学数据）\n - 病理类型\n - 早期胃癌\n - 凡病变仅累及粘膜及粘膜下层者，不论病灶大小，有无淋巴结转移\n - 微小胃癌——直径<0.5cm的胃癌\n - 小胃癌——直径0.6~1.0cm的胃癌\n - 进展期胃癌\n - 病变超过黏膜下层者\n - 分类\n - 早期胃癌\n - Ⅰ型（隆起型）、Ⅱ型（表浅型）、Ⅲ型（凹陷型）\n - 进展期胃癌\n - Ⅰ型（息肉型、肿块型）\n - Ⅱ型（溃疡局限型）\n - Ⅲ型（溃疡浸润型）\n - Ⅳ型（弥漫浸润型）\n - 皮革胃\n - 指弥漫浸润型胃癌累及全胃时，整个胃壁僵硬如革囊状\n - 恶性程度极高，发生转移早\n - 组织学分型\n - 一般型\n - 乳头状腺癌、管状腺癌、低分化腺癌、粘液腺癌、印戒C癌\n - 特殊型\n - 腺鳞癌、鳞癌\n - 类癌\n - 未分化癌、其他\n - 以上7、8版外科学均未讲述，见7版黄家驷外科学P1444（1993年日本胃癌研究会分型标准）", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/f29ad1ed9832ee543fbf9a2611c1330f.png", "anno": "- 第二章 心理发展的一般规律\n - 第一节 心理过程与个性心理\n - 心理过程\n - 认知\n - 情绪情感\n - 概述\n - 定义：客观事物是否符合自己的（需要）与愿望、观点而产生的体验\n - 种类\n - 情绪的基本分类 喜怒哀惧\n - 情绪状态 心境、（ ）和（ ）\n - 情感的社会内容 （ ）、理智感和（ ）\n - 功能 适应、（ ）、（ ）、信息\n - 情绪的调节与控制\n - 保持适宜的（ ）\n - 丰富并端正自己的（ ）\n - 改变个体的（ ）\n - 掌握（ ）的方法\n - 意志\n - 概念：自觉确定目的，支配和调节行动，克服内外部困难实现预定目的的心理过程\n - 特征\n - 独立性（反面：受暗示性、独断性）\n - （ ）（反面：优柔寡断、草率决定）\n - （ ）（反面：顽固、执拗、见异思迁）\n - （ ）（反面：任性、怯懦）\n - 过程\n - 准备阶段：双趋冲突、双避冲突、（ ）、多重趋避冲突\n - 执行决定阶段：反复修改行动方案\n - 个性心理\n - 气质\n - 概念：表现在心理活动的强度、速度、灵活性和指向性等方面的一种稳定的心理特征\n - 类型：胆汁质、（ ）、（ ）、抑郁质\n - 性格\n - 概念\n - 在生活中形成的对现实的稳固的（ ）及与之相适应的习惯化的（ ）\n\n - （ ）是个性的核心\n - 性格有好、坏之分\n - 差异\n - 性格的特征差异：态度、（ ）、情绪、意志\n - 性格的类型差异\n - 能力\n - 概念\n - 能力：能顺利完成某种活动所必须具备的个性心理特征\n - （ ）（核心：思维）：一般能力的综合\n - 个体差异\n - 质的差异：特殊能力（专门能力）\n - 量的差异\n - 第一个：1905 比纳 比纳—西蒙量表\n - 1916（ ）斯坦福—比纳量表\n - 1936 韦克斯勒 韦克斯勒智力量表：幼儿、儿童、成人\n - 常态分布：两头小，中间大\n - IQ≥（ ），超常儿童，1%\n - IQ<70，智能不足", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/d0f7c6aab074095be9e8f427ca113a5c.png", "anno": "- 辩证唯物主义\n - 辩证唯物论\n - 世界的物质性\n - 物质和意识的辩证关系原理\n - 意识能动作用原理\n - 运动的规律性\n - 客观规律主观能动性辩证关系原理\n - 一切从实际出发实事求是\n - 唯物辩证法\n - 联系观\n - 联系的客观性原理\n - 联系的多样性原理\n - 整体与部分辩证关系原理\n - 系统优化的方法原理\n - 发展观\n - 发展的普遍性和实质原理\n - 事物发展的趋势原理\n - 辩证否定观原理\n - 事物发展的状态原理\n - 矛盾分析法\n - 矛盾观\n - 对立统一关系原理\n - 矛盾普遍性原理\n - 矛盾特殊性原理\n - 矛盾矛特的辩证关系原理\n - 主次矛盾辩证关系原理\n - 矛盾主次方面辩证关系原理\n - 认识论\n - 实践的特点和形式原理\n - 实践和认识的辩证关系原理\n - 认识过程原理\n - 真理相关的知识原理", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/4ff67c947cbc7774fa908158c07f3c71.png", "anno": "- 思维导图用途\n - 展示\n - 教学\n - 推销\n - 报告\n - 解说\n - 演讲演示\n - 其他\n - 计划\n - 个人计划\n - 项目计划\n - 问卷设计\n - 研究计划\n - 预备会议\n - 其他\n - 创作\n - 写作\n - 学科研习\n - 水平思维\n - 新计划\n - 其他\n - 笔记\n - 阅读\n - 课堂\n - 学习\n - 面试\n - 演讲\n - 研讨会\n - 会议记录\n - 其他\n - 温习\n - 预备考试\n - 预备演讲\n - 其他须加深记忆的\n - 小组学习\n - 头脑风暴brainstorming\n - 小组讨论\n - 家庭/小组计划\n - 其他\n - 选择\n - 决定个人行动\n - 团体决议\n - 设定先后顺序\n - 解决问题\n - 其他须决定的", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/fdcf5e3e83cb0505c9d4b2250e44d670.png", "anno": "- 3) Recruitment and selection\n - Employers candidates\n - plication etter lum vitae)/\n - a good job\n - Recruitment (hiring)\n - Describe JD\n - n vacant online/on the b website ment agency\n - Head hurting Head hurter\n - a right people\n - By 黑手党家族成员御用铲屎官\n - 3steps\n - 1,background of applicants \n - 2,experience \n - 3,qualification\n - give someone interviews\n - shortlist candidates (chosen candidates\n - psychometric test (test personality and intelligence)\n - Check their references\n - Give someone job (Appoint someone)\n - Yes (Get a offer)accept it\n - No(turn down) refused \n - Give another pe", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/831bd1a56e36450326fedd5b7eb115af.png", "anno": "- Cross Chain\n - HTLC\n - Bridge (BlockChain)\n - RenBTC\n - ThorChain\n - ChainFlip\n - Bridge (Relay)\n - SPV Client\n - SPV Client\n - BTCRelay\n - NEAR Rainbow Bridge\n - Sublinear Light Client\n - NIPoPOW\n - FlyClient\n - zk-SNARK\n - zkRelay\n - Zendoo\n - recursive zk-SNARK\n - Celo\n - Stateless SPV\n - Summa\n - Xclaim\n - InterLay", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/dec2b5aefa0c996d739644a63a7be134.png", "anno": "- Throwable\n - Error\n - VirtualMachineError\n - OutOfMemoryError\n - StackOverflowError\n - AWTError\n - Exception\n - 检查异常\n - SQLException\n - IOException\n - 非检查异常\n - RuntimeException\n - NullPointerException\n - IndexOutOfBoundsException", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a10e1e64a19e22ffb83bece294ddab56.png", "anno": "- struct miscdevice\n - int minor\n - const char * name\n - const struct file_operations * fops\n - owner\n - llseek\n - read\n - write\n - poll\n - unlocked_ioctl\n - mmap\n - open\n - release\n - struct list_head list\n - next\n - prev\n - struct device * parent\n - struct device * this_device\n - const char * nodename\n - mode_t mode", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/26089f4b0877098c97c4f489f673830a.png", "anno": "- micro-serv-proj\n - common-jar-service\n - auth\n - customer\n - manager\n - dal\n - model\n - common\n - mq-producer\n - rule\n - core\n - client\n - base-service\n - admin-service\n - api-gateway\n - config-repo\n - eureka-service\n - config-service\n - zipkin-service\n - monitor-service\n - business-service\n - business-config\n - merchant\n - customer\n - batch\n - account\n - settle\n - mq\n - sms\n - transaction", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d0071d9c5e08321e668a694988da2f14.png", "anno": "- PFL Approaches\n - Global Model Personalization\n - Data Heterogeneity\n - Data-based\n - Data Augmentation\n - Client Selection\n - Model-based\n - Regularization\n - Meta-Learning\n - Transfer Learning\n - Learning Personalized Models\n - Solution Personalization\n - Architecture-based\n - Parameter Decoupling\n - Knowledge Distillation\n - Similarity-based\n - Multi-Task Learning\n - Model Interpolation\n - Clusteing", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/65cba4359d61623b77b0585fdb32f13a.png", "anno": "flowchart TD\n A[\"Learning System\"]\n B[\"1.learning module\"]\n C[\"2.experimental module\"]\n D[\"3.test module\"]\n E@{shape: text, label: \"1.first-person view\"}\n F@{shape: text, label: \"2.course selection\"}\n G@{shape: text, label: \"1.power control\"}\n H@{shape: text, label: \"2.experiment box function simulation\"}\n I@{shape: text, label: \"3.chip function\"}\n J@{shape: text, label: \"4.connection control\"}\n K@{shape: text, label: \"5.secondary function\"}\n L@{shape: text, label: \"6.output control\"}\n M@{shape: text, label: \"right and wrong judgment\"}\n\n A --- B\n A --- C\n A --- D \n B -->|interface jump| C\n C -->|interface jump| D\n D -->|interface jump| B \n B --- E\n B --- F\n C --- G\n C --- H\n C --- I\n C --- J\n C --- K\n C --- L \n D --- M", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2b67c9a3983b0292bae7e6f05dd9edfb.png", "anno": "- CCActionInstant\n - CCCallFunc\n - CCCallFuncN\n - CCCallFuncND\n - CCCallFuncO\n - CCFlipX\n - CCFlipY\n - CCHide\n - CCPlace\n - CCReuseGrid\n - CCShow\n - CCStopGrid\n - CCToggleVisibility", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/50bfa89d620cfa2234313c65df968442.png", "anno": "- FutureBuilder\n - T initialData\n - Future future\n - AsyncWidgetBuilder builder\n - BuildContext context\n - AsyncSnapshot snapshot\n - connectionState\n - none\n - waiting\n - active\n - done\n - data\n - error\n - hasData\n - hasError", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/c1800ce4925f76b398402129e664acf3.png", "anno": "- Typical Tasks\n - Mechanical\n - Visual inspection for complete and correct installation\n - Verification of name plate details at tanks, vessels, rotating equipment and other machines\n - Internal inspection of tanks and vessels\n - Hydrostatic test of vessels and tanks\n - Vendor representatives for large and/or complicated equipment\n - Dimension control\n - Bolt tensioning\n - Preservation\n - Piping\n - Structural\n - Electrical\n - Instrumentation", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a21bdb43695e364127e90bbed01edcc9.png", "anno": "- TTS Survey\n - Sec. 2: Key Components in TTS\n - Sec. 2.1: Main Taxonomy\n - Sec. 2.2: Text Analysis\n - Sec. 2.3: Acoustic Model\n - Sec. 2.4: Vocoder\n - Sec. 2.5: Towards Fully E2E TTS\n - Sec. 2.6: Other Taxonomies\n - Sec. 3: Advanced Topics in TTS\n - Sec. 3.1: Background and Taxonomy\n - Sec. 3.2: Fast TTS\n - Sec. 3.3: Low-Resource TTS\n - Sec. 3.4: Robust TTS\n - Sec. 3.5: Expressive TTS\n - Sec. 3.6: Adaptive TTS", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/eb9cb185571ff5640a16fc19fca03794.png", "anno": "- Change Management\n - \n - User access request\n - Operational activity\n - 7 R's of change\n - Who Raised the change?\n - What is the Reason for the change?\n - What is the Return required from the change?\n - What are the Risks involved with the change?\n - What Resources are required to deliver the change?\n - Who is Responsible for the change?\n - What is the Relationship between this change and others?\n - Change process\n - Create, record and review the RFC\n - Assess and evaluate the change\n - Authorise change\n - Plan updates and co-ordinate implementation\n - Review and close change record\n - Change Advisory Board (CAB)\n - Members\n - Activities\n - Meetings\n - Emergency change authorisation", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/09da3bff103dab66ffa4feefc8d025a1.png", "anno": "- LLM-as-a-Judge\n - What is LLM-as-a-Judge? [Section 2]\n - Informal Definition\n - Formal Definition\n - How to use LLM-as-a-Judge? [Section 2]\n - In-Context Learning\n - Model Selection\n - Post-processing\n - Evaluation Pipeline\n - Quick Practice\n - How to improve LLM-as-a-Judge? [Section 3]\n - Improving Prompts (ICL Based)\n - Improving LLMs' Abilities (Model Based)\n - Improving Final Results (Post-processing Based)\n - How to evaluate LLM-as-a-Judge? [Section 4, 5]\n - Basic metric\n - Bias\n - Adversarial Robustness\n - Meta-evaluation Benchmark\n - Application [Section 6]\n - Machine Learning\n - Other specific domains\n - Finance\n - Law\n - AI4Sci\n - Others\n - Challenges [Section 7]\n - Reliability\n - Robustness\n - Powerful Backbone Model\n - Future work [Section 8]\n - More Reliable\n - Data Annotation\n - Multi-Modal Evaluator", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9fad43236155841eecfedce061e63619.png", "anno": "- 1.Streaming Processing Concepts (common concepts for stream processing)\n - Bounded and Unbounded Streams\n - Latency and Throughput\n - Time Semantics\n - Processing Time\n - Event Time\n - Watermarks\n - Window\n - Trigger\n - 备注\n - Streaming 101 : https://www.oreilly.com/ideas/the-world-beyond-batch-streaming-101\n - Streaming 102 : https://www.oreilly.com/ideas/the-world-beyond-batch-streaming-102", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4c0b94c8af2ff39c3e10a8260f76b8f7.png", "anno": "- ActivityManagerService.startProcessLocked\n - ActivityManagerService.addAppLocked\n - ActivityManagerService.startProcessLocked\n - ActivityManagerService.startIsolatedProcess\n - LocalService.startIsolatedProcess\n - ActivityManagerService.startProcessLocked\n - ActivityManagerService.bindBackupAgent\n - ActivityManagerService.getContentProviderImpl\n - BroadcastQueue.processNextBroadcast\n - ActivityStackSupervisor.startSpecificActivityLocked\n - ActiveServices.bringUpServiceLocked\n - ActivityManagerService.startProcessLocked\n - ActivityManagerService.attachApplicationLocked\n - ActivityManagerService.cleanUpApplicationRecordLocked\n - ActivityManagerService.finishBooting", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/1cf61cd645b66e4fc543c051bc336d92.png", "anno": "- Human Pose\n - Pose Estimation\n - Monocular Single Image㊽\n - Heatmap-aware③\n - Occlusion-aware⑫\n - Cross-view images⑥\n - Video⑰\n - RGBD image②\n - Pose Recognition\n - Single image⑭\n - video⑥\n - Pose Generation\n - cross-model⑭\n - Motion Synthesis①", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/6e87748cf33c65984ad41ae9cb33d239.png", "anno": "- Throwable\n - Error\n - VirtualMachineError\n - OutOfMemoryError\n - StackOverflowError\n - AWTError\n - Exception\n - SQLException\n - IOException\n - 检查异常\n - RuntimeException\n - NullPointerException\n - IndexOutOfBoundsException\n - 非检查异常", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/098b13c0414078a66073bcd6c028e585.png", "anno": "- Online Courses\n - Positive\n - Sharing high-quality educational resources\n - students from different parts of the worldstudy in the world-renowned universities\n - economically deprived students continue their quest for knowledge\n - working people improve their qualification pursue higher studies\n - Decrease the possibility of contracting virus if a pandemic outbreaks\n - More private learning space\n - Negative\n - Learning utility\n - subjects which need practical hands-on experience\n - be easily distracted & disturbed\n - Computers are expensive to maintain &unreliable", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/70c77e8e1b8846404e43f88c771e0ad8.png", "anno": "- initialize_plugin_and_join\n - 1. gcs_module->initialize()\n - 2. configure_group_communication\n - 3. configure_group_member_manager\n - 4. initialize_recovery_module\n - 5. configure_and_start_applier_module\n - 6. initialize_asynchronous_channels_observer\n - 7. initialize_group_partition_handler\n - 8. start_group_communication\n - 9. view_change_notifier->wait_for_view_modification()", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9b221bf7300fa3ae0c60a2746387a3f5.png", "anno": "- struct miscdevice\n - int minor\n - const char $ ^{\\ast} $ name\n - const struct file_operations $ ^{\\ast} $ fops\n - owner\n - llseek\n - read\n - write\n - poll\n - unlocked_ioctl\n - mmap\n - open\n - release\n - struct list_head list\n - next\n - prev\n - struct device $ ^{\\ast} $ parent\n - struct device $ ^{\\ast} $ this_device\n - const char $ ^{\\ast} $ nodename\n - mode_t mode", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/76a0dacdbf2078b8c4b94b7c59219437.png", "anno": "- ③ interface Map\n - abstract class AbstractMap\n implements Map\n - class HashMap\n extends AbstractMap\n implements Map\n - class TreeMap\n extends AbstractMap\n implements NavigableMap\n - interface IterableMap extends Map\n - class Hashtable\n extends Dictionary\n implements Map\n - interface SortedMap\n extends Map\n - interface NavigableMap\n extends SortedMap", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/5a8645d0e605746e17484da1525bae86.png", "anno": "- Spark-Redis\n - com.redislabs.provider.redis\n - partitioner\n - RedisPartition.scala\n - RedisPartitioner.scala\n - rdd\n - RedisRDD.scala\n - streaming\n - RedisInputStream.scala\n - redisStreamingFunctions.scala\n - RedisStreamReceiver.scala\n - util\n - ParseUtils.scala/ConnecitonUtils.scala等\n - org.apache.spark.sql.redis\n - stream\n - RedisSource.scala\n - RedisStreamProvider.scala等\n - Redis Scala\n - ①\n - BinaryRedisPersistence.scala\n - DefaultSource.scala\n - HashRedisPersistence.scala\n - RedisPersistence.scala\n - RedisSourceRelation.scala", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/08ff53d8c6350fa7b8cb06438960d56e.png", "anno": "- boom & bust\n - dot-com crash 90s\n - tulips from Central Asia gifts Europeans\n - different colors\n - tulip mania:prospering economy +unregulated market +no government constraints→ prices can explode\n - ①more demand than supply: 24 tons of wheat /ship\n - ②the owner only cared price borrow mortagaging home\n - ③suddenly no bidders → noboday buy", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/97b00d1bc8c70855695f84fb31a3ebbb.png", "anno": "flowchart TD\n A[\"Frontend Pod\"]\n B[\"Service\\nlabel: app=backend\"]\n C[\"replicationController\\nlabel: app=backend\\nreplica: 3\"]\n D[\"Label Selector\"]\n E[\"Pod\\nlabel: app=backend\"]\n F[\"Pod\\nlabel: app=backend\"]\n G[\"Pod\\nlabel: app=backend\"]\n\n A --> B\n B -.-> D\n C -.-> D\n D --- E\n D --- F\n D --- G", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7e692ff7e8ed9e7f3f40189669e7cb49.png", "anno": "- Rachel's English\n - The sounds of American English\n - The Voice\n - Basics\n - Placement\n - Sounds\n - IPA\n - Alphabet\n - Letters\n - Vowels\n - Diphthongs\n - Consonants\n - Intonation, Linking, Rhythm, and Stress\n - Specific Words\n - Phrases\n - Conversion and Speech studies\n - Community\n - The keys to conversational English: rhythm, intonation, linking, and stress\n - Conversation:\n - how Americans really speak.", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a3e1077e56e0ffdc6f69c63548241d07.png", "anno": "- The Transcation\n - the heart of good nonfiction writing\n - no \"right\" way to write\n - find the real man or woman behind the tension\n - Humanity and warmth\n- Simplicity\n - strip every sentence to its cleanest components\n - Clear our heads of clutter\n - rewrite and make them tighter and stronger", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/1804e60a7763bafa48d95c84ffa3f552.png", "anno": "- type\n - VNodeTypes\n - string\n - VNode\n - Component\n - ConcreteComponent\n - ComponentOptions\n - FunctionalComponent\n - ComponentPublicInstanceConstructor\n - typeof Text\n - Symbol(__DEV__? 'Text': undefined)\n - typeof Static\n - Symbol(__DEV__? 'Static': undefined)\n - typeof Comment\n - Symbol(__DEV__? 'Comment': undefined)\n - typeof Fragment\n - typeof TeleportImpl\n - typeof SuspenseImpl\n - ClassComponent\n - interface ClassComponent {\n - new (...args: any[]): ComponentPublicInstance\n - __vccOpts: ComponentOptions\n }\n - typeof NULL_DYNAMIC_COMPONENT\n - NULL_DYNAMIC_COMPONENT = Symbol()", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9339016b66bcd9cd045800f82a0d7473.png", "anno": "- GraphicLayer\n - Graphic\n - Geometry\n - Point\n - Polygon\n - Polyline\n - attribute\n - infoTemplate\n - Symbol\n - SimpleLineSymbol\n - SimpleFillSymbol\n - SimpleMarkerSymbol\n - TextSymbol\n - PictureMarkerSymbol", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/3ecd1d980cfef195791e012f522207cd.png", "anno": "- Management Activity\n - Configuration control\n - Status accounting and reporting\n - Verification and audit\n\n- Release and Deployment Management\n - Provide services specified by Service Design\n - Responsible for end-to-end Release process\n - Build, test and deliver\n - Services meet customer and stakeholder requirements\n - Minimise impact on Service Operations\n - Media Library (DML)\n - Media control\n - Release control\n - Master copies of licenses and software\n - Copy of implementation and back-out documentation\n - Definitive Spares\n - Same level/version as live\n - Secure storage of Hardware spares\n - Release options\n - Phased\n - 'Big Bang'\n - 4 Approaches\n - Push\n - Pull\n - Manual\n - Automated", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/6aa971234e5d3c99efb7d98f5a9d677c.png", "anno": "- Model Compression for NLP\n - Methods\n - Weight Sharing\n - Encoder-Decoder Sharing\n - Layer Sharing\n - Low-Rank Factorization\n - Pruning\n - Unstructured Pruning\n - Structured Pruning\n - Lottery Ticket Hypothesis\n - Quantization\n - 8-Bit Quantization\n - Lower-Bit Quantization\n - Knowledge Distillation\n - Logit-based KD\n - Feature-based KD\n - Module Replacing\n - KD with Dynamic Target\n - Metrics and Benchmarks", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/93111d137cf9c88d66ce5488a9434d4b.png", "anno": "- 49 emotions (EARL)\n - Positive thoughts\n - Courage\n - Hope\n - Humility\n - Satisfaction\n - Trust\n - Reactive\n - Interest\n - Politeness\n - Surprise\n - Positive and lively\n - Amusement\n - Delight\n - Elation\n - Excitement\n - Happiness\n - Joy\n - Pleasure\n - Quiet positive\n - Calmness\n - Contentment\n - Relaxation\n - Relief\n - Serenity", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/16c8e9da58c0e1b19502f3ed67588f5f.png", "anno": "- Cold Commissioning\n - Dry Commissioning\n - Tests and procedures that are conducted without solvents or process fluids yet introduced to the plant.\n - Sometimes already done during pre-commissioning\n - Example activities\n - Interlock and emergency shut-down tests\n - Control system sequence checks\n - Wet Commissioning\n - Water or a solvent has been introduced into the systems or sub-systems.\n - Tests and procedures conducted with water or solvent.\n - \"Operating scenarios\"\n - Example activities\n - Running pumps with closed loops\n - Interlock and emergency shut-down tests\n- Hot Commissioning", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/aaea0162ce85cd7b344622bf4dcbc4ab.png", "anno": "- PLC Designer (3.x) libraries\n - Lenze FAST\n - About this documentation\n - Safety instructions\n - Conditions\n - System requirements\n - Establishing communication with the controller\n - Lenze FAST components\n - FAST Application Template\n - choose when build new project\n - FAST technology modules\n - FAST Motion\n - Application Credit (licence for Lenze FAST)\n - Error handling\n - Error sources\n - Error response\n - Error output\n - Utilities\n - Previous version (L-force Motion)", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9045c19ec34a67432e29af8dbadc3668.png", "anno": "- source build/envsetup.sh\n - sh\n - vendor/**/vendorsetup.sh\n - device/**/vendorsetup.sh\n - other\n - lunch/choosecombo\n - TARGET_*\n - include *AndroidProduct.mk/include *BoradConfig.mk\n - other\n - m/make\n - mm\n - mmm\n - mma\n - mmma\n - other", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4c71a9a8e901a6f641f2fe96f0df73f4.png", "anno": "- kube-scheduler\n - NewSchedulerCommand\n - ApplyDefaults\n - command.Execute\n - opts.Complete\n - opts.Validate\n - opts.Run\n - NewSchedulerServer\n - createClients\n - NewBoadcaster\n - NewRecorder\n - makeLeadreElectionConfig\n - makeHealthzServer\n - makeMetricsServer\n - server.Run\n - config\n - disable preemption\n - set priority\n - create priority class\n - assign priority to pod", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d2702f93f1e5d1b39b880d314f730ed1.png", "anno": "- protocol.OFMessage\n - protocol.OFBarrierReply\n - protocol.OFBarrierRequest\n - protocol.OFEchoRequest\n - protocol.OFError\n - protocol.OFFeaturesReply\n - protocol.OFFeaturesRequest\n - protocol.OFFlowMod\n - protocol.OFFlowRemoved\n - protocol.OFGetConfigRequest\n - protocol.OFHello\n - protocol.OFPacketIn\n - protocol.OFPacketOut\n - protocol.OFPortMod\n - protocol.OFPortStatus\n - protocol.OFStatisticsMessageBase\n - protocol.OFSwitchConfig\n - protocol.OFVendor", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7b4d41c44e2a63ec9557d0bd7d3ee039.png", "anno": "- Throwable\n - Error\n - VirtulMachineError\n - StackOverflowError\n - OutOfMemoryError\n - AWTError\n - Exception\n - IOException\n - EOFException\n - FileNotFoundException\n - RuntimeException\n - ArithmeticException\n - MissingResourceException\n - ClassNotFoundException\n - NullPointerException\n - IllegalArgumentException\n - ArrayIndexOutOfBoundsException\n - UnknownTypeException", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/44afccaa87130d9d2475d0f3347a9010.png", "anno": "- sample collection\n - genomic DNA\n - RP-PCR\n - southern blot: large expansions\n - STR sizes\n - HMW genomic DNA\n - ONT library preparation\n - target sequencing:readfish_ONT ReadUntil API\n - base-called:Guppy and filter:mean quality<7\n - alignment:minimap2\n - analyze STR sites:Flye/Racon/Longshot/sniffles\n - summary statistics:Tandem Repeat Finder\n - DNA methylation analysis:F5C call-metheylation\n - Variant calling within PGx regions:Nanopolish", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/3bfdb83d4a2e8c4c7dc7335a4956416f.png", "anno": "- Iterable\n - Collection\n - List\n - ArrayList\n - LinkedList\n - Vector\n - Stack\n - ······\n - Set\n - AbstractSet\n - HashSet\n - TreeSet\n - ······\n - Queue\n - Deque\n - ······", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/be35855346d9150fe53ddf465ff50e7a.png", "anno": "- startup_stm32f10xxx.s\n - $Sub$$main\n - rt_hw_interrupt_disable\n - rtthread_startup\n - rt_hw_interrupt_disable\n - rt_hw_board_init\n - rt_system_heap_init\n - rt_components_board_init\n - rt_console_set_device\n - rt_show_version\n - rt_system_timer_init\n - rt_system_scheduler_init\n - rt_application_init\n - main_thread_entry\n - rt_system_timer_thread_init\n - rt_thread_idle_init\n - rt_thread_idle_entry\n - rt_system_scheduler_start\n - main", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/dc1687cced7a854608d6dd8cabb2bb6d.png", "anno": "- JAVA之IO流\n - 字节流\n - InputStream\n - FileInputStream\n - PipedInputStream\n - ObjectInputStream\n - ByteArrayInputStream\n - SequenceInputStream\n - FilterInputStream\n - BufferedInputStream\n - DigestInputStream\n - DataInputStream\n - OutputStream\n - FileOutputStream\n - PipedOutputStream\n - ObjectOutputStream\n - ByteArrayOutputStream\n - FilterOutputStream\n - BufferedOutputStream\n - DigestOutputStream\n - DataOutputStream\n - PrintStream\n - 字符流\n - Reader\n - InputStreamReader\n - FileReader\n - BufferedReader\n - CharArrayReader\n - FilterReader\n - PipedReader\n - StringReader\n - Writer\n - OutputStreamWriter\n - FileWriter\n - BufferedWriter\n - CharArrayWriter\n - FilterWriter\n - PipedWriter\n - PrintWriter\n - StringWriter", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/da766c3ad19b8315238be7726c90d2bb.png", "anno": "- struct _zend_array\n - zend_refcounted_h gc\n - uint32_t refcount\n - union (anonymous) u\n - uint32_t type_info\n - union (anonymous) u\n - struct (anonymous) v\n - zend_uchar flags\n - zend_uchar _unused\n - zend_uchar nIteratorsCount\n - zend_uchar _unused2\n - uint32_t flags\n - uint32_t nTableMask\n - Bucket * arData\n - zval val\n - zend_ulong h\n - zend_string * key\n - zend_refcounted_h gc\n - zend_ulong h\n - size_t len\n - char [1] val\n - uint32_t nNumUsed\n - uint32_t nNumOfElements\n - uint32_t nTableSize\n - uint32_t nInternalPointer\n - zend_long nNextFreeElement\n - dtor_func_t pDestructor", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7b6816c20baaae64b414a3ba2408bb0d.png", "anno": "- micro-serv-proj\n - common-jar-service\n - auth\n - customer\n - manager\n - dal\n - model\n - common\n - mq-producer\n - rule\n - core\n - client\n - base-service\n - admin-service\n - api-gateway\n - config-repo\n - eureka-service\n - config-service\n - zipkin-service\n - monitor-service\n - business-service\n - business-config\n - merchant\n - customer\n - batch\n - account\n - settle\n - mq\n - sms\n - transaction", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/41105c49f94d35a12a619bd711814e20.png", "anno": "- input_euler_angle_roll_pitch_euler_rate_yaw\n - radians\n - to_euler\n - z\n - euler_accel_limit\n - constrain_float\n - fabsf\n - sinf\n - cosf\n - is_zero\n - z\n - is_negative\n - MIN\n - get_accel_roll_max_radss\n - radians\n - get_accel_pitch_max_radss\n - radians\n - get_accel_yaw_max_radss\n - radians\n - input_shaping_angle\n - wrap_PI\n - input_shaping_ang_vel\n - euler_rate_to_ang_vel\n - ang_vel_limit\n - ang_vel_to_euler_rate\n - from_euler\n - attitude_controller_run quat\n - VIRTUAL", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/5710ff68b30507c769865a170c9a09b1.png", "anno": "- Cloud Architect\n - Sales\n - General Solutions Architect\n - Specialist Solutions Architect\n - Industry Specialist SA\n - Healthcare & Life Sciences\n - Energy\n - Financial Services\n - ...\n - Tech field Specialist SA\n - Computing\n - Storage\n - Machine Learning/AI\n - ...\n - Professional Service\n - Cloud infrastructure Architect\n - Cloud Application Architect\n - Cloud Security Architect", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/555b1de062b48033e438aedffc49356a.png", "anno": "- struct miscdevice\n - int minor\n - const char * name\n - const struct file_operations * fops\n - owner\n - llseek\n - read\n - write\n - poll\n - unlocked_ioctl\n - mmap\n - open\n - release\n - struct list_head list\n - next\n - prev\n - struct device * parent\n - struct device * this_device\n - const char * nodename\n - mode_t mode", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d967943a31795acd8e25439257c4a173.png", "anno": "- Object Detection\n - New Trends\n - Backbone Network\n - Handle dilemma between Classification and Localization\n - Feature reuse and aggregation\n - FPN\n - TDM\n - DSSD\n - RON\n - FSSD\n - RefineDet\n - Toward Real-time\n - YOLO v2\n - Light head\n - SSDLite\n - Others\n - Classic Deep Learning Models\n - Benchmarks\n - Bells and wishles", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/57afad2b9c9d68e81ad6c48ee94295bd.png", "anno": "- GraphicLayer\n - Graphic\n - Geometry\n - Point\n - Polygon\n - Polyline\n - attribute\n - infoTemplate\n - Symbol\n - SimpleLineSymbol\n - SimpleFillSymbol\n - SimpleMarkerSymbol\n - TextSymbol\n - PictureMarkerSymbol", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a0f4999f179346117973ac21a6acba13.png", "anno": "- Collections Framework\n - Collection Interfaces\n - java.util.Collection\n - Set\n - SortedSet\n - NavigableSet\n - Queue\n - BlockingQueue\n - TransferQueue\n - Deque\n - BlockingDeque\n - List\n - java.util.Map\n - SortedMap\n - NavigableMap\n - ConcurrentMap\n - ConcurrentNavigableMap", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/ffba4945d7f586b284c88e40497d4079.png", "anno": "- VOC\n - VOCdevkit\n - VOC2020\n - Annotations（放xml文件）\n - ImageSets\n - Main\n - test.txt\n - train.txt\n - val.txt\n - trainval.txt\n - JPEGImages\n - （放jpg图片）\n - rename.py\n - createText.py\n - voc_annotation.py\n - 2020_trainval.txt\n - 2020_train.txt\n - 2020_test.txt\n - 2020_val.txt", "chart_type": "思维导图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9c55381eb1947ba9512abbfa1cba4f95.png", "anno": "- 分类记忆（3）\n - 房子\n - 椅子\n - 桌子\n - 床\n - 窗口\n - 天空\n - 太阳\n - 月亮\n - 流星\n - 白云\n - 花园\n - 篱笆\n - 大树\n - 水池\n - 玫瑰\n - 海洋\n - 礁石\n - 贝壳\n - 轮船\n - 章鱼", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/5ec5cd2de60b94c1ce5f5363dab81de7.png", "anno": "- 万紫千红总是春\n - 嗅觉\n - 泥土\n - 芳香\n - 春天\n - 气息弥漫\n - 芳香馥郁\n - 花朵\n - 清香\n - 视觉\n - 春雨\n - 根根银丝\n - 如烟如雾\n - 炊烟\n - 袅袅升起\n - 树林\n - 新绿\n - 柳树\n - 柳枝 随风飘落\n - 花苞 吐出叶片\n - 触觉\n - 春风\n - 微风拂面\n - 春天\n - 清凉怡人\n - 听觉\n - 鸟儿\n - 展示歌唱\n - 燕子\n - 唧唧叫\n - 春雨\n - “沙沙！沙沙沙！”\n - 雨声作曲\n - 细雨声", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2b9f672b4579e2bd5d919ea2f2b1dd27.png", "anno": "- \n - 荣誉\n - 教授\n - 顾问\n - 发起人\n - 简介\n - 作家\n - 媒体名星", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/1d40bed03bbf2c79cf43f3dce566d943.png", "anno": "- 野餐\n - 嗅觉\n - 青草香\n - 棉花糖的香甜\n - 触觉\n - 柔软蓬松\n - 味觉\n - 浓郁的香甜味 \n - 听觉\n - 棉花糖机器发出的声音\n - “滋滋滋”\n - 鸟儿的交谈声\n - “叽叽喳喳” \n - 视觉\n - 漂亮的草莓蛋糕\n - 种类丰富的水果\n - 精致小巧的寿司\n - 棉花糖\n - 变成一层层薄纱似的飘出来\n - 裹在细木棒上，越缠越大\n - 雪白又蓬松", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/db7e05305345dbcfe74d8f813d46a485.png", "anno": "- 观日出\n - 嗅觉\n - 清晨空气\n - 芬芳\n - 触觉\n - 晨风\n - 宛如母亲的手\n - 听觉\n - 鸡鸣\n - 断断续续\n - 鸟叫\n - “啾啾”", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a0f25a06dcda65b7c88a089a3d62f2a9.png", "anno": "- 事\n - 事件\n - 要吃年夜饭\n - 经过\n - 前\n - 和面\n - 中\n - 煮面\n - 炒菜\n - 捏边\n - 后\n - 心理活动\n - 结果\n - 吃了一顿圆满的年夜饭\n - 人物\n - 我\n - 妈妈\n - 爸爸\n - 时间\n - 除夕\n - 地点\n - 家", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/80dba04c05fa95e4e07e860865cb92f7.png", "anno": "思维导图1(0,0),(0,0)\n\n- 分类4\n - 木头\n - 花园\n - 篱笆\n - 椅子\n - 桌子\n - 床\n - 窗口\n - 房子\n - 太空\n - 太阳\n - 月亮\n - 流星\n - 空中\n - 天空\n - 白云\n - 水\n - 礁石\n - 轮船\n - 海洋\n - 水池\n - 有生命\n - 玫瑰\n - 大树\n - 章鱼\n - 贝壳", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a3c8d3a9a1c973ed530b1a90d333ace6.png", "anno": "- 分类3\n - 房子\n - 椅子\n - 桌子\n - 床\n - 窗口\n - 花园\n - 篱笆\n - 大树\n - 水池\n - 玫瑰\n - 天空\n - 太阳 \n - 月亮\n - 流星\n - 白云\n - 海洋\n - 礁石\n - 贝壳\n - 轮船\n - 章鱼", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/9cc1266030e6741ffb5bdb80c5b4da2d.png", "anno": "### 借物喻人的？景物\n- 一砖敲开天地宽\n - 联想\n - 用途\n - 盖房\n - 铺地\n - 雕刻\n - ……\n - 来历\n - 取土\n - 和泥\n - 晾晒\n - 烧制\n - 出窑\n - 猜？\n - 玉玺\n - 黄金印\n - 盒子\n - ……\n - 想？\n - 失望\n - 好笑\n - 出乎意料\n - ……\n - 观\n - 形\n - 色\n - 土黄色\n - 大小\n - 长\n - 宽\n - 高\n - 大概\n - 大约\n - 差不多\n - 左右\n - 轻重", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/441b032983f6bb4ccd289b9082e1fc10.png", "anno": "思维导图1(0,0),(0,0)\n\n- 写人篇\n - 看法\n - 结尾\n - 喜欢\n - 敬佩\n - 神态\n - 什么表情\n - 语言\n - 怎么说\n - 兴奋地说\n - 自言自语地说\n - 性格\n - 好\n - 平易近人\n - 和蔼可亲\n - 不好\n - 脾气暴躁\n - 爱哭爱闹\n - 身份\n - 谁\n - 警察\n - 医生\n - 工人\n - 外貌\n - 身高\n - 高大、矮小\n - 长相\n - 浓眉大眼、虎头虎脑\n - 眼睛\n - 明亮、圆溜溜\n - 头发\n - 乌黑发亮、白发苍苍\n - 穿着\n - 穿戴整齐\n - 动作\n - 欢快地跑\n - 大声地朗读", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a44e8ba109f3e9803a7bbcc505e278c8.png", "anno": "- 学习\n - 贵人\n - 蜕变\n - 坚持\n - 计画\n - 开学\n - 书\n - 老师\n - 上课\n - 自信\n - 挫折", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/99e1887927a903964a23ba687bf976fd.png", "anno": "- 年夜饭\n - 结果\n - 高兴\n - 难忘\n - 经过\n - 煮好以后\n - 我狼吞虎咽的吃了起来\n - 有素馅儿、有肉馅儿\n - 起因\n - 看过包好饺子，准备下锅\n - 时间\n - 大年三十\n - 地点\n - 家里\n - 人物\n - 爸爸妈妈\n - 爷爷奶奶\n - 弟弟和我", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/1cdf60fadc99c981cf76d4a81b1522d1.png", "anno": "- 华芝集团\n - 4 华芝云商\n - 资源整合\n - 学习平台\n - 粉丝平台\n - 项目平台\n - 云创平台\n - 人才平台\n - 推广平台\n - 5 德商学院\n - 培养人才", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/dc939b8a5230e81c77ce2361cfe3d094.png", "anno": "### 因果关系\n- 读书笔记\n - 1.浏览书籍\n - 目录\n - 内容主题\n - 结构框架\n - 2.制订计划\n - 定时\n - 定量\n - 3.构建框架\n - 总结目录\n - 概括主题\n - 4.录入信息\n - 关键词\n - 关键图\n - 5.调整分类\n - 主题7个以内\n - 相关主题\n - 发散思维\n - 6.内容细化\n - 逻辑关系\n - 关键词\n - 7.处理杂项\n - 聚焦主题\n - 去除杂项\n - 8.完善内容\n - 结构美化\n - 信息补充", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/9597bb6aa6ac7f815aea7ac45f370d2c.png", "anno": "- 五感法写作\n - 嗅觉\n - 单一的气味\n - 混合的气味\n - 视觉\n - 形状\n - 长方形\n - 田凸不平\n - 颜色\n - 单一色彩\n - 多种色彩\n - 位置\n - 远\n - 近\n - 联系\n - 像什么\n - 月\n - 云\n - 对比\n - 四季景物不\n - 味觉\n - 现实的味道\n - 联想的味道\n - 触觉\n - 触感\n - 温度\n - 湿度\n - 硬度\n - 疼痛感\n - 联系\n - 像什么\n - 老树皮像砂纸\n - 听觉\n - 声音\n - 音调\n - 响度\n - 音色\n - 联系\n - 像什么\n - 对比\n - 自然\n - 想象", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/404b5338f72417499f797b099befa48a.png", "anno": "- 青春时光\n - 他和她\n - 优势互补\n - 异性朋友\n - 异性情感\n - 成长的渴望\n - 飞翔的力量\n - 行己有耻\n - 止于至善\n - 悦纳生理变化\n - 直面矛盾心理\n - 学会独立思考\n - 培养批判精神\n - 开发创造潜力", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/992112a0c8315e8f5c49c8f6bc6b5a3c.png", "anno": "- 感受\n - 可爱\n - 有趣\n - 奇妙\n- 地点\n - 草地上\n- 特征\n - 变化多\n - 大象\n - 鸡腿\n - 小狗\n - 水母\n - 棒棒糖\n - 鸭子\n - 变化快\n - 一眨眼\n - 一瞬间\n - 时而像·····时而像·····\n- 白云\n - 看\n - 颜色\n - 白白的\n - 雪白的\n - 形状\n - 千奇百怪\n - 各种各样\n - 想\n - 棉花糖\n - 软绵绵\n - 咬一口\n - 被子\n - 躺在上\n - 奶油蛋糕\n - 美味", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/0340dc6c3c0fbb440873f7cdede716be.png", "anno": "- 分类3\n - 房子\n - 椅子\n - 桌子\n - 床\n - 窗口\n - 花园\n - 篱笆\n - 大树\n - 水池\n - 玫瑰\n - 天空\n - 太阳\n - 月亮\n - 流星\n - 白云\n - 海洋\n - 礁石\n - 贝壳\n - 轮船\n - 章鱼", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/27b167da9406ff8245b0da869149626e.png", "anno": "- 分类记忆2\n - 陆地\n - 花园\n - 大树\n - 玫瑰\n - 床\n - 篱笆\n - 窗口\n - 水池\n - 房子\n - 椅子\n - 桌子\n - 天空\n - 太阳\n - 月亮\n - 流星\n - 白云\n - 海洋\n - 轮船\n - 贝壳\n - 礁石\n - 章鱼", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/723a9f1db3b43ef2c3e15f4ebc2d02c4.png", "anno": "- 分类2\n - 陆地\n - 花园\n - 大树\n - 玫瑰\n - 床\n - 篱笆\n - 窗口\n - 水池\n - 房子\n - 椅子\n - 桌子\n - 天空\n - 太阳\n - 月亮\n - 流星\n - 白云\n - 海洋\n - 轮船\n - 贝壳\n - 礁石\n - 章鱼", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/60bcbe3a79729045cf7f51dc740e58f0.png", "anno": "### 区分不同主题\n- 让孩子周末更有意义\n - 亲近自然\n - 去植物园\n - 饲养小动物\n - 种植花草\n - ____\n - 安静蜗居\n - 亲子共读\n - 画画\n - 做家务\n - ____\n - 走进社会\n - 逛商场\n - 友情串门\n - 体验农家生活\n - 看剧\n - ____\n - 体育活动\n - 放风筝\n - 玩球 \n - 跳绳 \n - ____", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c3796d34dafc1b4c1428c6a3a5324d24.png", "anno": "- 人称\n - 第一人称\n - I\n - me\n - my\n - myself\n - mine\n - we\n - us\n - our\n - ours\n - own\n - 第二人称\n - you\n - your\n - yours\n - 第三人称\n - he\n - his\n - she\n - her\n - hers\n - it\n - its\n - they\n - their\n - theirs\n - them", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2668badfea4314e905ab7913b70caddc.png", "anno": "- 课程大纲\n - 1基础知识\n - 概述\n - 思维锻炼\n - 制作\n - 2实践运用\n - 3高级运用\n - 4成品", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/367d0d75fae3d6c573f97b08656217a6.png", "anno": "- 黄河\n - 另一个名字\n - 母亲河 \n - 位置\n - 山东\n - 济南\n - 水\n - 黄色\n - 深\n - 2.6\n - 浪\n - 白浪翻滚\n - 多\n - 大\n - 河\n - 马蹄形大拐弯 \n - 宽阔\n - 1500米\n - 长\n - 美丽\n - 径流深度\n - 77毫米", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d77a3ff74f7ff2ca3201163637cb0a39.png", "anno": "- 情感\n - 顽强，让人敬佩\n - 通，却大有用途\n- 特征\n - 颜色\n - 绿色\n - 外形\n - 手掌形\n - 长满尖刺\n - 黄色小花\n - 作用\n - 清热解毒 药用\n - 生长环境\n - 干燥\n - 光充足", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/7bb803454cd1d9803a563e6f3c737b1f.png", "anno": "- 分类记忆（3）\n - 房子\n - 椅子\n - 桌子\n - 床\n - 窗口\n - 天空\n - 太阳\n - 月亮\n - 流星\n - 白云\n - 花园\n - 篱笆\n - 大树\n - 水池\n - 玫瑰\n - 海洋\n - 礁石\n - 贝壳\n - 轮船\n - 章鱼", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/1b521644618beb40e3523dd16e4e9db6.png", "anno": "- 观日出\n - 嗅觉\n - 清晨空气 \n - 芳芳\n - 触觉\n - 晨风\n - 宛如母亲的手\n - 听觉\n - 鸡鸣\n - 断断续续\n - 鸟叫\n - \"啾啾\"\n - 视觉\n - 天空\n - 淡黄色\n - 泛起鱼肚白\n - 红彤彤\n - 蓝\n - 辽阔而明净\n - 大地\n - 广阔\n - 红扑扑\n - 冒出了地平线\n - 太阳\n - 冒出了地平线\n - 跃出了天际\n - 远离了地平线\n - 红光褪去\n - 云朵\n - 白花花\n - 轻舒漫卷", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/7eb06996bf50e587e96aacb00dc2cb31.png", "anno": "- 写景篇（多图）\n - 感受\n - 心情愉悦、轻松、舒畅\n - 自由自在、回味无穷\n - 嗅觉\n - 花草的芬芳\n - 花、百合花\n - 青草\n - 果蔬飘香\n - 桃子、香橙\n - 黄瓜、香菇\n - 视觉\n - 山水\n - 苍翠、高耸的山峰\n - 河流、小溪、湖泊\n - 植物\n - 花\n - 草\n - 树木\n - 动物\n - 小鸟、蝴蝶、蜜蜂\n - 小狗、兔子、小松鼠\n - 鱼儿、蝌蚪、虾\n - 触觉\n - 冷热\n - 冰块、雪花\n - 阳光、温泉\n - 软硬\n - 泥巴、沙滩\n - 岩石\n - 光滑、粗糙\n - 鹅卵石\n - 树干\n - 听觉\n - 大自然的声音\n - 鸟叫声、流水声\n - 风声、雨声\n - 人的声音\n - 笑声、哭声\n - 说话声、读书声\n - 其他声音\n - 汽车的喇叭声\n - 火车、轮船的汽笛声", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/ceaf132e7f15706dc9d9e1d73199f8e2.png", "anno": "- \n - 时间\n - 午后\n - 周末\n - 一天\n - 地点\n - 书房\n - 图书馆\n - 人物\n - 我\n - 李明\n - 事件\n - 看书\n - 神态\n - 津津有味\n - 聚精会神\n - 全神贯注\n - 专心致志\n - 内容\n - 小兔子童话书\n - 小兔子科普书\n - 小兔子历险记\n - 总结\n - 阅读很有趣\n - 书中能够学到很多知识", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/644c612ae9010fd33d1fa3a6512d6e73.png", "anno": "- 时间\n - 春天\n- 看\n - 远景\n - 山\n - 苍翠\n - 连体\n - 村庄\n - 宁静\n - 小河\n - 清澈见底\n - 漂浮着冰块 慢慢解冻\n - 黄鹂、小燕子\n - 飞来飞去\n - 近景\n - 小草\n - 嫩绿\n - 钻出地面\n - 花朵\n - 五颜六色", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2da213edbe8618c0ac722a933c59a286.png", "anno": "- 五感法写作\n - 嗅觉\n - 单一的气味\n - 混合的气味\n - 味觉\n - 现实的味道\n - 酸\n - 甜\n - 苦\n - 咸\n - 鲜\n - 联想的味道\n - 触觉\n - 触感\n - 温度\n - 湿度\n - 硬度\n - 疼痛感\n - 联系\n - 像什么\n - 老树皮像砂纸\n - 视觉\n - 形状\n - 长方形\n - 四凸不平\n - 颜色\n - 单一色彩\n - 多种色彩\n - 位置\n - 远\n - 近\n - 联系\n - 像什么\n - 月亮像小船\n - 云朵像棉花\n - 对比\n - 四季景物不同\n - 听觉\n - 声音\n - 音调\n - 响度\n - 音色\n - 联系\n - 像什么\n - 鸟鸣像乐曲\n - 对比\n - 自然之声\n - 想象之声", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b4257b279db4cfe879eb4338f60af2aa.png", "anno": "- 宾语从句\n - 语序\n - 陈述句语序\n - 连接词+主谓\n - 时态\n - 主现从实\n - 主过从过\n - 客观真理一般现在时\n - 连接词\n - that(可省略)\n - if或whether\n - 有or not时\n - 特殊疑问词5“w”, 1“h”\n - what\n - when\n - where\n - why\n - which\n - how", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/e34d97d3fdce3d3e78a5b2bbda7617f3.png", "anno": "思维导图1(0,0),(0,0)\n\n- 写景篇（单图）\n - 纵向\n - 高处\n - 蓝天、白云\n - 星星、月亮\n - 风筝、飞机\n - 小鸟、蜻蜓\n - 低处\n - 花丛、草地\n - 小船、木桥\n - 池塘、小溪", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a6afe5e786397d8812e90ec50173f9b2.png", "anno": "### ?静物\n- 一砖敲开天地宽\n - 猜？\n - 玉玺\n - 黄金印\n - 盒子\n - ……\n - 想？\n - 失望\n - 好笑\n - 出乎意料\n - ……\n - 观\n - 形\n - 长方体\n - 色\n - 土黄色\n - 大小\n - 长\n - 宽\n - 高\n - 轻重\n - \n - 来历\n - 取土\n - 和泥\n - 晾晒\n - 烧制\n - 出窑\n - \n - 用途\n - 盖房\n - 铺地\n - 雕刻\n - ……\n - 联想\n - ", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/3f2a3f02a80bd9467934194c03b7f57a.png", "anno": "- 关键词\n - what（是什么）\n - why（为什么）\n - when（何时）\n - where（何地）\n - who（谁）\n - how（怎样）\n - much（多少）\n - 文字语言\n - 名词（什么）\n - 动词（如何）\n - 形容词（怎样）\n - 数字语言\n - 数量（精准）\n - 公式语言\n - 字母+符号（表示一种抽象关系）\n - 图示语言\n - 图形、图表（特征直观呈现）", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/bf4f2ab899088068b824dcd8b45be80c.png", "anno": "- 心智圈法基础概念 \n - 大腦脑心智能力 \n - 白板 \n - 定義 \n - 概念 \n - MindMapping vs. MindMap（策略、方法、工具） \n - Mind vs. Thinking（心智vs.思维） \n - 関键字 \n - 語意歧義 \n - 以簡驭繁 \n - 圖解思考 \n - 示 大自然 \n - 的放射性思考 圈法應用） \n - 邏輯分類 \n - BenchM \n - 學習三 \n - 心智圈缘起 \n - 理論 \n - 認", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/bb88f9ab138d5296df66feeb8085860b.png", "anno": "- 看\n - 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____\n - 体育活动", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/61bdc20e0d016ee158330641bd7d312f.png", "anno": "- 太阳\n - 向日葵\n - 菊花\n - 葵花籽\n - fans\n - 朝气蓬勃\n - 小孩子\n - 花朵\n - 棒棒糖\n - 玩具\n - 温暖\n - 周总理\n - 热汤\n - 火堆\n - 能量\n - 月亮\n - 嫦娥\n - 潮汐\n - 李白", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/09da8bd0c758485cfc33d0cdc3bed0e9.png", "anno": "- 写景篇（多图）\n - 觉\n - 视觉\n - 山水\n - 苍翠、高耸的山峰\n - 河流、小溪、湖泊\n - 植物\n - 花\n - 草\n - 树木\n - 动物\n - 小鸟、蝴蝶、蜜蜂\n - 小狗、兔子、小松鼠\n - 鱼儿、蝌蚪、虾\n - 听觉\n - 大自然的声音\n - 鸟叫声、流水声\n - 风声、雨声\n - 人的声音\n - 笑声、哭声\n - 说话声、读书声\n - 其他声音\n - 汽车的喇叭\n - 火车、轮船 汽笛声", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/4818d4ff8627b8f77be0f4e5312db2d0.png", "anno": " - 动作\n - 画画 \n - 一手拿着调色盘\n - 一手拿着画笔\n - 认真\n - 性格\n - 活泼开朗\n - 古灵精怪\n - 衣着\n - 上衣\n - 蓝色短袖\n - 下装\n - 深蓝色短裙\n - 百褶裙\n - 鞋子\n - 棕色圆头 小皮鞋\n - 饰品\n - 红色蝴蝶结 发圈", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/423f281c57fa715b3a0aa1d59bae3ddf.png", "anno": "- 黄山奇石\n - 仙桃石\n - 猴子观海\n - 仙人指路\n - 金鸡叫天都（详写）\n - 仙女弹琴（略写）\n - 狮子抢球\n - 天狗望月", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/149c5b0311af3ddcb189d8f51b0dc294.png", "anno": "大脑银行$ ^{®} $\n- 分类4\n - 木头\n - 花园\n - 篱笆\n - 椅子\n - 桌子\n - 床\n - 窗口\n - 房子\n - 太空\n - 太阳\n - 月亮\n - 流星\n - 空中\n - 天空\n - 白云\n - 有生命\n - 玫瑰\n - 大树\n - 章鱼\n - 贝壳\n - 水\n - 礁石\n - 轮船\n - 海洋\n - 水池", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/0722514169b896da555a92e4414191b2.png", "anno": "- 思维导图的特征\n - 焦点集中\n - 中心图形\n - 主干发散\n - 作为分支\n - 层次分明\n - 重要话题\n - 靠近中心\n - 不重要话题\n - 靠近边缘\n - 节点相连\n - 图形、颜色、代码\n - 便于联想记忆\n - 增大创作可能性", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/779fdecfae37f0734b8348899828857e.png", "anno": "- 洋务运动\n - 背景\n - 第二次鸦片战争后\n - 清朝内外交困\n - 代表人物\n - 中央代表\n - 恭亲王奕欣\n - 文祥\n - 地方代表\n - 曾国藩\n - 李鸿章\n - 张之洞\n - 左宗棠\n - 时间\n - 十九世纪60年代至90年代\n - 目的\n - 学习西方先进技术\n - 维护清朝统治\n - 性质\n - 一场失败的封建统治者的自救运动\n - 洋务派主要活动\n - 前期创办军事工业\n - 安庆内军械所\n - 江南制造总局\n - 福州船政局\n - 后期创办民用工业\n - 李鸿章\n - 上海轮船招商局\n - 张之洞\n - 汉阳铁厂\n - 湖北织布局\n - 筹建三支海军\n - 南洋\n - 北洋\n - 福建\n - 兴办新式学堂\n - 京师同文馆\n - 口号\n - 师夷长技\n - 前期“自强”为口号\n - 后期“求富”为口号\n - 破产标志\n - 甲午中日战争\n - 威海卫战役\n - 北洋舰队全军覆没\n - 失败原因\n - 没有触动封建制度的根基\n - 评价\n - 没有使中国富强起来\n - 引进了西方先进技术\n - 中国出现了近代企业\n - 累计了生产经验\n - 培养了技术力量\n - 客观上为中国民族资本主义的产生和发展起到了促进作用\n - 为中国近代化开辟了道路", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/03ee99c793bd0af6d88e5eec95b243f5.png", "anno": "- 《骆驼祥子》思维导图-读书笔记 制作工具：知犀思维导图\n - 作者及代表作\n - 1 老舍\n - 原名：舒庆春\n - 小说家·文学家·戏剧家\n - 2 长篇小说\n - 《骆驼祥子》\n - 《猫城记》\n - 3 短篇小说\n - 《赶集》\n - 《贫血集》\n - 4 剧本\n - 《茶馆》\n - 《龙须沟》\n - 5 散文集\n - 《福星集》\n - 《老舍散文》\n - 人物关系\n - 祥子\n - 本书男主角\n - 曹先生、曹太太\n - 祥子的雇主\n - 对祥子很好，以社会主义者自居\n - 虎妞\n - 祥子的妻子\n - 暗恋祥子，并用计由其就范，与祥子成婚后，最终难产而死\n - 小福子\n - 与祥子互相爱恋\n - 与祥子互相爱恋，最终因生活所迫被父亲逼迫卖身，最终不堪受辱而自杀，祥子也因此堕落\n - 刘四爷\n - 虎妞的父亲\n - 祥子的老丈人\n - 封建的思想使他忘记了亲情，当虎妞死去，他失去亲情的时候才醒悟，但为时已晚\n - 二强子、老马\n - 祥子的同行\n - 主旨\n - 小说通过旧北京一个人力车夫的悲剧，表达了作者对挣扎在社会低层的劳动人民命运的深切关怀和同情。\n - 揭露了把祥子逼进堕落深渊的黑暗社会，说明了仅靠个人奋斗去摆脱贫穷是行不通的路\n - 祥子的三起三落\n - 一起：来到北平当人力车夫，苦干三年，凑足一百块钱，买了辆新车\n - 一落：连人带车被宪兵抓去当壮丁，理想第一次破灭\n - 二起：卖骆驼，拼命拉车，省吃俭用攒钱准备买新车。\n - 二落：干包月时，祥子辛苦挣的钱也被孙侦探搜去，第二次希望破灭了\n - 三起：虎妞以低价给祥子买了邻居二强子的车，祥子又有车了\n - 三落：为了置办虎妞的丧事，祥子又卖掉了车\n - 经典语录\n - 雨下给富人，也下给穷人，下给义人，也下给不义的人。其实，雨并不公道，因为下落在一个没有公道的世界上\n - 乱世的热闹来自迷信，愚人的安慰只有自欺\n - 经验是生活的肥料，有什么样的经验便变成什么样的人，在沙漠里养不出牡丹来\n - 懒人的思想不能和人格并立，一切可以换作金钱的都早晚必被卖出去\n - 人若是看透了自己，便不会小看别人。", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/ed8f998894405b0c8dc65cf6a9dd1658.png", "anno": "- 如何阅读一本书\n - 阅读概要\n - 阅读效果=主动+技巧\n - 阅读的目标\n - ④\n - 第一个层次：基础阅读\n - 初中生所具备的阅读水平\n - 第二个层次：检视阅读（分析阅读的预备动作）\n - 第一种：有系统的略读（帮助了解全书架构）\n - ⑥\n - 第二种：粗浅的阅读（是了解全书内容的第一步）\n - ①\n - ps：快速阅读\n - ②\n - 第三个层次：分析阅读\n - 第一阶段：整理大纲四规则\n - ㉔\n - 第二阶段：诠释内容四规则\n - ④\n - 第三阶段：评论一本书\n - ②\n - 第四个层次：主题阅读\n - 准备阶段\n - ②\n - 开始主题阅读，步骤：\n - ⑤\n - 做一个自我要求的阅读者\n - 必须提出的问题并解答\n - ⑦\n - 养成做笔记与感想的习惯\n - ①", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/43f023fc7745c83731ddaa73b6bc3bcc.png", "anno": "- 向孔子学做人\n - 内省感恩无往不胜\n - 吾日三省吾身\n - 谦虚是一种美德\n - 小不忍则乱大谋\n - 不患无位，患无所立\n - 学会感恩\n - 宁静致远低调做人\n - 少说多做，低调做人\n - 持之以恒，才能有所作为\n - 要懂得灵活变通\n - 德才兼备\n - 小胜凭智，大胜靠德\n - 攻其恶，无攻人之恶\n - 君子成人之美，不成人之恶\n - 善于学习，等于选择了成功\n - 活到老，学到老\n - 修身养性\n - 非礼勿动，给人留下好印象\n - 近朱者赤，近墨者黑\n - 岁寒，然后知松柏之后凋也\n - 要做所在领域内的专家\n - 做人法则\n - 诚信：言而必有信\n - 孝道：百善孝为先\n - 悔过：知错要悔改\n - 志向：匹夫不可夺志\n - 朋友：把握好友的度\n - 宽容：是一种境界\n - 处世之道\n - 听其言，还要观其行\n - 善变通，不唯我独尊\n - 道不同，不相为谋\n - 和为贵：善用和字来处理各种关系\n - 执中致和：中庸的做人态度\n - 言行之道\n - 流言止于智者\n - 尽量不说大话，说了就要做到\n - 欲速则不达，不要贪图小利\n - 行之以忠\n - 正人先正己\n - 快乐做人快乐生活\n - 像水一样多情，像山一样无忧\n - 黄连为哨，苦中寻乐\n - 改变环境，不如改变自己\n - 快乐在于自己的选择\n - 虑，必有忧", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/ddd969d91491c6cfb0da8ba035ad1e27.png", "anno": "### Unit 5 There is a big bed\n#### ★单元知识导图\n\n- Unit 5 There is a big bed\n - Sound:ai,ay\n - /eɪ/\n - rainy\n - rainbow\n - paint\n - wait\n - rain\n - say\n - way\n - birthday\n - Monday\n - day\n - today\n - Whose\n - my room\n - your room\n - Wu Yifan's...\n - Mr Jones'...\n - My grandma's...\n - What\n - bedroom\n - bed\n - desk\n - clock\n - water bottle\n - photo/picture\n - chair\n - computer\n - living room\n - TV\n - sofa\n - plant\n - table\n - kitchen\n - a plate on the desk\n - fruit\n - vegetable\n - study\n - washroom/bathroom\n - garden\n - flower\n - Where\n - in front of\n - beside\n - between\n - behind\n - above\n - in\n - on\n - under\n - everywhere\n - near\n - How\n - dirty\n - old\n - nice\n - big\n - pretty", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/102e060c9929539271d20824c80e0294.png", "anno": "- 命题点一：Interests and Hobbies\n - 句型\n - I can...I like to...\n - I am in the school music club. I can..., and I can...\n - You're good at...\n - I (don't) like...because...\n - We want to join...\n - My brother is interested in...\n - Linda enjoys...\n - He has many hobbies, like...\n - I prefer...to...\n - My favorite kind of music/movie...\n - When I listen to/watch it, I feel...\n - I think you should listen to/watch it because...\n - 素材\n - Playing a musical instrument\n - when did you learn that\n - did you attend any classes\n - Playing computer games/Surfing the Internet\n - how long do you play every day\n - what game do you play\n - when do you play\n - Watching TV/film/cartoon\n - how long do you watch\n - is watching too much TV good or bad\n - your favorite programme\n - Flying a kite\n - which season do you fly a kite\n - who did you fly a kite with last year\n - can you make a kite by yourself\n - Singing/Dancing\n - do you have singing classes at school\n - where and when do you sing\n - Reading books\n - what kind of book do you like\n - what's the book about", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4dc09b131ccf39fdc519c3061dfb9d83.png", "anno": "- dislike\n - [联]disadvantage\n - [近]shortcoming\n - [近]drawback\n - [近]flaw\n - [近]weakness\n - [根]weak\n - [近]defect\n - [形]perfect\n - [近]ideal\n - [反]real\n - [派]reality\n - [派]really\n - [近]genuine\n - [派]realize\n - [形]affect\n - [派]affection\n - [派]affective\n - [近]influence\n - [派]influential\n - [近]impact\n - [形]effect\n - [派]effective\n - [派]efficient\n - [形]effort\n - [近]endeavour\n - [近]attempt\n - [形]infect\n - [派]infection\n - [反]advantage\n - [近]strength\n - [根]strong\n - [派]strengthen\n - [近]virtue\n - [近]merit\n - [联]disease\n - [根]ease\n - [联]virus\n - [联]cancer\n - [形]cancel\n - [联]disaster\n - [联]earthquake\n - [联]typhoon\n - [联]tsunami\n - [联]snowstorm\n - [联]flood\n - [联]drought\n - [联]famine\n - [联]crisis\n - [联]die\n - [派]death\n - [派]dead\n - [联]survive\n - [派]survival\n - [派]survivor\n - [近]exist\n - [派]existence\n - [派]coexist\n - [联]fortunate\n - [派]fortunate\n - [反]unfortunate\n - [联]destiny\n - [联]fate", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a7e248d8f873af710e076d4da36f1cf6.png", "anno": "### Unit 2 Section B 思维导图\n- Go home for the Spring Festival\n - Feelings\n - happy; enjoyed; laugh;\n - smile on her face; tears in her eyes\n - I\n - 1. ...\n - 2. ...\n - Time and transportation\n - Early in the morning to___\n - Then...\n - Mom\n - 1. \"___\n - 2. \"___\n - 3. Mom...\n - Grandma, my aunt and my uncle\n - Grandma, my aunt and my uncle...\n - My uncle...\n - \"Could you ...?\"\n - Grandma... and asked us,\"...\"\n - Grandpa and my little cousin\n - I saw...\n - Grandpa heped...", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/2005d13ff026134c339476ecbed5662a.png", "anno": "- COOC Project\n - A. Naming the plants in English\n - do a survey\n - surf the Internet\n - …\n - design name cards\n - describe\n - …\n - B. Creating an English corner\n - choose an area\n - decorate(装饰)\n - …\n - make rules\n - take care of things\n - …", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/db0d100053da38cef66241380ddc7051.png", "anno": "- 命题点二：School Rules\n - 句型\n - Mobile phones should not...\n - Teenagers under eighteen must...(are not allowed to...)\n - We should be allowed to...\n - I have to...\n - What should I do...\n - 素材\n - be on time for class\n - on school nights\n - on school days\n - do part-time jobs\n - get ears pierced\n - get on well with others\n - obey the school rules\n - arrive late\n - listen to the teacher\n - do my homework\n - wear school uniforms", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/b811f8f78d0c19eb803a283782f8e138.png", "anno": "- 命题点：Protecting the Environment\n - 素材\n - Sources\n - household waste\n - cars\n - loud music\n - waste water\n - gas from factories \n - Types\n - land pollution\n - air pollution\n - noise pollution\n - water pollution\n - light pollution \n - Behaviors\n - cut down trees\n - hunt animals\n - pour waste water into rivers\n - litter\n - smoke\n - use wooden chopsticks/paper cups/plastic bags/... \n - Measures\n - use public transportation (take the bus/busway/ride a bike)\n - take a bag when shopping\n - grow more trees\n - take a shower\n - turn off the lights\n - protect wild animals\n - use reusable things\n - reuse old things\n - recycle books and paper \n - 句型\n - ...are in danger because...\n - ...used to be...\n - ...is badly polluted.\n - Studies have shown that...\n - We should/shouldn't... (instead of...)\n - ...is getting worse and worse.\n - There are no more...\n - ...should play a part in...\n - We can ride a bike or... \n - Let's...", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/b878983e2a8763c030e980aeda491dd2.png", "anno": "- 命题点二：Interpersonal Communication\n - 句型\n - I believe it is better if children/parents...so that...\n - I can't believe that...\n - I don't really agree with...because...\n - In my opinion, it is important for children/parents to...\n - I still remember...\n - I used to...\n - I look forward to...\n - 素材\n - Communication tools and ways\n - message/information\n - postcard\n - e-mail\n - newspaper\n - telephone/phone mobile phone/cellphone\n - letter\n - television\n - computer \n - online\n - Internet\n - radio\n - tape\n - Communication behaviors and activities\n - care about\n - hear from\n - hang out with friends\n - talk to parents or other...\n - thank you for doing sth.\n - spend time alone\n - praise sb. for(doing)sth.\n - share sth. with sb.\n - communicate with sb.\n - let's do sth.\n - suggest doing sth.\n - talk with/to...\n - keep in touch with...\n - introduce sb. to sb.", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/8d6daa1632ef730ac965fe3607902870.png", "anno": "- morphology\n - morpheme\n - free morpheme\n - \n - stem\n - root\n - lexical morpheme\n - functional morpheme\n - bound morpheme\n - affix\n - preffix\n - suffix\n - infix\n - derivational morpheme\n - inflectional morpheme\n - morphs\n - allomorphs\n - types of word formation\n - 1 compounding\n - 2 derivation\n - 3 conversion\n - 4 backformation\n - 5 clipping\n - 6 blending\n - 7 acronym\n - 8 Initialism", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/21c59e8d16841ad134d50d2bf04d07fb.png", "anno": "- dislike\n - disadvantage\n - advantage\n - dissatisfaction\n - satisfy\n - dispassionate\n - passion\n - passionate\n - disproportionate\n - proportion\n - proportionate\n - disorder\n - order\n - ordinary\n - extraordinary\n - coordination\n - chaos\n - discourage\n - courageous\n - disappear\n - appear\n - apparent\n - missing\n - vanish\n - vanity\n - appoint\n - appointment", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/71c37095cadaf4b22a9489caf58bacda.png", "anno": "- 命题点二：Sports\n - 句型\n - I do exercise...\n - My free time is happy because...\n - John has a lot of good habits. He...\n - ...percent of students do exercise.\n - ...times a week.\n - I play...with my classmates.\n - ...is not easy (difficult) for me.\n - ...is relaxing.\n - I love...\n - 素材\n - Common sports\n - Ball games\n - badminton\n - football/soccer\n - basketball\n - baseball\n - volleyball\n - table tennis/ping-pong\n - golf\n - Other games\n - swimming\n - running\n - cycling\n - horse-riding\n - Types of sports\n - Outdoor sports\n - Places\n - in the stadium\n - on the playground\n - on the beach\n - in a river/lake/mountain\n - Why you prefer\n - breathe in the fresh air\n - be closer to nature\n - enjoy the sunshine/beautiful views\n - have larger space\n - free of charge/much cheaper\n - Indoor sports\n - Places\n - fitness center\n - gym\n - swimming pool\n - Why you prefer\n - better facilities\n - can have a coach\n - even when the weather is bad\n - better environment", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/6fe8d873044b2e106136927296934d55.png", "anno": "- 6. v.动词 The Verb\n - 行为动词\n - Vt.及物动词give,buy...\n - Vi.不及物动词work...\n - 连系动词\n - Be动词am,is,are,was,were\n - 五感动词sound,look,taste,smell,feel\n - 变的get,become,turn,go\n - 其他remain,appear,come,continue,grow,keep,make,prove,seem,stay\n - 助动词do,does,did,done\n - 情态动词can,may,must,might,should,would", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/00847776ba259314bef6688b76534f0f.png", "anno": "- 命题点：School Life\n - 句型\n - My colorful school life is...\n - How time flies! I'm going to graduate from...\n - I'm glad to tell you something about my...\n - I have many...in my middle school life.\n - My school day begins at...\n - I go to school from...to...\n - I have...classes in the morning/afternoon.\n - ...always encourage(s) me to do...\n - My favorite subject is...\n - ...always help(s) me with my...\n - I do well in...\n - I am weak in...\n - With the help of...,I made...progress.\n - My school life is...but...\n - I have a...school life.\n - There are...clubs in my school.\n - I usually play...with...after class.\n - It lasts from...to...\n - The activity will be held on...\n - The match began at...\n - It was a game between...and...\n - We're going to have a...next week.\n - ...was the first to cross the finishing line.\n - The exciting match gave us a lot of...It made us know...\n - In short, we not only learn...but also develop...in our school.\n - 素材\n - School subjects\n - math\n - Chinese\n - English\n - history\n - geography\n - physics\n - music\n - art\n - politics\n - culture\n - ...\n - School activities\n - sport\n - competition\n - race\n - game\n - basketball\n - football/soccer\n - volleyball\n - tennis\n - baseball\n - chess\n - club\n - speech\n - ...\n - School establish-ments\n - playground\n - building\n - library\n - laboratory\n - office\n - classroom\n - desk\n - chair\n - blackboard\n - chalk\n - flag\n - screen", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/af616bb9168ad792d41bf1c184335973.png", "anno": "- 命题点一：Unforgettable Experiences\n - 句型\n - I will always remember the date…\n - This was the luckiest/unluckiest day of my life…\n - When I woke up that day…\n - It was so thankful that…\n - What a lucky/an unlucky day…\n - I am good at/strong in…\n - In my free time, I like to… so I think…\n - I’d be good at this job.\n - I’m really sorry about…\n - To his surprise,…\n - She was worried because…\n - Later that day…\n - I couldn’t believe…\n - Then/After that…\n - Finally… \n - 素材\n - Positive\n - nice\n - proud\n - like to do/doing sth.\n - enjoy doing sth.\n - be excited about sth.\n - comfortable\n - happy/pleased\n - apologize to sb.\n - cheer up\n - patient\n - glad\n - lucky\n - miss\n - Negative\n - shy\n - angry\n - mad\n - have trouble (difficulty) in\n - be worried about\n - be afraid of\n - be angry with\n - be tired of\n - unexpected\n - boring/bored\n - missing\n - lonely\n - sleepy\n - sad\n - regret\n - sorry", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/f6d7b8f929a41a0fe59458695b5f252f.png", "anno": "### Unit 1 What's he like?\n#### ★单元知识导图\n\n- Unit 1 What's he like?\n - Sound:y\n - /i/\n - baby\n - happy\n - windy\n - sunny\n - sorry\n - family\n - candy\n - many\n - party\n - friendly\n - /j/\n - you\n - your\n - yes\n - young\n - yellow\n - /aɪ/\n - shy\n - my\n - fly\n - sky\n - by\n - why\n - Who\n - Who's your...teacher?\n - Mr+姓（先生）\n - Miss+姓（未结婚女士，小姐）\n - Mrs+夫姓（已婚女士，夫人）\n - Ms+（夫）姓（女士）\n - —Who's she? —SHe/He is my/our...\n - English teacher\n - Chinese teacher\n - maths teacher\n - music teacher\n - PE teacher\n - art teacher\n - science teacher\n - What\n - —What's she/he like? —She's/He's...\n - old\n - young\n - funny\n - kind\n - strict\n - polite\n - shy\n - helpful\n - clever\n - hard-working\n - tall\n - short\n - strong\n - fat\n - thin\n - friendly\n - quiet\n - nice\n - pretty\n - beautiful\n - 一般疑问句\n - —Is she/he strict/...? —Yes, she/he is/No, she/he isn't.\n - —Do you know Mr Young/her? —Yes, I do/No, I don't.", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/83ff6d0f8ea3db5786f179f95b423e97.png", "anno": "思维导图1(0,0),(0,0)\n\n- Some facts about superheroes\n - summary\n - have special powers\n - do good things\n - wear special clothes\n - sometimes wear a mask\n - Superman\n - one of the first famous superheroes\n - was published in 1938\n - an alien from Krypton\n - can fly and is super strong\n - Wonder Woman\n - was created in 1941\n - the first female superhero\n - comes from ancient Greek myths\n - has some superhuman powers\n - is good at fighting\n - has lots of weapons", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/34028e7c0b12b51c1b96bd6f63eec5d0.png", "anno": "- dislike\n - [近]hate\n - [近]resent\n - [根]like\n - [派]unlike\n - [派]alike\n - [派]likewise\n - [近]possible [派] likely\n - [近]chance\n - [派] possibility\n - [近] opportunity\n - [联] challenge\n - [派]possibly\n - [近]probable\n - [反] impossible\n - [联] potential\n - [联]discount\n - [联] coupon\n - [根] count\n - [派] countless\n - [派] countable\n - [派] counter \n - [形] encounter\n - [近] confront\n - [派] account\n - [派] accounting\n - [派] accountant\n - [派] accountable\n - [联] cashier\n - [联] deposit\n - [联] credit\n - [联] withdrawal\n - [联]disappoint\n - [派] disappointment\n - [派] disappointing\n - [派] disappointed\n - [联] despair\n - [联] desperate\n - [根] appoint\n - [派] appointment\n - [联]disappear\n - [近] vanish\n - [根] appear\n - [派] appearance\n - [联] surface", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/885765e2ffa5f02123b8231422ce6a47.png", "anno": "- Tips for your garage sale\n - a garage sale\n - a great way to reduce the amount of things\n - a two-day garage sale\n - tips\n - Most yard sales start early in the morning.\n - Check the local weather forecast.\n - Be careful about scheduling your sale.\n - some streets and neighbourhoods\n - Avoid holding a sale.\n - road construction along the main route", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ca7be70eae2637c7b638c67254bdaec5.png", "anno": "- 命题点：Introducing a Place\n - 句型\n - …is my favorite place in my neighborhood.\n - I’d like to invite you to…for a visit.\n - …lies in…\n - …is famous/known for…\n - It is on the left, next to...\n - Behind/In front of... we have/there is...\n - ...is the best because...\n - Turn to the left, you will see...\n - The best supermarket is on...\n - You can buy... there.\n - Opposite to the...stands... \n - The door on your left leads to...\n - With the development of society...has been greatly changed.\n - I hope...will become better and better in the future.\n - It is very convenient for…to come to…\n - The best way to…is…\n - 素材\n - Area\n - the size of…\n - has/covers an area of…\n - with an area of… \n - ...\n - Location\n - be located in/lies in...\n - in(the) front of/in the back of/behind/...\n - here/there\n - next to/close to/near\n - opposite /across from\n - between...and... \n - Surroundings\n - restaurant\n - bank/park\n - hotel/supermarket\n - hospital\n - on the west of the lake\n - surrounded by mountains on three sides\n - face a clear river\n - Population\n - a small / large population of...\n - ...increasing year by year\n - crowded\n - ...\n - History\n - has a history of...\n - date back to\n - Tang/Song/...dynasty\n - Transportation\n - convenient\n - take a bus/by car/by plane", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/62bf06de748f984d23f3446683b6bdb6.png", "anno": "### Unit 6: How do you feel?\n#### ⭐️单元知识导图\n- Unit 6: How do you feel?\n - How do you feel?\n - What's wrong?\n - happy\n - sad\n - afraid\n - worried\n - ill\n - cold\n - What should I/he/she do?\n - Don't be sad.\n - Be happy!\n - Don't be afraid/worried.\n - I can help you.\n - see a doctor\n - do more exercise\n - wear warm clothes", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/77a21a8e4ea13f41932a9648f64b568e.png", "anno": "- industrialize\n - scrutinize\n - scrutiny\n - conmervialize\n - comnmercial\n - commeres\n - globalize\n - global\n - werkhwide\n - globalization\n - modernize\n - modern\n - modernization\n - outdated\n - ancient\n - update\n - renew\n - civilization\n - civilize\n - civil\n - civilization\n - memorize\n - stabilize\n - stable\n - stability\n - unstable\n - sympathy\n - sympathy\n - upsympathy\n - summarize\n - industry\n - industrial\n - realize\n - realistic\n - popularize\n - popular\n - common\n - prevalent\n - prevail\n - widespread\n - spread\n - utilize/ise\n - specialize\n - special\n - species\n - specific\n - particular\n - criticize\n - critic\n - critical\n - criticism\n - critique\n - prioritize\n - prior\n - priority\n - standardize\n - standard\n - stabilize\n - stable\n - stability", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a4207d0d9ec2b79f558c056f9729df25.png", "anno": "- 命题点三：Plans and Arrangements\n - 句型\n - I'll go to the video store if...\n - There is an English test ...\n - Tomorrow, I am going to...\n - I want to be... when I grow up.\n - I always dream of...\n - I plan to go to... with...\n - We are going to...\n - I expect to...\n - 素材\n - Arrangements\n - organize\n - purpose\n - report\n - arrange\n - divide... into\n - agree to do sth.\n - pay attention to\n - take part in\n - Plans\n - want to do sth.\n - wish to do sth.\n - look forward to doing sth.\n - dream of/about doing sth.\n - hope to do sth.\n - expect to do sth.\n - on holiday/vacation\n - plan to do sth.\n - be about to do sth.\n - get ready to do sth.", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9851f76614fcacbdf746467b189dd6de.png", "anno": "### Unit 2 My week\n#### ★单元知识导图\n\n- Unit 2 My week\n - Sounds:ee;ea\n - /i:/\n - feet\n - beef\n - meet\n - bee\n - see\n - feed\n - /i:/\n - eat\n - read\n - tea\n - repeat\n - teach\n - 一般疑问句\n - —Do you often wash your clothes/...on the weekend? —Yes, I do./No, I don't.\n - —Does she/he often play football/...? —Yes, she/he does./No, she/he doesn't.\n - —What day is it today? —It's...\n - Monday\n - Tuesday\n - Wednesday\n - Thursday\n - Friday\n - Saturday\n - Sunday(the first day of the week)\n - weekend\n - —What do you have on Mondays? —I have...\n - English\n - Chinese\n - maths\n - science\n - art\n - music\n - a computer class\n - a cooking class\n - —What do you often do on Mondays/...? —I...\n - wash my clothes\n - watch TV\n - do homework\n - read books\n - play football\n - clean my room\n - play the pipa\n - draw pictures\n - sleep\n - listen to music\n - play ping-pong\n - play sports\n - do kung fu", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/e9a59f18a531fa1076c1b248ec9e69f7.png", "anno": "- 命题点：How to Introduce Things\n - 句型\n - These/Those are my...\n - A/Some...is/are in...\n - There is/are (a)...in/on/...\n - I've had...since.../for...\n - My favorite...is...\n - 's special to me because...\n - ..was/were first used by...\n - ...is made of/from...\n - ...is made in...\n - .is famous/known for/as...\n - ...is produced in...\n - ...is grown in...\n - ..has been around for...\n - People/They will...\n - he future, there will be...\n - ...will be...\n - ..was invented in/by...\n - ...is used in/for...\n - 素材\n - Production site\n - in China/America/...\n - at home\n - in the lab (laboratory)\n - in the factory\n - Description\n - large\n - small\n - beautiful\n - square\n - round\n - rectangle（长方形）\n - triangle（三角形）\n - oval（椭圆形）\n - thick\n - thin\n - long\n - short\n - white\n - black\n - yellow\n - red\n - green\n - blue\n - brown\n - grey\n - orange\n - new\n - old\n - strange\n - special\n - Material\n - cotton\n - wool\n - silk\n - wood\n - iron\n - steel\n - glass\n - plastic\n - paper\n - Production method\n - by hand\n - by machine", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/2646867690ed9343bb1730921fbfd03a.png", "anno": "- 命题点三：How to Behave Properly in China\n - 句型\n - You're supposed/not supposed to…\n - It's polite/impolite to…\n - You should/shouldn't…\n - …\n - 素材\n - polite\n - clean your room every day\n - go to school on time\n - tell your host family before you go out\n - eat after the olds\n - …\n - impolite\n - arrive late\n - point at anyone with your chopsticks\n - …", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/dcb72f6f589efed7c37fd05039f5d0f9.png", "anno": "### Unit 3 What would you like?\n#### ★ 单元知识导图\n\n- Unit 3 What would you like?\n - Sound:ow\n - /əʊ/\n - slow\n - snow\n - yellow\n - window\n - tomorrow\n - /aʊ/\n - cow\n - flower\n - wow\n - down\n - how\n - It's...\n - fresh\n - healthy\n - delicious/yummy\n - hot\n - sweet\n - favorite food\n - What’s your/her/his favourite food/drink/…?\n - Ice cream./Noodles/…\n - It’s/They’re sweet/delicious… \n - drink\n - What would you like to drink?\n - I'd like some... \n - water\n - orange juice\n - tea\n - milk\n - coffee\n - food\n - What would you like to eat?\n - I’d like some…\n - Chinese food\n - noodles/beef noodles\n - rice\n - chicken\n - fish\n - dumplings\n - mooncakes\n - western food\n - salad\n - hamburgers\n - sandwiches\n - bread\n - fruit\n - apples\n - bananas\n - pears\n - strawberries\n - watermelons\n - grapes\n - peaches\n - vegetables\n - carrots\n - onions\n - peas\n - beans\n - cabbage\n - potatoes\n - tomatoes", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/5a6a7775090f1df3983cbfe6a2935574.png", "anno": "### Chapter 3 Morphology\n\n- Chapter 3 Morphology\n - Morphology\n - 语素Morpheme\n - 自由语素Free morphemes\n - 粘着语素Bound morphemes\n - 语素变体Morphs\n - Types of word formation\n - 1) 复合法Compounding\n - 2) 派生法Derivation\n - 3) 转换法Conversion\n - 4) 逆序造词法Backformation\n - 5) 截断法Clipping\n - 6) 混成法Blending\n - 7) 普字母缩写法Acronym\n - 8) 普字母缩写法Initiation", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4125863afa98d4ddbe439cb3d93e5e30.png", "anno": "### Unit 6 In a nature park\n#### 单元知识导图\n- Unit 6 In a nature park\n - What\n - What's in the nature park?\n - forest\n - mountain\n - hill\n - river\n - lake\n - tree\n - house\n - village\n - bridge\n - building\n - Activities\n - go boating\n - read books\n - take a picture\n - —Is there a...in...?\n —Yes,there is./No,there isn't.\n - forest\n - tree\n - flower\n - animal\n - hill\n - river\n - lake\n - fish\n - boat\n - duck\n - bridge\n - —Are there any...in/on...?\n —Yes,there are./No,there aren't.\n - trees\n - houses\n - buildings\n - mountains\n - villages\n - Where\n - —Where is the village?\n —It's...the mountain/...\n - in front of\n - behind\n - on\n - in\n - between\n - How\n - quiet\n - big\n - beautiful\n - small\n - nice\n - Sound:ou/au/\n - house\n - mouse\n - sound\n - count\n - about\n - around\n - mouth", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/0e21cadb40bf834c78eaf8a236706b64.png", "anno": "### ① look,see,watch与notice\n- 看\n - look\n - 强调“看”的动作，是集中注意力、有意识的行为\n - Look! The bus is coming. \n 看！公共汽车来了。\n - see\n - “看见，看到”，强调“看”的结果\n - Can you see the UFO in the sky? \n 你能看到天空中的不明飞行物吗？\n - watch\n - “观看”，强调“专注地看”，含有欣赏的意味，多指看比赛、电视节目等\n - Do you often watch this TV program? \n 你经常看这个电视节目吗？\n - notice\n - “注意到；注意”，常指无意的行为\n - He passed by me without noticing me. \n 他从我身边经过，但没有注意到我。", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1562d4be19d4a9c118f759721a991539.png", "anno": "思维导图1(0,0),(0,0)\n\n- Canada's new national bird\n - introduction\n - The gray jay should be the national bird.\n - voting process\n - started a project\n - voted for the bird\n - announced the result\n - reasons\n - geographically\n - be found everywhere\n - live in boreal and mountain forests\n - remain all year round\n - beneficially\n - helped lost hunters find ways\n - accompanied early European explorers\n - follow hikers along trails\n - different opinions and reasons\n - conclusion\n - The gray jay deserves it.", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ba4f58ddfc7e67d4c6cd700d64db4f6e.png", "anno": "思维导图1(0,0),(0,0)\n\n- Unit 4 What can you do?\n - 一般疑问句：Can+人称代词+动词原形+…? → \n —Can you play football?\n —Yes, I can./No, I can't.\n - Sound:oo\n - /ʊ/\n - book\n - look\n - good\n - football\n - cook\n - /uː/\n - balloon\n - food\n - zoo\n - noodles\n - school\n - afternoon\n - cool\n - room\n - too\n - Who → can+动词原形\n - I\n - You\n - She/He/It\n - We\n - They\n - When\n - next Tuesday\n - next month\n - next year\n - What\n - dance\n - sing English/Chinese songs\n - do kung fu\n - draw pictures/cartoons\n - musical instruments\n - play the pipa\n - play the piano\n - play the erhu\n - play the drums\n - play the violin\n - play the guitar\n - balls\n - play football\n - play basketball\n - play ping-pong\n - swim\n - speak English/Chinese\n - cook\n - make a puppet/robot/…", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/cc433b6dca0d4c58149e620eae6c0fd2.png", "anno": "思维导图1(0,0),(0,0)\n\n- Internet\n - It is very useful.\n - find and exchange information easily\n - talk with friends\n - play games\n - It is not everything.\n - cannot do all the things\n - bad for eyes and health", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/496ebdc5ba3d26e6adf90785832aad1d.png", "anno": "- 命题点一：Self-introduction\n - 句型\n - My name is...\n - I'm very ...to introduce myself to you all.\n - I am ...years old.\n - I was born in...\n - I have...eyes and ... nose/mouth.\n - I am..., and I have ...hair.\n - I have a...family. There are... people in my family.\n - My father is a...and my mother is a...\n - I am interested in...\n - I love/like...in my free time.\n - I'm much...and...\n - At the age of..., I could...\n - I want to be a...when I grow up.\n - From now on, I plan to... to make my dream come true.\n - 素材\n - Individual resume\n - a student\n - live in Kunming\n - 13 years old\n - people in my family\n - …\n - Appearance characteristics\n - fat\n - tall\n - thin\n - short\n - wear glasses\n - slim\n - …\n - Characteristics of personality\n - outgoing\n - shy\n - clever\n - active\n - careless\n - …\n - Personal interest\n - helping others\n - reading\n - doing sports\n - traveling\n - …\n - Wish\n - become a doctor/…\n - help more people\n - study/travel abroad\n - study harder\n - …", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/edffb927d94d48890138abd314f89f0d.png", "anno": "思维导图1(0,0),(0,0)\n- What can I do?\n - 开头：介绍自己\n - Hello, my name is...\n - I am... years old.\n - I'm a student.\n - 中间：具体举例\n - I can sing English songs/draw car play the erhu/play football/...\n - I often draw cartoons/play the v clean the room/... on the weekend\n - I'm good at singing/playing sport\n - I'll play the pipa for the party ne\n - 结尾：总结或询问读者情况\n - I am a helpful boy/girl\n - What about you?/Who\n - Can you do any kung fu", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9daf480358fd57383f6c72ddd6df6eb8.png", "anno": "- 命题点二：Daily Activities\n - 句型\n - I usually exercise from... to...\n - You need to... after eating to have good teeth.\n - I don't have time to...\n - My... are very healthy. They always...\n - I can't stand...\n - I think... are fantastic.\n - I think... are meaningless.\n - ...are very relaxing.\n - He can...with you.\n - My parents usually... in the living room.\n - I had a busy Wednesday/weekend/...\n - On Saturday morning, I... In the afternoon, I...\n - I visited...last week.\n - I went... with my friends.\n - 素材\n - play basketball\n - play soccer\n - take photos\n - go to the theater/movie/cinema\n - go swimming\n - go to the bookstore\n - go hiking\n - get up\n - brush my teeth\n - have a shower\n - eat breakfast\n - do my homework\n - watch TV\n - go to bed\n - clean the house/windows\n - have dinner\n - sweep the floor\n - see a film\n - wash the car\n - cook the meal\n - go shopping\n - stay at home\n - go out with friends\n - fly a kite", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/0aec662c565249a1b1028a686da73acd.png", "anno": "- 命题点二：How to Improve English\n - 句型\n - There are three good ways to...\n - I think you should...\n - If you do this, you will...\n - It is also a good idea to...because...\n - You could try to improve your English by...\n - This will help you (to)...\n - ...\n - 素材\n - read the textbook\n - ask teachers for help\n - study grammar\n - learn some English songs\n - see English films/movies\n - ...", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/203da9de02f15e5b64c92a971634d2f7.png", "anno": "- feed的常用结构\n - feed … to … 把……喂给……吃\n - feed后接饲料或食物名词作宾语，to为介词，其后一般接“喂养”对象\n - Please feed some grass to the sheep. \n 请给羊喂些草。\n - feed … on/with … 用……喂……\n - feed后接表示人或动物的名词作宾语，on后接表示食物或饲料的名词\n - Look, the children are feeding the monkey on/with banana. \n 看，孩子们在用香蕉喂猴子。\n - feed on … 以……为食\n - 其主语主要是动物，也可以是婴儿，宾语通常是表示饲料或食物的名词\n - Sheep feed on grass. \n 绵羊以草为食。", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9a94555356ac76b5500d8e07565b0835.png", "anno": "- exception\n - bad_cast\n - runtime_error\n - overflow_error\n - underflow_error\n - range_error\n - logic_error\n - domain_error\n - invalid_argument\n - out_of_range\n - length_error\n - bad_alloc", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1338a46c222d1d3f835d47372f0d3e42.png", "anno": "- 命题点一：Family Rules\n - 句型\n - You must... and...\n - There are many rules...\n - Parents should (not)...\n - I would like to...\n - I could... if...\n - Chinese parents believe that...\n - I feel... because there are too many rules...\n - Parents and schools are strict, they...\n - 素材\n - make your bed\n - clean your room\n - wash your hands\n - go shopping\n - make a choice\n - cook dinner\n - go to bed on time\n - do housework\n - watch TV", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/bb0cc3a8713a7acd50a925b0697dfb1c.png", "anno": "- 命题点三：Public Rules\n - 句型\n - I do (not) agree with...\n - Don't...\n - There are a lot of things you can (not) do, such as...\n - We have to follow...\n - You'd better (not) do...\n - We hope you can...\n - 素材\n - do not eat or drink\n - take photos\n - turn off\n - in public\n - be patient with\n - jump the queue (插队)\n - follow the traffic rules\n - watch out\n - obey the public rules\n - make a noise\n - stand in line\n - safety comes first", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/8e74d4da86e60e69ab376f63b0f55633.png", "anno": "- 表示地点的介词\n - at: at school; at the airport\n - in: in the garden; in the city countryside; in the east of China\n - on: on the desk; on the north of China(接壤)\n - in: go to school; to the east of China(相距较远或隔海,湖相望)\n - in front of: in front of the front of; in front of the hotel; in the front of the classroom\n - across/through/past: across the bridge; through the window; past my house\n - into/out/out of/out of the room; come out of the room; jump onto the desk; off the wall\n - above/over: above the clouds(在...之上); over the river(垂直正上方)\n- 表示原因的介词\n - because of: He lost his job because of his age\n - thanks to: Thanks to your help, we finished the work in time\n - for: I am really sorry for being late\n - out of: She cried out of sympathy\n - due to/owing to: His illness is due to bad food. Owing to run, the match was cancelled\n - at: She is happy at the good news", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/c925422d0e7e4caac3393a9f8e9081e8.png", "anno": "### Unit 4: I have a pen pal\n#### ☆单元知识导图\n- Unit 4: I have a pen pal\n - What are his/her/your hobbies?\n - I like.../He likes.../She likes...\n - dancing\n - singing\n - reading stories\n - playing football\n - doing kung fu\n - What does he/she do?\n - He/She cooks Chinese food/studies Chinese/does word puzzles/goes hiking.", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/5dc6464d68b4ce1f14a9fd8869bf0685.png", "anno": "- 命题点四：How to Keep Healthy\n - 句型\n - I love fruit. I think it's healthy.\n - For breakfast/lunch/...,I like... but I don't like...\n - I'd like beef noodles/...with carrots/...\n - We have different kinds of fruit ice-cream, like...\n - I think you should/ought to/had better...\n - ...\n - 素材\n - Do more exercise\n - take walks\n - run\n - play soccer\n - play basketball\n - ...\n - Keep a balanced diet\n - Healthy food\n - fruits\n - apple\n - pear\n - banana\n - ...\n - vegetables\n - carrot\n - tomato\n - onion\n - ...\n - Unhealthy food/drink\n - hamburger\n - French fries\n - coke\n - ...", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/cf67273eaea64def2d01138b0016fdde.png", "anno": "1 how often、how soon、how far 与 how long\n- how\n - often\n - —How often do you visit your mother? 你多长时间看你妈妈一次？\n - —Once a week. 一周一次。\n - “多长时间一次或每隔多久”，是就做某事的频率提问\n - soon\n - —How soon will he be back? 他要多久回来？\n - —In an hour. 一小时以后。\n - “多久之后”，侧重某人某事多久能完成\n - far\n - —How far is it from here to the zoo? 从这里到动物园有多远？\n - —It's 6 kilometres. 6千米。\n - “多远”，就路程提问\n - long\n - —How long did he stay here? 他在这儿待了多久？\n - —About two weeks. 大约两个星期。\n - “时间多久或物体多长”，表示时间时侧重指“一段时间”", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/0cfe49737ff8780667a0139659b6f4b0.png", "anno": "- dislike\n - disregard\n - regardless\n - powerless\n - powerful\n - caution\n - cautious\n - warning\n - prudent\n - despite\n - regarding\n - concerning\n - concern\n - neglect\n - select\n - selectivity\n - selective\n - ignore\n - ignorant\n - disgrace\n - discount\n - account\n - accountable\n - counter\n - counteract\n - counterpart\n - counterbalance\n - balance\n - dismiss\n - dismissal\n - remove\n - distrust\n - disapproval\n - approve", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/de18e98701cbccc34019e01a0f41b643.png", "anno": "### 图 1-10\n- Debian\n - Ubuntu\n - Linux Mint\n - Kubuntu\n - Lubuntu\n - KDE Neon\n - LMDE\n - SolydXK\n - SteamOS\n - Raspbian with a very long name\n - Raspmbe => OSMC\n - Raspyfi => Volumio\n - Short Legend", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/51d19f71bc36493d525c4f143a4917a3.png", "anno": "- Ben Franklin\n - b. January 17, 1706\n - Boston, MA, United States\n - Josiah Franklin\n - b. December 23, 1657\n - Ecton, Northamptonshire, England\n - Jane White\n - England\n - Thomas Franklin\n - b. 1598\n - Ecton, Northamptonshire, England\n - Agnes Joanes\n - Ecton, Northamptonshire, England\n - Henry Franckline\n - b. 1573\n - Ecton, Northamptonshire, England\n - Abiah Folger\n - b. August 15, 1667\n - Nantucket, Massachusetts, USA\n - Mary Morrill\n - b. c. 1619\n - England\n - Peter Folger\n - b. 1617\n - Norwich, Norfolk, England\n - John Folger Jr.\n - b. c. 1594\n - Norwich, England\n - Meribah Gibbs\n - England", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/16eafcfae30c6cc128395c95c2c71f2d.png", "anno": "- 命题点一：How to Relax\n - 句型\n - ...is a good way to relax ourselves.\n - We can face the nature by.../...\n - We'll enjoy ourselves if we do that.\n - It makes our body strong/...\n - If so, we can...\n - It's easy for... to relax.\n - ...\n - 素材\n - listen to music\n - play computer games\n - get enough sleep\n - talk to others\n - travel\n - watch a movie\n - play basketball/...\n - do some exercise\n - ...", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/b5ff432eb01ef7f1ed7d2c2f94eec8c2.png", "anno": "- Artificial Intelligence\n - Generalization in 15 years\n - Task automation\n - routine\n - administrative\n - more time to teach\n - Change in the Educational Model\n - Advantage\n - total customization\n - smart tutoring\n - 24h availability\n - training\n - interactive\n - practice\n - detects\n - risks\n - learning problems\n - constant updating of knowledge", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/29735b5d9e13b7d2194d0746679b7c53.png", "anno": "- Artificial Intelligence\n - AI Technologies\n - Machine Learning\n - Supervised Learning\n - Regression\n - Classification\n - Unsupervised Learning\n - Clustering\n - Association Rules\n - Reinforcement Learning\n - Natural Language Processing (NLP)\n - Sentiment Analysis\n - Polarity Analysis\n - Emotion Analysis\n - Part-of-Speech Tagging\n - Named Entity Recognition\n - AI Applications\n - Computer Vision\n - Object Recognition\n - Image Segmentation\n - Robotics\n - Navigation\n - Manipulation\n - Speech Recognition\n - Speaker Verification\n - Speech Synthesis", "chart_type": "思维导图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/868030e946df37ed6a68b19621763d1e.png", "anno": "- 欧姆定律\n - 表达式\n - I=U/R\n - 内容\n - 导体中的电流，跟电压成正比，跟导体电阻成反比\n - 变形公式\n - 计算电压：U=IR\n - 计算电阻：R=U/I\n - 探究电流与电压、电阻的关系\n - 电路图\n - 实验器材\n - 电源、开关、导线、定值电阻、电流表、电压表、滑动变阻器\n - 研究方法\n - 控制变量法\n - 实验结论\n - 在导体电阻一定时，导体中的电流跟导体两端电压成正比\n - 在导体两端电压一定时，导体中的电流跟导体电阻成反比\n - 注意问题\n - 连接电路时，开关应断开\n - 闭合开关前，滑动变阻器滑片应滑至阻值最大处\n - 滑动变阻器的作用\n - 保护电路，防止电路中电流过大\n - 调节定值电阻两端电压\n - 多次测量目的\n - 防止偶然性，找到普遍适用的结论", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a865516b9d21f2daf2879845c689276f.png", "anno": "- 朝花夕拾\n - 阿长与《山海经》\n - 内容概述\n - 1.简介阿长的身份和名字的由来\n - 2.回忆与阿长之间发生的几件事\n - 3.抒发对阿长的感激与怀念 \n - 主要事件\n - 抑扬先抑\n - 抑\n - 饶舌多事\n - 不拘小节\n - 迷信\n - 愚昧无知\n - 扬\n - 善良\n - 淳朴\n - 热情\n - 对“我”的关爱 \n - 人物分析\n - 鲁迅笔下的长妈妈是一位淳朴善良的农村妇女形象，是鲁迅童年中十分具有影响的一部分。她没有文化、愚昧无知，思想也陈旧封建，可她内心却让鲁迅还十分赞扬，尽管自己一字不识，却也艰难地去买《山海经》；她甚至连书名称都记不住，却也只是为了满足小孩子一个无人在意的心愿。因此她是鲁迅童年中最感激的人，同时也是旧社会千千万万劳动妇女的缩影。\n - 藤野先生\n - 主要事件\n - 相识\n - 初到仙台\n - 相处\n - 添改讲义\n - 认真负责\n - 纠正解剖图\n - 要求严格\n - 关心解剖实习\n - 热情诚恳\n - 了解女人裹脚\n - 求实精神 \n - 离别\n - 赠照片\n - 题字惜别\n - 叮嘱 \n - 人物分析\n - 在鲁迅的印象中，藤野先生品德高尚，他为人正直、热忱。最为可贵的是，面对鲁迅他没有丝毫的民族偏见，而更多的是关心，时刻履行着一位认真负责的教师的义务。他不在意别人的看法，而是时时引导着鲁迅。因此，他成为了鲁迅心中人生的导师，他的存在无时不激励着鲁迅的内心，引导着他前进。\n - 五猖会\n - 主要事件\n - 赛会的繁盛\n - 看五猖会前\n - 父亲叫 “我” 背《鉴略》\n - 看五猖会时\n - 五猖会的热闹对 “我” 似乎没有什么大意思\n - 看五猖会后\n - 背《鉴略》的这一段经历明如昨日\n - 中心思想\n - 表现了父亲对儿童心理的无知和父子间的隔，批判了刻板、严酷的封建教育对儿童天性的压制与摧残。\n - 无常\n - 主要内容\n - 对比\n - 讽刺“正人君子” \n - 活无常\n - 有人性、可怖而可爱\n - 死无常（死有份）\n - 全身都是黑的且阴森\n - 人物分析\n - 作者笔下的无常“鬼而人，理而情”，是个十分具有人情味的鬼。因她爽直、公正的形象而深受人们喜爱。与“死有份”形成对比，作者也通过讲述无常因同情死者而放阎王惩罚，巧妙地刻画了现实生活中“人格”不如“鬼格”的人的丑恶面目，辛辣嘲讽打着“公理”“正义”旗号的“正人君子”。\n - 范爱农 \n - 主要事件\n - 1、同乡会争执\n - 留学日本期间\n - 鲁迅\n - 表现 愤怒\n - 范爱农\n - 表现 冷漠、反对\n - 2、酒楼叙旧\n - 辛亥革命前一年\n - 鲁迅\n - 表现 尽释前嫌\n - 范爱农\n - 表现：寒酸、被排挤迫害\n - 3、报馆案风波\n - 辛亥革命爆发\n - 鲁迅\n - 表现 力不从心\n - 范爱农\n - 表现 看到希望→唤醒理想\n - 4、范爱农之死\n - 辛亥革命失败后\n - 鲁迅\n - 表现 悲凉、自责\n - 范爱农\n - 表现 心灰意冷→绝望溺亡\n - 人物分析\n - 鲁迅笔下的范爱农由初见时的冷漠到再相遇时的相知，才知范爱农是个同样对阴暗社会抱有不满的热诚于革命的知识分子，可这样一个外冷内热的人，却偏偏遭受了阴暗社会的无情迫害。以至穷困潦倒，生活飘零，最终在压迫之下走投无路，最终结束凄凉的一生，也使鲁迅对其产生悼念同情无奈。", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/d8ce3d7271557cdbcf9cc5de162f71aa.png", "anno": "- 3 人民当家做主\n - 基本经济制度\n - 公有制为主体，多种所有制经济共同发展\n - 按劳分配为主体，多种分配方式并存\n - 社会主义市场经济体制\n - 根本政治制度\n - 人民代表大会制度\n - 权权、审议、表决\n - 振策、反向\n - 义、对人民负责\n - 受人民监督\n - 基本政治制度\n - 民族区域自治制度\n - 基层群众自治制度\n - 中国共产党领导的多党合作和政治协商制度\n - 国家机构\n - 国家权力机关\n - 全国/地方人民代表大会\n - 中华人民共和国主席\n - 国家行政机关\n - 权利机关的执行机关\n - 国家监察机关\n - 监察委员会\n - 国家司法机关\n - 人民法院\n - 人民检察院\n", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/80a26ba5d8b2b3463ec555c9f448b797.png", "anno": "- 送东阳马生序\n - 对比\n - 个人：勤且艰\n - 求学态度：借书、抄书、跑远路、拜名师、虚心求教。\n - 求学经历：负箧曳屣、足肤皲裂、四肢僵颈、无鲜肥滋味之享、缊袍敝衣\n - 虽愚，卒获有所闻\n - 大学生：条件优越\n - 无冻馁之患\n - 无奔走之劳\n - 无河而不告，求而不得者。\n - 无无书之忧\n - 业有不精，德有不成者。非天质之卑，则心不若余之专耳。\n- 劝学", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/d768fd1dea5a00672d0dba5f9845cf0c.png", "anno": "- 分数乘法\n - 分数混合运算\n - 分数混合运算的顺序和整数混合运算的顺序相同，没有括号的先算乘法，后算加减法，有括号的，先算括号里面的，再算括号外面的。\n - 分数运算定理\n - 乘法交换律：$ a\\times b = b\\times a $\n - 乘法结合律：$ (a\\times b)\\times c=a\\times(b\\times c) $\n - 乘法分配律：$ a\\times(b+c)=ab+ac $\n - 整数乘法的运算定律对于分数乘法也同样适用。\n - 解决问题\n - 求一个数的几分之几是多少\n - 在这里，一个数乘几分之几表示的是求这个数的几分之几是多少。\n - 分数乘整数\n - 意义\n - 表示几个相同分数的简便运算，与整数乘法的意义相同。\n - 计算方法\n - 分子与整数相乘的积作分子，分母不变，能约分的要约分。\n - 数乘分数\n - 意义\n - 一个数乘分数就是求这个数的几分之几是多少。\n - 计算\n - 用分子相乘的积作分子，分母相乘的积作分母，能约分的要约分。\n - 分数与小数\n - 分数化小数\n - 小数化分数\n - 直接约分", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/e8fdebf5dde3e85eb16e685384c0e83d.png", "anno": "- 鲁滨逊漂流记\n - 背景\n - 英国资本主义大规模发展\n - 以塞尔柯克经历为原型\n - 作者作品\n - 丹尼尔・笛福\n - 英国作家\n - 欧洲的“小说之父”\n - 代表作《鲁滨逊漂流记》\n - 长篇小说\n - 人物\n - 鲁滨逊\n - 英国中产阶级家庭\n - 顽强意志力\n - 冒险家\n - 乐观积极，敢于创新\n - 敢于追求自由\n - 主仆\n - 星期五\n - 野人\n - 被鲁滨逊救\n - 知恩图报\n - 忠诚有责任心\n - 适应能力强\n - 内容\n - 首次出海遇难 十九岁\n - 被海盗俘虏\n - 讨好船长\n - 逃到巴西\n - 经营巴西种植园\n - 漂流到“绝望岛”\n - 搭建房屋\n - 驯养山羊\n - 种粮食\n - 制陶器\n - 造木船\n - 绕岛航行\n - 在荒岛劳作生息得以生存\n - 搭救“星期五”\n - 遇见野人\n - 救下“星期五”作为奴隶\n - 智救落难船长\n - 到荒岛第28年\n - 制服反叛水手\n - 回到英国", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a06a50fdde385fd1b56761822e211b65.png", "anno": "思维导图1(0,0),(0,0)\n\n- 第五单元 想象\n - 习作五 \n - 题目\n - 奇妙的想象（故事）\n - 开头（起因）\n - 六要素\n - 人物\n - 时间\n - 地点\n - 环境\n - 天气\n - 事件\n - 中间（经过）\n - 一波三折的情节\n - 动 语言\n - 神态 心理\n - 精彩部分\n - 结尾（结果）\n - 交待结局\n - 点明道理\n - 想象作文创作方法\n - 时空转换\n - 将人物化\n - 将物人化\n - 反向思维\n - 比喻夸张\n - 宇宙的另一边\n - 上学路上\n - 宇宙另一边的我如何上学\n - 课堂上\n - 另一边的神奇课堂\n - 晚上\n - 宇宙另一边秘密\n - 下课了\n - 穿越宇宙\n - 拜访那个“我”\n - 我变成了一棵树\n - 变成了树\n - 变成树真好\n - 长鸟窝\n - 请小动物入住\n - 妈妈也进入鸟窝\n - 变成树不好\n - 发怪声无人理\n - 流口水不被关注", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a16e3b6ed8b4d87f458f32696f55779d.png", "anno": "- 《鲁滨逊漂流记》\n - 主要人物\n - 鲁滨逊\n - 地位：英国文学史上第一个资产阶级的开拓者和殖民主义者的正面形象\n - 性格：富于冒险精神，热爱生活，积极乐观，有恒心有毅力，坚忍顽强，充满智慧\n - 星期五\n - 地位：被殖民者的形象\n - 性格：勤劳勇敢，聪明，忠诚，可爱，知恩图报，向往文明生活，“一个有用的助手”和“一个很好的基督徒”。\n - 作者\n - 笛福 丹尼尔·笛福，英国作家，18世纪英国现实主义小说奠基人，被誉为“英国与欧洲小说之父”", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c7398def2ad70e7e61b81000896f0e0c.png", "anno": "### 邵姜晨 六(1)班.\n\n- 比例 第四单元\n - 比例的意义与基本性质\n - 比例的意义\n - 表示两个比相等的式子\n - 比例各部分名称\n - A.组成比例的四个数叫比例的项\n - B.比例两端的叫外项，中间叫内项.\n - 比列的基本性质\n - 两个外项的积等于两个内项的积\n - 比和比例的联系.区别\n - 解比例\n - 方法：根据比例的基本性质转化为乘法\n - 含义：求比例中的未知项叫解比例\n - 比例的应用\n - 一：比例尺\n - A.意义：一幅图上的距离和实际距离的比，叫作这幅图的比例尺。\n - B.分类\n - ①形式\n - 数值比例尺\n - 线段比例尺\n - ②实际距离是放大或是缩小\n - 缩小比例尺\n - 放大比例尺\n - C.计算\n - 比例尺=图上距离÷实际距离\n - 实际距离=图上距离÷比例尺\n - 图上距离=实际距离×比例尺\n - D.用比例尺画平面图\n - ①.求图上距离\n - ②根距方向和图上距离却定位置。\n - 二：图形的放大与缩小\n - A.特点.把一个图形放大或缩小以后，得到的图形比原来的图形相比，形状相同，大小不同。\n - 三：用比例解决问题\n - A：判断题中的两个量是正比例还是反比例。\n - B.根距正反比例列出式子。\n - C：检验.\n - 面积的变化！\n - A.含义\n - 如果把一个图形按几：1的比放大，放大前与放大后的比为$ n^{2} $：1。\n - B.发现\n - 寻找面积的变化规律，要对放大前后的图形进行比例。\n - 要认真观察.比较数据，才能发现规律", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c1bbbd426b32de85da70b6b08de4aa66.png", "anno": "- 钢铁是怎样炼成的\n - 中心主旨\n - 这是一部带有自传味道的小说，它赞扬了在绝望的命运中仍坚强不屈，向命运挑战的精神，鞭挞了资本主义社会的丑陋，表现出了作者所代表的当时的无产阶级对受压迫命运的抗争精神\n - 作者简介\n - 尼古拉・奥斯特洛夫斯基\n - 代表作：《钢铁是怎样炼成的》《暴风雨所诞生的》\n - 苏联著名无产阶级\n - 题目含义\n - “钢铁”指信念、意志和毅力\n - “烈火和骤冷”中才会炼出钢铁，小说中具体表现为残酷的战争环境、恶劣的自然环境、艰苦的劳动条件及常人难以忍受的病痛\n - 坚强的战士是在同敌人以及各种困难的斗争中成长起来的\n - 主要人物\n - 保尔：顽强，执着，刻苦勇敢，朴实坚强，不为命运所屈服\n - 冬妮娅：纯洁善良，美丽动人，后来变得爱出风头\n - 朱赫来：坚强，沉着冷静，有主见，做事认真负责\n - 丽达：漂亮，机智，做事干练果断，善良，内心坚定\n - 主要内容\n - 本书主要讲述了保尔从一个不懂事的少年到成为一个忠于革命的布尔什维克战士，再到双目失明却坚强不屈创作小说，成为一块“坚硬的钢铁”的故事", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/dd922d2419d9be8224ec0796487a351f.png", "anno": "- 昆虫记\n - 主题\n - 作者将昆虫的多彩生活与自己的人生感悟融为一体，用人性去看待昆虫，字里行间都透露出作者对生命的尊敬与热爱。\n - 作者 \n - 让·亨利·卡西米尔·法布尔\n - 法国\n - 昆虫学家\n - “昆虫界的荷马”\n - 圣甲虫\n - 一身墨黑\n - 食粪虫中个头儿最大\n - 边吃边排泄\n - 萤火虫\n - 雄性\n - 发育完全后长着鞘翅\n - 雌性\n - 终身保持着幼虫的形态\n - 最小的食肉动物\n - 绿蝈蝈\n - 灰蝗虫\n - 大孔雀蝶\n - 小阔条纹蝶\n - 象态橡栗象\n - 豌豆象\n - 金龟甲\n - 松鼠银角金龟\n - 蟋蟀\n - 米诺多蒂菲\n - 隧蜂\n - 螳螂捕食\n - 只吃活食\n - 大腿末端有硬钩\n - 蝉\n - 蝉和蚂蚁的寓言\n - 蚂蚁剥削蝉 厚言无耻地把它洗劫一空\n - 蝉出地洞\n - 圆柱形\n - 最热最干", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/9ea00234116992da2e56ce923296e38e.png", "anno": "### 第八章\n- 化学与可持续发展\n - 自然资源的开发利用\n - 金属矿物的开发利用\n - 海水资源的开发利用\n - 煤、石油和天然气的综合利用\n - 化学品的合理利用\n - 化肥、农药的合理施用\n - 合理用药\n - 安全使用食品添加剂\n - 环境保护与绿色化学\n - 环境保护\n - 绿绝化学", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/5d5b756adb047df24af03209e6eb0561.png", "anno": "- 鲁滨逊\n - 作者\n - 丹尼尔·笛福\n - 背景\n - 英国资本主义大规模发展\n - 以塞尔柯克为原型\n - 作品\n - 日记体长篇小说\n - 作者简介\n - 英国作家\n - 欧洲的“小说之父”\n - 人物\n - 鲁滨逊\n - 有着远大理想\n - 勇敢\n - 向住自由\n - 固执\n - 主仆\n - 星期五\n - 高大威猛\n - 忠诚\n - 适应能力强\n - 出海\n - 十九岁\n - 遇难\n - 被海盗俘虏\n - 讨好海盗\n - 趁机逃\n - 经营果园\n - 再次出海\n - 选择奴隶\n - 落入孤岛\n - 搬运用品\n - 建造住所\n - 打猎\n - 种小麦\n - 做面包\n - 做陶器\n - 环岛行走\n - 救出“星期五”\n - 偶遇野人\n - 救出“星期五”作为自己的仆人\n - 智救船长\n - 救出船长\n - 抓住反贼\n - 回到英国", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/5f6ebdc0d114f9c7793573d71fcce6a8.png", "anno": "鲁漂流滨逊记\n - 梗概\n - 人物简介\n - 鲁滨逊\n - 喜欢航海和冒险\n - 荒岛历险\n - 流落荒岛\n - 建房起居\n - 畜养种植\n - 救“星期五”\n - 回到英国\n - 不畏艰险 机智勇敢\n - 节选\n - 生活状态\n - 优郁寂寞\n - 缺少生活用品\n - 工作吃力\n - 食物缺缸\n - 无人陪伴\n - 困难重重\n - 理性思考\n - 幸与不幸\n - 好处与坏处\n - 知足安命\n - 安排生活\n - 乐观向上\n - 不畏艰险机智勇敢聪明能干积极向上", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/783fccec0423708c1d3bbe97a079e5c9.png", "anno": "- 鲁滨逊漂流记\n - 背景\n - 英国资本主义发展\n - 以赛尔柯克经历为原型\n - 作者\n - 英国作家\n - 欧洲“小说之父”丹尼尔·笛福\n - 作表作《鲁滨逊漂流记》\n - 长篇小说\n - 人物\n - 鲁滨逊\n - 英国中产阶级\n - 意志力顽强\n - 冒险家\n - 乐观\n - 积极创新\n - 追求自由\n - 星期五\n - 野人\n - 被鲁滨孙救\n - 知恩图报\n - 忠诚有责任心\n - 适应能力强", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/9845c506b8f4b8b47107080570a373f9.png", "anno": "### 简爱思维导图\n\n简·爱是一个不甘忍受社会压迫勇于追求个人幸福的女性形象，他的理想和追求已经越越了时空。成为人们心中的灵魂。\n- 浓浓情意。\n - 友情\n - 海伦·彭斯是简爱在伍德慈善学校里最好的朋友，当简·爱受到惩罚，几乎是无法用语言来形容当时的处境，是她用那光芒般的笑容鼓励她，但最终因肺结节死去。\n - 爱情\n - 罗切斯特\n - 是特恩费德庄园主，拥有财富和强健的体魄。年轻时过着无忧无虑的生活。后来认真生活的过程中喜欢上了简爱并对她求婚。不幸被第一任妻子的疯狂放火而失去了一只胳膊和眼睛，最后成为简爱的丈夫。\n - 圣约翰\n - 是简爱的亲堂兄英俊向简爱求婚，但目的是让简爱成为他的助手，后来简爱不同意，一个人去印度传教了。\n - 亲情\n - 戴安娜\n - 简·爱表姐聪明善良，勤劳好学。\n - 玛丽\n - 简·爱的表姐活泼富有乐观的情感。\n - 圣约翰\n - 简爱的表兄英俊帅气。\n - 金钱比亲情更重要。", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/669c9045f3505464b6d795c644193b05.png", "anno": "思维导图1(0,0),(0,0)\n### 第二单元思维导图\n- 成长的时空\n - 幸福和睦的家庭\n - 家的意味\n - 家的意义——居住、港湾、依托、修身之所生活共同体\n - 优良家风\n - 无形的力量\n - 向上向善，家庭幸福和谐\n - 让家更美好——建设美好家庭：体味亲情、关爱、美德、责任\n - 和谐的师生关系\n - 走进老师\n - 教师职业特点——文明延续者、文明的传播\n - 教师的作用——不可替代、引路人\n - 珍惜师生情谊——建设和谐的师生关系的做法\n - 友谊之树常青\n - 友谊的真谛\n - 亲密的关系——心灵的相遇、平等的、双向的\n - 朋友，见证了我们一起走过的成长历程\n - 交友的智慧——真诚和热情、慎重选择、关心和尊重、处理矛盾和冲突讲原则\n - 在集体中成长\n - 集体生活成就我——意义：温暖交往、责任感、共同成长\n - 共建美好集体——做法：共同的愿景、主人翁意识、有序参与与合作与竞争、集体主义原则", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/21beceed402fb9aecac0867231e9009d.png", "anno": "- 数与代数\n - 数式运算\n - 运算的意义\n - 整数运算\n - (+)：加数+加数=和\n - (-)：减数-减数=差\n - (×)：乘数×乘数=积\n - (÷)：除数÷除数=商\n - 小数运算\n - 分数运算\n - 数的应用\n - 式与方程\n - 方程的意义\n - 等式的意义\n - 方程必须满足的条件\n - 方程与等式的关系\n - 等式的性质\n - 解方程的方法\n - 列方程的步骤\n - 比例\n - 比例的意义和基本性质\n - 比例尺\n - 比例的应用\n - 图形放大与缩小\n - 用比例解决问题\n - 正比例\n - 反比\n - 百分数\n - 百分数的意义\n - 百分数的读法和写法\n - 利率，稀率，折扣，成数\n - 百分数与小数分数的互化\n - 小数\n - 小数的意义\n - 小数的位数与计算单位\n - 小数的读写\n - 小数点移动所引起的大小变化\n - 小数分类\n - 整数部分分\n - 纯小数\n - 带小数\n - 小数部分分\n - 无限小数\n - 无限循环小数\n - 无限不循环小数\n - 有限小数\n - 分数\n - 分数的意义\n - 分数的读法与写法\n - 分数与除法的关系\n - 分数的大小比较\n - 分数与小数、百分数的互化\n - 分数基本性质\n - 约分\n - 通分\n - 分数的分类\n - 真分数\n - 假分数互化带分数\n - 正负数\n - 正数 正数的作用\n - 负数 负数的作用\n - 在直线上表示数\n - 整数\n - 整数的位数与计数单位\n - 整数的读法与写法\n - 整数改写和近似数\n - 整数的大小比较\n - 整数的分类\n - 正整数、0\n - 自然数整除\n - 因数\n - 公因数\n - 质数合数\n - 倍数\n - 公倍数\n - 235倍数特征\n - 奇数 偶数", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/807f4ef002247d71ef1d64996542902e.png", "anno": "### 第二章 人体的营养 思维导图\n- 人体的营养\n - 食物中的营养物质\n - 供能物质\n - 蛋白质：主要为个体发育、组织更新提供原料，也可为人体的生命活动提供能量。\n - 糖类：主要为人体的生命活动提供能量，也是构成细胞的一种成分。\n - 脂肪：主要作为备用的能源物质贮存在体内。\n - 非供能物质\n - 维生素：维持人体正常的生命活动。\n - 水：是细胞的主要组成成分之一，参与人体的各种生命活动。\n - 无机盐：构成人体组织。\n - 消化和吸收\n - 结构\n - 消化道：口腔、咽、食道、胃、小肠（消化和吸收的主要器官）、大肠、肛门等\n - 消化腺：唾液腺、胃腺、肝脏、胰腺、肠腺\n - 消化方式：物理性消化、化学性消化\n - 消化场所及物质变化\n - 淀粉：口腔→牙齿的咀嚼、舌头的搅拌、淀粉酶→麦芽糖→芽糖酶小肠→葡萄糖\n - 蛋白质：胃→胃蛋白酶+盐酸→多肽（初步消化）→酶小肠→氨基酸\n - 脂肪：小肠→胆汁的乳化→脂肪微粒→小肠 脂肪酶→甘油+脂肪酸\n - 吸收场所\n - 胃：吸收少量的水、无机盐和酒精。\n - 小肠：主要的吸收器官。\n - 大肠：吸收少量的水、无机盐和部分维生素。\n - 合理营养与食品安全\n - 合理营养：平衡膳食宝塔", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c2190a78b5b0e80801deaff5a25f3883.png", "anno": "### 第一章\n- 人的由来\n - 人类的起源和发展\n - 现代人类猿和人类的共同祖先是森林古猿\n - 从猿到人的进化\n - 森林古猿→环境变化→地面生活→前肢解放→直立行走→使用、制造工具→用火→大脑发达→产生语言→原始社会\n - 人的生殖\n - 生殖系统\n - 男：睾丸——产生精子，分泌雄性激素\n - 女：卵巢——产生卵细胞，分泌雌性激素\n - 受精：精子+卵子→输卵管→受精卵\n - 胚胎发育和营养\n - 受精→受精卵→胚泡→胚胎→胎儿→分娩→婴儿\n - 青春期\n - 身体变化\n - 形态\n - 功能\n - 性发育\n - 男：遗精\n - 女：月经\n - 青春期的心理变化及其卫生\n - 1.正确对待自身出现的身心变化\n - 2.集中精力、努力学习\n - 3.在生理期时注意卫生，进行恰当运动", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/96c49b9e27ad43fca488ab13df9983bd.png", "anno": "### 第二章\n- 人体的营养\n - 食物中的营养物质\n - 供能\n - 糖类\n - 脂肪\n - 蛋白质\n - 非供能\n - 水\n - 无机盐\n - 缺钙：佝偻病，骨质疏松 \n - 缺铁：缺铁性贫血 \n - 缺磷：厌食，骨痛，肌无力 \n - 缺碘：呆小症，甲状腺肿大\n - 维生素\n - 消化和吸收\n - 消化系统：口腔→咽→食道→小肠→大肠→肛门\n - 食物的消化\n - 淀粉→唾液口腔→麦芽糖→肠胰小肠→葡萄糖\n - 蛋白质→胃液胃→多肽→肠胰小肠→氨基酸\n - 脂肪→胆汁小肠→脂肪微粒→肠胰液小肠→甘油脂肪酸\n - 早中晚分别占30%、40%、30%\n - 合理营养与食品安全\n - 合理营养\n - 食品安全 绿色食品——产生良好生态环境，无污染；安全、优质的食品。", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/87d8ef6576ca409084d7980da667c45f.png", "anno": "### 第一单元思维导图\n- 感受自然\n - 草原\n - 蒙古族和汉族人民情愿厚不忍分别，大家站在草原上倾诉惜别之情。\n - 依依惜别图\n - 主客联欢图\n - 喜迎远客图\n - 草原风光图\n - 丁香结\n - 人生中的问题是解不完的，正因为解不完为何不乐观一点呢？\n - 颜色 \n - 紫色，白色\n - 古诗词三首\n - 容建德江[唐]孟浩然\n - 六月二十七日望湖楼醉书[宋]苏轼\n - 西江月夜作黄沙道中[宋]辛弃疾\n - 对故乡的怀念\n - 对美景的喜爱之情\n - 热爱大自然，关心人民生活\n - 花之歌\n - 作者借花自喻表达了自己的理家的追求\n - 乐吧，积极向上\n - 语文要素\n - 从所学的内容想开去\n - 打开想象，身临其境去阅读读体验\n - 由所学的内容联想到自己的生活经历\n - 由此及彼，由课文的内容生相似的联想\n - 习作\n - 变形记\n - 发挥想象，把你的“变形”经历写下来，注意、把重点、详写。", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/9533f3d78b521c0b81d5dc7aa4a1a64e.png", "anno": "### 某地中学中层机构扩张一览图\n\n- 中层机构\n - 教导处\n - 教务处\n - 教务处\n - 教务处\n - 视导室\n - 资助办\n - 科研处\n - 政教处\n - 政教处\n - 安稳办\n - 总务处\n - 总务处\n - 办公室\n - 行政办\n - 党建办", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/5dbd2fdbfb6e18cfdca475d41de0f279.png", "anno": "- 《童年》\n - 人物形象\n - 阿廖沙\n - 善观察\n - 不屈不挠\n - 乐观、自信\n - 外祖母\n - 善良\n - 聪明\n - 外祖父\n - 自私\n - 贪婪\n - 茨冈\n - 乐观\n - 开朗\n - 继父\n - 暴躁\n - 凶狠无赖\n - 作者及作品\n - 马克西姆·高尔基\n - 苏联作家\n - 协会主席\n - 参与俄罗斯主义革命\n - 代表作品\n - 《海燕》\n - 《母亲》\n - 《童年》\n - 《在人间》\n - 《我的大学》\n - 主题思想\n - 折射出19世纪的生活现状\n - 阿廖沙的形象\n - 千万劳动者走向革命\n - 俄国人民走向新生活\n - 启示\n - 磨难的经历\n - 被外祖父打\n - 以捡垃圾为生\n - 如何面对苦难\n - 做一个坚强、正直的人\n - 珍惜现在的生活", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/33558d740676d0d4f674adae5bfad1cb.png", "anno": "- 关于水浒传的那些事儿（施耐庵）\n - 一、人物情节\n - ① 宋江：私自放晁盖 → 怒杀阎婆惜→浔阳楼题反诗→智取无为军 → 三打祝家庄 → 大破连环马 → 三败高太尉 \n - ② 鲁智深：拳打镇关西 → 大闹五台山 → 大闹桃花村 → 火烧瓦罐寺 → 倒拔垂杨柳 → 大闹野猪林 → 单打二龙山 \n - ③ 吴用：智取生辰纲 → 双用连环计 → 使时迁盗甲 → 智赚玉麒麟 \n - ④ 武松：景阳冈打虎 → 斗杀西门庆 → 醉打蒋门神 → 大闹飞云浦 → 血溅鸳鸯楼 → 夜走蜈蚣岭\n - 二、人物绰号\n - 外号\n - ①卢俊义：玉麒麟\n - ②公孙胜：入云龙\n - ③林冲：豹子头\n - ④秦明：霹雳火\n - ⑤花荣：小李广\n - ⑥柴进：小旋风\n - ⑦ 李应：扑天雕 \n - ⑧ 朱仝：美髯公 \n - ⑨ 张清：没羽箭 \n - ⑩ 徐宁：金枪手 \n - ⑪ 戴宗：神行太保 \n - ⑫ 李逵：黑旋风\n - 三、《书》\n - 故事\n - 梁山好汉逼上梁山→集结108将\n - 宋朝招安抗辽\n - 悲剧→消亡\n - 线索→官逼民反\n - 手法\n - 伏笔\n - 对比\n - 艺术特点\n - 广阔的社会生活\n - 人物细节化\n - 鲁迅：“《水浒》的有些地方，是能使读者由说话看出人来的。”\n - 现实主义+浪漫主义\n - 语言明快生动\n - 色彩浓烈\n - 四、评价\n - 反\n - ①鲁迅：“侠”字渐消，强盗起了，但也是侠之流，他们的旗帜是“替天行道”；他们所打却的是平民，不是将相。\n - 正\n - 金圣叹：天下之文章，无有出《水浒传》右者；读书之乐，第一莫若读《水浒传》。不读《水浒传》，不知天下之奇。\n - 胡适：《水浒》在中国文学史占的地位比左传》《史记》还要大得多。", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/ca04a75af9e83e6032b8377ba16311d6.png", "anno": "- 朝花夕拾\n - 主要人物\n - 父亲\n - 严厉\n - 阿长\n - 善良，朴实，迷信\n - 藤野先生\n - 正直，严谨\n - 范爱农\n - 正直\n - 衍太太\n - 自私自利\n - 寿镜吾\n - 博学 方正，质朴\n - 作者 鲁迅\n - 原名：周树人\n - 浙江绍兴人\n - 文学家\n - 思想家\n - ①怀念过去\n - 五猖会\n - 无常\n - 从百草园到三味书屋\n - 父亲的病\n - 琐记\n - ②讽刺与批判\n - 狗·猫·鼠\n - 二十四孝图\n - ③赞美高尚情操\n - 阿长与山海经\n - 藤野先生\n - 范爱农", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/52fd0052f24e2c298a7c6fc6e3f069a0.png", "anno": "- 西游记\n - 唐僧\n - 坚韧不拔\n - 不守纪律我行我素\n - 不怕困难\n - 但有时过于顽劣\n - 诚心向佛\n - 顽固执着\n - 举止文雅\n - 性情和善\n - 佛经造诣极高\n - 嫉恶如仇\n - 猪八戒\n - 好吃懒做\n - 贪财好色\n - 贪生怕死\n - 经常被妖怪的美色所迷\n - 性格温和\n - 难分敌我\n - 厚单纯，有时也有英勇\n - 对师兄的言听计从\n - 对师父忠心耿耿\n - 孙悟空\n - 他精明顽皮，爱作弄\n - 悟空仍有猴性\n - 天能聪敏\n - 思想跟行动都敏捷如风\n - 一身高强的法术\n - 七十二变\n - 有法宝金箍棒\n - 缩小如针\n - 放大如铜棒\n - 筋斗云一驾，就能够上天入地\n - 沙和尚\n - 任劳任怨\n - 忠心不二\n - 心地善良\n - 过于老实 缺乏主见\n - 敦厚朴实\n - 默默无闻\n - 老实忠诚", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/7179f97f337191f73cd08e5f6636fec9.png", "anno": "- 有理数\n - 有理数（整数与分数统称为有理数）\n - 正有理数\n - 0\n - 负有理数\n - 整数\n - 正整数\n - 0\n - 负整数\n - 分数\n - 正分数\n - 负分数\n - 加减\n - 加\n - 异号，取相同符号，把绝对值相加.\n - 同号，取绝对值较大数的符号，并把绝对值相减\n - 同0，仍得这个数.\n - 减\n - 减去一个数等于加上这个数的相反数.\n - 乘除\n - 乘\n - 同号得正，异号得负，并把绝对值相乘\n - 同0，积为0.\n - 除\n - 同号得正，异号得负，并把绝对值相除.\n - 0除非0的数得0\n - 0不能作除数\n - 除以一个数等于乘这个数的倒数.\n - 乘方\n - 求n个相同因数a的运算叫乘方.n叫做指数，a叫做底数，结果叫幂.（$ a^{n} $）\n - 正数的任何次幂，幂都是正数\n - 负数的奇次幂是负数\n - 负数的偶次幂是正数.\n - 数轴\n - 数轴\n - 原点\n - 正方向\n - 单位长度\n - 相反数（和为0）\n - 只有符号不同的两个数\n - 0的相反数是0\n - 绝对值\n - 一个数与原点的距离.\n - a=a (a>0)\n - a=-a (a<0)\n - 0=0", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/3e2c4c856ad64dcca227711815bfa13f.png", "anno": "- 九上政治 第二单元 民主与法治\n - 追求民主价值\n - 生活在民主国家\n - 民主的足音\n - 新型的民主\n - 我国社会主义民主的特点\n - 人民当家做主的民主制度\n - 人民当家做主的民主形式\n - 选举民主\n - 协商民主\n - 我国社会主义民主政治的特有形式与独特优势\n - 社会主义民主政治的本质特征\n - 人民当家做主\n - 参与民主生活\n - 行使民主权利\n - 民主参与\n - 内含\n - 要求\n - 形式\n - 民主选举\n - 民主决策\n - 民主监督\n - 增强民主意识\n - 公民参与民主生活的要求\n - 建设法治中国\n - 夯实法治基石\n - 选择法治道路\n - 法治的意义\n - 法治的要求\n - 良法之治\n - 善治\n - 描绘法治蓝图\n - 我国的法治进程\n - 法治蓝图的要求与内容.\n - 建设法治中国\n - 法治政府\n - 全面建成小康社会的一个重要目标\n - 政府依法行政\n - 核心：规范政府的行政权\n - 人民积极参与.\n - 实行法治\n - 要求：\n - 政府及其工作人员\n - 社会\n - 公民", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/89b4e1d8d2fb97ee70bb20381fc5e16e.png", "anno": "- 《西游记》\n - 故事\n - 三打白骨精\n - 美女\n - 老妇\n - 老翁\n - 降伏妖怪\n - 白骨精\n - 老鼠精\n - 蜘蛛精\n - 琵琶精\n - 反抗精神：大闹天宫\n - 真假美猴王\n - 三借芭蕉扇\n - 猪八戒大战流沙河\n - 人物\n - 唐僧 唐三藏\n - 孙悟空\n - 如意金箍棒 定海神针\n - 七十二变\n - 大闹天宫\n - 佛祖\n - 五行山\n - 猪八戒 九钉耙\n - 沙僧 降妖宝杖", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/10cedcd139675e40406dc9e4b509e0d8.png", "anno": "\n- 俄罗斯\n - 气候\n - ①气候类型：温带气候\n - ②分布\n - ①温带大陆性气候\n - ②（太平洋沿岸）温带季风气候②\n - ③（北冰洋沿岸）寒带气候\n - ④高原山地气候\n - ③特征 冬季寒冷而漫长，夏季温暖而短促\n - ④差异\n - ①气温差异 莫斯科温差大\n - ②降水差异 \n - 地形纬度因素\n - 海陆因素\n - 地形\n - ①类型：以平原高原为主为主\n - ②分布 西部以平原为主东部以平原为主\n - ③地势 （欧洲部分）东高西低，（亚洲部分）南高北低\n - 工业\n - ①特点、基础雄厚、部门齐全\n - ②部门钢铁、煤炭、航天、机械、化学、重工业、核工业\n - ③工业区：圣彼得堡工业区 莫斯科工业区 乌拉尔工业区 新西伯利亚工业区\n - ④分布\n - 工业 大部分分布在东欧平原\n - 自然资源 主要在西 西伯利亚地区\n - 交通\n - ①特点、种类齐全，很发达\n - ②运货类型\n - 客运：铁路 公路\n - 货运：铁路 管道\n - ③分布\n - 东欧：密集\n - 亚洲：铁路\n - 河流\n - 伏尔加河 白北向南注入里海\n - 鄂毕河\n - 叶尼塞河\n - 勒拿河\n - 自北向南 注入北冰洋", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/23e61aa7960d37116ff37f982b72d518.png", "anno": "- 2理解权利义务\n - 公民基本权利\n - 政治权利和自由\n - 人身自由\n - 社会经济权利\n - 文化教育权利\n - 其他权利\n - 依法行使权利\n - 行使权利有界限\n - 维护权利守程序\n - 依法维权的方式\n - 协商\n - 调解\n - 仲裁\n - 诉讼\n - 公民基本义务\n - 遵守宪法法律\n - 维护国家利益\n - 依法纳税、服务\n - 其他义务\n - 依法履行义务\n - 权利与义务的对应关系\n - 相互依存和促进\n - 自觉履行法定义务\n - 法定职责必须为\n - 法无授权不可为", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/382ab7e26513078d1e168addebb3310b.png", "anno": "###《江城子·密州出猎》\n- 江城子·密州出猎\n - 上阙——（记叙）出猎盛况 [狂形，狂举]：牵黄擎苍、千骑卷平冈、倾城相随、自比孙郎\n - 意气风发、威武雄壮、纵情任性\n - 下阙——（言志）报国情怀 [狂态，狂志]：酒酣胸胆、鬓微霜，又何妨、持节云中、弓射天狼\n - 渴望一展抱负、杀敌报国、建功立业\n - 主旨：这首词通过描写一次出猎时的壮观场面，借历史典故抒发了词人企望杀敌报国、建功立业的雄心壮志，并委婉地表达了词人期盼重新得到朝廷重用的愿望。\n- 核心情感：渴望被重用、报效国家、建功立业的爱国情怀", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a15a00a2db1411c09aca408befcede07.png", "anno": "### 字丑勿喷\n- 《铁是怎样炼成的》\n - 作家简介\n - 【苏联】尼古拉·奥斯特洛夫斯基\n - 无产阶级革命家，作家，布尔什维克战士\n - 代表作《钢铁是怎样炼成的》《柯察金的幸福》\n - 人物形象\n - 保尔·柯察金（主人公）\n - 顽强、刻苦、勇敢、奉献、宽容、诚实、坚强、不为命运所屈服\n - 阿尔杰姆·柯察金（保尔哥哥）\n - 爱护弟弟、严肃 具有工人阶级优秀品格\n - 朱赫来（保尔革命引路人）\n - 关心他人遇事沉着、有主见 认真负责、雷厉风行、组织能力强、善解人意\n - 谢廖沙（保尔校友）\n - 调皮、顽强不屈、坚忍、忠厚 老实、具有充沛的革命热情和奉献精神\n - 冬妮娅（保尔的初恋情人）\n - 纯洁善良，美丽动人，与工人阶级思想存在差别\n - 丽达（保尔战友、恋人）\n - 干炼、坚定、机智，心地善良，公私分明\n - 达雅（保尔妻子）\n - 内容简介\n - 线索\n - 保尔·柯察金的成长经历\n - 脉络\n - 国内战争\n - 新经济建设\n - 三段恋情\n - 保尔与冬妮娅\n - 保尔与丽达\n - 保尔与达雅\n - 创作背景\n - 十月革命的胜利、资产阶级约集 国内外反动势力疯狂反扑，妄图把新生的苏维埃政权扼杀在摇篮里。当时，许多布尔什维克在这种困难的局面中，以钢铁般的意志投入到繁重的艰苦的工作。\n - 保尔三段恋情\n - 保尔与丽达\n - 保尔与达雅", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/6e4e9d9128eb275e92ba98df247a1b4e.png", "anno": "- 《朝花夕拾》鲁迅\n - 《狗猫鼠》\n - 不喜欢\n - 对暴虐者的憎恶 对弱小者的同情 对“正人君子”的讽刺\n - 《二十四孝图》\n - 不喜欢\n - 对散布留言的“绅士”做讽刺\n - 揭示封建孝道的虚伪与残酷\n - 《五猖会》\n - 不喜欢\n - 封建思想的不合理\n - 封建教育对儿童天性的摧残\n - 《父亲的病》\n - 不喜欢\n - 对庸医的厌恶\n - 对封建孝道的批判\n - 《范爱农》\n - 不喜欢\n - 封建社会对知识分子的迫害\n - 批判了辛亥革命的不彻底性\n - 对范爱农的怀念\n - 《阿长山海经》\n - 喜欢\n - 对长妈妈的敬爱与怀念\n - 《无常》\n - 喜欢\n - 对无常的喜爱敬仰和赞美\n - 《琐记》\n - 喜欢\n - 冲破封建束缚\n - 追求新知的迫切愿望\n - 《藤野先生》\n - 喜欢\n - 对藤野先生的敬爱 怀念与感激\n - 对国家的热爱\n - 《从百草园到三味书屋》\n - 喜欢\n - 揭露和批判封建封建社会的私教育\n - 对童年美好生活的怀念与留恋", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/59e89e6cb11741d7b8f59c08c6742529.png", "anno": "- 坚持不懈 鲁宾逊漂流记 勇敢\n - 背景\n - 英国资本主义大规模发展\n - 以塞尔柯克经历为原型\n - 作者 丹尼尔·笛福\n - 英国作家\n - 欧洲的“小说之父”\n - 代表作《辛格顿船长》等\n - 人物\n - 鲁宾逊\n - 英国中产阶级\n - 冒险家\n - 乐观积极,勇敢创新\n - 追求自由\n - 主仆\n - 星期五\n - 被鲁宾逊所救\n - 知恩图报\n - 忠诚有责任心\n - 适应能力强\n - 主要事件\n - 流落荒岛——不畏艰险\n - 定居荒岛——智勇双全 乐观向上\n - 脱离荒岛——顽强生存\n - 生存表\n - 搭建房屋→驯养山羊→种粮食→制肉器→造木船→离开海岛→返回故乡", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/7b64fa0246a1feda72be9fa1f6257f85.png", "anno": "- 西游记\n - 孙悟空\n - 悟空三打白骨精\n - 白骨精\n - 火云洞大战红孩儿\n - 红孩儿\n - 车迟国勇斗三魔\n - 虎力大仙\n - 鹿力大仙\n - 羊力大仙\n - 唐僧\n - 悟空三借芭蕉扇\n - 铁扇公主\n - 牛魔王\n - 盘丝洞找蜘蛛精\n - 七只蜘蛛精\n - 狮驼洞战三魔头\n - 老魔\n - 二魔\n - 三魔\n - 沙悟净\n - 女儿国师徒奇遇\n - 蝎子精\n - 真假猴王揽乾坤\n - 六耳猕猴\n - 猪八戒\n - 比丘国施法救婴\n - 玉面狐狸\n - 天竺国收玉兔精\n - 玉兔精", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/0c98458b5b9425b0b5885cfe7801d4d0.png", "anno": "### 鲁滨逊漂流记\n- 鲁滨逊\n - 作者\n - 丹尼尔·笛福\n - 背景\n - 英国资本主义大规模发展\n - 以塞尔柯克为原型\n - 作品\n - 日记体长篇小说\n - 作者简介\n - 英国作家\n - 欧洲的“小说之父”\n - 人物\n - 鲁滨逊\n - 有着远大理想\n - 勇敢\n - 向往自由\n - 固执\n - 主仆\n - 星期五\n - 高大威猛\n - 忠诚\n - 适应能力强\n - 出海\n - 十九岁\n - 遇难\n - 被海盗俘虏\n - 讨好海盗\n - 趁机而逃\n - 经营果园\n - 再次出海\n - 选择奴隶\n - 落入孤岛\n - 搬运用品\n - 搭建住所\n - 打猎\n - 种小麦\n - 做面包\n - 养羊\n - 做陶器\n - 环岛行走\n - 救出“星期五”\n - 偶遇野人\n - 救出“星期五”作为自己的仆人\n - 智救船长\n - 救出船长\n - 抓住反贼\n - 回到英国", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/35ceda8c03a501e75ce0a508eaa26320.png", "anno": "### 鲁滨逊漂流记\n- 鲁滨逊\n - 作者\n - 丹尼尔·笛福\n - 作品\n - 日记体 长篇小说\n - 作者简介\n - 英国作家\n - 英国的“小说之父”\n - 人物\n - 鲁滨逊（主仆）\n - 有着远大理想\n - 勇敢\n - 向往自由\n - 固执\n - 星期五\n - 高大威猛\n - 忠诚\n - 适应力强\n - 出海\n - 十九岁\n - 遇难\n - 被海盗俘虏\n - 讨价还价\n - 趁机而逃\n - 经营果园\n - 再次出游\n - 选择奴隶 \n - 落入孤岛\n - 搬运用品\n - 健造住所\n - 打猎\n - 种小麦\n - 做面包\n - 养羊\n - 做陶器\n - 环岛旅游\n - 救出“星期五”\n - 偶遇野人\n - 让自己做自己的仆人\n - 智救船长\n - 救出船长\n - 抓住反贼\n - 回到英国\n - 班级：四、2班\n - 姓名：詹纳泽", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/302456437915dd3ac4439ccd44549019.png", "anno": "- 网络\n - 个人信息安全\n - 随意扫码\n - 公共场所WIFI使用\n - 快递袋随意丢弃\n - 朋友圈随意晒照片\n - 车票随意丢弃\n - 位置信息泄露\n - 密码安全\n - 且成 数字、大小写字母、特殊字符\n - 隐患\n - 密码过于简单\n - “多网同密”\n - 交友安全\n - 沉溺虚拟交友、脱离现实\n - 网络诈骗\n - 财产安全\n - 电信套路诈骗\n - 恶意APP“钓鱼”\n - 网络游戏大额充值引诱\n - 计算机安全\n - 安装盗版软件\n - 病毒入侵\n - 黑客入侵\n - 国家安全\n - 西北工业大学网络被入侵\n - 使用VPN软件翻墙\n - 如何维护网络安全？ \n - 提高安全意识\n - 不随便点击来路不明的链接\n - 提升网络素养\n - 具备基本网络信息辨别能力\n - 养成守法习惯\n - 不破坏网络空间技术基础", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/01fe379c0e9ba50a722c0d87f0794d37.png", "anno": "第五单元——确定位置\n- 知识点\n - 确定物体位置\n - 根据方向和距离确定物体的位置\n - 画出物体位置\n - 找准观测点，确定物体相对于观测点的方向，根据比例尺求出物体与观测点的距离。\n - 描求简单的行走路线\n - 确定观测点，途述时先说明方向，再说明行驶距离。\n- 做题方法\n - 在精确叙述方向时，通常用南偏东（或西）多少度、北偏东（或西）多少度来表示。一般不使用东南、东北、西北、西南等方位词。\n- 易错点\n - 根据方向和距离确定物体的位置。", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c1336661e1c9cd306b5e7363b22cd932.png", "anno": "### 第一单元 \n- 分数乘法\n - 分数×整数\n - 意义\n - 表示求几个相同分数的和简便运算，与整数乘法的意义相同\n - $ \\frac{2}{15} \\times 4 = \\frac{2 \\times 4}{15} = \\frac{8}{15} $\n - 计算方法\n - 分子与整数相乘的积作分子，分母不变，能约分的要约分\n - $ \\frac{1}{2} \\times 3 = \\frac{1}{6} $\n - 分数乘分数\n - 意义：一个数乘分数就是求这个数的几分之几是多少\n - 计算方法：分子相乘的积作分子，分母相乘的积作分母，能约分的要约分\n - $ 2.4 \\times \\frac{3}{4} = 0.6\\times \\frac{3}{1} = 1.8 $\n - 分数乘小数\n - 分数化小数\n - 小数化分数\n - 直接约分\n - 分数混合运算\n - 分数混合运算的顺序和整数混合运算的顺序相同，没有括号的先算乘法，再算加减法，有括号的，先算括号里面的，再算外面的。\n - 分数运算定律\n - 乘法交换律：$ a \\times b = b \\times a $\n - 乘法结合律：$ (a \\times b) \\times c = a \\times (b \\times c) $\n - 乘法分配律：$ a \\times (b + c) = (a \\times b) + (a \\times c) $\n - 整数乘法的运算定律对于分数乘法也同样适用。\n - 解决问题\n - 求一个数的几分之几是多少\n - 在这里，一个数乘几分之几表示的是求这个数的几分之几是多少。", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/bcceb6f7c82e53d32a34196c7a8785cf.png", "anno": "- 丰富的图形世界\n - 常见的立体图形\n - 圆柱圆锥球\n - 棱柱\n - 棱柱的所有棱长都相等\n - 棱柱上下底面形状相同\n - 侧面是平行\n - 几棱柱\n - （n+2）个面，2n个顶点\n - 欧拉定理\n - F+Y-E=2\n - 图形构成的元素\n - 点\n - 点动成线\n - 线\n - 线动成面\n - 面\n - 面动成体\n - 知识应用（题形）\n - 会画三视图\n - 会找最多最少\n - 表面积\n - 会画截面\n- 展开与折叠\n - 折叠\n - 展开\n - 棱柱展开\n - 正方体\n - 1，4，1\n - 1，3，2\n - 2，2，2\n - 圆柱侧面展开\n - 圆锥表面展开\n- 截一个几何体\n - 截面\n - 形状截面 正方体\n - 三角形\n - 四边形\n - 五边形\n - 六边形\n- 从三个方面看物体的形体\n - 从正面看（主视图）\n - 截到长和高\n - 从左面看（左视图）\n - 宽和高\n - 从上面看（俯视图）\n - 长和宽\n - 题三视图\n - 横看成岭侧成峰，\n - 远近高低各不同。\n - 要使物体真面目，\n - 还需会看三视图。", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/48c452cc96ce3731d2061d609469f3fd.png", "anno": "- 西游记思维导图\n - 主要事情\n - 大闹天宫\n - 三打白骨精\n - 白龙变白马\n - 灭法国杀和尚\n - 真经\n - 主要人物\n - 孙悟空\n - 猪八戒\n - 唐僧\n - 沙僧\n - 观音\n - 如来\n - 五帝\n - 人物特点\n - 孙悟空：本领高强、有七十二变、一个筋斗云能翻十万八千里。\n - 猪八戒：好吃懒做、好色、市侩", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/f159cb8e0c4fb99aebe05c1fd3944a23.png", "anno": "- 第一单元\n - 白鹭① \n - 郭沫若\n - 剧作家\n - 历史学家\n - 《郭沫若全集》\n - 动态美 静态美\n - 波清田独钓\n - 大小适宜\n - 感情\n - 对白鹭的喜爱\n - 与赞美之情\n - 落花生② \n - 许地山\n - 《空山灵雨》\n - 《缀网劳蛛》\n - 道理\n - 人要做有用的人，不要做\n - 讲体面，而对别人没有好处的人\n - 品质\n - 默默无闻\n - 无私奉献\n - 桂花雨③\n - 爱桂花\n - 桂花盛开\n - 香气迷人\n - 摇桂花\n - 使劲摇花\n - 浸润花香\n - 思桂花\n - 他乡赏花\n - 思念故乡\n - 珍珠鸟④\n - 感情\n - 喜爱\n - 赞美\n - 感悟\n - 信赖，往往创\n - 造出美好的境界\n - 冯骥才\n - 《义和拳》\n - 《神灯》", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/ce620def18b1f48254e5d98798413c0f.png", "anno": "- 第七章\n - 重力\n - 定义：由于地球的吸引而使物体受到的力叫做重力，通常用字母G表示。\n - 施力物体：地球，\n - 受力物体：附近的所有物体\n - 方向：竖直向下\n - 作用点：重心\n - 重力\n - ①形状规则、质量均匀，重心不一定在物体上（光盘桶铁杯）\n - ②形状不规则不均匀悬挂法\n - 力\n - 表现形式\n - 推、拉、提、压、打击、排斥、吸引等\n - 力的三要素\n - 力的大小\n - 力的方向\n - 力的作用点\n - 弹力\n - 产生条件\n - ①接触②弹性形变\n - 弹簧测力计原理：在弹性限度内，弹簧受到的拉力越大，弹簧的伸长量就越长", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/d86a81a77653ef64b6e7f5d22f92ec9b.png", "anno": "- 人物情节\n - 林冲\n - 误入白虎堂\n - 风雪山神庙\n - 棒打洪教头\n - 鲁智深\n - 拳打镇关西\n - 倒拔垂杨柳\n - 大闹野猪林\n - 武松\n - 景阳冈打虎\n - 醉打蒋门神\n - 血溅鸳鸯楼\n - 宋江\n - 私放晁天王\n - 怒杀阎婆惜\n - 三打祝家庄\n - 吴用\n - 智取生辰纲\n - 智取大明府\n - 智取文安县", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/8fe9b31074c25720bfaf43369abe6271.png", "anno": "- 几何图形初步\n - 立体图形\n - 常见的立体图形\n - 从不同方向看立体图形\n - 从正面（正视图）\n - 从侧面（侧视图）\n - 从上面（俯视图）\n - 立体图形的平面展开图\n - 平面图形\n - 直线\n - 表示方法\n - 基本实事：两点确定一条直线\n - 射线\n - 表示方法\n - 不可度量，向一方无限延伸\n - 线段\n - 表示方法\n - 比较方法\n - 基本实事：两点之间，线段最短\n - 两点间的距离\n - 线段的中点\n - 等分线段\n - 线段的和、差与画法\n - 角\n - 角的定义\n - 表示方法\n - 用一个大写英文字母表示\n - 用三个大写英文字母表示\n - 用一个小写希腊字母表示\n - 用一个数字表示\n - 角的大小比较\n - 度量法\n - 叠合法\n - 角的度量\n - 余角和补角\n - 同角（等角）的余角相等\n - 同角（等角）的补角相等\n - 构成\n - 点\n - 线与线相交成点\n - 线（点动成线）\n - 面（线动成面）\n - 体（面动成体）", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/be2b00996b1ef14b4553f7d33474fe55.png", "anno": "- 4、比例\n - 图形的放大和缩小\n - 比值小于1，表示图形缩小。比值大于1，表示图形放大。\n - 按几比几放大→放大后:放大前→前项后项\n - 按几比几缩小→缩小后:缩小前→前项后项\n - 体积变化（独自思考）\n - 如果把一个立体图形按n:1的比放大，放大后与放大前立体图形的体积比是$ n^{3}:1 $\n - 比例尺的用法（1）\n - 比例尺1:1000表示图上距离是实际距离的$ \\frac{1}{1000} $。\n - 比例的意义\n - 表示两个比相等的式子叫作比例\n - 面积的变化\n - 如果把一个图形按n:1的比放大，放大后与放大前图形的面积比是$ n^{2}:1 $。\n - 组成比例的四个数，叫作比例的项。两端的两项叫作比例的外项，中间的两项叫作比例的内项。\n - $ a\\times d = b\\times c $在比例里两个外项的积等于两个内项的积\n - 比例尺的用法（2）\n - 比例尺1:1000，表示实际距离是图上距离的1000倍。\n - 根据比例尺，可以知道图上距离1厘米表示实际距离10米\n - 解比例\n - 求比例中的未知项，叫解比例\n - 比例尺\n - 一幅图的图上距离和实际距离的比，叫作这幅图的比例尺\n - 易错\n - 比例尺是一个比（√）注：比例尺是图上距离和实际距离的比", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/36648e15c01d94b07c3fdaf18a40aa14.png", "anno": "- 侵权责任与权利界限\n - 权利保障于法有据\n - 法律保护\n - 侵权责任承担方式\n - 人身健康\n - 人格尊严\n - 财产权\n - 法定时效：三年\n - 侵权责任\n - 过错责任\n - ①民事主体的合法权益受到了损\n - ②行为人主观上存在过错\n - ③因果关系\n - 过错推定责任\n - 无过错侵权责任\n - 意义\n - 权利行使注意界限\n - 权利含义\n - 民事主体行使民事权利的要求\n - 界限\n - ①经营\n - ②新闻\n - ③著作权\n - 相邻关系\n - 必要性\n - 实质\n - 法律规定\n - 意义\n - 如何处理：①②③④正当界限", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/f00e20d8de82559feb40d6e82511376a.png", "anno": "- Unit5: Do you have a soccer ball?\n - 1. Grammar Focus:\n - (1) Do you have a baseball?\n - Yes, I do.\n - No, I don't. I have a volleyball.\n - (2) Do you have a ping-pong ball?\n - Yes, I do.\n - No, I don't. I have a ping-pong ball.\n - (3) Does she have a tennis ball?\n - Yes, she does.\n - No, she doesn't.\n - She has a baseball.\n - (4) Does she have a soccer ball?\n - Yes, he does.\n - No, he doesn't.\n - He has two ping-pong balls.\n - (5) Do they have a basketball?\n - Yes, they do.\n - No, they don't.\n - They have a volleyball.", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9779a7bd26da00c2aed45c339150875d.png", "anno": "- Tuesday, July 16th\n - Weather\n - rained a little\n - rained really hard\n - Activities Feeling\n - decided to go to Pomy Hill\n - decided to take to take the train\n - waited over an hour for the train\n - didn't have an umbrella\n - terrible\n - only had and some\n - great", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/0e4345dc78a02a8542e044d53e41eb93.png", "anno": "- Solution\n - pay to look after them\n - give money to protect them\n - raise money\n - plant more trees\n - protect the environment\n - Stop killing animals\n - Set up nature reserve", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/8ba381c722a735a997e0ecc15a710ba8.png", "anno": "- Reading\n - Tony\n - get to up \n - 8:00\n - don't like get up early\n - go to school\n - 8:30\n - don't have much time for breakfast \n - eat very quickly\n - lunch \n - hamburgers\n - After school\n - play basketball - half an hour\n - get home\n - do home work first\n - either watch TV or play computer games\n - brush teeth and go to bed\n - Unhealthy\n - Mary\n - get up\n - 6:30\n - early\n - take a shower and eat a good breakfast.\n - go to school\n - 8:30\n - Lunch\n - lots of fruit and vegetables\n - 12:00\n - after lunch plays volleyball\n - After dinner\n - eat ice—cream\n - not good for her\n - but is taste good\n - go to bed\n - healthy", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/ce33b29d9defd65bf86610f2851ebcd3.png", "anno": "思维导图1(0,0),(0,0)\n\n- Analytical\n - stage 3 Is it true\n - manners\n - criteria\n - stage 4 What's the importance of it?\n- manner\n - 1) understand before criteria\n - 2) Not disagree\n - 3) facts & opinion\n- criteria\n - uniformed\n - misinformed\n - illogical\n - incomplete", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/53254f0d482a8b22948cc9e17443c8c9.png", "anno": "- rules\n - school rules\n - library rules\n - traffic rules\n - park lules\n - ···\n - class rules", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/4bb45be773a3fbc8fb9571f2cc945a8c.png", "anno": "流程图1(0,0),(0,0)\n\n### A story - The seal\nflowchart TD\n A[\"Emma and Mike\"]\n B[\"go snorkeling\"]\n C[\"ask Dad for help\"]\n D[\"Mr Jones take it\"]\n E[\"an injured baby seal\"]\n F[\"fine again\"]\n\n A --> B\n A --> C\n A --> D\n B --> E\n C --> E\n E --> F", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f58a1197cc29585e1dbd81e64a4dfcba.png", "anno": "- How many+可数 \nHow many+不可数\n - A: How many apples would you like?\n - B: 5, please. \n - A: How much meat do you want?\n - B: Half a kilo please.", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/5fed9e1a94d9b08c6263e50e1125e157.png", "anno": "### 2.21 M10U2 郑雅欣\n- Betty's holiday journey\n - The day before yesterday\n - airport, home\n - paris\n - with Jenney\n - by plane\n - yesterday\n - the Louvre Museum\n - a French restaurant\n - today\n - in the morning street markets\n - took a walk\n - did some shopping\n - bought a present\n - in the afternoon the Eiffel Tower\n - went to the top\n - had to wait in line\n - tomorrow\n - visit a famous palace\n - take a boat Tour on the River Seine", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/526ca249e20c4a3ca940761266a7f62e.png", "anno": "- Tea\n - invent\n - who\n - Shen Nong\n - when\n - about 500 years ago\n - how\n - some tea leaves fell into the boiling water.\n - record\n - who\n - Lu Yu “the saint of tea”\n - How\n - wrote a book called Cha Jing\n - What\n - 1.How tea plants grown and used to make tea\n - 2.Where the finest tea leaves were produced\n - 3.What kinds of water were used\n - spread\n - → Korea and Japan (both and 7th centuries)\n - → England (around 1660)\n - → become the nation drink (before 1760)\n - → the trade from China to Western appeared (19th century)\n - Chinese are the ones who best understand the nature of tea.", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/cd8a329acfb22e970c74b1f684e6d693.png", "anno": "- each:强调个体\n- every:强调整体\n- Section B Unit 1 \n - 短语\n - 描述五官\n - a small mouth\n - a long nose\n - big eyes\n - a round face\n - blonde hair\n - put\n - on\n - down\n - .... in /on\n - really cool and fun\n - an interesting job/a very interesting job.\n - a police artist\n - talk\n - to\n - with\n - about\n - policeman\n - policemen\n - policewoman\n - policewomen\n - tell\n - stories\n - story telling club\n - sb(not) to do sth.\n - each of …\n - in newspapers\n - on TV\n - in the end = finally = at la\n - at the end of\n - a picture of\n - each criminal\n - the same way\n - be good at\n - +n.\n - +v-ing.\n - another woman\n - the real criminal\n - first of all\n - enjoy doing", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/e303b9a023b60f96f4482eeca0daba53.png", "anno": "思维导图1(0,0),(0,0)\n- 27.祝福:\n - Good luck to you!\n - Good luck for the future!\n - Best wishes to you!\n - Wishing you happiness everyday!", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/c87ff02db99adcd7b272782172af5d75.png", "anno": "- Tea\n - invent\n - who — Shen Nong\n - when — about 5000 years ago\n - how — Some tea leaves fell into the boiling water.\n - record\n - who Lu Yu \"the saint of tea\"\n - How wrote a book called Cha Jing\n - What\n - 1. how tea plants grown and used to make tea\n - 2. Where the finest tea leaves were produced\n - 3. What kinds of water were used\n - spread\n - → Korea and Japan (6th and 7th centuries)\n - → England (aroud 1600)\n - → become the nationl drink (before 1760)\n - → the trade from China to Western appeared (19th century)\n - Chinese are the ones who best understand the nature of tea.", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/783374ce6321fc8b796fda46f09d1b88.png", "anno": "- on foot（固定搭配）Let's talk\n - Mike \n - come/go to school\n - by bike\n - by 直接加交通工具，表示“乘……”\n - Amy\n - come to school \n - usually come on foot\n - sometimes come by bus.\n - Mrs Smith\n - come to school\n - usually walk\n - sometimes come by car", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f2ffc6dfc757a33a288bf93322dbe81d.png", "anno": "- The virtual choir\n - Introduction\n - what video on the Internet\n - who anyone\n - where anywhere\n - how record themselves, upload, put together\n - why help, enable, a positive influence\n - Creator (Eric Whitacre)\n - In 1988—began studying music at the University\n - In 1995—graduate from university\n - In 1997—received a master's degree in musical composition\n - In 2007—original compositions began to become quite popular\n - Creation\n - 2009 first virtual choir\n - 2014 the Virtual Youth Choir was first seen on stage\n - Influence\n - wonderful 句总结！\n - make the world a better place", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/5a57338b4a9857ae20c16fca810880cd.png", "anno": "- solutions:\n - grammar\n - I often make mistakes in grammar.\n - ··don't get much writing practice.n.\n - Listening\n - (1)Listening can help.\n - 2)The more you listen, the better your listening skills will be\n - ··can join an English club to practice speaking\n - words\n - ··can always write new words in the notebook and study them at home.\n - Reading\n - read something you enjoy today\n - The more you read, the faster you will be\n - Writing(grammar)\n - review them from time to time\n - find a pen pal to practice writing.", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/3a153d51e6a4a396e3f710ee579f6792.png", "anno": "- Tuesday, uly 16th\n - Weather—raining(bad)\n - activity/feeling\n - In the morning\n - ① went to the penang Hill\n - ② We took the train(bad)\n - ③ We got to the top(terrible)\n - noon—had a bowl of rice and some fish [great]\n - all in all, today was really terrible!", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/e244541a6defe1d29d07cfc5bd0659ee.png", "anno": "- order\n - waiter\n - What would you like?\n - May I take your order?\n - What size would you like?\n - customer\n - I'd like some ...\n - I'd like a ... bowl of ...\n - Is there any ... (Yes/No)\n- Food\n - countable\n - bowls\n - apples\n - carrots\n - oranges\n - strawberries\n - uncountable\n - beef\n - meat\n - milk\n - mutton\n - water\n - both\n - chicken\n - salad\n - ice-cream\n - cabbage\n - any\n - 一般或否定句\n - 可数\n - 不可数\n - some\n - 肯定或得到肯定回答\n - 可数\n - 不可数", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/68b98ceb78feff055caeee42b7f591fb.png", "anno": " - Unit 3 :\n Is this your pencil?\n - Language pairts\n - 3. phrase: ID card, compuber gave a set of keys.\n - 4. New words: 略\n- Unit4:\n - Where's my schoolbag?\n - 1. Grammar Focus:\n - (1) Where's the map? It's in your grandparents' room.\n - (2) Where are my books? They're on the sofa.\n - (3) Where's his pencil box? It's in his schoolbag.\n - (4) Where's your ruler? It's under the chair.\n - (5) Where are their keys? They're on the table.\n - 2. Summary: 介词 in, on, under 的用法\n - 3. Phrases: tape, player, model plane, English book.\n - 4. New words", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/daf274c93e323e5b2fb4f59d9f496f2e.png", "anno": "- Helen\n - was born — in the us — 1880\n - As baby — candnt and see or dear\n - had — teacher\n - lived — eight — seven\n - later — write and speak", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6b2034cb823db953dae06ca81275fa5a.png", "anno": "- Jenis Kebakaran\n - Kelas A\n - *Melibatkan bahan api mudah terbakar jenis pepejal (selain logam)\n - *Cth: kayu, kertas, kain, bahan mudah terbakar)\n - Pemadam\n - *Air\n - *Buih\n - *Serbuk kering\n - Kelas B\n - *Melibatkan cecair mudah terbakar\n - *Cth: petrol, kerosin, diesel, cat, varnis\n - 煤油 漆\n - Pemadam\n - *Buih\n - *Serbuk kering\n - *Karbon dioksida\n - Kelas C\n - *Melibatkan gas\n - *Cth: LPG, LNG, oksigen\n - Pemadam\n - *Serbuk kering\n - *Karbon dioksida\n - Kelas D\n - *Melibatkan logam\n - *Cth: magnesium, aluminium, natrium, kalium\n - Pemadam\n - *Serbuk kering\n - Kelas E\n - *Melibatkan peralatan elektrik\n - Pemadam\n - *Serbuk kering\n - *Karbon dioksida\n - Kelas F\n - *Melibatkan lemak dan minyak masak\n - Pemadam\n - *Serbuk kering\n - *Karbon dioksida", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/5603aeb7056b0826bbc5364c2c47788a.png", "anno": "### U6 Do you like bananas?\n- 1.\n - healthy\n - food\n - ①fruit\n - ②vegetables\n - ③meat\n - ④drink\n - ⑤other food\n - eating habit\n - ①For breakfast\n - ②for lunch\n - ③for dinner/supper\n - I like/He likes\n - I don't like/He doesn't like", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/7c3623c39c0be505faee5d8b3b607016.png", "anno": "- good learning habits\n - creating an interest\n - practicing learning from mistakes\n - developing study skills:\n - asking questions", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/22666733bd7193307a958e762da629b1.png", "anno": "- 职业\n - computer programmer\n - cook\n - teacher\n - actor\n - engineer\n - basketball player\n - doctor", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/bf7d7bbf81f53c8b45017929eb0f089e.png", "anno": "- Unit 3~4...\n - 单词：\n - get to 到达\n - train 火车\n - bus 公共汽车\n - subway 地铁\n - take the subway 乘地铁\n - ride 旅程\n - bike 自行车\n - ride a bike 骑自行车\n - sixty 六十\n - seventy 六十\n - eight 八十\n - ninety 九十\n - hundred 一百\n - minute 分钟\n - far 远\n - kilometer 千米\n - new 新的\n - every 每一\n - everday 每一天\n - by 乘\n - by bike 骑自行车\n - drive 开车\n - car 小汽车\n - afraid 害怕\n - like 像\n - villger 村民\n - leave 离开\n - dream 梦想\n - true 真的\n - rule 规则\n - arrive 到达\n - become 准时\n - hallway 过道\n - hall 大厅\n - dining hall\n - listen 听\n - fight 打架\n - sorry 抱歉的\n - outside 在外面\n - wear 穿\n - bring 带带\n - 固定搭配：\n - How do you get to school? ——I ride my bike.\n - How does she get to school? ——She usually takes the bus.\n - How long does it take to get to school? ——It take about15分钟.\n - get home/there/here\n - in one's car——封闭\n - on one's bike——半封闭\n - be afraid to do sth 我害怕做某事\n - be afraid of doing sth. 我害怕做某事\n - It's +形容词 + to do sth.\n - between...and... 在...和...之间\n - 穿过.\n - cross 物体表面\n - through 内部\n - GF:\n - How far is it from your home to school? —It's only about two kilometers.\n - Does Jane walk to school? —No, she doesn't. She goes by bike.\n - Don't run in the hallways.\n - Don't fight.", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/73537d69dd995279ab5d17d964c304c3.png", "anno": "- My friend\n - what\n - name\n - Zheng Huijie\n - from\n - Xinjiang\n - year\n - 15 fifteen\n - appearance\n - is\n - tall\n - heary\n - has\n - beautiful short and black hair\n - a round face \n - a small mouth\n - wear\n - glasses\n - personality\n - careless\n - polite\n - humorous\n - friendly\n - courage\n - clever", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/7199e9a53b6eca90c0bdd48a59954ea4.png", "anno": "- Unit 2\n - 词汇\n - 三会：woman, man, father, dad, mother, brother, sister, grandfather, grandpa, grandmother, grandma。\n - 两会：family。\n - 句型\n - 1. — Who's that man?\n — He's my father.\n - 2. — Is she your mother?\n — Yes, she is\n - 3. — Who's that boy?\n — Guess.\n — Is he your brother?\n — No, he isn't. He's my dad.", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/89fa2916588bfdd02d89eddacfb8b963.png", "anno": "- Unit 1\n - problems\n - headache\n - toothache\n - hurt\n - have a cold\n - cough\n - have a fever\n - sick\n - stomachache\n - body\n - head\n - eye\n - tooth\n - nose\n - ear\n - neck\n - mouth\n - hand\n - arm\n - back\n - stomach\n - foot\n - shoulder\n - How to ask\n - How to answer\n - What's the matter\n - I have a / get + 疾病名称\n - Yes, I do / No, I don't\n - Do you……\n - What should I do?\n - cut himself\n - ①Run it under water\n - ②Put some medicine on it\n - ③Put a bandage on it\n - had a nosebleed\n - ①Put your head down\n - ②Press the side of your nose\n - ③clean your face\n - fell down and hurt\n - ①Go to the hospital\n - ②Get an X-ray\n - ③Rest for a few days", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/086c350a092b2bae34aa8e14a5fe6fc9.png", "anno": "- Excuse me\n - Is there a...near/around here?\n - Where's the...?\n - How can I get to the...?\n - Which is the way to the...?\n - Could you tell/shno me the way to the...?", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/2df83dbcaa956f4460fb9cde147517e1.png", "anno": "- main aims\n - to protect individual privacy\n - to harmonise data protection legislation\n- principles\n - lawfulness, fairness and transparency 透明\n - purpose limitation\n - data minimisation\n - accuracy\n - storage limitation\n - integrity and confidentiality\n- the rights of data subjects\n - to be informed\n - access\n - rectification 改正\n - erasure 删除\n - restrict processing\n - data portability\n - to object processing\n - automated decision making and profiling", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/d377b731b9c6bf27a84eb4b9d39a7061.png", "anno": " - Yes, Seven reasons why I think it is better to watch movies at home.\n - ① You don't need to pay extra money to buy snacks.\n - ② More comfortable.\n - ③ Don't need to be hurry.\n - ④ More quiet.\n - ⑤ You can change the movie or stop the movie.\n - ⑥ More interesting.\n - ⑦ Don't need to buy expensive tickets.\n", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/69c92d59225da1918501655f148aeb82.png", "anno": "- Tuesday July 16th\n - Weather\n - Mind raining a little map\n - raining hard\n - Activities feelings\n - decided to go to Penang Hill \n - terrible\n - took the train to the top\n - waited a long time\n - had one bowl of rice and some fish\n - great\n - because\n - X money\n - didn't have an umbrella\n - So\n - wet and cold", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/8b1cf97d1ce39e6ca3ade0d861763ae5.png", "anno": "- My Week Unit 2\n - Monday···\n - What do you have on Monday?\n - I have art. \n - 句型\n - What do you have on + 星期名称\n - I have + 课程名称。\n - Do you often + 动词(短语)原形？\n - Yes, I do. / No, I don`t.\n - 例句\n - What do you have on Thursday? \n - — I have maths, English and music.\n - Do you often read books in this park?\n - No, I don`t.\n - 单词\n - Monday 星期一\n - Tuesday 星期二\n - Wednesday 星期三\n - Thursday 星期四\n - Friday 星期五\n - Saturday 星期六\n - Sunday 星期日\n - weekend 周末\n - wash 洗\n - watch 看\n - do 干\n - read 看；读\n - play 踢；玩\n - cooking 烹调\n - often 常常\n - park 公园\n - tired 疲倦的\n - sport 体育运动\n - should 应当；应该\n - every 每个\n - day 一天；一日\n - schedule 工作计划 \n - 短语\n - Watch TV 看电视\n - read books 看书\n - play 踢\n - play football 踢足球\n - wash my clothes 洗我的衣服\n - do homework 做作业 \n - 小灰机", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/1ee1063cc1854f8e7a7f20f1ba470dc1.png", "anno": "- Paragraph 2.\n - structure\n - Name: A Christmas Carol\n - Kind: Short Novel\n - Writer: Charles Dickens\n - Characters\n - Scrooge: mean, only thinks about himself\n - Jacob Marley: used to be like Scrooge, wants Scrooge to change.", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b39657161e75efb1a49d806071f68690.png", "anno": " - weather\n - raining\n - raining hard\n - activity\n - walk up to the top — take the train\n - waited over an hour — there were too many people\n - didn't have an umbrella — we were wet and cold\n - I'm hungry — didn't bring enough menny\n - have rice and fish\n - mood\n - terrible\n - couldn't see any thing", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/bf0892c1a26e05c06a8648536f2010aa.png", "anno": "- Do You Know When Basketball Was Invented？\n - Some information\n - Basketball\n - Characteristic\n - much-loved\n - active\n - history\n - over 100 years\n - December 21, 1891\n - 1936 in Berlin\n - Olympics \n - Invented\n - inventor\n - James Naismith\n - country \n - Canada\n - why\n - was asked to think of a game that could be played in the winter\n - how to play\n - environment \n - on a hard floor\n - team \n - 2\n - getting the ball into their own basket\n - Status quo\n - popularity \n - around the world\n - many people dream\n - In China \n - everywhere\n - America\n - NBA\n - China\n - CBA\n - People\n - look up\n - basketball heroes\n - want to be", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/663f7a4b6c0cc0c96f7092d79a5bf5b4.png", "anno": "- resolution\n - physical health\n - ① Eat more fruits and vegetables\n - ② Go to exercise every day\n - self-improvement\n - ① I do my homework carefully every day\n - ② Take up a hobby\n - better planning\n - ① Make a weekly plan\n - ② Tidy my room every day.", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a99c092c4224b733695346a014ab15c4.png", "anno": "- good learning habits\n - creating an interest\n - practicing \n - learning from mistakes\n - developing study skills:\n - take notes\n - review\n - asking questions", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/dc708e2f30edfe8d1bbfa541195d4a21.png", "anno": "- 例句：\n - what does he/she have for lunch?\n - what do they have for lunch?\n - what do you have for lunch?\n - what do we you have for lunch?\n- \n - He has bread for lunch.\n - They have egg for lunch.\n - I have rice for lunch.\n - We have water for lunch.", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/2a36987b9045dd55bc5fc61e98e6d3bb.png", "anno": "- Monday\n - went to the beach\n - tried paragliding\n - exciting\n - had specials\n - delicious\n- Tuesday\n - walked\n - rained\n - took the train\n - rained hard\n - had rice and fish\n - delicious", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/0eb57620fce66a468f6832e844419597.png", "anno": "- time\n - years (ago)\n - o'clock\n - century\n - hour/minutes/second\n - day/week/month\n- No.\n - telephone~\n - class~\n - door~\n - Item~\n - page~\n - ID~\n - car~\n - Bus~\n- Distance\n - meters\n - miles\n - weight\n - height\n- others\n - money\n - pound\n - yuan\n - $\n - age\n - years old\n - at the age of\n - temperature\n - longitude and", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/877899c344ca37b0c1c2e1492499eff0.png", "anno": "- ②\n - class WatchView\n - def \n - initialize (model)\n - model.add_observe (self)\n - end\n - def \n - update (time)\n - printf \n - \"\\e[81])%02d:%02d\",time.to_iy\n - (time-time) to_i*100.\n - STDOUT.flush\n - end\n - end", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6f8a5d586c7f0c6d0e61aaa1dcf8577a.png", "anno": "思维导图1(0,0),(0,0)\n- Tuesday, July 16th\n - feeling\n - wet cold\n - terrible\n - place\n - Penany Hill AAA\n - activities\n - waited for the train\n - got to the top\n - couldn't see anything below\n - had one bowl of rice and some fish\n - great\n - happy\n - weather\n - raining a little\n - raining really hard\n - did have umbrelle", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9425bd0870aadcf61e422c7ee01b2c80.png", "anno": "### Unit 1 Teenage Life\n- School Clubs\n - Volunteer Club\n - Literature Club\n - Ballet Club\n - P.E./Sports Club\n - Science Club\n - Art Club\n - Music Club", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/c61e03aec1771d339eaab5aefc5ecbe5.png", "anno": "- get to school\n - 到达\n - I get to+地点 by+交通工具\n - a good exercise 锻炼（活动）\n - Mike Often come by bike.\n - 乘…\n - by+交通工具\n - Mrs Smith\n - How do you come to+地点?\n - Hi, children. You're early.\n - early 早的\n - Sometimes by car.\n - Usually walk.\n - walk=on foot 走路\n - Amy\n - Usually come on foot.\n - I come to...by...\n - Sometimes come by bus.\n", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/1875ac97c22a1b7ead898c206cf8e9a6.png", "anno": "- ③\n - class Watch Controller\n - def initialize\n - @model = watchModel.new\n - @view = watchView.new @model\n - system\"ssty cbreak - echo\"\n - begin\n - @view.update @model.time\n - loop do\n - break if SIDIN.gets == 9\n - @model.start_stop\n - end\n - ensure\n - system \"stty cooked echo\n - end\n - end\n - end", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a57d3c1597a10c52c71bd0d8cd9e13c2.png", "anno": "- Helen\n - born\n - in the US\n - in 1880\n - As a baby\n - blind and deaf\n - couldn't see or hear\n - teacher\n - drew letters in Helen's hand and taught her to spell\n - later\n - learnt to read, write and speak\n - wrote a book about herself and travelled all over the world\n - live\n - to be eighty-seven\n - is a role model for blind people, and also for you and me", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/c9a600326a91f4478ca1585cdc040ceb.png", "anno": "- to do, doing\n - to do \n - n. \n - ability, agreement, ambition, anxiety, acuriosity, disposition, mind, obligation, permission, refusal, reluctance, temptation, tendency, wish.\n - +doing\n - n+prep. \n - aptitude, delay, diffrenlty, excuse experience, interest, genius, habit, hope, idea, method, move, object, passion, plan, possibility, skill\n - n+ to do 和 n+prep+doing\n - attempt, chance, effort, freedom intention, necessity, apportunity, season, time 与 way.", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/432560baf796ece3ed291008b1ce3c0c.png", "anno": "### vocabulary\n- animals\n - bear\n - elephant\n - giraffe\n - lion\n - tiger\n - rabbit\n - hare\n - cat\n - panda\n - snake", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9c7241e1d9791acc9a81c74ce9c8be19.png", "anno": "- Let Science Talk: Help you\n - This from helps to focus.\n - Visual and graphic: mind maps are.\n - Mind Mapping helps and goal skills\n - Mind maps children to follow and\n - retention and remember\n - their learning projects help\n - great tool to improve\n - using mind maps help children", "chart_type": "思维导图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/8e2ce9a8ac49fcd7213c4f6efa06ef7c.png", "anno": "| 时间/min | 实验一-浓度/mg/L | 实验二-浓度/mg/L | 实验三-浓度/mg/L |\n| --- | --- | --- | --- |\n| 0 | 0.945 | 0.88 | 0.815 |\n| 1 | 0.953 | 0.938 | 0.869 |\n| 2 | 0.946 | 0.886 | 0.815 |\n| 3 | 0.957 | 0.876 | 0.827 |\n| 4 | 0.957 | 0.896 | 0.823 |\n| 5 | 0.957 | 0.925 | 0.825 |\n| 6 | 0.968 | 0.878 | 0.822 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/8abcad9738956c6edd436fc9b1f80455.png", "anno": "### 2024年1月\n\n| 高度/m | A-人数/人 | B-人数/人 |\n| --- | --- | --- |\n| 0 | 84 | 80 |\n| 200 | 84 | 76 |\n| 400 | 81 | 73 |\n| 600 | 70 | 70 |\n| 800 | 40 | 50 |\n| 1000 | 35 | 40 |\n| 1200 | 30 | 36 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b5d89948f4379b531d70ac1b55c77eda.png", "anno": "| | 系列1 | 系列2 | 系列3 | 系列4 | 系列5 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 2 | 7 | 0 |\n| 2 | 1 | 4 | 1 | 2 | 1 |\n| 3 | 1 | 3 | 2 | 4 | 6 |\n| 4 | 2 | 0 | 9 | 1 | 1 |\n| 5 | 1 | 1 | 4 | 6 | 1 |\n| 6 | 3 | 0 | 2 | 2 | 3 |\n| 7 | 1 | 2 | 1 | 5 | 2 |\n| 8 | 4 | 1 | 5 | 8 | 7 |\n| 9 | 2 | 3 | 5 | 1 | 9 |\n| 10 | 1 | 2 | 9 | 0 | 4 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/be989455407e442b5e3a8aff808eda6e.png", "anno": "| 时刻Time (h) | 净光合速率($ \\mu mol/m^{2}·s^{-1} $)-25% | 净光合速率($ \\mu mol/m^{2}·s^{-1} $)-45% | 净光合速率($ \\mu mol/m^{2}·s^{-1} $)-65% | 净光合速率($ \\mu mol/m^{2}·s^{-1} $)-85% |\n| --- | --- | --- | --- | --- |\n| 8:00 | 4.2 | 4.8 | 4.2 | 6 |\n| 10:00 | 3.8 | 4.8 | 7.2 | 8 |\n| 12:00 | 1.5 | 3.8 | 6.8 | 8.3 |\n| 14:00 | 3.7 | 7.8 | 10.7 | 12.2 |\n| 16:00 | 1 | 1 | 2.3 | 3.8 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0e654ac0cec6e1a3663c251552d2e48c.png", "anno": "| 时间/min | 实验一-压强/Pa | 实验二-压强/Pa | 实验三-压强/Pa | 实验四-压强/Pa | 实验五-压强/Pa |\n| --- | --- | --- | --- | --- | --- |\n| 20 | 120 | 112 | 95 | 111 | 119 |\n| 40 | 130 | 119 | 120 | 139 | 143 |\n| 60 | 147 | 125 | 120 | 150 | 145 |\n| 80 | 190 | 124 | 146 | 146 | 153 |\n| 100 | 200 | 125 | 140 | 237 | 153 |\n| 120 | 204 | 130 | 127 | 245 | 154 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/6bdbdc9cc14d07e6c17f08e253d3407b.png", "anno": "### 图表标题\n| | CNKI | WOS | 指数(CNKI) | 指数(WOS) |\n| --- | --- | --- | --- | --- |\n| 2001 | 110 | 69 | 118 | 65 |\n| 2002 | 105 | 65 | 115 | 69 |\n| 2003 | 98 | 80 | 105 | 75 |\n| 2004 | 119 | 62 | 100 | 79 |\n| 2005 | 90 | 60 | 97 | 87 |\n| 2006 | 90 | 105 | 90 | 92 |\n| 2007 | 97 | 112 | 85 | 99 |\n| 2008 | 96 | 123 | 80 | 106 |\n| 2009 | 94 | 139 | 78 | 116 |\n| 2010 | 70 | 142 | 71 | 123 |\n| 2011 | 50 | 98 | 69 | 135 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/eeae30f6087af8807bfb8243972c8a65.png", "anno": "### 勉强能发中文核心\n\n| A | 157-B | 165.5-B | 168.5-B | 174.5-B | 180.5-B | 186.5-B | 192.5-B | 201.5-B | 207.5-B | 213.5-B | 219.5-B |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 0.68 | 0.8 | 0.92 | 1.39 | 1.63 | 1.94 | 2.0 | 2.13 | 2.11 | 1.87 | 1.54 |\n| 10 | 0.19 | 0.25 | 0.57 | 0.64 | 0.7 | 0.76 | 0.83 | 1.29 | 1.25 | 1.07 | 0.94 |\n| 20 | 0.29 | 0.3 | 0.32 | 0.4 | 0.45 | 0.48 | 0.55 | 0.72 | 0.68 | 0.58 | 0.35 |\n| 30 | 0.32 | 0.41 | 0.5 | 0.55 | 0.34 | 0.37 | 0.41 | 0.57 | 0.53 | 0.44 | 0.22 |\n| 40 | 0.38 | 0.45 | 0.55 | 0.58 | 0.48 | 0.5 | 0.57 | 0.77 | 0.69| 0.6 | 0.37 | ", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/eeffd772d9d49e83c99d4a6635e837ee.png", "anno": "### 跳远成绩统计图\n| 次数 | 明明-成绩/m | 亮亮-成绩/m |\n| --- | --- | --- |\n| 1 | 2.7 | 2.8 |\n| 2 | 2.8 | 3.0 |\n| 3 | 3.1 | 2.8 |\n| 4 | 2.5 | 3.2 |\n| 5 | 2.6 | 3.4 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/d9caf5b93f215ddf74d0b0284301e4f9.png", "anno": "| | 数据1 | 数据2 |\n| --- | --- | --- |\n| 数据1 | 0 | 0 |\n| 数据2 | 100 | 30 |\n| 数据3 | 30 | 200 |\n| 数据4 | 90 | 120 |\n| 数据5 | 40 | 160 |\n| 数据6 | 96 | 30 |\n| 数据7 | 46 | 100 |\n| 数据8 | 60 | 150 |\n| 数据9 | 76 | 190 |\n| 数据10 | 64 | 160 |\n| 数据11 | 40 | 120 |\n| 数据12 | 80 | 160 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/46f3c76b3fc2f98799c439ebca8a391c.png", "anno": "### 博物馆和美术馆参观人数统计图\n#### 2024年9月\n| 时间/时 | 博物馆-人数/人 | 美术馆-人数/人 |\n| --- | --- | --- |\n| 9 | 43 | 58 |\n| 10 | 62 | 85 |\n| 11 | 99 | 88 |\n| 12 | 59 | 72 |\n| 13 | 22 | 59 |\n| 14 | 24 | 46 |\n| 15 | 12 | 10 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/7eb5119df5ab246d138807bdeb4d32dc.png", "anno": "| | 衬衫-百万 |\n| --- | --- |\n| 1月 | 592 |\n| 2月 | 480 |\n| 3月 | 1,114 |\n| 4月 | 973 |\n| 5月 | 1,092 |\n| 6月 | 1,112 |\n| 7月 | 767 |\n| 8月 | 827 |\n| 9月 | 995 |\n| 10月 | 1,024 |\n| 11月 | 933 |\n| 12月 | 509 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/21269f28b4ee93299002aff3e2e12789.png", "anno": "### 小宁连续两周居家体温测量折线统计图\n\n| 星期 | 第一周-体温/℃ | 第二周-体温/℃ |\n| --- | --- | --- |\n| 一 | 36.7 | 36.7 |\n| 二 | 37.1 | 36.6 |\n| 三 | 36.6 | 36.6 |\n| 四 | 37.1 | 36.7 |\n| 五 | 37.1 | 36.8 |\n| 六 | 36.6 | 36.6 |\n| 日 | 36.9 | 36.8 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a07d840b9c0da4fa500169f21c6c38b3.png", "anno": "| | 美的 | 格力 | 海尔 |\n| --- | --- | --- | --- |\n| 2013 | 1.25 | 0.88 | 1.42 |\n| 2014 | 1.17 | 0.88 | 1.18 |\n| 2015 | 1.07 | 0.60 | 1.18 |\n| 2016 | 0.94 | 0.59 | 0.91 |\n| 2017 | 0.97 | 0.69 | 1.05 |\n| 2018 | 0.99 | 0.79 | 1.10 |\n| 2019 | 0.92 | 0.70 | 1.07 |\n| 2020 | 0.79 | 0.60 | 1.03 |\n| 2021 | 0.88 | 0.59 | 1.05 |\n| 2022 | 0.82 | 0.53 | 1.04 |\n| 2023 | 0.77 | 0.56 | 1.04 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/973884c03ccf109abdf6ca53b17e9ed8.png", "anno": "### 君君7~15岁体重与标准体重对比情况统计图\n\n| 年龄/岁 | 标准体重-体重/kg | 君君体重-体重/kg |\n| --- | --- | --- |\n| 7 | 24 | 22 |\n| 8 | 27 | 25 |\n| 9 | 31 | 29 |\n| 10 | 35 | 32 |\n| 11 | 39 | 37 |\n| 12 | 45 | 43 |\n| 13 | 48 | 45 |\n| 14 | 51 | 47 |\n| 15 | 57 | 49 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/cb877ee4f39cd1666ca1d2c8e146550c.png", "anno": "### 测试集预测结果对比\n| | 真实值-预测结果 | CNN-LSTM-Attention预测值-预测结果 | 改进CNN-LSTM-Attention预测值-预测结果 |\n| --- | --- | --- | --- |\n| 1 | 2.0 | 3.5 | 1.7 |\n| 2 | 2.3 | 4.6 | 2.6 |\n| 3 | 8.5 | 7.3 | 5.4 |\n| 4 | 6.0 | 5.9 | 5.0 |\n| 5 | 6.1 | 6.5 | 6.1 |\n| 6 | 5.3 | 7.5 | 5.3 |\n| 7 | 3.0 | 6.6 | 2.2 |\n| 8 | 2.7 | 4.8 | 1.7 |\n| 9 | 6.6 | 4.8 | 5.3 |\n| 10 | 5.6 | 4.7 | 5.4 |\n| 11 | 4.5 | 3.7 | 4.0 |\n| 12 | 4.2 | 5.8 | 3.8 |\n| 13 | 2.2 | 4.6 | 2.7 |\n| 14 | 1.8 | 5.7 | 1.3 |\n| 15 | 7.3 | 4.9 | 7.5 |\n| 16 | 5.5 | 5.4 | 5.2 |\n| 17 | 5.3 | 4.2 | 3.1 |\n| 18 | 10.7 | 5.0 | 11.3 |\n| 19 | 3.5 | 3.6 | 3.0 |\n| 20 | 8.1 | 4.7 | 6.1 |\n| 21 | 5.8 | 6.5 | 6.2 |\n| 22 | 11.2 | 9.8 | 10.1 |\n| 23 | 9.6 | 7.0 | 8.0 |\n| 24 | 2.8 | 4.7 | 2.8 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/897bebfdc127647634d462fbf810254c.png", "anno": "| 学生 | 甲班-阅读时长/h | 乙班-阅读时长/h |\n| --- | --- | --- |\n| 1 | 7 | 4.5 |\n| 2 | 7 | 7 |\n| 3 | 8 | 9.2 |\n| 4 | 9.2 | 9.2 |\n| 5 | 9.2 | 9.2 |\n| 6 | 11.2 | 10 |\n| 7 | 12 | 14 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a08dc5995549c5100a08a063d54d9192.png", "anno": "### 上映时间\n\n| 度量名称 | 累计票房(万)-累计票房(万) | 记录数-电影数量 |\n| --- | --- | --- |\n| 一月 | 155K | 53 |\n| 二月 | 383K | 25 |\n| 三月 | 38K | 21 |\n| 四月 | 218K | 27 |\n| 五月 | 16K | 25 |\n| 六月 | 100K | 27 |\n| 七月 | 653K | 44 |\n| 八月 | 205K | 40 |\n| 九月 | 515K | 46 |\n| 十月 | 44K | 30 |\n| 十一月 | 74K | 42 |\n| 十二月 | 524K | 49 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/6bbf9c57f496a55bf054c697d7c5cddc.png", "anno": "### 2019年3月\n\n| 月份 | A市-降水量/毫米 | B市-降水量/毫米 |\n| --- | --- | --- |\n| 1 | 15 | 52 |\n| 2 | 36 | 10 |\n| 3 | 25 | 10 |\n| 4 | 70 | 5 |\n| 5 | 68 | 90 |\n| 6 | 170 | 150 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/e80673ec62be4ef7a23f7f57e1ad40b7.png", "anno": "### 2024年度服装销量走势分析\n\n| | 衬衫 | 风衣 | 夹克 | 休闲裤 |\n| --- | --- | --- | --- | --- |\n| 1月 | 0.6E+09 | 1.8E+09 | 1.8E+09 | 2.3E+09 |\n| 2月 | 0.5E+09 | 3.2E+09 | 1.49E+09 | 1.2E+09 |\n| 3月 | 1.1E+09 | 1E+09 | 1.91E+09 | 2.1E+09 |\n| 4月 | 1E+09 | 0.84E+09 | 0.75E+09 | 2.2E+09 |\n| 5月 | 1.1E+09 | 1.15E+09 | 0.5E+09 | 2.6E+09 |\n| 6月 | 1.1E+09 | 1.2E+09 | 0.42E+09 | 3.26E+09 |\n| 7月 | 0.8E+09 | 1.497E+09 | 0.38E+09 | 2.5E+09 |\n| 8月 | 0.85E+09 | 1.505E+09 | 1E+09 | 1.85E+09 |\n| 9月 | 1E+09 | 1.21E+09 | 2.1E+09 | 1.8E+09 |\n| 10月 | 1.01E+09 | 1.8E+09 | 3.3E+09 | 2.5E+09 |\n| 11月 | 0.99E+09 | 1.25E+09 | 2.9E+09 | 2.6E+09 |\n| 12月 | 0.5E+09 | 1.28E+09 | 1.8E+09 | 2.52E+09 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/31b13dc496841e26bcfe397a42973a29.png", "anno": "### 商场某两种电器全年销售情况统计图\n\n| 月份 | A商品-数量/台 | B商品-数量/台 |\n| --- | --- | --- |\n| 1 | 15 | 25 |\n| 2 | 20 | 20 |\n| 3 | 30 | 5 |\n| 4 | 30 | 0 |\n| 5 | 40 | 0 |\n| 6 | 55 | 0 |\n| 7 | 90 | 10 |\n| 8 | 80 | 45 |\n| 9 | 55 | 65 |\n| 10 | 30 | 70 |\n| 11 | 25 | 80 |\n| 12 | 20 | 100 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/8d2439441713f2236cd7a1a89ddadd06.png", "anno": "### 发展能力指标\n\n| | 总资产增长率 | 股东权益增长率 |\n| --- | --- | --- |\n| 1 | 22.00% | 38.00% |\n| 2 | 47.00% | 27.00% |\n| 3 | 9.00% | -27.00% |\n| 4 | 84.00% | 65.00% |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/17c79247f3a8927e0b30322e9ac661b7.png", "anno": "### 十二月部分蔬菜均价变化情况（单位：元/斤）\n| 日期 | 穿心莲-单位：元/斤 | 菜心-单位：元/斤 | 盖菜-单位：元/斤 | 蒿子秆-单位：元/斤 | 菠菜-单位：元/斤 | 黄心菜-单位：元/斤 | 鸡毛菜-单位：元/斤 | 荠菜-单位：元/斤 | 芥兰-单位：元/斤 | 空心菜-单位：元/斤 | 小白菜-单位：元/斤 | 油麦菜-单位：元/斤 | 香葱-单位：元/斤 | 苋菜-单位：元/斤 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 23日 | 3.5 | 2.5 | 3 | 2.8 | 2.5 | 1.8 | 4 | 7.5 | 4.5 | 6.8 | 1.4 | 2.3 | 8 | 6.2 |\n| 20日 | 3 | 3 | 3 | 2.5 | 3.5 | 1.7 | 3.8 | 6 | 4.8 | 6.5 | 2.2 | 3 | 7.8 | 6.5 |\n| 19日 | 3 | 3 | 3 | 2.8 | 3.5 | 1.6 | 3.8 | 6 | 4.8 | 6.3 | 2 | 2.8 | 7.8 | 6.5 |\n| 18日 | 3 | 3 | 3 | 2.7 | 3.5 | 1.6 | 4.2 | 6 | 4.2 | 6.3 | 1.9 | 2.6 | 7.2 | 5.5 |\n| 17日 | 3 | 3 | 3 | 2.8 | 3.5 | 1.6 | 4.5 | 6 | 4.2 | 6.8 | 1.9 | 2.6 | 7.2 | 5.5 |\n| 16日 | 3.5 | 2.3 | 3.2 | 2.8 | 3.5 | 1.6 | 3.3 | 6 | 3.2 | 7.3 | 1.9 | 2.3 | 7.2 | 5.5 |\n| 13日 | 3.5 | 2.7 | 3 | 2.8 | 3.5 | 1.6 | 3 | 6 | 2.2 | 7.3 | 1.9 | 2.3 | 7 | 5.5 |\n| 12日 | 3.5 | 2.7 | 3 | 2.8 | 3.5 | 1.6 | 3 | 6 | 2.2 | 7.3 | 1.9 | 2.2 | 7.5 | 5.5 |\n| 11日 | 3.5 | 2.7 | 3 | 2.8 | 3 | 1.6 | 3 | 5.5 | 2.2 | 7.8 | 2 | 2.2 | 7.5 | 6 |\n| 10日 | 3.5 | 2.7 | 3 | 3.2 | 3 | 1.6 | 3 | 5.5 | 3 | 8.3 | 2.3 | 2.2 | 7.5 | 6.8 |\n| 9日 | 4 | 2.2 | 3 | 2.4 | 2.8 | 1.6 | 3.3 | 5.5 | 2.8 | 8.3 | 2 | 2.2 | 7 | 6.4 |\n| 6日 | 4 | 3.3 | 2.2 | 2.4 | 2.2 | 1.6 | 3.3 | 5.5 | 2.2 | 8.6 | 2 | 2.2 | 6 | 8.8 |\n| 5日 | 4 | 3.1 | 2 | 2.2 | 2.2 | 1.6 | 3.8 | 5.5 | 2 | 6.5 | 2 | 2.2 | 6 | 7.8 |\n| 4日 | 4 | 3.1 | 2 | 2.6 | 2.2 | 1.6 | 3.8 | 5.5 | 2.1 | 6.5 | 2 | 2.2 | 6 | 7.8 |\n| 3日 | 4 | 2.9 | 2 | 2.6 | 2.2 | 1.6 | 4.2 | 5.5 | 2.3 | 6 | 2 | 2.2 | 6 | 7.8 |\n| 2日 | 4 | 2.4 | 2 | 2.6 | 1.8 | 1.6 | 4.8 | 6 | 2.2 | 6 | 2.2 | 1.8 | 6 | 7.8 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/548ce20ae3ff213915229c37a110d50c.png", "anno": "| 测试次序 | 甲-分数 | 乙-分数 |\n| --- | --- | --- |\n| 一 | 80 | 70 |\n| 二 | 85 | 72 |\n| 三 | 87 | 75 |\n| 四 | 90 | 85 |\n| 五 | 92 | 91 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/e24280fc110cdda3d90f7cc5ce0e4234.png", "anno": "### 各个城市销售量对比\n\n| 月 | 小美 | 小岸 | 小高 | 小姜 | 小叶 |\n| --- | --- | --- | --- | --- | --- |\n| 6月 | 390 | 460 | 420 | 510 | 330 |\n| 7月 | 280 | 230 | 280 | 370 | 230 |\n| 8月 | 240 | 490 | 570 | 460 | 530 |\n| 9月 | 510 | 560 | 400 | 480 | 520 |\n| 10月 | 240 | 330 | 220 | 500 | 540 |\n| 11月 | 360 | 470 | 590 | 380 | 280 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/7070fe8060e2f5d9d0803f0e0c17ff0d.png", "anno": "### 5天工作日商品销售趋势\n| 时间 | 折线1-销量 | 折线2-销量 | 折线3-销量 |\n| --- | --- | --- | --- |\n| 周一 | 10 | 50 | 30 |\n| 周二 | 60 | 20 | 60 |\n| 周三 | 40 | 50 | 90 |\n| 周四 | 80 | 30 | 110 |\n| 周五 | 100 | 90 | 70 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1d4955bc2caa1d827895cbc9d6d3bc9c.png", "anno": "### 甲、乙两架模型飞机的飞行情况统计图\n| 时间/秒 | 甲模型飞机-飞行高度/米 | 乙模型飞机-飞行高度/米 |\n| --- | --- | --- |\n| 0 | 0 | 0 |\n| 3 | 18 | 12 |\n| 6 | 24 | 18 |\n| 9 | 27 | 27 |\n| 12 | 30 | 36 |\n| 15 | 24 | 30 |\n| 18 | 24 | 0 |\n| 21 | 18 | 0 |\n| 24 | 0 | 0 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/ce77bd404f61b5255bf30a91d035d53a.png", "anno": "### 历史学2018-2025年国家线趋势图\n| | A类考生 | B类考生 |\n| --- | --- | --- |\n| 2018 | 315 | 305 |\n| 2019 | 325 | 315 |\n| 2020 | 324 | 314 |\n| 2021 | 321 | 311 |\n| 2022 | 336 | 326 |\n| 2023 | 336 | 326 |\n| 2024 | 345 | 335 |\n| 2025 | 336 | 326 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/5af09b477162096e9f5e2724954c6361.png", "anno": "### 运行成本最低情况下:MOGWO\n| | Grid-功率/kw | DE-功率/kw | BESS-功率/kw | MT-功率/kw |\n| --- | --- | --- | --- | --- |\n| 1 | 3.5 | 13.4 | -0.8 | 7.3 |\n| 2 | 19.2 | 15.6 | 7.9 | 8.7 |\n| 3 | 15.4 | 20.1 | -1.1 | 11.0 |\n| 4 | 11.3 | 13.0 | 13.6 | 13.0 |\n| 5 | 4.6 | 19.3 | -0.4 | 6.6 |\n| 6 | 6.3 | 12.8 | 1.3 | 8.9 |\n| 7 | 2.9 | 24.6 | -0.6 | 5.2 |\n| 8 | 1.0 | 23.2 | 0.1 | 9.4 |\n| 9 | 14.7 | 18.0 | 1.9 | 19.0 |\n| 10 | 4.8 | 20.0 | 0.9 | 7.5 |\n| 11 | 6.2 | 27.9 | 1.4 | 8.2 |\n| 12 | -1.3 | 8.7 | 0.3 | 5.2 |\n| 13 | -1.7 | 15.1 | 1.7 | 9.4 |\n| 14 | 18.8 | 21.0 | 0.6 | 10.3 |\n| 15 | -1.5 | 22.9 | 0.8 | 29.0 |\n| 16 | -5.0 | 9.7 | 9.1 | 11.0 |\n| 17 | 19.0 | 22.5 | 0.6 | 7.1 |\n| 18 | 9.0 | 10.5 | 6.7 | 4.9 |\n| 19 | 5.6 | 17.9 | 4.6 | 20.6 |\n| 20 | 0.9 | 10.5 | 1.7 | 5.2 |\n| 21 | 2.2 | 14.0 | 14.0 | 6.5 |\n| 22 | 10.0 | 13.9 | 16.5 | 6.0 |\n| 23 | 0.0 | 17.7 | 14.2 | 5.2 |\n| 24 | 8.6 | 11.7 | 2.7 | 5.7 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b6fa40d68f05168f3acd5e4e22f6f11e.png", "anno": "| 时间/h | 1-电压/V | 2-电压/V | 3-电压/V | 4-电压/V |\n| --- | --- | --- | --- | --- |\n| 1 | 0.86 | 0.77 | 1.05 | 1.03 |\n| 2 | 1.39 | 1.19 | 1.21 | 1.44 |\n| 3 | 1.44 | 1.19 | 1.21 | 1.09 |\n| 4 | 1.32 | 1.36 | 1.20 | 1.48 |\n| 5 | 1.03 | 1.03 | 1.01 | 0.94 |\n| 6 | 1.02 | 1.14 | 1.23 | 1.08 |\n| 7 | 1.22 | 1.24 | 1.26 | 1.19 |\n| 8 | 1.21 | 1.25 | 1.27 | 1.28 |\n| 9 | 1.00 | 1.08 | 1.06 | 0.96 |\n| 10 | 1.01 | 1.22 | 1.00 | 1.17 |\n| 11 | 1.13 | 0.99 | 1.10 | 0.97 |\n| 12 | 1.05 | 1.06 | 1.06 | 1.37 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/8496c31f9e720f230eed9f8a3b550454.png", "anno": "| 路段 | RQI(C1)-指标值 | PCI(C2)-指标值 | PSSI(C3)-指标值 | SRI(C4)-指标值 | ARI(C5)-指标值 | PQI(C6)-指标值 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 50.2 | 63.5 | 44.9 | 91.3 | 71 | 63.7 |\n| 2 | 66.7 | 39.8 | 66.7 | 70.4 | 79.1 | 63.7 |\n| 3 | 86.8 | 82.1 | 86.7 | 44.2 | 68 | 74.2 |\n| 4 | 62.8 | 70.9 | 67.2 | 89 | 86.5 | 74.4 |\n| 5 | 87.9 | 77.3 | 74 | 50.5 | 51.5 | 69.4 |\n| 6 | 70.9 | 91.3 | 86 | 96.5 | 95.8 | 87.1 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/2cf0a11333b1c86f3a5540798c33cfa0.png", "anno": "### 智能优化算法优化前后的BP神经网络预测值和真实值对比图\n\n| | 真实值-指标值 | BP预测值-指标值 | 智能优化算法-BP预测值-指标值 |\n| --- | --- | --- | --- |\n| 1 | 15 | 16 | 16 |\n| 2 | 27 | 14 | 18 |\n| 3 | 26 | 17 | 20 |\n| 4 | 19 | 19 | 21 |\n| 5 | 25 | 19 | 23 |\n| 6 | 27 | 19 | 21 |\n| 7 | 12 | 21 | 26 |\n| 8 | 30 | 18 | 17 |\n| 9 | 17 | 14 | 14 |\n| 10 | 35 | 21 | 22 |\n| 11 | 30 | 19 | 21 |\n| 12 | 32 | 13 | 20 |\n| 13 | 29 | 23 | 23 |\n| 14 | 15 | 19 | 30 |\n| 15 | 30 | 10 | 27 |\n| 16 | 11 | 21 | 17 |\n| 17 | 34 | 5 | 21 |\n| 18 | 29 | 19 | 16 |\n| 19 | 26 | 11 | 19 |\n| 20 | 32 | 19 | 23 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/20de364c2590b0f1ceb52371aafd77b0.png", "anno": "### 二季度各连锁店销售情况图\n\n| | 4月 | 5月 | 6月 |\n| --- | --- | --- | --- |\n| 一分店 | 287 | 201 | 115 |\n| 二分店 | 355 | 458 | 568 |\n| 三分店 | 991 | 796 | 418 |\n| 四分店 | 352 | 92 | 219 |\n| 五分店 | 920 | 286 | 615 |\n| 六分店 | 272 | 475 | 158 |\n| 七分店 | 554 | 305 | 829 |\n| 八分店 | 513 | 849 | 653 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0bba33e7fac1de20f9b1babf866b6f45.png", "anno": "### 2024年11月\n| 次数 | 兰兰-个数/个 | 丽丽-个数/个 |\n| --- | --- | --- |\n| 第一次 | 15 | 10 |\n| 第二次 | 13 | 13 |\n| 第三次 | 20 | 25 |\n| 第四次 | 27.5 | 20 |\n| 第五次 | 30 | 30 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/e22491ed3921fa513aa958eda12be84f.png", "anno": "### 鱼鹰算法优化前后的BP神经网络预测值和真实值对比图\n\n| | 真实值-指标值 | BP预测值-指标值 | 鱼鹰算法优化BP预测值-指标值 |\n| --- | --- | --- | --- |\n| 1 | -0.26 | -0.09 | -0.28 |\n| 2 | -0.56 | -0.24 | -0.56 |\n| 3 | -0.74 | -0.48 | -0.77 |\n| 4 | -1.02 | -1.08 | -1.08 |\n| 5 | 0.28 | 0.15 | 0 |\n| 6 | -0.86 | -0.35 | -0.86 |\n| 7 | -0.83 | -0.32 | -0.83 |\n| 8 | -0.98 | -0.6 | -1.01 |\n| 9 | -0.98 | -0.92 | -1.04 |\n| 10 | -0.48 | -0.02 | -0.51 |\n| 11 | -1.07 | -0.34 | -1.01 |\n| 12 | -1.04 | -0.34 | -1.0 |\n| 13 | -1.07 | -0.62 | -1.05 |\n| 14 | -1.01 | -0.79 | -1.03 |\n| 15 | -0.42 | 0.01 | -0.48 |\n| 16 | -1.08 | -0.41 | -1.03 |\n| 17 | -1.04 | -0.41 | -1.01 |\n| 18 | -1.03 | -0.48 | -1.0 |\n| 19 | -0.98 | -0.47 | -0.94 |\n| 20 | -0.14 | -0.2 | -0.26 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/69df305f284e0d30e1dcca86ae24a4ef.png", "anno": "| | 召回率-MAE | 准确率-MAE | 覆盖率-MAE |\n| --- | --- | --- | --- |\n| 5 | 0.14 | 0.57 | 0.86 |\n| 10 | 0.28 | 0.48 | 0.74 |\n| 15 | 0.50 | 0.40 | 0.68 |\n| 20 | 0.58 | 0.31 | 0.67 |\n| 25 | 0.62 | 0.21 | 0.58 |\n| 30 | 0.56 | 0.27 | 0.52 |\n| 35 | 0.52 | 0.25 | 0.45 |\n| 40 | 0.52 | 0.22 | 0.41 |\n| 45 | 0.48 | 0.22 | 0.39 |\n| 50 | 0.52 | 0.22 | 0.39 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/e588c7acfe1353e902ab734d51e5b250.png", "anno": "### 图3 料液比对多酚提取率的影响\n\n| 料液比/($ g·mL^{-1} $) | 提取率% |\n| --- | --- |\n| 1:30 | 1.17 |\n| 1:40 | 1.4 |\n| 1:50 | 1.54 |\n| 1:60 | 1.75 |\n| 1:70 | 1.8 |\n| 1:80 | 1.8 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/102774a81e833493a9339e8893abd46d.png", "anno": "| | 实验组-信号强度(a.u.) | 对照组-信号强度(a.u.) | 处理组-信号强度(a.u.) |\n| --- | --- | --- | --- |\n| 0 | 0 | 0.1 | 0.2 |\n| 1 | 0.5 | 0.3 | 0.4 |\n| 2 | 0.8 | 0.6 | 0.3 |\n| 3 | 0.6 | 0.7 | 0.8 |\n| 4 | 0.95 | 0.5 | 0.4 |\n| 5 | 0.3 | 0.8 | 0.6 |\n| 6 | 0.7 | 0.4 | 0.9 |\n| 7 | 0.4 | 0.9 | 0.3 |\n| 8 | 1.0 | 0.5 | 0.7 |\n| 9 | 0.2 | 0.7 | 0.5 |\n| 10 | 0.5 | 0.3 | 0.8 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b852e86f199c5a9cb5012c57a7370200.png", "anno": "### 省建设厅2006年成绩统计折线图\n| | 报名人数 | 通过人数 |\n| --- | --- | --- |\n| 第一期 | 28 | 15 |\n| 第二期 | 60 | 24 |\n| 第三期 | 66 | 25 |\n| 第四期 | 44 | 13 |\n| 上半年 | 88 | 39 |\n| 下半年 | 110 | 38 |\n| 全年统计 | 198 | 77 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3f0d830e7527a3483ef247f018861b71.png", "anno": "### 折线图标题\n\n| | 年级编号 | ID |\n| --- | --- | --- |\n| 1991 | 4 | 8 |\n| 1992 | 2 | 4 |\n| 1993 | 3 | 6 |\n| 1994 | 5 | 10 |\n| 1995 | 4 | 8 |\n| 1996 | 6 | 12 |\n| 1997 | 8 | 3 |\n| 1998 | 7 | 1 |\n| 1999 | 9 | 5 |\n| 2000 | 11 | 9 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/21a030616146e37bf5b173a0b5582df6.png", "anno": "### 营运能力指标\n\n| | 固定资产周转率 | 总资产周转率 | 流动资产周转率 |\n| --- | --- | --- | --- |\n| 2021 | 2.16 | 0.57 | 1.37 |\n| 2022 | 4.03 | 0.86 | 1.64 |\n| 2023 | 4.01 | 0.73 | 1.35 |\n| 2024 | 16.13 | 1.99 | 3.15 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/dbce534af3d171e215ea787d97340d9a.png", "anno": "| 时间/h | 1-电压/V | 2-电压/V | 3-电压/V | 4-电压/V |\n| --- | --- | --- | --- | --- |\n| 1 | 0.86 | 0.77 | 1.05 | 1.03 |\n| 2 | 1.38 | 1.18 | 1.21 | 1.44 |\n| 3 | 1.44 | 1.19 | 1.21 | 1.09 |\n| 4 | 1.32 | 1.36 | 1.20 | 1.48 |\n| 5 | 1.03 | 1.03 | 1.01 | 0.94 |\n| 6 | 1.02 | 1.14 | 1.23 | 1.07 |\n| 7 | 1.21 | 1.24 | 1.26 | 1.18 |\n| 8 | 1.21 | 1.25 | 1.28 | 1.28 |\n| 9 | 0.94 | 1.08 | 1.06 | 0.95 |\n| 10 | 0.95 | 1.32 | 0.94 | 1.17 |\n| 11 | 1.13 | 0.99 | 1.10 | 0.96 |\n| 12 | 1.05 | 1.06 | 1.06 | 1.37 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/8f5708dc427d28c9a820a786ddfabf14.png", "anno": "| 位置序号 | 460-绝对误差/mm | 440-绝对误差/mm | 420-绝对误差/mm | 400-绝对误差/mm | 380-绝对误差/mm |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 6.1 | 9.6 | 7.1 | 6.06 | 6.4 |\n| 2 | 14 | 7.3 | 8 | 6.4 | 5.3 |\n| 3 | 6.4 | 6.9 | 6.9 | 5.8 | 5.8 |\n| 4 | 8.9 | 7.1 | 9.3 | 4.6 | 3.6 |\n| 5 | 9.7 | 6.7 | 7.2 | 4.5 | 5.5 |\n| 6 | 6.4 | 7 | 5.2 | 7.1 | 5.46 |\n| 7 | 6.1 | 6.76 | 7.1 | 7.6 | 5.2 |\n| 8 | 6.8 | 6.8 | 5.3 | 4.3 | 5.8 |\n| 9 | 9.5 | 6.72 | 4.6 | 5.92 | 6 |\n| 10 | 10.8 | 6.1 | 6.9 | 5.92 | 5.3 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a830da65dad7c6778157ed31cfb8287c.png", "anno": "### 和最低气温统计图\n| 日期 | 最高气温-气温/℃ | 最低气温-气温/℃ |\n| --- | --- | --- |\n| 1日 | 21 | 14 |\n| 2日 | 22 | 13 |\n| 3日 | 23 | 17 |\n| 4日 | 20 | 12 |\n| 5日 | 22 | 14 |\n| 6日 | 18 | 13 |\n| 7日 | 19 | 16 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a0de8db482c8e8f3ac0e6cdde015f503.png", "anno": "| 次数 | 小亮-距离/米 | 小松-距离/米 |\n| --- | --- | --- |\n| 第1次 | 10.5 | 9.5 |\n| 第2次 | 10.5 | 11.5 |\n| 第3次 | 11 | 12 |\n| 第4次 | 11 | 11 |\n| 第5次 | 11.5 | 11 |\n| 第6次 | 11 | 12 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/4e1c7155a7cadc03850fd94441364d49.png", "anno": "| 时间(min) | Sample 1-浓度(mg/L) | Sample 2-浓度(mg/L) | Sample 3-浓度(mg/L) | Sample 4-浓度(mg/L) | Sample 5-浓度(mg/L) |\n| --- | --- | --- | --- | --- | --- |\n| 0 | 100 | 99 | 94 | 75 | 67 |\n| 10 | 106 | 104 | 99 | 88 | 80 |\n| 20 | 120 | 121 | 117 | 100 | 94 |\n| 30 | 145 | 133 | 143 | 136 | 120 |\n| 40 | 170 | 145 | 129 | 132 | 123 |\n| 50 | 195 | 156 | 145 | 139 | 130 |\n| 60 | 220 | 167 | 159 | 153 | 150 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/411dc2a33bc4f5f4fa5a2b274fb3080e.png", "anno": "| 评委编号 | 甲-得分 | 乙-得分 |\n| --- | --- | --- |\n| 1 | 85 | 80 |\n| 2 | 100 | 80 |\n| 3 | 80 | 90 |\n| 4 | 60 | 85 |\n| 5 | 100 | 90 |\n| 6 | 85 | 90 |\n| 7 | 90 | 85 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0666f2f14c564a68ed79a7d8ffb22d3b.png", "anno": "折线图1(0,0),(0,0)\n### 甲、乙两地月平均气温统计图\n\n| 月份 | 甲地-气温/℃ | 乙地-气温/℃ |\n| --- | --- | --- |\n| 1 | 3 | 17 |\n| 2 | 5 | 18 |\n| 3 | 10 | 22 |\n| 4 | 16.1 | 24.9 |\n| 5 | 21.3 | 27.4 |\n| 6 | 25.7 | 28.1 |\n| 7 | 28.8 | 28.4 |\n| 8 | 28.2 | 27.7 |\n| 9 | 23.3 | 26.8 |\n| 10 | 17.5 | 24.8 |\n| 11 | 11.1 | 21.8 |\n| 12 | 5.4 | 18.7 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a6ff5118181917a6e2bba767297762ff.png", "anno": "| | 红色系列 | 紫色系列 | 绿色系列 |\n| --- | --- | --- | --- |\n| 1 | 700 | 1700 | 2200 |\n| 2 | 2200 | 3200 | 4200 |\n| 3 | 2700 | 4200 | 5200 |\n| 4 | 700 | 2200 | 3700 |\n| 5 | 2700 | 4700 | 6200 |\n| 6 | 1200 | 3700 | 4700 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/747f49f6d11bd7e1dc48ae8eeb78aa1f.png", "anno": "### 图表标题\n\n| | 城市一 | 城市二 | 城市三 |\n| --- | --- | --- | --- |\n| 1月 | 500 | 250 | 300 |\n| 2月 | 600 | 560 | 420 |\n| 3月 | 450 | 251 | 351 |\n| 4月 | 260 | 654 | 262 |\n| 5月 | 351 | 128 | 353 |\n| 6月 | 125 | 486 | 320 |\n| 7月 | 485 | 753 | 254 |\n| 8月 | 475 | 489 | 320 |\n| 9月 | 698 | 568 | 451 |\n| 10月 | 258 | 452 | 697 |\n| 11月 | 456 | 820 | 698 |\n| 12月 | 285 | 365 | 321 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/f4a3d63fc07fe6a3989122b74f96242b.png", "anno": "### 1月\n| | |\n| --- | --- |\n| 田园菇凉 | 6614 |\n| 以梦为马 | 6095 |\n| 花间集 | 5950 |\n| 雅阁 | 6697 |\n| 青矜 | 3221 |\n| 百惠 | 2764 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/9447f2ef690b60c2f4083a6837a7ff01.png", "anno": "| Number of frame | S1-Accuracy(%) | S2-Accuracy(%) | S3-Accuracy(%) |\n| --- | --- | --- | --- |\n| 8 | 88.6 | 87.3 | 88.1 |\n| 10 | 88.6 | 88.1 | 86.6 |\n| 12 | 89.6 | 87.8 | 88.1 |\n| 14 | 88.1 | 87.3 | 87.3 |\n| 16 | 88.1 | 88.1 | 88.1 |\n| 18 | 88.6 | 88.1 | 86.6 |\n| 20 | 91.0 | 88.1 | 88.1 |\n| 22 | 87.3 | 89.6 | 88.8 |\n| 24 | 87.3 | 88.8 | 85.8 |\n| 26 | 89.6 | 86.6 | 87.3 |\n| 28 | 91.0 | 88.8 | 86.6 |\n| 30 | 88.8 | 88.6 | 87.3 |\n| 32 | 88.8 | 85.1 | 88.1 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/dbe83c74b1100229b9a358ecd1752102.png", "anno": "| | % |\n| --- | --- |\n| 22-10 | 8.7% |\n| 22-11 | 4.8% |\n| 22-12 | 3% |\n| 23-01 | 4.2% |\n| 23-02 | 5.3% |\n| 23-03 | 6.6% |\n| 23-04 | 6.7% |\n| 23-05 | 1.5% |\n| 23-06 | -2.5% |\n| 23-07 | -0.7% |\n| 23-08 | 7.2% |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/b19274d2541878679b45279126fcb6d8.png", "anno": "| | Series 1 |\n| --- | --- |\n| Category1 | 275 |\n| Category2 | 745 |\n| Category3 | 410 |\n| Category4 | 196 |\n| Category5 | 849 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d22e52b6d7b801b7c6be310913574a58.png", "anno": "| | trace 0 | trace 1 |\n| --- | --- | --- |\n| 0 | 0.46 | 0.06 |\n| 1 | 0.23 | 0.28 |\n| 2 | 0.14 | 0.02 |\n| 3 | 0.92 | 0.24 |\n| 4 | 0.60 | 0.06 |\n| 5 | | 0.74 |\n| 6 | | 0.40 |\n| 7 | | 0.58 |\n| 8 | | 0.60 |\n| 9 | | 0.22 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/307d5a7584a45482d251b8493f83c132.png", "anno": "| | |\n| --- | --- |\n| Mon | 150 |\n| Tue | 230 |\n| Wed | 225 |\n| Thu | 220 |\n| Fri | 135 |\n| Sat | 145 |\n| Sun | 260 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7eb9ffb1ed45995d3a4defffcc59034c.png", "anno": "| | 2010 | 2011 | 2012 |\n| --- | --- | --- | --- |\n| 10 | 25500 | 28000 | 28100 |\n| 20 | 28000 | 23900 | 26000 |\n| 30 | 19000 | 18400 | 23000 |\n| 40 | 36000 | 41800 | 40500 |\n| 50 | 28700 | 32000 | |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/fb9fe4b8ad3d9077941606852499b7de.png", "anno": "| a/(°) | Base-C$ _{1} $/10$ ^{-3} $ | Case Ⅰ-C$ _{1} $/10$ ^{-3} $ |\n| --- | --- | --- |\n| -4 | 1.2 | 1.2 |\n| 0 | 1.5 | 1.3 |\n| 4 | 0.8 | 0.5 |\n| 7.5 | 0.5 | 0.1 |\n| 11 | 0.5 | 0.5 |\n| 13 | -0.1 | -0.1 |\n| 15 | -2.5 | 1.1 |\n| 17 | 3.6 | 9.2 |\n| 19 | 2.5 | 5.7 |\n| 21 | -0.4 | 9.1 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/05fcbca4d9e024cecb50e20f2696ca17.png", "anno": "| | new | old |\n| --- | --- | --- |\n| 0 | 0.2032 | 0.1985 |\n| 1 | 0.1931 | 0.2123 |\n| 2 | 0.2143 | 0.2114 |\n| 3 | 0.2079 | 0.2195 |\n| 4 | 0.2085 | 0.208 |\n| 5 | 0.2028 | 0.2015 |\n| 6 | 0.2079 | 0.2155 |\n| 7 | 0.2005 | 0.2092 |\n| 8 | 0.1988 | 0.1874 |\n| 9 | 0.1894 | 0.1981 |\n| 10 | 0.2073 | 0.217 |\n| 11 | 0.2082 | 0.2113 |\n| 12 | 0.2073 | 0.220 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/12da9a971690b4405835a63839e1f89e.png", "anno": "| Axis X | 蓝色方块曲线-Axis Y | 紫色菱形曲线-Axis Y | 绿色三角曲线-Axis Y | 红色圆点曲线-Axis Y |\n| --- | --- | --- | --- | --- |\n| 1 | 20 | 16 | 10 | 8 |\n| 2 | 22 | 19 | 16 | 12 |\n| 3 | 19 | 15 | 17 | 10 |\n| 4 | 24 | 22 | 15 | 12 |\n| 5 | 25 | 18 | 23 | 15 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7bfbbc3fd7c6c8cb5e074fb320749def.png", "anno": "| example | Dice-Dice Score(%) | HD95-Hausdorff Distance(mm) | IOU-IOU(%) |\n| --- | --- | --- | --- |\n| 1 | 82.85 | 4.26 | 82.88 |\n| 2 | 82.65 | 4.22 | 80.00 |\n| 3 | 82.90 | 4.32 | 84.96 |\n| 4 | 83.52 | 4.42 | 82.00 |\n| 5 | 82.49 | 4.66 | 82.25 |\n| 6 | 82.91 | 4.41 | 83.00 |\n| 7 | 82.78 | 4.21 | 82.88 |\n| 8 | 82.98 | 4.93 | 83.00 |\n| 9 | 82.80 | 4.95 | 79.00 |\n| 10 | 83.51 | 4.01 | 83.50 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/3d4c5f1674ad0692acd742bd886af4c3.png", "anno": "| | 304 SS-Weight (lb) | AISI 1045-Weight (lb) | AISI 4340-Weight (lb) | AISI 4140-Weight (lb) | A2 Tool-Weight (lb) |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 5 | 10.2 | 22.8 | 13.8 | 35 |\n| 2 | 11.5 | 11.2 | 19.7 | 5.5 | 29 |\n| 3 | 13.8 | 21.1 | 12.2 | 4 | 29 |\n| 4 | 13.9 | 21.1 | 15 | 13 | 5.5 |\n| 5 | 9.1 | 5 | 18 | 12 | 5.5 |\n| 6 | 20.9 | 5.1 | 4 | 12 | 5.3 |\n| 7 | 9.1 | 5.5 | 15 | 21.3 | 5.5 |\n| 8 | 9.1 | 7.2 | 6 | 9.8 | 3.5 |\n| 9 | 9.1 | 7.1 | 20.8 | 5.2 | 4.1 |\n| 10 | 11.5 | 7.1 | 9.1 | 5.2 | 3.5 |\n| 11 | 11.6 | 9.2 | 9 | 7.3 | 3.5 |\n| 12 | 3 | 7.5 | 13.2 | 7.5 | 4.5 |\n| 13 | 11.5 | 7.1 | 8 | 26.9 | 4.2 |\n| 14 | 11.5 | 7.2 | 13.1 | 26.9 | 4.5 |\n| 15 | 10.8 | 7.1 | 12 | 0 | 4.5 |\n| 16 | 10.9 | 7.2 | 21 | 0 | 4.2 |\n| 17 | 19.1 | 7.5 | 7.2 | 0 | 4.2 |\n| 18 | 22.2 | 7.3 | 7.1 | 0 | 4.2 |\n| 19 | 13 | 7.3 | 3.3 | 5.9 | 4.1 |\n| 20 | 13 | 7.5 | 7.2 | 7 | 4.1 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/460503e2bdfc8fc3c6d6ef884fa66e61.png", "anno": "| Time (day) | A-Relative Abundance | B-Relative Abundance | C-Relative Abundance |\n| --- | --- | --- | --- |\n| 1 | 21.8 | 20.2 | 16.7 |\n| 2 | 17.8 | 20.8 | 23.7 |\n| 3 | 21.2 | 28.7 | 21.8 |\n| 4 | 22.4 | 31.1 | 20.1 |\n| 5 | 20.5 | 19.5 | 23.3 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d07c058b690b153164aef97a50e79dbc.png", "anno": "### BL-4\n\n| | BASE+CGM | DACG |\n| --- | --- | --- |\n| 1 | 0.167 | 0.187 |\n| 2 | 0.177 | 0.197 |\n| 3 | 0.190 | 0.200 |\n| 4 | 0.180 | 0.198 |\n| 5 | 0.165 | 0.186 |\n| 6 | 0.157 | 0.177 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/95c031f4a051619b71375746644edc37.png", "anno": "| Time | Exp_Avg-Exp_Avg | Sham_Avg-Exp_Avg | Con_Avg-Exp_Avg |\n| --- | --- | --- | --- |\n| 3h | 13.0 | 14.4 | 23.7 |\n| 7h | 13.0 | 15.8 | 22.8 |\n| 24h | 11.4 | 13.1 | 27.8 |\n| 2d | 13.4 | 13.4 | 13.4 |\n| 3d | 10.5 | 15.8 | 21.8 |\n| 5d | 13.7 | 13.0 | 27.7 |\n| 7d | 13.7 | 14.8 | 22.8 |\n| 10d | 10.4 | 12.4 | 27.2 |\n| 14d | 10.7 | 17.2 | 19.4 |\n| 20d | 12.0 | 17.2 | 22.8 |\n| 28d | 12.4 | 17.4 | 30.3 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/25942187bf370590908cf8d4a76deda1.png", "anno": "| Time(day) | YPD-CMCase activity (U/mL) | YPD+tween 80-CMCase activity (U/mL) |\n| --- | --- | --- |\n| 1 | 0.6500 | 0.3800 |\n| 2 | 0.8100 | 0.9500 |\n| 3 | 0.8300 | 1.0100 |\n| 4 | 0.6800 | 1.1800 |\n| 5 | 0.7000 | 0.9700 |\n| 6 | 0.7700 | 0.9100 |\n| 7 | 0.7600 | 0.9500 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/0763371948ad0b512431afade749abf7.png", "anno": "| | Series 1 | Series 2 |\n| --- | --- | --- |\n| Category1 | 900 | 40 |\n| Category2 | 175 | 1000 |\n| Category3 | 800 | 350 |\n| Category4 | 150 | 336 |\n| Category5 | 400 | 476 |\n| Category6 | 230 | 513 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/b53f0e9930a3732e3874510986670ab7.png", "anno": "| Actinomycin D treatment | Red line-relative ratio | Gray line-relative ratio |\n| --- | --- | --- |\n| 0H | 1.00 | 1.00 |\n| 1H | 1.45 | 0.88 |\n| 2H | 0.82 | 0.55 |\n| 4H | 0.38 | 0.25 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/c77e0cad2fd85420ace55ac67a667df5.png", "anno": "| | |\n| --- | --- |\n| Mon | 150 |\n| Tue | 230 |\n| Wed | 224 |\n| Thu | 219 |\n| Fri | 135 |\n| Sat | 148 |\n| Sun | 260 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/6f5dcd2a77324a7497c9f6909eb28f17.png", "anno": "| | 绿色系列-值 | 蓝色系列-值 | 橙色系列-值 |\n| --- | --- | --- | --- |\n| 1900.0 | 48500 | 30000 | 4000 |\n| 1901.0 | 48500 | 47000 | 6000 |\n| 1902.0 | 41500 | 70500 | 9500 |\n| 1903.0 | 38000 | | |\n| 1904.0 | 40500 | | |\n| 1905.0 | 40000 | | |\n| 1906.0 | 38500 | | |\n| 1907.0 | 42500 | | |\n| 1908.0 | 45000 | | |\n| 1909.0 | 42000 | | |\n| 1910.0 | 46000 | | |\n| 1911.0 | 47000 | 40200 | 7500 |\n| 1912.0 | 44000 | 57000 | 12000 |\n| 1913.0 | 41000 | 77000 | 19000 |\n| 1914.0 | 39500 | 52500 | 46000 |\n| 1915.0 | 49000 | 19500 | 51100 |\n| 1916.0 | 37000 | 11000 | 29500 |\n| 1917.0 | 42000 | | |\n| 1918.0 | 43500 | | |\n| 1919.0 | 41500 | 16200 | 9800 |\n| 1920.0 | 47000 | 25000 | 8000 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/dd446dd951747c62d7c006b7c6dbdde0.png", "anno": "| LLaMA 2-7B | 青色五边形曲线 | 蓝色圆形曲线 | 红色圆形虚线曲线 | 黄色三角形曲线 |\n| --- | --- | --- | --- | --- |\n| 0.0 | 54 | 55 | 48 | 34 |\n| 0.1 | 76.5 | 75.5 | 64 | 40 |\n| 0.2 | 78.5 | 75 | 64 | 38 |\n| 0.3 | 72 | 76.5 | 63.5 | 39 |\n| 0.4 | 58 | 78 | 60 | 37 |\n| 0.5 | 79.5 | 76 | 65 | 40 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/1a5f93590ad0f7f363f3c7dbf84e6da1.png", "anno": "| Iterations(K) | Validation Loss | Validation Loss | Validation Loss | Validation Loss | Validation Loss |\n| --- | --- | --- | --- | --- | --- |\n| 10 | 0.520 | 0.500 | 0.484 | 0.475 | 0.470 |\n| 20 | 0.508 | 0.479 | 0.464 | 0.455 | 0.452 |\n| 40 | 0.487 | 0.465 | 0.450 | 0.442 | 0.437 |\n| 65 | 0.473 | 0.454 | 0.440 | 0.430 | 0.426 |\n| 90 | 0.466 | 0.448 | 0.433 | 0.424 | 0.419 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/e405526c684bc2c363682122fe88e644.png", "anno": "| Days | Predicted-log10(ENT)/CFU/100 mL | Measured-log10(ENT)/CFU/100 mL | log10(100)-log10(ENT)/CFU/100 mL|\n| --- | --- | --- | --- |\n| 1 | 1.20 | 1.32 | 2.00 |\n| 2 | 1.95 | 2.10 | 2.00 |\n| 3 | 1.38 | 1.70 | 2.00 |\n| 4 | 1.50 | 1.55 | 2.00 |\n| 5 | 1.74 | 1.84 | 2.00 |\n| 6 | 1.02 | 0.60 | 2.00 |\n| 7 | 1.00 | 1.65 | 2.00 |\n| 8 | 0.59 | 0.00 | 2.00 |\n| 9 | 0.32 | 0.00 | 2.00 |\n| 10 | 1.77 | 2.25 | 2.00 |\n| 11 | 0.19 | 0.00 | 2.00 |\n| 12 | 0.30 | 0.00 | 2.00 |\n| 13 | 1.55 | 1.53 | 2.00 |\n| 14 | 1.42 | 1.28 | 2.00 |\n| 15 | 0.02 | 0.00 | 2.00 |\n| 16 | 0.85 | 0.60 | 2.00 |\n| 17 | 0.54 | 0.60 | 2.00 |\n| 18 | 1.54 | 2.00 | 2.00 |\n| 19 | 0.18 | 0.49 | 2.00 |\n| 20 | 1.28 | 1.18 | 2.00 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d96b8ba3e4c1d3a8c13507de34439a1e.png", "anno": "### non harmful\n| Gender skintone | Sup - ImNet - hit rate | SSL - ImNet - hit rate | SSL - IG1B - hit rate | WSL - IG10B - hit rate |\n| --- | --- | --- | --- | --- |\n| female darker | 0.37 | 0.58 | 0.79 | 0.55 |\n| female lighter | 0.18 | 0.58 | 0.74 | 0.48 |\n| male darker | 0.30 | 0.32 | 0.40 | 0.32 |\n| male lighter | 0.17 | 0.44 | 0.44 | 0.25 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/98ec76ebccde83220c20fbac5e14a13e.png", "anno": "| | Cyan | Purple | Green | Red | Blue |\n| --- | --- | --- | --- | --- | --- |\n| 2000 | 0.50 | 0.40 | 0.30 | 0.20 | 0.10 |\n| 2001 | 0.60 | 0.50 | 0.40 | 0.30 | 0.20 |\n| 2002 | 0.65 | 0.35 | 0.45 | 0.35 | 0.15 |\n| 2003 | 0.20 | 0.40 | 0.20 | 0.40 | 0.05 |\n| 2004 | 0.35 | 0.25 | 0.35 | 0.45 | 0.10 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2c152f3643d59b5141d68a0052902e85.png", "anno": "| | Mon | Tue |\n| --- | --- | --- |\n| Mon | 150 | 50 |\n| Tue | 230 | 32 |\n| Wed | 225 | 25 |\n| Thu | 220 | 20 |\n| Fri | 136 | 38 |\n| Sat | 148 | 49 |\n| Sun | 260 | 61 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/6575ff1086fc4e09ca3d16105f098e95.png", "anno": "| | 2010 | 2011 | 2012 |\n| --- | --- | --- | --- |\n| 10 | 25300 | 28000 | 28300 |\n| 20 | 28000 | 24000 | 26400 |\n| 30 | 19000 | 18000 | 23000 |\n| 40 | 36000 | 42000 | 40300 |\n| 50 | 28500 | 32000 | |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/b97868ab40f056eddf5c22b5790bf075.png", "anno": "| Data Capacity | GeoReasoning-Accuracy | AutoGeo-Accuracy | GeoPeP-Accuracy | GeoGPT4V-Accuracy | Geo170K-Accuracy |\n| --- | --- | --- | --- | --- | --- |\n| 1k | 47.88 | 47.60 | 47.53 | 47.75 | 47.18 |\n| 3k | 47.78 | 47.54 | 47.17 | 48.00 | 47.60 |\n| 5k | 47.88 | 47.54 | 47.30 | 47.70 | 47.58 |\n| 7k | 48.20 | 47.83 | 48.17 | 47.37 | 47.67 |\n| 10k | 48.77 | 47.65 | 47.70 | 47.47 | 47.58 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/e7821bb544120312092f6a86fe94ca47.png", "anno": "| 尺度 | c-ITMDE | f-ITMDE |\n| --- | --- | --- |\n| 1 | 0 | 0 |\n| 2 | 0.0012 | 0.0014 |\n| 3 | 0.0026 | 0.0061 |\n| 4 | 0.0038 | 0.0034 |\n| 5 | 0.0063 | 0.0040 |\n| 6 | 0.0062 | 0.0040 |\n| 7 | 0.0047 | 0.0042 |\n| 8 | 0.0076 | 0.0028 |\n| 9 | 0.0058 | 0.0052 |\n| 10 | 0.0087 | 0.0051 |\n| 11 | 0.0083 | 0.0083 |\n| 12 | 0.0072 | 0.0120 |\n| 13 | 0.0158 | 0.0092 |\n| 14 | 0.0177 | 0.0280 |\n| 15 | 0.0091 | 0.0103 |\n| 16 | 0.0132 | 0.0067 |\n| 17 | 0.0071 | 0.0049 |\n| 18 | 0.0080 | 0.0083 |\n| 19 | 0.0094 | 0.0074 |\n| 20 | 0.0120 | 0.0090 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/f8411475bb44ccbfff3d31780c8850a4.png", "anno": "| | |\n| --- | --- |\n| Mon | 1600 |\n| Ture | 2280 |\n| Wed | 2220 |\n| Thu | 2180 |\n| Fri | 1400 |\n| Sat | 1520 |\n| Sun | 2400 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d2d6dd33c01eafe863a226fa138bc306.png", "anno": "| | -% |\n| --- | --- |\n| 10-Q4 | 2.50 |\n| 11-Q1 | 2.60 |\n| 11-Q2 | 2.70 |\n| 11-Q3 | 2.70 |\n| 11-Q4 | 2.70 |\n| 12-Q1 | 2.76 |\n| 12-Q2 | 2.73 |\n| 12-Q3 | 2.77 |\n| 12-Q4 | 2.75 |\n| 13-Q1 | 2.57 |\n| 13-Q2 | 2.59 |\n| 13-Q3 | 2.63 |\n| 13-Q4 | 2.68 |\n| 14-Q1 | 2.58 |\n| 14-Q2 | 2.62 |\n| 14-Q3 | 2.68 |\n| 14-Q4 | 2.70 |\n| 15-Q1 | 2.53 |\n| 15-Q2 | 2.51 |\n| 15-Q3 | 2.53 |\n| 15-Q4 | 2.54 |\n| 16-Q1 | 2.35 |\n| 16-Q2 | 2.27 |\n| 16-Q3 | 2.24 |\n| 16-Q4 | 2.22 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/1fa276f5628cf4136324a0541adc60c0.png", "anno": "### AGB\n| | 青色 | 紫色 | 绿色 | 红色 | 蓝色 |\n| --- | --- | --- | --- | --- | --- |\n| 2000 | 0.55 | 0.45 | 0.35 | 0.25 | 0.15 |\n| 2001 | 0.65 | 0.55 | 0.45 | 0.35 | 0.25 |\n| 2002 | 0.5 | 0.6 | 0.5 | 0.4 | 0.2 |\n| 2003 | 0.25 | 0.25 | 0.15 | 0.35 | 0.3 |\n| 2004 | 0.3 | 0.4 | 0.2 | 0.1 | 0.35 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/cd35a78a93be51ed4e62b9eb07fad765.png", "anno": "| Time (day) | A-Relative Abundance | B-Relative Abundance | C-Relative Abundance |\n| --- | --- | --- | --- |\n| 1 | 21.8 | 20.1 | 16.6 |\n| 2 | 17.9 | 20.9 | 23.7 |\n| 3 | 21.2 | 28.7 | 21.7 |\n| 4 | 22.4 | 31.1 | 20.1 |\n| 5 | 20.5 | 19.5 | 23.3 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4e6b970b40f6c12be0519ce7da70f182.png", "anno": "### LLaMA2-7b\n| # of Samples | FT-Mean Score | LORA-Mean Score | DORA-Mean Score | OUR-Mean Score |\n| --- | --- | --- | --- | --- |\n| 32K | 0.716 | 0.584 | 0.57 | 0.728 |\n| 72K | 0.716 | 0.724 | 0.72 | 0.73 |\n| 96K | 0.716 | 0.64 | 0.638 | 0.731 |\n| 129K | 0.715 | 0.724 | 0.72 | 0.731 |\n| 160K | 0.72 | 0.719 | 0.717 | 0.73 |\n| 194K | 0.716 | 0.612 | 0.60 | 0.728 |\n| 225K | 0.716 | 0.728 | 0.726 | 0.731 |\n| 256K | 0.717 | 0.661 | 0.66 | 0.732 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4a4cbcb44d2bc58a47c01f28f95aa5be.png", "anno": "| A | 1-1 | 2-1 | 3-1 | 4-1 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.86 | 0.77 | 1.05 | 1.03 |\n| 2 | 1.39 | 1.19 | 1.21 | 1.44 |\n| 3 | 1.44 | 1.19 | 1.21 | 1.09 |\n| 4 | 1.32 | 1.36 | 1.20 | 1.48 |\n| 5 | 1.03 | 1.03 | 1.01 | 0.94 |\n| 6 | 1.01 | 1.14 | 1.23 | 1.08 |\n| 7 | 1.22 | 1.24 | 1.26 | 1.19 |\n| 8 | 1.21 | 1.25 | 1.28 | 1.28 |\n| 9 | 1.00 | 1.08 | 1.06 | 0.96 |\n| 10 | 1.01 | 1.22 | 1.00 | 1.17 |\n| 11 | 1.13 | 0.99 | 1.10 | 0.97 |\n| 12 | 1.05 | 1.05 | 1.06 | 1.37 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/91d804c29444f046d2bda5834b1b9cf9.png", "anno": "| | |\n| --- | --- |\n| 05-10 | 1760 |\n| 05-17 | 1640 |\n| 05-24 | 2560 |\n| 05-31 | 2060 |\n| 06-07 | 2720 |\n| 06-14 | 2190 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2b7afce12a8c62c1dd50869038d8d525.png", "anno": "| | Series 1 | Series 2 | Series 3 |\n| --- | --- | --- | --- |\n| Category1 | 120 | 310 | 590 |\n| Category2 | 200 | 390 | 570 |\n| Category3 | 240 | 400 | 600 |\n| Category4 | 290 | 560 | 710 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/f3c719a85253d216c0f0d6ff71e52daa.png", "anno": "| | company A-waste in tonnes | company B-waste in tonnes | company C-waste in tonnes |\n| --- | --- | --- | --- |\n| 2000 | 12 | 8 | 4 |\n| 2005 | 11 | 10 | 6 |\n| 2010 | 9 | 7 | 7 |\n| 2015 | 8 | 3 | 10 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/c1507d7a916dd18fef385f81e0ef033d.png", "anno": "| Wavelength(nm) | HYCs-Fluorescence intensity | Cntrol-Fluorescence intensity | AXOs-Fluorescence intensity | BLs-Fluorescence intensity | TTXs-Fluorescence intensity |\n| --- | --- | --- | --- | --- | --- |\n| 306 | 322.5 | 740.9 | 814.3 | 942.1 | 907.0 |\n| 325 | 523.7 | 1593.5 | 2000.0 | 2168.3 | 1957.6 |\n| 350 | 664.3 | 2229.1 | 2631.4 | 2819.4 | 2746.3 |\n| 375 | 395.9 | 1303.0 | 1536.2 | 1660.7 | 1584.0 |\n| 400 | 182.0 | 568.5 | 590.8 | 584.4 | 571.6 |\n| 425 | 86.2 | 207.6 | 172.5 | 182.0 | 182.0 |\n| 450 | 63.9 | 70.3 | 60.8 | 70.3 | 73.4 |\n| 475 | 41.5 | 35.1 | 28.7 | 38.3 | 28.7 |\n| 500 | 19.4 | 28.7 | 25.5 | 22.6 | 22.6 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/58f0777c8f4c807334d36fc1427f6aa2.png", "anno": "| date | |\n| --- | --- |\n| Jan 2015 | 1.00 |\n| 12 | 0.97 |\n| 19 | 0.96 |\n| 26 | 1.12 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/683c5bf1594d34fb04ebd1aa943f1c32.png", "anno": "| A | B-B | C-B | D-B |\n| --- | --- | --- | --- |\n| 1 | 34 | 53 | 23 |\n| 2 | 54 | 32 | 34 |\n| 3 | 56 | 56 | 45 |\n| 4 | 32 | 23 | 37 |\n| 5 | 37 | 35 | 27 |\n| 6 | 45 | 39 | 43 |\n| 7 | 29 | 25 | 39 |\n| 8 | 24 | 46 | 36 |\n| 9 | 53 | 43 | 28 |\n| 10 | 34 | 44 | 46 |\n| 11 | 37 | 31 | 43 |\n| 12 | 31 | 54 | 47 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/e82f04ed519c9ebca09527ff6d872d16.png", "anno": "| Vehicle order in the queue | Cycle 1-Headway(s) | Cycle 2-Headway(s) | Cycle 3-Headway(s) | Cycle 4-Headway(s) | Cycle 5-Headway(s) |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1.24 | 2.75 | 2.75 | 3.1 | 3.45 |\n| 2 | 1.15 | 3.15 | 3.35 | 2.2 | 3.15 |\n| 3 | 1.2 | 1.8 | 2.55 | 3.1 | 2.15 |\n| 4 | 2.05 | 2.38 | 2.88 | 1.8 | 1.8 |\n| 5 | 2.1 | 2.82 | 2.5 | 1.9 | 1.67 |\n| 6 | 1.9 | 2.2 | 2.02 | 2.15 | 1.65 |\n| 7 | 1.4 | 2.02 | 1.7 | 1.6 | 2.72 |\n| 8 | 2.18 | 1.4 | 1.54 | 1.8 | 2.55 |\n| 9 | 1.55 | 2.65 | 1.7 | 1.9 | 1.74 |\n| 10 | 1.25 | 2.2 | 1.85 | 1.8 | 2.38 |\n| 11 | 1.85 | 3.7 | | 1.7 | 3.1 |\n| 12 | 1.5 | 1.72 | | 1.2 | 2.1 |\n| 13 | 1.75 | 1.9 | | 2.37 | 2.2 |\n| 14 | 1.4 | 1.28 | | 1.7 | 1.63 |\n| 15 | 1.9 | 1.32 | | 1.8 | 1.76 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/f9eba3eab093fef06eae951b5215230b.png", "anno": "| | Anti-HBc-AUC | Anti-HBs-AUC |\n| --- | --- | --- |\n| 6 | 0.772 | 0.887 |\n| 12 | 0.698 | 0.880 |\n| 18 | 0.669 | 0.809 |\n| 24 | 0.715 | 0.795 |\n| 30 | 0.637 | 0.758 |\n| 36 | 0.790 | 0.770 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/5e7d3168f2389cb7fbe6c26a4520ce75.png", "anno": "| | Evol-Instruct-Random-1st-turn MT-Bench Score | Evol-Instruct-Greedy-1st-turn MT-Bench Score | OpenHermes-Diversity-1st-turn MT-Bench Score | OpenHermes-Unsupervised-1st-turn MT-Bench Score |\n| --- | --- | --- | --- | --- |\n| 3 | 7.0 | 7.0 | 6.72 | |\n| 5 | 6.8 | 7.52 | 6.92 | |\n| 6 | | | | 7.16 |\n| 8 | | | | 7.03 |\n| 10 | 6.97 | 7.03 | 6.78 | |\n| 13 | | | | 7.52 |\n| 20 | 7.22 | 7.15 | 6.61 | |\n| 23 | | | | 7.22 |\n| 30 | 7.16 | 7.53 | 6.38 | |\n| 33 | | | | 7.27 |\n| 40 | 7.32 | 7.42 | 6.82 | |\n| 43 | | | | 7.28 |\n| 50 | 7.18 | 7.24 | 6.57 | |\n| 53 | | | | 7.47 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/f861ce6f6b456b5fdcf05b6eaed39275.png", "anno": "### Line Plot\n\n| XAxis | Samp1-YAxis | Samp2-YAxis | Samp3-YAxis | Samp4-YAxis |\n| --- | --- | --- | --- | --- |\n| 1 | 55 | 8 | 30 | 40 |\n| 2 | 20 | 42 | 50 | 10 |\n| 3 | 35 | 25 | 12 | 20 |\n| 4 | 15 | 55 | 27 | 6 |\n| 5 | 15 | 2 | 25 | 10 |\n| 6 | 6 | 10 | 23 | 30 |\n| 7 | 15 | 8 | 26 | 20 |\n| 8 | 6 | 13 | 20 | 30 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/8246b4ec137ae963c101b046a99ead04.png", "anno": "| | Original |\n| --- | --- |\n| 0 | -0.3 |\n| 1 | 0.1 |\n| 2 | 0.2 |\n| 3 | -0.9 |\n| 4 | 0.6 |\n| 5 | -1.1 |\n| 6 | -0.2 |\n| 7 | 0.8 |\n| 8 | -1.2 |\n| 9 | -0.9 |\n| 10 | -0.6 |\n| 11 | -1.0 |\n| 12 | -0.8 |\n| 13 | -0.1 |\n| 14 | -1.0 |\n| 15 | 1.2 |\n| 16 | -0.6 |\n| 17 | 1.4 |\n| 18 | 1.5 |\n| 19 | 0.7 |\n| 20 | -1.9 |\n| 21 | -1.4 |\n| 22 | -0.3 |\n| 23 | -1.5 |\n| 24 | 1.2 |\n| 25 | -1.8 |\n| 26 | 0.3 |\n| 27 | -0.4 |\n| 28 | 1.1 |\n| 29 | -1.4 |\n| 30 | 1.0 |\n| 31 | 0.2 |\n| 32 | -0.6 |\n| 33 | 0.7 |\n| 34 | 1.3 |\n| 35 | -0.9 |\n| 36 | -0.6 |\n| 37 | -2.1 |\n| 38 | -0.8 |\n| 39 | -1.0 |\n| 40 | 0.1 |\n| 41 | 0.1 |\n| 42 | -0.4 |\n| 43 | -0.7 |\n| 44 | 0.9 |\n| 45 | 0.1 |\n| 46 | 1.6 |\n| 47 | 0.9 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/98f160ea9a658806080cff50a81ed26b.png", "anno": "| | MSFT-Monthly return (%) | V-Monthly return (%) | WMT-Monthly return (%) |\n| --- | --- | --- | --- |\n| 1 | 19 | 12 | -11 |\n| 2 | 1 | 2 | 3 |\n| 3 | 2 | -2 | 4 |\n| 4 | -1 | -4 | 8 |\n| 5 | -8 | -3 | 0 |\n| 6 | 9 | 6 | 3 |\n| 7 | -10 | 1 | -2 |\n| 8 | 6 | 2 | 6 |\n| 9 | -4 | -7 | 3 |\n| 10 | 11 | 5 | 0 |\n| 11 | 1 | 3 | -2 |\n| 12 | 0 | 2 | 1 |\n| 13 | 4 | -1 | -3 |\n| 14 | 1 | -7 | 1 |\n| 15 | 3 | 1 | -2 |\n| 16 | 4 | 6 | -4 |\n| 17 | -1 | 6 | 6 |\n| 18 | 3 | 1 | 2 |\n| 19 | 4 | 2 | 4 |\n| 20 | 2 | 4 | 5 |\n| 21 | -1 | -2 | -4 |\n| 22 | 5 | 6 | 5 |\n| 23 | 0 | 4 | -2 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9843800d2c5cf264352c487f3c1c31ae.png", "anno": "### b\n\n| | Exosomal PD-L1-Exosomal PD-L1 (ng/ml) | PD-$ 1^{+} $Ki-$ 67^{+} $CD8- PD-$ 1^{+} $Ki-$ 67^{+} $CD8 (%) |\n| --- | --- | --- |\n| 0 | 1.2 | 6.0% |\n| 3 | 3.2 | 19.4% |\n| 6 | 5.8 | 14.1% |\n| 9 | 3.6 | 9.6% |\n| 12 | 3.7 | 19.2% |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/dff69c4d3f6b877b8eb7aca0fcfe3c6c.png", "anno": "| | 0 | 1 |\n| --- | --- | --- |\n| 0 | -1.0 | -1.2 |\n| 1 | -1.58 | 0.85 |\n| 2 | 0.55 | 0.69 |\n| 3 | 0.95 | -1.25 |\n| 4 | 0.88 | 0.85 |\n| 5 | -1.25 | -1.32 |\n| 6 | -0.5 | 0.94 |\n| 7 | -1.12 | 1.38 |\n| 8 | -0.15 | 0.44 |\n| 9 | -0.48 | -1.55 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/0a7fd884f6c8f4c3380e9769f43dbe2f.png", "anno": "### Precipitation\n\n| | 浅蓝色 | 紫色 | 绿色 | 红色 | 深蓝色 |\n| --- | --- | --- | --- | --- | --- |\n| 2000 | 0.55 | 0.45 | 0.35 | 0.25 | 0.15 |\n| 2001 | 0.65 | 0.55 | 0.45 | 0.35 | 0.25 |\n| 2002 | 0.50 | 0.60 | 0.50 | 0.40 | 0.20 |\n| 2003 | 0.25 | 0.25 | 0.15 | 0.35 | 0.30 |\n| 2004 | 0.30 | 0.40 | 0.20 | 0.10 | 0.35 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/6e1523056640077171884cff38b7d00f.png", "anno": "| Detection distance/m | Particle size >30mm(Point 1)-Average temperature value in line temperature measurement mode/°C | Particle size 20~30mm(Point 1)-Average temperature value in line temperature measurement mode/°C | Particle size >30mm(Point 2)-Average temperature value in line temperature measurement mode/°C | Particle size 20~30mm(Point 2)-Average temperature value in line temperature measurement mode/°C |\n| --- | --- | --- | --- | --- |\n| 1 | 3.4 | 5.0 | 3.0 | 3.7 |\n| 2 | 2.9 | 9.6 | 6.0 | 2.2 |\n| 3 | 2.8 | 6.0 | 3.0 | 3.9 |\n| 4 | 2.8 | 5.8 | 2.8 | 4.4 |\n| 5 | 3.1 | 4.7 | 3.1 | 3.0 |\n| 6 | 3.2 | 4.9 | 3.2 | 3.3 |\n| 7 | 2.6 | 10.0 | 3.0 | 4.4 |\n| 8 | 3.2 | 3.3 | 3.2 | 3.5 |\n| 9 | 2.9 | 1.6 | 3.0 | 2.6 |\n| 10 | 2.7 | 2.3 | 2.7 | 2.6 |\n| 11 | 3.0 | 3.2 | 3.0 | 2.4 |\n| 12 | 2.5 | 2.8 | 2.7 | 2.6 |\n| 13 | 2.5 | 2.8 | 2.5 | 2.5 |", "chart_type": "折线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/619aeda7f49e5294b91e06a53268d57a.png", "anno": "### 图2-5 日本的人口与经济增长（1870—1994年）\n\n| (年) | 实际GDP | 人口 |\n| --- | --- | --- |\n| 1870 | 63 | 63 |\n| 1880 | 93 | 93 |\n| 1890 | 91 | 100 |\n| 1900 | 100 | 100 |\n| 1910 | 110 | 110 |\n| 1920 | 160 | 140 |\n| 1930 | 200 | 155 |\n| 1940 | 312 | 180 |\n| 1950 | 270 | 190 |\n| 1960 | 550 | 200 |\n| 1970 | 1580 | 230 |\n| 1980 | 2500 | 260 |\n| 1990 | 3700 | 300 |\n| 1994 | 3750 | 300 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/19d333f85f9c49c62673c9b621c06c4a.png", "anno": "### 图 5-6 EVA 中 VA 比例与 $ T_{g} $ 的关系\n\n| 醋酸乙烯比较例，% | $ T_{E} $,℃ |\n| --- | --- |\n| 0% | -24 |\n| 20% | -24 |\n| 40% | -24 |\n| 60% | -20 |\n| 80% | 8 |\n| 100% | 38 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/faec7da6c858d41f0e5fd2f33489f9e9.png", "anno": "折线图1(0,0),(0,0)\n\n| | 阶段 | 债务总额 (占GDP的比例) (右轴) | 偿债总额 (占GDP的比例) (左轴) |\n| --- | --- | --- | --- |\n| -60 | 周期的早期阶段(1) | 206.0% | 50.0% |\n| -48 | 周期的早期阶段(1) | 212.0% | 51.7% |\n| -36 | 泡沫阶段(2) | 221.0% | 54.5% |\n| -24 | 泡沫阶段(2) | 232.0% | 57.5% |\n| -12 | 泡沫阶段(2) | 244.0% | 61.0% |\n| 0 | 顶部(3) | 65% | 262.0% |\n| 12 | 萧条阶段(4) | 286.0% | 65.0% |\n| 24 | 萧条阶段(4) | 294.0% | 64.0% |\n| 36 | 萧条阶段(4) | 308.0% | 63.8% |\n| 48 | 和谐的去杠杆化(5) | 308.0% | 62.8% |\n| 60 | 和谐的去杠杆化(5) | 301.0% | 60.3% |\n| 72 | 推绳子(6) | 292.0% | 58.1% |\n| 84 | 正常化(7) | 280.0% | 56.9% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/31cb3f0e79c268cd96b7824326dce920.png", "anno": "### 图14 2015~2065年中国人口抚养比变化趋势\n\n| (年份) | 总抚养比-抚养比 | 老年抚养比-抚养比 | 少儿抚养比-抚养比 |\n| --- | --- | --- | --- |\n| 2015 | 37 | 13 | 24 |\n| 2020 | 42 | 17 | 25 |\n| 2025 | 43 | 20 | 23 |\n| 2030 | 46 | 24 | 22 |\n| 2035 | 52 | 31 | 21 |\n| 2040 | 58 | 37 | 21 |\n| 2045 | 60 | 39 | 21 |\n| 2050 | 63 | 41 | 22 |\n| 2055 | 71 | 48 | 23 |\n| 2060 | 74 | 51 | 23 |\n| 2065 | 72 | 50 | 22 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/912b83c6b67de4c55a00066d4ae49048.png", "anno": "| 月份 | 收入-金额/万元 | 支出-金额/万元 |\n| --- | --- | --- |\n| 1 | 215 | 175 |\n| 2 | 300 | 205 |\n| 3 | 320 | 320 |\n| 4 | 480 | 400 |\n| 5 | 450 | 510 |\n| 6 | 480 | 420 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/f7079ea9be351bfb9cf2eb922b7a8aef.png", "anno": "| 月份 | 降水量/mm |\n| --- | --- |\n| 1 | 15 |\n| 2 | 23 |\n| 3 | 50 |\n| 4 | 48 |\n| 5 | 34 |\n| 6 | 34 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/143ac331a65a772a1476e41640777b8c.png", "anno": "### 2001—2010 年上海死亡人口数统计图\n\n| 年份 | 人口数/万人 |\n| --- | --- |\n| 2001 | 9.34 |\n| 2002 | 9.67 |\n| 2003 | 10.07 |\n| 2004 | 9.65 |\n| 2005 | 10.23 |\n| 2006 | 9.80 |\n| 2007 | 10.22 |\n| 2008 | 10.70 |\n| 2009 | 10.67 |\n| 2010 | 10.87 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/974759c5861e6055d6dbede9644fa6d8.png", "anno": "### 1990—2010年年人均支出和年人均食品支出如下图所示。\n| 年份 | 年人均支出-金额/元 | 年人均食品支出-金额/元 |\n| --- | --- | --- |\n| 1990 | 800 | 400 |\n| 1995 | 2000 | 900 |\n| 2000 | 4000 | 1600 |\n| 2005 | 4593 | 2324 |\n| 2010 | 5612 | 2831 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/00071c7ee4c728c5db75c4f7420f3456.png", "anno": "### 1926～1946年凯恩斯的收益与指数的比较\n\n| （年） | 国王学院基金 | 英国市场指数 |\n| --- | --- | --- |\n| 1926 | 100 | 110 |\n| 1927 | 130 | 150 |\n| 1928 | 170 | 160 |\n| 1929 | 180 | 160 |\n| 1930 | 120 | 120 |\n| 1931 | 80 | 100 |\n| 1932 | 150 | 140 |\n| 1933 | 200 | 180 |\n| 1934 | 300 | 200 |\n| 1935 | 380 | 230 |\n| 1936 | 480 | 250 |\n| 1937 | 500 | 260 |\n| 1938 | 380 | 230 |\n| 1939 | 370 | 220 |\n| 1940 | 390 | 200 |\n| 1941 | 450 | 210 |\n| 1942 | 520 | 250 |\n| 1943 | 800 | 300 |\n| 1944 | 1000 | 360 |\n| 1945 | 1250 | 430 |\n| 1946 | 1300 | 450 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/3bbdcdc8024eb4b98260e55699b882ec.png", "anno": "### 下面是张军和李强400米赛跑的情况的折线统计图.\n\n| 时间/秒 | 张军-路程/米 | 李强-路程/米 |\n| --- | --- | --- |\n| 0 | 0 | 0 |\n| 10 | 65 | 50 |\n| 20 | 137 | 100 |\n| 30 | 200 | 150 |\n| 40 | 235 | 185 |\n| 50 | 265 | 225 |\n| 60 | 300 | 260 |\n| 70 | 335 | 300 |\n| 80 | 365 | 400 |\n| 90 | 400 | |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/50f8194d41bb5e6f098e677e4b15f4e8.png", "anno": "### 2020年2.15~2.20治愈病例\n| | |\n| --- | --- |\n| 2.15 | 1323人 |\n| 2.16 | 1425人 |\n| 2.17 | 1701人 |\n| 2.18 | 1824人 |\n| 2.19 | 1779人 |\n| 2.20 | 2109人 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b309cb9c75704fa162638c081b604c4d.png", "anno": "### 图1-5 中国与英国人均GDP水平的比较，1700-1998\n\n| | 中国 | 英国 |\n| --- | --- | --- |\n| 1700 | 800 | 2000 |\n| 1750 | 800 | 2400 |\n| 1800 | 800 | 3000 |\n| 1850 | 780 | 4800 |\n| 1900 | 780 | 7000 |\n| 1950 | 760 | 9000 |\n| 1998 | 6000 | 38000 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2c7e9cc17d7adc9cb493cb3970d79d0f.png", "anno": "### 图 14 2015~2065 年中国人口抚养比变化趋势\n\n| (年份) | 总抚养比-抚养比 | 老年抚养比-抚养比 | 少儿抚养比-抚养比 |\n| --- | --- | --- | --- |\n| 2015 | 38 | 13 | 24 |\n| 2020 | 42 | 17 | 24 |\n| 2025 | 43 | 19 | 23 |\n| 2030 | 47 | 25 | 22.5 |\n| 2035 | 52 | 30 | 22 |\n| 2040 | 58.5 | 36 | 22 |\n| 2045 | 61 | 38 | 22 |\n| 2050 | 63 | 42 | 22.3 |\n| 2055 | 72 | 49 | 22.5 |\n| 2060 | 75 | 52 | 23 |\n| 2065 | 74 | 51 | 22.6 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/9db33261d96758b9e3d6f42a77a22674.png", "anno": "| 年份 | 吸烟-人数/人 | 锻炼-人数/人 |\n| --- | --- | --- |\n| 2013 | 90 | 20 |\n| 2014 | 80 | 38 |\n| 2015 | 52 | 82 |\n| 2016 | 32 | 90 |\n| 2017 | 15 | 93 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/55ba8ccc6d652f166fa4fa0dd51f8f16.png", "anno": "| 年龄 | 张明-身高/cm | 李楠-身高/cm |\n| --- | --- | --- |\n| 6 | 120 | 117 |\n| 7 | 125 | 122 |\n| 8 | 129 | 126 |\n| 9 | 134 | 132 |\n| 10 | 138 | 138 |\n| 11 | 144 | 146 |\n| 12 | 150 | 153 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/00f335ea27ca79fe1600bf45d7f86939.png", "anno": "| 钩码个数 | 弹簧拉伸长度/cm |\n| --- | --- |\n| 0 | 0.8 |\n| 1 | 2.2 |\n| 2 | 4 |\n| 3 | 6 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2b21f5867c68af61e5f27c32d9785ad2.png", "anno": "### 图33 模拟的人均GDP：欧洲、意大利和英国，1300—1800年\n\n| | 欧洲 | 意大利 | 英国 |\n| --- | --- | --- | --- |\n| 1300 | 53.1 | 68.7 | 28.8 |\n| 1310 | 53.8 | 69.4 | 28.6 |\n| 1320 | 55.4 | 70.1 | 29.4 |\n| 1330 | 57.1 | 70.6 | 31.0 |\n| 1340 | 58.3 | 70.7 | 31.5 |\n| 1350 | 60.5 | 71.2 | 34.1 |\n| 1360 | 63.8 | 76.1 | 37.4 |\n| 1370 | 66.3 | 80.9 | 37.6 |\n| 1380 | 68.2 | 84.1 | 39.1 |\n| 1390 | 69.5 | 87.0 | 39.8 |\n| 1400 | 71.0 | 90.1 | 41.0 |\n| 1410 | 71.1 | 91.7 | 42.9 |\n| 1420 | 71.1 | 93.2 | 44.6 |\n| 1430 | 71.2 | 94.3 | 45.9 |\n| 1440 | 71.9 | 94.3 | 47.3 |\n| 1450 | 72.2 | 93.1 | 48.2 |\n| 1460 | 70.5 | 89.2 | 48.2 |\n| 1470 | 73.8 | 85.1 | 48.2 |\n| 1480 | 66.4 | 81.7 | 48.2 |\n| 1490 | 65.1 | 78.4 | 48.8 |\n| 1500 | 63.7 | 75.6 | 47.8 |\n| 1510 | 63.4 | 73.2 | 46.6 |\n| 1520 | 63.4 | 71.3 | 45.6 |\n| 1530 | 63.4 | 69.7 | 45.1 |\n| 1540 | 63.4 | 68.1 | 44.5 |\n| 1550 | 63.9 | 66.8 | 42.7 |\n| 1560 | 64.2 | 65.6 | 43.5 |\n| 1570 | 64.8 | 64.8 | 42.4 |\n| 1580 | 65.2 | 64.1 | 41.2 |\n| 1590 | 65.9 | 63.9 | 39.8 |\n| 1600 | 66.6 | 63.7 | 41.1 |\n| 1610 | 66.6 | 63.6 | 41.7 |\n| 1620 | 66.6 | 63.6 | 43.1 |\n| 1630 | 66.6 | 63.6 | 45.3 |\n| 1640 | 66.6 | 63.6 | 47.0 |\n| 1650 | 66.6 | 63.6 | 49.6 |\n| 1660 | 66.6 | 63.6 | 52.4 |\n| 1670 | 66.6 | 63.6 | 56.3 |\n| 1680 | 66.6 | 63.6 | 60.0 |\n| 1690 | 66.6 | 63.6 | 63.6 |\n| 1700 | 66.6 | 63.4 | 66.6 |\n| 1710 | 66.0 | 62.9 | 69.7 |\n| 1720 | 65.4 | 62.2 | 72.5 |\n| 1730 | 65.0 | 61.7 | 77.3 |\n| 1740 | 64.5 | 61.1 | 80.0 |\n| 1750 | 63.9 | 60.6 | 83.0 |\n| 1760 | 63.0 | 60.0 | 85.4 |\n| 1770 | 62.3 | 59.4 | 89.3 |\n| 1780 | 61.5 | 58.9 | 92.9 |\n| 1790 | 60.6 | 58.2 | 97.0 |\n| 1800 | 59.7 | 57.8 | 100.2 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/072d9b35375e25937dfd1a0de59057c2.png", "anno": "| （年） | 进出口总额-（亿元） | 进口总额-（亿元） | 出口总额-（亿元） |\n| --- | --- | --- | --- |\n| 1981 | 700 | 350 | 350 |\n| 1982 | 800 | 400 | 400 |\n| 1983 | 900 | 400 | 500 |\n| 1984 | 1100 | 500 | 600 |\n| 1985 | 1800 | 1000 | 800 |\n| 1986 | 2400 | 1400 | 1000 |\n| 1987 | 2900 | 1600 | 1300 |\n| 1988 | 3600 | 1900 | 1700 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/4f345e4beafc90e6c483ba45ff9be644.png", "anno": "### 甲\n| 降水历时/min | 直线坡面-产流量/($ m^{3}\\cdot hm^{-2}\\cdot s^{-1} $) | 人工锄耕-产流量/($ m^{3}\\cdot hm^{-2}\\cdot s^{-1} $) | 人工掏挖-产流量/($ m^{3}\\cdot hm^{-2}\\cdot s^{-1} $) | 等高耕作-产流量/($ m^{3}\\cdot hm^{-2}\\cdot s^{-1} $) |\n| --- | --- | --- | --- | --- |\n| 6 | 0 | 0 | 0 | 0 |\n| 12 | 0.069 | 0.042 | 0.033 | 0.027 |\n| 18 | 0.088 | 0.072 | 0.068 | 0.034 |\n| 24 | 0.089 | 0.08 | 0.073 | 0.052 |\n| 30 | 0.091 | 0.084 | 0.073 | 0.053 |\n| 36 | 0.09 | 0.084 | 0.076 | 0.054 |\n| 42 | 0.093 | 0.088 | 0.08 | 0.06 |\n| 48 | 0.091 | 0.084 | 0.078 | 0.062 |\n| 54 | 0.094 | 0.09 | 0.078 | 0.063 |\n| 60 | 0.097 | 0.09 | 0.081 | 0.064 |\n| 66 | 0.098 | 0.092 | 0.08 | 0.065 |\n| 72 | 0.11 | 0.095 | 0.08 | 0.66 |\n| 78 | 0.097 | 0.094 | 0.08 | 0.072 |\n| 84 | 0.10 | 0.097 | 0.081 | 0.07 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d13f3ef287c900eb8266efe53eb2d431.png", "anno": "| 碱化度B | $ \\mathrm{cAl_{m}} $-含量（%） | $ \\mathrm{gAl_{m}} $-含量（%） | $ \\mathrm{cAl_{13}} $-含量（%） | $ \\mathrm{gAl_{13}} $-含量（%） | $ \\mathrm{cAl_{2}} $-含量（%） | $ \\mathrm{gAl_{2}} $-含量（%） | $ \\mathrm{cAl_{un}} $-含量（%） | $ \\mathrm{gAl_{un}} $-含量（%） |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.5 | 55 | 63 | 25 | 21 | 5 | 5 | 15 | 12 |\n| 1.0 | 43 | 43 | 43 | 34 | 4 | 4 | 12 | 19 |\n| 1.5 | 29 | 31 | 60 | 49 | 4 | | 8 | 19 |\n| 2.0 | 13 | 16 | 66 | 60 | | | 14 | 20 |\n| 2.5 | 0 | 3 | 43 | 65 | | | 51 | 26 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/9d7b6b97a560b5e11a4c5333906b19a4.png", "anno": "### 巴西最富有的10%的人口的总收入份额\n| | |\n| --- | --- |\n| 1989 | 50% |\n| 1990 | 49.5% |\n| 1991 | 48.8% |\n| 1992 | 48.4% |\n| 1993 | 48% |\n| 1994 | 47.8% |\n| 1995 | 47.5% |\n| 1996 | 47.2% |\n| 1997 | 47.3% |\n| 1998 | 47.2% |\n| 1999 | 47% |\n| 2000 | 47.1% |\n| 2001 | 47.1% |\n| 2002 | 46.5% |\n| 2003 | 45.7% |\n| 2004 | 45% |\n| 2005 | 44.8% |\n| 2006 | 44.2% |\n| 2007 | 43.3% |\n| 2008 | 42.8% |\n| 2009 | 42.3% |\n| 2010 | 42% |\n| 2011 | 41.8% |\n| 2012 | 41.7% |\n| 2013 | 41.8% |\n| 2014 | 40.8% |\n| 2015 | 41% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/ed40ad5b0075b16e3145cd1d6b5e195a.png", "anno": "| 儿童年龄（年） | 儿童伙伴-观察的百分比 | 成人伙伴-观察的百分比 |\n| --- | --- | --- |\n| 1~2 | 29 | 54 |\n| 3~4 | 45 | 27 |\n| 5~6 | 56 | 21 |\n| 7~8 | 70 | 12 |\n| 9~10 | 63 | 17 |\n| 11~12 | 60 | 5 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/17df61097044bb14a5a4f4a651149bdf.png", "anno": "### 年月平均气温统计图\n\n| 月份/月 | 温度/$ ^{\\circ}C $ |\n| --- | --- |\n| 1 | 0 |\n| 2 | 5 |\n| 3 | 12 |\n| 4 | 16 |\n| 5 | 23 |\n| 6 | 28 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/18ed2cefae90ef88a46e3e86b7354d09.png", "anno": "### 图3.10.9 镍产量增长曲线\n\n| 年份(年) | 产量(万t) |\n| --- | --- |\n| 1970 | 1.1 |\n| 1975 | 1.25 |\n| 1980 | 1.15 |\n| 1985 | 2.26 |\n| 1990 | 2.8 |\n| 1995 | 3.89 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/5b52f905397d1fe6bc0281f670f0144e.png", "anno": "折线图1(0,0),(0,0)\n### 中国青少年机器人大赛参赛队伍统计图（2006—2012年）\n\n| 年份 | 参赛队伍/支 |\n| --- | --- |\n| 2006 | 426 |\n| 2007 | 394 |\n| 2008 | 468 |\n| 2009 | 454 |\n| 2010 | 489 |\n| 2011 | 499 |\n| 2012 | 519 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/13d7a61f2584ac94bde3f6d4801878ff.png", "anno": "### 李欣和刘云连续10天跳绳训练成绩统计图\n\n| | 李欣-成绩/下 | 刘云-成绩/下 |\n| --- | --- | --- |\n| 第1天 | 152 | 153 |\n| 第2天 | 155 | 154 |\n| 第3天 | 158 | 159 |\n| 第4天 | 160 | 155 |\n| 第5天 | 157 | 160 |\n| 第6天 | 159 | 164 |\n| 第7天 | 162 | 158 |\n| 第8天 | 165 | 162 |\n| 第9天 | 165 | 160 |\n| 第10天 | 167 | 165 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/160a072d3b8de94c5bb60e47c7b7d6c9.png", "anno": "### 1998～2013 中国互联网用户数及每半年新增用户\n\n| 时间 | 总用户数-总用户数(单位：百万人) | 新增用户数-新增用户数(单位：百万人) |\n| --- | --- | --- |\n| 1998.6 | 1.0 | 0 |\n| 1999.6 | 5.0 | 2 |\n| 2000.6 | 10.5 | 7 |\n| 2001.6 | 20 | 5 |\n| 2002.6 | 30.2 | 10 |\n| 2003.6 | 40.5 | 11 |\n| 2004.6 | 60 | 9.6 |\n| 2005.6 | 100 | 8 |\n| 2006.6 | 110 | 10 |\n| 2007.6 | 160 | 20 |\n| 2008.6 | 220 | 44 |\n| 2009.6 | 300 | 41 |\n| 2010.6 | 380 | 40 |\n| 2011.6 | 460 | 31 |\n| 2012.6 | 520 | 25 |\n| 2013.6 | 620 | 26 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b1519244addd7fbcf0eafad11816b135.png", "anno": "### 图13 2015 ~ 2050 年中国劳动年龄（15 ~ 64岁）人口减少趋势\n\n| （年份） | （万人） |\n| --- | --- |\n| 2015 | 102200 |\n| 2016 | 102180 |\n| 2017 | 102150 |\n| 2018 | 102100 |\n| 2019 | 102000 |\n| 2020 | 101900 |\n| 2021 | 101800 |\n| 2022 | 101820 |\n| 2023 | 101750 |\n| 2024 | 101650 |\n| 2025 | 101480 |\n| 2026 | 101200 |\n| 2027 | 100900 |\n| 2028 | 100400 |\n| 2029 | 100000 |\n| 2030 | 99600 |\n| 2031 | 99100 |\n| 2032 | 98500 |\n| 2033 | 97800 |\n| 2034 | 97100 |\n| 2035 | 96300 |\n| 2036 | 95500 |\n| 2037 | 94700 |\n| 2038 | 93900 |\n| 2039 | 93200 |\n| 2040 | 92500 |\n| 2041 | 91900 |\n| 2042 | 91300 |\n| 2043 | 90700 |\n| 2044 | 90000 |\n| 2045 | 89300 |\n| 2046 | 88600 |\n| 2047 | 87900 |\n| 2048 | 87200 |\n| 2049 | 86900 |\n| 2050 | 86500 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d9408d744f27dfa5c3f369296c663830.png", "anno": "### 房山区和朝阳区5月14日~5月20日疫情新增确诊病例统计\n\n| | 房山区 | 朝阳区 |\n| --- | --- | --- |\n| 14日 | 12 | 12 |\n| 15日 | 12 | 9 |\n| 16日 | 18 | 5 |\n| 17日 | 10 | 4 |\n| 18日 | 10 | 9 |\n| 19日 | 25 | 11 |\n| 20日 | 5 | 1 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/3efa7b7eb1309b3991784bc2f5bfce0f.png", "anno": "| 时间/时 | 路程/千米 |\n| --- | --- |\n| 0 | 0 |\n| 0.5 | 27 |\n| 1 | 50 |\n| 1.5 | 73 |\n| 2 | 95 |\n| 2.5 | 130 |\n| 3 | 150 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/9dbdf8a37fafa35af27042f11cc6bc9f.png", "anno": "| | 某国军费开支在国家预算中所占百分比（单位：%） |\n| --- | --- |\n| 1931年 | 31 |\n| 1932年 | 36 |\n| 1933年 | 38 |\n| 1934年 | 44 |\n| 1935年 | 47 |\n| 1936年 | 48 |\n| 1937年 | 60 |\n| 1938年 | 77 |\n| 1939年 | 73 |\n| 1940年 | 72 |\n| 1941年 | 76 |\n| 1942年 | 77 |\n| 1943年 | 78 |\n| 1944年 | 85 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/e95128be294885102948364ef6879ed1.png", "anno": "### 第 9～14 届亚运会中国和韩国获金牌情况统计图\n\n| 时间/届 | 中国-金牌/枚 | 韩国-金牌/枚 |\n| --- | --- | --- |\n| 9 | 61 | 28 |\n| 10 | 94 | 93 |\n| 11 | 183 | 54 |\n| 12 | 137 | 63 |\n| 13 | 129 | 65 |\n| 14 | 150 | 96 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c3b4a5f7debdd70508dc18b171aec772.png", "anno": "### 1800年至今的极度贫困人口比例\n| | 收入少于2美元/天的处于收入水平第一级的人口占比 |\n| --- | --- |\n| 1800 | 85% |\n| 1810 | 85% |\n| 1820 | 85% |\n| 1830 | 84% |\n| 1840 | 84% |\n| 1850 | 82% |\n| 1860 | 80% |\n| 1870 | 78% |\n| 1880 | 77% |\n| 1890 | 75% |\n| 1900 | 72% |\n| 1910 | 71% |\n| 1920 | 69% |\n| 1930 | 65% |\n| 1940 | 63% |\n| 1950 | 61% |\n| 1960 | 55% |\n| 1966 | 50% |\n| 1970 | 49% |\n| 1980 | 46% |\n| 1990 | 38% |\n| 2000 | 29% |\n| 2010 | 18% |\n| 2017 | 9% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/52f964288ca9151c84787756c079153a.png", "anno": "| 届数 | 数量/枚 |\n| --- | --- |\n| 第27届 | 28 |\n| 第28届 | 32 |\n| 第29届 | 51 |\n| 第30届 | 38 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d45269d11f3d400045a5a3e460332c94.png", "anno": "### 图3-3 线性插值结果示意图\n\n| | | |\n| --- | --- | --- |\n| 6 | 18 | 15 |\n| 8 | 20 | 19 |\n| 10 | 22 | 24 |\n| 12 | 26 | 28 |\n| 14 | 30 | 34 |\n| 16 | 28 | 32 |\n| 18 | 24 | 30 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/6e33164dbbe43475c31d26ab26996ad4.png", "anno": "### 红星纺织公司2009年四个季度收入情况统计图\n\n| 时间/季度 | 收入/万元 |\n| --- | --- |\n| 一季度 | 500 |\n| 二季度 | 750 |\n| 三季度 | 850 |\n| 四季度 | 700 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b2cbe6e187071ed7fd47355c1d50b458.png", "anno": "### 图3 发芽前后淀粉凝沉特性\n| t/h | 黑小麦-沉降率/% | 发芽黑小麦-沉降率/% | 黑苦荞-沉降率/% | 发芽黑苦荞-沉降率/% |\n| --- | --- | --- | --- | --- |\n| 1 | 88 | 85 | 20 | 20 |\n| 2 | 89 | 88 | 42 | 49 |\n| 3 | 89 | 88 | 55 | 63 |\n| 4 | 89 | 88 | 84 | 84 |\n| 5 | 90 | 88 | 85 | 85 |\n| 6 | 90 | 88 | 85 | 85 |\n| 8 | 90 | 88 | 85 | 85 |\n| 10 | 91 | 88 | 85 | 85 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/4d377cd53943534062b368630b2f952b.png", "anno": "### 六年级一班同学阅读课外书情况统计图\n#### 2012年3月\n\n| 月份 | 数量/本 |\n| --- | --- |\n| 7月 | 136 |\n| 8月 | 121 |\n| 9月 | 85 |\n| 10月 | 94 |\n| 11月 | 72 |\n| 12月 | 92 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/5d661924b6bc9a234908985b6d567ffa.png", "anno": "### 2019年A市和B市各月平均气温统计图\n\n| 月份 | A市-平均气温/℃ | B市-平均气温/℃ |\n| --- | --- | --- |\n| 1 | 7 | 23 |\n| 2 | 9 | 22 |\n| 3 | 13 | 22 |\n| 4 | 17 | 20 |\n| 5 | 19 | 16 |\n| 6 | 25 | 14 |\n| 7 | 28 | 13 |\n| 8 | 27 | 15 |\n| 9 | 25 | 17 |\n| 10 | 20 | 19 |\n| 11 | 13 | 21 |\n| 12 | 8 | 21 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/91ed3f2c472e005e55bbc84bec0603a4.png", "anno": "### ★下图是某市 2020 年 6 月 6 日 8 时至 14 时气温情况统计图。\n\n| | 温度/℃ |\n| --- | --- |\n| 8时 | 20 |\n| 9时 | 22 |\n| 10时 | 24 |\n| 11时 | 25 |\n| 12时 | 26 |\n| | 29 |\n| | 31 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d23c13c933549aa503fd6fae95c61f89.png", "anno": "折线图1(0,0),(0,0)\n### 甲、乙两家公司近7年生产产值情况统计图\n| 年份 | 甲公司-产值/万元 | 乙公司-产值/万元 |\n| --- | --- | --- |\n| 2009 | 0 | 0 |\n| 2010 | 3000 | 0 |\n| 2011 | 2000 | 500 |\n| 2012 | 2000 | 1000 |\n| 2013 | 2700 | 3000 |\n| 2014 | 3200 | 5000 |\n| 2015 | 4000 | 6000 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/1b9886d9df11326cddb98f408f79ab67.png", "anno": "### 中位数家庭收入，1947—2007\n\n| 年 | 真实收入-2007，美元 | 如果按人均GDP速度增长的收入-2007，美元 |\n| --- | --- | --- |\n| 1945 | 24000 | 24000 |\n| 1955 | 31000 | 31000 |\n| 1965 | 42000 | 42000 |\n| 1975 | 46000 | 49000 |\n| 1985 | 51000 | 62000 |\n| 1995 | 54000 | 75000 |\n| 2005 | 59000 | 91000 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2848c2cde185de8c564775ee29f50be9.png", "anno": "### 图 5-2 居民债务占GDP比重\n#### 数据来源：IMF 全球债务数据库。此处债务仅包括银行贷款和债券。\n\n| | 中国-(%) | 美国-(%) | 德国-(%) | 日本-(%) |\n| --- | --- | --- | --- | --- |\n| 2006 | 10 | 97 | 66 | 59.5 |\n| 2007 | 19 | 99.5 | 63 | 60 |\n| 2008 | 18 | 99 | 62 | 61 |\n| 2009 | 27 | 98 | 64 | 64 |\n| 2010 | 28.5 | 95 | 61.5 | 63.5 |\n| 2011 | 28.5 | 90 | 59.5 | 62 |\n| 2012 | 31 | 87 | 58 | 61 |\n| 2013 | 34 | 85 | 57 | 60 |\n| 2014 | 37 | 83 | 56 | 59 |\n| 2015 | 40.5 | 81.5 | 56 | 58.5 |\n| 2016 | 46 | 82 | 56 | 59.5 |\n| 2017 | 52 | 81.5 | 56 | 60.5 |\n| 2018 | 57 | 80 | 55.5 | 61.5 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/47dd12bc0d12b22ae845e5b1ae09945b.png", "anno": "| 月份 | Ⅲ-月总太阳辐照度($ MJ\\cdot m^{-2} $) | Ⅰ-月总太阳辐照度($ MJ\\cdot m^{-2} $) | 20°-月总太阳辐照度($ MJ\\cdot m^{-2} $) | Ⅱ-月总太阳辐照度($ MJ\\cdot m^{-2} $) |\n| --- | --- | --- | --- | --- |\n| 1月 | 360 | 350 | 420 | 440 |\n| 2月 | 340 | 250 | 365 | 360 |\n| 3月 | 300 | 170 | 310 | 280 |\n| 4月 | 410 | 170 | 400 | 330 |\n| 5月 | 480 | 160 | 450 | 350 |\n| 6月 | 550 | 140 | 500 | 370 |\n| 7月 | 580 | 180 | 530 | 410 |\n| 8月 | 510 | 210 | 490 | 400 |\n| 9月 | 490 | 260 | 490 | 430 |\n| 10月 | 470 | 330 | 500 | 470 |\n| 11月 | 340 | 320 | 395 | 410 |\n| 12月 | 335 | 380 | 410 | 450 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/e8f5107126decf7432c02439c05bc947.png", "anno": "| | 铁路-人数：百万人 | 水路-人数：百万人 |\n| --- | --- | --- |\n| 1950年 | 154 | 34 |\n| 1960年 | 750 | 164 |\n| 1970年 | 525 | 158 |\n| 1980年 | 922 | 264 |\n| 1990年 | 957 | 272 |\n| 2000年 | 1002 | 192 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/235d2a26cf85a9c536639c0fcd99522e.png", "anno": "### 某种品牌的羽绒服1至6月份销售量统计图\n\n| 月份 | 单位：件 |\n| --- | --- |\n| 一 | 13500 |\n| 二 | 11000 |\n| 三 | 10000 |\n| 四 | 9000 |\n| 五 | 8200 |\n| 六 | 7500 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/7fc0eeacfbd41647d00f9fb0d15a02d0.png", "anno": "### 1990 ~ 2010 年中国市场移动电话普及率\n\n| 年份 | 移动电话普及率累积量-普及率 | 移动电话普及率增量-普及率 |\n| --- | --- | --- |\n| 1990 | 0% | 0% |\n| 1992 | 0% | 0% |\n| 1994 | 0% | 0% |\n| 1996 | 0.5% | 0.5% |\n| 1998 | 2% | 1% |\n| 2000 | 6.5% | 3% |\n| 2002 | 16% | 5% |\n| 2004 | 25.5% | 5% |\n| 2006 | 34% | 4.5% |\n| 2008 | 47% | 6% |\n| 2010 | 61% | 8% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/fca6c38db471567e9bfbcfac2a2a7c9f.png", "anno": "| 时间/月 | A品牌-数量/台 | B品牌-数量/台 |\n| --- | --- | --- |\n| 一月 | 70 | 52 |\n| 二月 | 84 | 50 |\n| 三月 | 75 | 58 |\n| 四月 | 60 | 62 |\n| 五月 | 54 | 75 |\n| 六月 | 50 | 80 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d97a2991d5e79cc1f96a6c9452f13513.png", "anno": "### 图1-10 国际原油价格趋势图\n\n| 年份 | 原油价格(美元/桶) |\n| --- | --- |\n| 1970 | 2 |\n| 1975 | 13 |\n| 1980 | 38 |\n| 1985 | 28 |\n| 1990 | 24 |\n| 1995 | 18 |\n| 2000 | 30 |\n| 2005 | 57 |\n| 2010 | 82 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/3cffdb73a4fc56606cd7001ffd5ff50f.png", "anno": "### 李叔叔生病时一天的体温记录情况\n| 时间-时 | 体温-°C |\n| --- | --- |\n| 0 | 38 |\n| 4 | 38.4 |\n| 8 | 37.8 |\n| 12 | 38.3 |\n| 16 | 39.1 |\n| 20 | 38.5 |\n| 24 | 37.7 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2708d3a33b0c716e0aa8f602f82cf329.png", "anno": "### Number of train passengers, 1995-2004\n\n| | passengers (millions) |\n| --- | --- |\n| 1995 | 246 |\n| 1996 | 254 |\n| 1997 | 263 |\n| 1998 | 267 |\n| 1999 | 271 |\n| 2000 | 280 |\n| 2001 | 302 |\n| 2002 | 279 |\n| 2003 | 277 |\n| 2004 | 277 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/065394d5fcdfd7d4a39392643245e141.png", "anno": "### Average monthly change in prices of copper, nickel and zinc (2014)\n\n| Month | % change in price compared with previous month-Copper | % change in price compared with previous month-Nickel | % change in price compared with previous month-Zinc |\n| --- | --- | --- | --- |\n| J | 2 | 6 | 1 |\n| F | 1 | 4 | 3 |\n| M | 0.5 | 1 | 2 |\n| A | 0.5 | 1 | 1.5 |\n| M | -0.5 | 0.5 | 1 |\n| J | -0.5 | -3 | -1 |\n| J | 1 | -1 | -0.5 |\n| A | 1 | -1 | -0.5 |\n| S | 1 | -1 | -0.5 |\n| O | 0.5 | -2 | -1 |\n| N | 0.5 | 1 | 1.5 |\n| D | 1.5 | 1 | 2 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/e3a5e9388f94d88924b4d3ac1f7247e4.png", "anno": "### Unemployment Rates: US and Japan\n\n| | US-Percentage of work force | Japan-Percentage of work force |\n| --- | --- | --- |\n| Mar 93 | 6.8 | 3.1 |\n| Mar 94 | 6.0 | 3.7 |\n| Mar 95 | 5.6 | 3.7 |\n| Mar 96 | 5.5 | 4.3 |\n| Mar 97 | 5.2 | 4.3 |\n| Mar 98 | 4.9 | 4.6 |\n| Mar 99 | 5.0 | 4.9 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/329e43afbffe2ca9a4a183792df1d461.png", "anno": "| | King's discretionary | British market index |\n| --- | --- | --- |\n| 1925 | 110 | 115 |\n| 1927 | 115 | 170 |\n| 1929 | 115 | 185 |\n| 1931 | 115 | 115 |\n| 1933 | 205 | 190 |\n| 1935 | 360 | 220 |\n| 1937 | 425 | 240 |\n| 1939 | 395 | 200 |\n| 1941 | 510 | 210 |\n| 1943 | 800 | 320 |\n| 1945 | 1035 | 395 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/20804ac40db51cac50d0a3e66c679d76.png", "anno": "### Goods transported in UK (1974–2002)\n\n| | road-Million tonnes | water-Million tonnes | rail-Million tonnes | pipeline-Million tonnes |\n| --- | --- | --- | --- | --- |\n| 1974 | 70 | 38 | 40 | 4 |\n| 1978 | 73 | 41 | 40 | 7 |\n| 1982 | 69 | 56 | 33 | 14 |\n| 1986 | 72 | 58 | 32 | 15 |\n| 1990 | 79 | 58 | 35 | 16 |\n| 1994 | 79 | 57 | 29 | 21 |\n| 1998 | 92 | 52 | 36 | 22 |\n| 2002 | 98 | 65 | 42 | 22 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/7a407e8de8435f5652ce989bdc88f819.png", "anno": "### Life Expectancy at Birth\n| | European Union | Russia |\n| --- | --- | --- |\n| 1970 | 72 | 68.3 |\n| 1975 | 73 | 67.8 |\n| 1980 | 74.1 | 67.3 |\n| 1985 | 75.1 | 68.5 |\n| 1990 | 76 | 68.9 |\n| 1995 | 76.9 | 64.4 |\n| 2000 | 77.1 | 64.7 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/16588fc19db49d1769e5ec1a661b5851.png", "anno": "### rates of smoking in Someland – men and women\n| | men-Per 1,000 people | women-Per 1,000 people |\n| --- | --- | --- |\n| 1960 | 602 | 140 |\n| 1965 | 560 | 168 |\n| 1970 | 532 | 252 |\n| 1975 | 490 | 322 |\n| 1980 | 434 | 308 |\n| 1985 | 390 | 300 |\n| 1990 | 336 | 250 |\n| 1995 | 250 | 210 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4c2a5fe543a67ed3f8f47132a856d051.png", "anno": "### Visits to and from the UK\n\n| | visits abroad by UK residents-millions | visits to the UK by overseas residents-millions |\n| --- | --- | --- |\n| 1979 | 13.5 | 10 |\n| 1984 | 18.5 | 12.5 |\n| 1989 | 32.5 | 18.5 |\n| 1994 | 43.5 | 24 |\n| 1999 | 53 | 26.5 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a1fedd45e4bf40a7eac84926585f42e0.png", "anno": "#### Japan\n\n| | |\n| --- | --- |\n| 1970 | 95% |\n| 1980 | 90% |\n| 1990 | 85% |\n| 2000 | 80% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/016462fcbfaf6603b2c27988a51dedbd.png", "anno": "### EXTREME POVERTY RATE FROM 1800 TO TODAY\n#### Share of humanity living on Level 1 on less than $2/day.\n#### Source: Gapminder[9] based on Bourguignon and Morrison, World Bank[5] & OurWorldInData[1]\n\n| | Extreme Poverty Rate |\n| --- | --- |\n| 1800 | 85% |\n| 1966 | 50% |\n| 2017 | 9% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/00618150bb184584a8db32778f5a4aef.png", "anno": "### Number of train passengers, 1995-2004\n\n| | Passengers (millions) |\n| --- | --- |\n| 1995 | 248 |\n| 1996 | 257 |\n| 1997 | 265 |\n| 1998 | 268 |\n| 1999 | 272 |\n| 2000 | 280 |\n| 2001 | 300 |\n| 2002 | 278 |\n| 2003 | 276 |\n| 2004 | 276 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ac70782c5361f07a1fe32bcdbbfcda3c.png", "anno": "| | King's discretionary | British market index |\n| --- | --- | --- |\n| 1925 | 106 | 106 |\n| 1926 | 117 | 137 |\n| 1927 | 120 | 168 |\n| 1928 | 123 | 189 |\n| 1929 | 127 | 180 |\n| 1930 | 111 | 134 |\n| 1931 | 127 | 127 |\n| 1932 | 171 | 171 |\n| 1933 | 231 | 205 |\n| 1934 | 295 | 214 |\n| 1935 | 400 | 257 |\n| 1936 | 482 | 277 |\n| 1937 | 446 | 266 |\n| 1938 | 420 | 255 |\n| 1939 | 420 | 226 |\n| 1940 | 463 | 231 |\n| 1941 | 548 | 266 |\n| 1942 | 672 | 309 |\n| 1943 | 837 | 360 |\n| 1944 | 960 | 394 |\n| 1945 | 1109 | 437 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/aa608472a577170d1af783b7bdde06b9.png", "anno": "| | Poland | Russia | Belarus |\n| --- | --- | --- | --- |\n| 1989 | 0.00 | | |\n| 1990 | 1.85 | 0.00 | 0.00 |\n| 1991 | 2.50 | 1.00 | 1.25 |\n| 1992 | 2.60 | 2.00 | 1.35 |\n| 1993 | 3.00 | 2.22 | 1.60 |\n| 1994 | 3.10 | 2.45 | 1.60 |\n| 1995 | 3.25 | 2.60 | 2.05 |\n| 1996 | 3.35 | 2.85 | 1.80 |\n| 1997 | 3.45 | 3.00 | 1.62 |\n| 1998 | 3.50 | 2.52 | 1.50 |\n| 1999 | 3.50 | 2.48 | 1.45 |\n| 2000 | 3.50 | 2.52 | 1.55 |\n| 2001 | 3.55 | 2.60 | 1.62 |\n| 2002 | 3.55 | 2.75 | 1.76 |\n| 2003 | 3.70 | 3.00 | 1.85 |\n| 2004 | 3.70 | 3.00 | 1.85 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1ea2fdb0e4e20865266535366da797f9.png", "anno": "折线图1(0,0),(0,0)\n### Number of tourists visiting a Caribbean island (2010–2017)\n\n| | on cruise ships-Millions of visitors | Visitors staying on island-Millions of visitors | Tota-Millions of visitors |\n| --- | --- | --- | --- |\n| 2010 | 0.3 | 0.75 | 1 |\n| 2011 | 0.5 | 0.5 | 1.3 |\n| 2012 | 0.3 | 1.3 | 1.5 |\n| 2013 | 0.5 | 1.5 | 2.0 |\n| 2014 | 1.1 | 1.6 | 2.5 |\n| 2015 | 1.3 | 1.6 | 2.8 |\n| 2016 | 1.5 | 1.3 | 2.8 |\n| 2017 | 1.6 | 1.6 | 3.5 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/e083facd1a4f4cc4f3b4bd5dd667b13f.png", "anno": "### Size of Antarctic Ozone Layer Hole\n\n| | Square KM (millions) |\n| --- | --- |\n| 1980 | 35 |\n| 1982 | 40 |\n| 1985 | 100 |\n| 1997 | 150 |\n| 1992 | 200 |\n| 1994 | 150 |\n| 2000 | 250 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/f3ba159472dcbae5d4e459f487010b4c.png", "anno": "### Proportion of population aged 65 and over\n| | Japan-% | Sweden-% | USA-% |\n| --- | --- | --- | --- |\n| 1949 | 5 | 6 | 9 |\n| 1960 | 3 | 8 | 10 |\n| 1980 | 3 | 13 | 14 |\n| 2000 | 4 | 16 | 14 |\n| 2020 | 8 | 19| 15 |\n| 2040 | 27 | 25 | 23 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/c81b413f9942d83db6640acdf190455d.png", "anno": "| | Imports-billions | Exports-billions |\n| --- | --- | --- |\n| 2002J | 8.9 | 7.4 |\n| 2002F | 8.5 | 7.6 |\n| 2002M | 8.6 | 7.8 |\n| 2002A | 8.7 | 7.8 |\n| 2002M | 8.2 | 7.8 |\n| 2002J | 8.7 | 7.9 |\n| 2002J | 8.8 | 7.9 |\n| 2002A | 8.9 | 7.9 |\n| 2002S | 8.9 | 7.3 |\n| 2002O | 8.9 | 8.0 |\n| 2002N | 8.9 | 7.9 |\n| 2002D | 9.0 | 8.0 |\n| 2003J | 9.0 | 8.0 |\n| 2003F | 9.0 | 7.8 |\n| 2003M | 9.3 | 7.9 |\n| 2003A | 9.2 | 7.8 |\n| 2003M | 9.3 | 7.9 |\n| 2003J | 9.0 | 7.9 |\n| 2003J | 9.0 | 7.5 |\n| 2003A | 9.2 | 7.6 |\n| 2003S | 9.2 | 7.2 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/97bc93b6c56a55ef48e8f11d1e766023.png", "anno": "### Number of shop closures and openings 2011–2018\n\n| | Closures | Openings |\n| --- | --- | --- |\n| 2011 | 6500 | 8500 |\n| 2012 | 6000 | 3950 |\n| 2013 | 7100 | 5000 |\n| 2014 | 6600 | 6200 |\n| 2015 | 600 | 4000 |\n| 2016 | 5200 | 4000 |\n| 2017 | 5000 | 4200 |\n| 2018 | 5300 | 3000 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/787e373b2eab65254c39abce6c066158.png", "anno": "### Goods transported in UK (1974–2002)\n\n| | road-Million tonnes | water-Million tonnes | rail-Million tonnes | pipeline-Million tonnes |\n| --- | --- | --- | --- | --- |\n| 1974 | 70 | 37 | 40 | 4 |\n| 1978 | 73 | 43 | 40 | 8 |\n| 1982 | 69 | 56 | 34 | 14 |\n| 1986 | 72 | 58 | 31 | 15 |\n| 1990 | 79 | 58 | 34 | 17 |\n| 1994 | 80 | 57 | 30 | 20 |\n| 1998 | 93 | 55 | 36 | 22 |\n| 2002 | 98 | 65 | 42 | 22 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9b2d35da764ac07744e4dccfc90ad28f.png", "anno": "| | Class1（62.9%） | Class2（22.7%） | Class3（14.3%） |\n| --- | --- | --- | --- |\n| M1 | 0.85% | 0.97% | 1.55% |\n| M2 | 0.95% | 1.59% | 2.18% |\n| M3 | 0.60% | 0.68% | 1.50% |\n| M4 | 0.50% | 1.10% | 1.70% |\n| M5 | 0.90% | 1.63% | 2.52% |\n| M6 | 0.55% | 0.70% | 1.30% |\n| M7 | 0.90% | 1.64% | 1.78% |\n| M8 | 0.90% | 1.45% | 1.62% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/8c4fb2ae1cf834efd268413e812e8f94.png", "anno": "### (a) 20 ℃\n\n| | Control-Cumulative $ \\mathrm{CO_{2}} $ emission (mg C $ \\mathrm{kg^{-1}} $ soil) | Low BC-Cumulative $ \\mathrm{CO_{2}} $ emission (mg C $ \\mathrm{kg^{-1}} $ soil) | High BC-Cumulative $ \\mathrm{CO_{2}} $ emission (mg C $ \\mathrm{kg^{-1}} $ soil) | Straw-Cumulative $ \\mathrm{CO_{2}} $ emission (mg C $ \\mathrm{kg^{-1}} $ soil) |\n| --- | --- | --- | --- | --- |\n| 0 | 0 | 0 | 0 | 0 |\n| 7 | 4 | 3 | 4 | 4 |\n| 14 | 17 | 12 | 13 | 15 |\n| 21 | 24 | 18 | 20 | 22 |\n| 28 | 29 | 23 | 26 | 29 |\n| 42 | 35 | 27 | 30 | 35 |\n| 56 | 38 | 31 | 34 | 39 |\n| 70 | 46 | 37 | 41 | 47 |\n| 84 | 50 | 41 | 46 | 51 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/022e5a0dd8c2d2b9eaf4e82fe6873f9e.png", "anno": "折线图1(0,0),(0,0)\n### Percent of Working Age Population Employed & Receiving Disability Insurance (1994-2015)\n\n| Year | Disabled-to-Working Age Population Ratio-Disabled-to-Working Age Population Ratio | Employed-to-Working Age Population Ratio-Employed-to-Working Age Population Ratio |\n| --- | --- | --- |\n| 1994 | 2% | 63% |\n| 1995 | 2.5% | 62.9% |\n| 1996 | 2.6% | 63.2% |\n| 1997 | 2.61% | 63.7% |\n| 1998 | 2.7% | 64.1% |\n| 1999 | 2.76% | 64.2% |\n| 2000 | 2.8% | 64.3% |\n| 2001 | 2.9% | 63.6% |\n| 2002 | 3.01% | 62.6% |\n| 2003 | 3.12% | 62.2% |\n| 2004 | 3.3% | 62.3% |\n| 2005 | 3.4% | 62.6% |\n| 2006 | 3.51% | 63% |\n| 2007 | 3.61% | 62.9% |\n| 2008 | 3.79% | 62.1% |\n| 2009 | 3.91% | 59.3% |\n| 2010 | 3.7% | 58.3% |\n| 2011 | 4.12% | 58.3% |\n| 2012 | 4.36% | 58.7% |\n| 2013 | 4.42% | 58.7% |\n| 2014 | 4.41% | 59% |\n| 2015 | 4% | 59% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/22555cc81a9a2bdb2e7086415e27c93e.png", "anno": "### Percent of Households in Poverty\n| | US Poverty Rate-Percent in Poverty | NJ Poverty Rate-Percent in Poverty |\n| --- | --- | --- |\n| 1980 | 13% | 9% |\n| 1982 | 14.6% | 11.5% |\n| 1984 | 14.7% | 10.6% |\n| 1986 | 13.7% | 8.5% |\n| 1988 | 13% | 7% |\n| 1990 | 13.1% | 8.8% |\n| 1992 | 14.5% | 10% |\n| 1994 | 14.7% | 10.2% |\n| 1996 | 13.8% | 8.8% |\n| 1998 | 12.9% | 8.9% |\n| 2000 | 11.5% | 7.9% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/d3e5110873608d0bb4d31dde397843f6.png", "anno": "折线图1(0,0),(0,0)\n### Percentage of tourists to Scotland who visited Edinburgh attractions\n\n| | Aquarium | Castle | Zoo | Festival |\n| --- | --- | --- | --- | --- |\n| 1980 | 20% | 24% | 10% | 30% |\n| 1985 | 35% | 28% | 15% | 26% |\n| 1990 | 20% | 40% | 9% | 25% |\n| 1995 | 22% | 45% | 13% | 24% |\n| 2000 | 20% | 35% | 10% | 26% |\n| 2005 | 15% | 33% | 15% | 26% |\n| 2010 | 8% | 31% | 20% | 26% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/fe859aae867987485856b2f7120be1d3.png", "anno": "### rates of smoking in Someland – men and women\n| | women-Per 1,000 people | men-Per 1,000 people |\n| --- | --- | --- |\n| 1960 | 80 | 600 |\n| 1965 | 180 | 580 |\n| 1970 | 180 | 560 |\n| 1975 | 320 | 500 |\n| 1980 | 320 | 470 |\n| 1985 | 300 | 400 |\n| 1990 | 280 | 380 |\n| 1995 | 220 | 280 |\n| 2000 | 200 | 250 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4bbc5173bfed530fd54ca8f996694e86.png", "anno": "### Proportion of population aged 65 and over\n| | USA-% | Sweden-% | Japan-% |\n| --- | --- | --- | --- |\n| 1940 | 9% | 7% | 5% |\n| 1960 | 10% | 8.6% | 3% |\n| 1980 | 14.5% | 13.5% | 3% |\n| 2000 | 14% | 15.7% | 4.5% |\n| 2020 | 14.5% | 19% | 8% |\n| 2040 | 23.5% | 25.5% | 27.5% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4d84a5a91bc5c1076157b5e151a550da.png", "anno": "| t(s) | ADAMS-y(m) | FLC BDF-I2-y(m) | VC BDF-I2-y(m) |\n| --- | --- | --- | --- |\n| 0 | | | -0.15 |\n| 1 | | | -0.146 |\n| 2 | | | -0.126 |\n| 3 | | | -0.123 |\n| 4 | | -0.143 | |\n| 5 | | -0.15 | |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/aa8592e8b7e7e1fcc8b60326c8c64ca6.png", "anno": "### Energy Use\n\n| | |\n| --- | --- |\n| 1985 | 20% |\n| 1995 | 30% |\n| 2005 | 40% |\n| 2015 | 100% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1175d4b84ac47733eaa583f077f75b12.png", "anno": "| Years of Marriage | Love |\n| --- | --- |\n| 1 | 85 |\n| 2 | 75 |\n| 3 | 63 |\n| 4 | 61 |\n| 5 | 60 |\n| 6 | 54 |\n| 7 | 48 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1eee03cb7ea07961e62bcd5e75b63d9c.png", "anno": "| | Na-g-$ C_{3}N_{4} $ | BiOC1 | Na-g-$ C_{3}N_{4} $/BOC-1 | Na-g-$ C_{3}N_{4} $/BOC-2 | Na-g-$ C_{3}N_{4} $/BOC-3 | g-$ C_{3}N_{4} $/BOC-2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| -60 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |\n| -30 | 0.95 | 0.87 | 0.845 | 0.845 | 0.9 | 0.89 |\n| 0 | 0.93 | 0.86 | 0.835 | 0.82 | 0.88 | 0.88 |\n| 2 | 0.91 | 0.675 | 0.62 | 0.59 | 0.735 | 0.68 |\n| 4 | 0.82 | 0.59 | 0.525 | 0.5 | 0.66 | 0.595 |\n| 6 | 0.7 | 0.55 | 0.475 | 0.455 | 0.6 | 0.55 |\n| 8 | 0.63 | 0.51 | 0.435 | 0.415 | 0.56 | 0.5 |\n| 10 | 0.56 | 0.475 | 0.41 | 0.375 | 0.52 | 0.475 |\n| 12 | 0.515 | 0.45 | 0.38 | 0.35 | 0.49 | 0.44 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/fce349632e4cfc66eb69c7d0ca4965f7.png", "anno": "### Percentage of trains running on time, 1995-2004\n\n| | Percentage of trains running-% | Target-% |\n| --- | --- |\n| 1995 | 91 | 93 |\n| 1996 | 89 | 93 |\n| 1997 | 84 | 93 |\n| 1998 | 92 | 93 |\n| 1999 | 93 | 93 |\n| 2000 | 87 | 93 |\n| 2001 | 90 | 93 |\n| 2002 | 93 | 93 |\n| 2003 | 91 | 93 |\n| 2004 | 72 | 93 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4877a5cf2d6000d71049e1c8b41ab946.png", "anno": "### Male Smokers\n\n| | |\n| --- | --- |\n| 1970 | 60% |\n| 1980 | 50% |\n| 1990 | 55% |\n| 2000 | 25% |\n| 2010 | 50% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/be051e2305a9a33db3427e68ecfd5749.png", "anno": "### Goods transported in UK (1974–2002)\n\n| | road-Million tonnes | water-Million tonnes | rail-Million tonnes | pipeline-Million tonnes |\n| --- | --- | --- | --- | --- |\n| 1974 | 70 | 37 | 40 | 4 |\n| 1978 | 73 | 43 | 40 | 8 |\n| 1982 | 69 | 56 | 34 | 14 |\n| 1986 | 72 | 58 | 31 | 15 |\n| 1990 | 79 | 58 | 34 | 17 |\n| 1994 | 80 | 57 | 30 | 20 |\n| 1998 | 93 | 55 | 36 | 22 |\n| 2002 | 98 | 65 | 42 | 22 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/bdf6fb80ce8eb22353c76829d4da7c45.png", "anno": "### U.S. Energy Consumption by Fuel (1980-2030)\n| | Petrol and Oil-Quadrillion units | Coal-Quadrillion units | Natural Gas-Quadrillion units | Nuclear-Quadrillion units | Solar/Wind-Quadrillion units | Hydropower-Quadrillion units |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1980 | 35 | 16.3 | 20 | 3 | 3 | 3 |\n| 1985 | 31 | 17 | 17 | 3.8 | 3.8 | 3.8 |\n| 1990 | 33.8 | 17.5 | 17.5 | 5 | 3 | 3 |\n| 1995 | 32.5 | 22 | 19 | 5.5 | 2.5 | 3.8 |\n| 2000 | 35 | 21.5 | 22.5 | 5.8 | 3.5 | 2.5 |\n| 2005 | 38 | 21.5 | 21.5 | 7 | 4 | 4 |\n| 2010 | 40 | 22.5 | 22 | 7 | 5 | 2.7 |\n| 2015 | 41.5 | 24 | 24 | 7 | 5 | 2.8 |\n| 2020 | 42 | 26 | 24 | 7 | 5 | 3 |\n| 2025 | 44 | 28 | 24 | 7.3 | 5.5 | 3.2 |\n| 2030 | 47 | 30 | 24 | 8 | 6.3 | 3.8 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/58b8e79778774273fa4ef1667bbc0914.png", "anno": "### Energy units: 1 unit=100 billion megajoules\n\n| Year | Energy demand-Energy units | Energy available-Energy units |\n| --- | --- | --- |\n| 1985 | 3.7 | 5 |\n| 1990 | 5.2 | 2.2 |\n| 1995 | 6.6 | 2.2 |\n| 2000 | 2.8 | 3.2 |\n| 2005 | 2.6 | 6.8 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/60dbcef574f396248c34381981e8710c.png", "anno": "### Size of Antarctic Ozone Layer Hole\n\n| | Square KM (millions) |\n| --- | --- |\n| 1980 | 30 |\n| 1982 | 30 |\n| 1985 | 100 |\n| 1997 | 150 |\n| 1992 | 200 |\n| 1994 | 150 |\n| 2000 | 250 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/5626670ae79e27e16b8bf1716ab39049.png", "anno": "### Goods transported in UK (1974–2002)\n\n| | road-Million tonnes | water-Million tonnes | rail-Million tonnes | pipeline-Million tonnes |\n| --- | --- | --- | --- | --- |\n| 1974 | 70 | 37 | 40 | 4 |\n| 1978 | 73 | 43 | 40 | 8 |\n| 1982 | 69 | 56 | 34 | 14 |\n| 1986 | 72 | 58 | 31 | 15 |\n| 1990 | 79 | 58 | 34 | 17 |\n| 1994 | 80 | 57 | 30 | 20 |\n| 1998 | 93 | 55 | 36 | 22 |\n| 2002 | 98 | 65 | 42 | 22 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/59c22ac6ff5ed1ef35d36d87e01a9fe8.png", "anno": "| | BOE | EAF | OH |\n| --- | --- | --- | --- |\n| 1980 | 54 | 22 | 22 |\n| 1985 | 55 | 25 | 18 |\n| 1990 | 57 | 28 | 15 |\n| 1995 | 60 | 33 | 7.5 |\n| 2000 | 58 | 34 | 5 |\n| 2005 | 65 | 32 | 3 |\n| 2010 | 70 | 29 | 1 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/293c4d8ee5d95bacc3ae6991672378f4.png", "anno": "| | Coal-Global energy supply | Oil-Global energy supply | Natural gas-Global energy supply | Modern renewables-Global energy supply |\n| --- | --- | --- | --- | --- |\n| 1840 | 5% | | | |\n| 1900 | 47% | | | |\n| 1910 | | 3% | | |\n| 1970 | | 38% | | |\n| 1930 | | | 3% | |\n| 1990 | | | 20% | |\n| 2015 | | | | 4% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/b22230bc93bb051d6f8de8d1e5de0291.png", "anno": "### You should write at least 150 words.\n| Year | Percentage |\n| --- | --- |\n| 1980 | 0.2% |\n| 1981 | 2.5% |\n| 1982 | 5% |\n| 1983 | 11.5% |\n| 1984 | 13% |\n| 1985 | 16% |\n| 1986 | 17% |\n| 1987 | 20% |\n| 1988 | 21.0% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1f77aa7a3a9295e45be223ef415c0a6e.png", "anno": "### Time spent by both parents in developmental childcare, children aged 0-4, 1965-2013\n| | BA or more-Minutes per day | HS or less-Minutes per day |\n| --- | --- | --- |\n| 1965 | 52 | 27 |\n| 1975 | 26 | 30 |\n| 1985 | 50 | 40 |\n| 1995 | 60 | 32 |\n| 2000 | 94 | 63 |\n| 2005 | 127 | 68 |\n| 2009 | 126 | 77 |\n| 2013 | 134 | 90 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/f7651ec322443212682f7f78a6f22264.png", "anno": "### Pager Users\n| | |\n| --- | --- |\n| 1985 | 10% |\n| 1990 | 40% |\n| 1995 | 70% |\n| 2000 | 40% |\n| 2005 | 10% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/0b3687ee7d5444168f0902740e05e54a.png", "anno": "### Sydney Median Property Prices from 1967 to 1986\n\n| | Price |\n| --- | --- |\n| 1967 | 10,667 |\n| 1968 | 11,917 |\n| 1969 | 12,985 |\n| 1970 | 14,235 |\n| 1971 | 17,498 |\n| 1972 | 18,748 |\n| 1973 | 25,000 |\n| 1974 | 27,687 |\n| 1975 | 28,937 |\n| 1976 | 29,960 |\n| 1977 | 34,064 |\n| 1978 | 36,615 |\n| 1979 | 37,865 |\n| 1980 | 62,207 |\n| 1981 | 71,724 |\n| 1982 | 72,361 |\n| 1983 | 71,111 |\n| 1984 | 77,537 |\n| 1985 | 87,292 |\n| 1986 | |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/05df8a9e0dffe7d17ed6b7721199b132.png", "anno": "### Pager Users\n| | |\n| --- | --- |\n| 1985 | 10% |\n| 1990 | 40% |\n| 1995 | 70% |\n| 2000 | 40% |\n| 2005 | 10% |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/c8b551872612a596bfd0d456baaafe56.png", "anno": "| | 重量（吨） |\n| --- | --- |\n| 1876年 | 20000 |\n| 1877年 | 28000 |\n| 1878年 | 32000 |\n| 1879年 | 49000 |\n| 1880年 | 52000 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4c506b2bb3c92630abb0dd0392c31875.png", "anno": "### Sales of CDs, LPs, cassettes\n#### United Kingdom\n\n| | CDs-Millions | LPs-Millions | Cassettes-Millions |\n| --- | --- | --- | --- |\n| 1973 | | 82 | 10 |\n| 1978 | | 87 | 21 |\n| 1983 | 2 | 56 | 38 |\n| 1988 | 33 | 54 | 82 |\n| 1993 | 92 | 7 | 59 |\n| 1997 | 151 | 5 | 41 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/582ade9c7763846820992a74924567b5.png", "anno": "### A)\n\n| Strain (%) | MLF-CL$ _{2} $-Stress (MPa) | MLF-CL$ _{4} $-Stress (MPa) | MLF-CL$ _{8} $-Stress (MPa) | Commercial-Stress (MPa) |\n| --- | --- | --- | --- | --- |\n| 0 | 0 | 0 | 0 | 0 |\n| 10 | 0.03 | 0.03 | 0.03 | 0.07 |\n| 20 | 0.14 | 0.14 | 0.14 | 0.27 |\n| 30 | 0.39 | 0.35 | 0.31 | 0.52 |\n| 40 | 0.73 | 0.55 | 0.52 | 0.68 |\n| 50 | 1.00 | 0.78 | 0.72 | 0.86 |\n| 60 | 1.19 | 1.16 | 1.04 | 1.10 |\n| 70 | 1.38 | 1.62 | 1.45 | 1.38 |\n| 80 | 1.57 | 1.93 | 1.92 | 1.68 |\n| 90 | 1.71 | | | |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/7c5a041f3c02f055bdb5db6f9b224f8c.png", "anno": "### Proportion of population aged 65 and over\n\n| Year | Japan-% | Sweden-% | USA-% |\n| --- | --- | --- | --- |\n| 1940 | 5 | 7 | 9 |\n| 1960 | 3 | 8.5 | 10 |\n| 1980 | 3 | 13.1 | 14.4 |\n| 2000 | 4.2 | 15.5 | 14 |\n| 2020 | 8 | 18.9 | 15 |\n| 2040 | 27.5 | 25.3 | 22.7 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/2b2d0e2dc532558e60d40b4b4491359f.png", "anno": "### Visits to and from the UK\n\n| | visits abroad by UK residents-millions | visits to the UK by overseas residents-millions |\n| --- | --- | --- |\n| 1979 | 12 | 10 |\n| 1984 | 18 | 12 |\n| 1989 | 32 | 18 |\n| 1994 | 43 | 23 |\n| 1999 | 53 | 26 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/f4917de271782cd7f4f97a8d825c0a46.png", "anno": "| | King's discretionary | British market index |\n| --- | --- | --- |\n| 1925 | 100 | 100 |\n| 1927 | 100 | 130 |\n| 1929 | 120 | 175 |\n| 1931 | 95 | 125 |\n| 1933 | 150 | 150 |\n| 1935 | 265 | 190 |\n| 1937 | 450 | 250 |\n| 1939 | 380 | 215 |\n| 1941 | 420 | 200 |\n| 1943 | 610 | 265 |\n| 1945 | 1015 | 360 |", "chart_type": "折线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4cc283256c8b457ebc6090a2d31b383c.png", "anno": "折线图1(0,0),(0,0)\n\n### 本市一周气温变化统计图\n\n| 日期 | 最高气温(°C)-气温/℃ | 最高气温(°C)-气温/℃ |\n| --- | --- | --- |\n| 1月30日 | 10 | -4 |\n| 1月31日 | 14 | -2 |\n| 2月1日 | 4 | -5 |\n| 2月2日 | 5 | -4 |\n| 2月3日 | 8 | -3 |\n| 2月4日 | 10 | -3 |\n| 2月5日 | 12 | -1 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/063a03caf78643e11b4384bdbbd5f582.png", "anno": "### 沧州市2021年月平均气温价钱统计图\n\n| 月份 | (平均气温℃) |\n| --- | --- |\n| 1 | -29 |\n| 2 | 0.5 |\n| 3 | 6.1 |\n| 4 | 11.4 |\n| 5 | 17.7 |\n| 6 | 23.6 |\n| 7 | 26.6 |\n| 8 | 25 |\n| 9 | 20.3 |\n| 10 | 13.7 |\n| 11 | 5.7 |\n| 12 | 0.9 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a4e35b3d64e0831aab52d6bb675806c8.png", "anno": "### 蔡甸六小506班卫生评分折线统计图\n\n| | 蔡甸六小506班卫生评分-分数（分） |\n| --- | --- |\n| 一 | 94 |\n| 二 | 95 |\n| 三 | 96 |\n| 四 | 93 |\n| 五 | 95 |\n| 六 | 98 |\n| 七 | 99 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/f85c63c413b7edf382d2a569acbe4dee.png", "anno": "### 某地2020~2024年旅游人数统计图\n\n| 年份 | 旅游人数-万人 |\n| --- | --- |\n| 2020 | 3 |\n| 2021 | 4 |\n| 2022 | 7 |\n| 2023 | 8 |\n| 2024 | 14 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/82b9ee351f97d57a3b2e8cbf2e0e3266.png", "anno": "### 全国新冠肺炎确诊病例统计图\n\n| 日期 | 确诊病例/例 |\n| --- | --- |\n| 2.26 | 43258 |\n| 2.27 | 39979 |\n| 2.28 | 37414 |\n| 2.29 | 35329 |\n| 3.1 | 32652 |\n| 3.2 | 30004 |\n| 3.3 | 27433 |\n| 3.4 | 25352 |\n| 3.5 | 23784 |\n| 3.6 | 22177 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b98c7ea3f71f3f8b08795fda5a6322f9.png", "anno": "折线图1(0,0),(0,0)\n### 全国新型冠状病毒统计图\n\n| 日期 | 人数 |\n| --- | --- |\n| 2.24 | 517 |\n| 2.25 | 411 |\n| 2.26 | 440 |\n| 2.27 | 329 |\n| 2.28 | 430 |\n| 2.29 | 579 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/505387a46d73e1f93de6f77c9cf6adfd.png", "anno": "| | 台数 |\n| --- | --- |\n| 1月 | 55 |\n| 2月 | 60 |\n| 3月 | 65 |\n| 4月 | 60 |\n| 5月 | 55 |\n| 6月 | 50 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/797dd0a8f77fc7536abe0b24209b6d37.png", "anno": "### 3月11日—3月19日气温统计图 \n\n| 2022年3月 | 最高-温度/℃ | 最低-温度/℃ |\n| --- | --- | --- | --- |\n| 11 | 26 | 13 |\n| 12 | 25 | 15 |\n| 13 | 24 | 14 |\n| 14 | 27 | 10 |\n| 15 | 20 | 11 |\n| 16 | 28 | 18 |\n| 17 | 18 | 8 |\n| 18 | 13 | 9 |\n| 19 | 14 | 7 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/1eac107b6ea2f0bc4abf3e0cfaea40b5.png", "anno": "### 2021年沧州市平均气温统计图\n\n| | 平均气温(℃) |\n| --- | --- |\n| 1月 | 8.2 |\n| 2月 | 11.2 |\n| 3月 | 18.4 |\n| 4月 | 23.2 |\n| 5月 | 26.9 |\n| 6月 | 24.4 |\n| 7月 | 16.2 |\n| 8月 | 26.8 |\n| 9月 | 25.5 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/5fb961831eed9eb37227aff6ad950ba3.png", "anno": "### 每日新增治愈病例(18:00~18:00)\n| | 每日新增治愈病例 |\n| --- | --- |\n| 27 | 6 |\n| 28 | 17 |\n| 29 | 45 |\n| 30 | 24 |\n| 31 | 48 |\n| 1 | 87 |\n| 2 | 83 |\n| 3 | 1500 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/339b67ebfeb7afa25ea6d87f914393c2.png", "anno": "### 李喆涵 4—10 岁身高情况统计图 \n#### 2020年2月\n\n| 年龄 | 身高/cm |\n| --- | --- |\n| 4岁 | 109 |\n| 5岁 | 113 |\n| 6岁 | 116 |\n| 7岁 | 120 |\n| 8岁 | 123 |\n| 9岁 | 131 |\n| 10岁 | 144 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/58d69f22c130958939b7aaf6decb2abc.png", "anno": "### 邯郸一周气温统计图\n\n| | 红色 | 蓝色 |\n| --- | --- | --- |\n| 周五 | 6° | -4° |\n| 周六 | 10° | 0° |\n| 周日 | 15° | -1° |\n| 周一 | 18° | 1° |\n| 周二 | 15° | -1° |\n| 周三 | 17° | -2° |\n| 周四 | 16° | 6° |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/d4c3c31852672973896469cbdac57787.png", "anno": "| | 语文-排名 | 数学-排名 | 英语-排名 |\n| --- | --- | --- | --- |\n| 联盟考 | 287 | 584 | 573 |\n| 高二下期末 | 713 | 584 | 683 |\n| 市统考 | 265 | 586 | 618 |\n| 高三上期中 | 108 | 695 | 486 |\n| 12月统考 | 126 | 504 | 659 |\n| 高三上期末 | 218 | 514 | 512 |\n| 2月联盟考 | 13 | 538 | 409 |\n| 一模 | 243 | 397 | 568 |\n| 二模 | 100 | 523 | 509 |\n| 适应性 | 40 | 418 | 628 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/6c41ea25e6bba4c0d50b6e068248ad0f.png", "anno": "| 月份 | 温度 |\n| --- | --- |\n| 1 | 20 |\n| 2 | 21 |\n| 3 | 22 |\n| 4 | 22 |\n| 5 | 23 |\n| 6 | 25 |\n| 7 | 25 |\n| 8 | 24 |\n| 9 | 23.6 |\n| 10 | 23 |\n| 11 | 21.6 |\n| 12 | 20 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c59a53c71bebd07386703a361d69ef08.png", "anno": "### 周一至周五的家庭成员健康体温复式折线统计图\n\n| 星期 | 我-(单位：℃) | 妈妈-(单位：℃) |\n| --- | --- | --- |\n| 一 | 36.2 | 36.3 |\n| 二 | 36.1 | 36.5 |\n| 三 | 36.3 | 36.4 |\n| 四 | 36.2 | 36.3 |\n| 五 | 36.3 | 36.2 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/e4e4463a05db3230eb7938b672d8ba25.png", "anno": "### 新冠状病毒治愈人数统计图\n#### 2020年2月21日制\n\n| 时间 | 人数 |\n| --- | --- |\n| 2.15 | 1323 |\n| 2.16 | 1425 |\n| 2.17 | 1701 |\n| 2.18 | 1824 |\n| 2.19 | 1679 |\n| 2.20 | 2109 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/e975d562d5b3d72ceaece8a1e0decee6.png", "anno": "### 2022年7月下旬郑州最高和最低温度复式统计图\n\n| | 最低-气温/℃ | 最高-气温/℃ |\n| --- | --- | --- |\n| 7.21 | 24 | 34 |\n| 7.22 | 20 | 26 |\n| 7.23 | 22 | 31 |\n| 7.24 | 23 | 34 |\n| 7.25 | 23 | 33 |\n| 7.26 | 24 | 33 |\n| 7.27 | 22 | 30 |\n| 7.28 | 23 | 29 |\n| 7.29 | 24 | 31 |\n| 7.30 | 24 | 31 |\n| 7.31 | 24 | 32 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/4b704d3cfc3332c20b7081b3305fa064.png", "anno": "### 新型冠状病毒统计图\n#### 2020.2.22\n\n| 时间 | 治愈出院病例-人数 | 新确诊病例-人数 |\n| --- | --- | --- |\n| 2.15 | 1323 | 2109 |\n| 2.16 | 1425 | 2048 |\n| 2.17 | 1701 | 1886 |\n| 2.18 | 1824 | 1749 |\n| 2.19 | 1779 | 394 |\n| 2.20 | 2109 | 889 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/aac6b7fbeef2c8e36905fa473dbe6ff0.png", "anno": "### 周一至周五的家庭成员健康体温复式折线统计图\n#### 2020.7.24 六(8)班 林道循\n\n| 天数 | 爸爸-温度 | 我-温度 |\n| --- | --- | --- |\n| 一 | 36.3° | 36.5° |\n| 二 | 36.4° | 36.6° |\n| 三 | 36.7° | 36.4° |\n| 四 | 36.3° | 36.7° |\n| 五 | 36.5° | 36.5° |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/22761175009d9b8e3527b9c351d81859.png", "anno": "### 第22~32届奥运会中国获得金牌数量折线统计图\n#### 2024年1月\n| 日期-届 | 金牌-枚 |\n| --- | --- |\n| 22 | 13 |\n| 23 | 15 |\n| 24 | 5 |\n| 25 | 16 |\n| 26 | 16 |\n| 27 | 28 |\n| 28 | 32 |\n| 29 | 48 |\n| 30 | 38 |\n| 31 | 26 |\n| 32 | 38 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/f535bea2f97422ef74155f1873e7be75.png", "anno": "折线图1(0,0),(0,0)\n### 周一到周五体温统计图\n#### 单式折线统计图\n\n| | 体温 |\n| --- | --- |\n| 周一 | 36.2 |\n| 周二 | 36.3 |\n| 周三 | 36.6 |\n| 周四 | 36.5 |\n| 周五 | 36.7 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/831fb599fdbd3e4a40627f0668fbe18b.png", "anno": "### 蔡甸六小五年级五班卫生评分记录表\n\n| 周次 | 得分 |\n| --- | --- |\n| 第一周 | 96 |\n| 第二周 | 93 |\n| 第三周 | 95 |\n| 第四周 | 98 |\n| 第五周 | 92 |\n| 第六周 | 94 |\n| 第七周 | 95 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/0c6cf7214a41727b183017a3e4f95faf.png", "anno": "| 时间 | 单位/km |\n| --- | --- |\n| 8时 | 0 |\n| 8时30分 | 20 |\n| 9时 | 25 |\n| 9时30分 | 30 |\n| 10时 | 30 |\n| 10时30分 | 30 |\n| 11时 | 43 |\n| 11时30分 | 56 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/7821b465ebe0a58e0d652932dd0dfc64.png", "anno": "### 疫情统计图\n#### 2020年2月21日制\n\n| 时间 | 治愈出院病例-人数 | 新确诊病例-人数 |\n| --- | --- | --- |\n| 2.15 | 1323 | 2009 |\n| 2.16 | 1445 | 2048 |\n| 2.17 | 1701 | 1886 |\n| 2.18 | 1824 | 1749 |\n| 2.19 | 1779 | 394 |\n| 2.20 | 2109 | 889 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/7d9229ad5adc2f5dbcfebdd8ca01f3ae.png", "anno": "### 新冠状病毒治愈人数统计图\n| 时间 | 治愈人数-人数 |\n| --- | --- |\n| 2.15 | 1323 |\n| 2.16 | 1425 |\n| 2.17 | 1701 |\n| 2.18 | 1824 |\n| 2.19 | 1779 |\n| 2.20 | 2109 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/77699e171d4dbcf85e41b575b68e3647.png", "anno": "### 2023年8月21日~27日最高最低气温统计图\n\n| 日期 | 最高气温-温度(℃) | 最低气温-温度(℃) |\n| --- | --- | --- |\n| 周一 | 25 | 14 |\n| 周二 | 31 | 17 |\n| 周三 | 27 | 15 |\n| 周四 | 27 | 17 |\n| 周五 | 26 | 17 |\n| 周六 | 22 | 14 |\n| 周日 | 22 | 14 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/343816a37d860883b74845ed21ddbd41.png", "anno": "### 周一至周五我和弟弟体温统计图\n\n| 日期 | 我-温度/℃ | 弟弟-温度/℃ |\n| --- | --- | --- |\n| 周一 | 36.2 | 36.6 |\n| 周二 | 36.4 | 36.2 |\n| 周三 | 36.6 | 36.4 |\n| 周四 | 36.8 | 36.2 |\n| 周五 | 36.4 | 36.6 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/d41f00065db1176a285302582ba37873.png", "anno": "### 周一至周五体温折线统计图\n#### 六（8）班 陈为琦. 2020.7.17\n\n| 日期 | 体温-温度 |\n| --- | --- |\n| 周一 | 36.2 |\n| 周二 | 36.4 |\n| 周三 | 36.3 |\n| 周四 | 36.5 |\n| 周五 | 36.4 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/2d4d1e90b793326a5265c7285fd38a7d.png", "anno": "### 新冠疫情图表\n| 月份 | 现有确诊人数 高峰-人数 |\n| --- | --- |\n| 1月 | 1850 |\n| 2月 | 1516 |\n| 3月 | 162 |\n| 4月 | 325 |\n| 5月 | 320 |\n| 6月 | 514 |\n| 7月 | 1022 |\n| 8月 | 1910 |\n| 9月 | 915 |\n| 10月 | 900 |\n| 11月 | 1022 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/fae50266cff81d731e62d23d295df04b.png", "anno": "### 3月9日~3月15日 社庆观鸟种类统计图\n#### 2020年4月19日\n\n| | 种类 (种) |\n| --- | --- |\n| 3月9日 | 10 |\n| 3月10日 | 12 |\n| 3月11日 | 15 |\n| 3月12日 | 16 |\n| 3月13日 | 11 |\n| 3月14日 | 9 |\n| 3月15日 | 13 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/3f616173d10e920820eda837ef6b429c.png", "anno": "### 周一至周五的家庭成员健康体温复式折线统计图\n#### 2020.7.24 六(8)班 林道循\n\n| 天数 | 爸爸-温度 | 我-温度 |\n| --- | --- | --- |\n| 一 | 36.3° | 36.5° |\n| 二 | 36.4° | 36.6° |\n| 三 | 36.7° | 36.4° |\n| 四 | 36.3° | 36.7° |\n| 五 | 36.5° | 36.5° |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/1d99353e5ce04ee4ded4e5dcf5827459.png", "anno": "### 周一到周五的体温统计图\n#### 单式折线统计图\n\n| 号数 | 温度/℃ |\n| --- | --- |\n| 13号 | 36.0 |\n| 14号 | 36.2 |\n| 15号 | 36.1 |\n| 16号 | 36.3 |\n| 17号 | 36.2 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a83ee465f8f93d57de59d98819041e70.png", "anno": "### 疫情统计图\n#### 2020年2月21日制\n\n| 时间 | 治愈出院病例-人数 | 新确诊病例-人数 |\n| --- | --- | --- |\n| 2.15 | 1323 | 2009 |\n| 2.16 | 1445 | 2048 |\n| 2.17 | 1701 | 1886 |\n| 2.18 | 1824 | 1749 |\n| 2.19 | 1779 | 394 |\n| 2.20 | 2109 | 889 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/7ebf3b4c71e1902fc96088f87cb2435b.png", "anno": "| | 最高气温-气温 | 最低气温-气温 |\n| --- | --- | --- |\n| 周五
(7日) | 6 | -4 |\n| 周六
(8日) | 9 | 0 |\n| 周日
(9日) | 15 | -1 |\n| 周一
(10日) | 18 | 1 |\n| 周二
(11日 | 15 | 1 |\n| 周三
(12日) | 17 | 2 |\n| 周四
(13日) | 16 | 6 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b6c140c2fb01ab4452642ff51cf16328.png", "anno": "### 陈铭敏一周跳绳、仰卧起坐成绩条形统计图\n#### 2022年3月19日\n\n| 时间 | 跳绳-个数 | 仰卧起坐-个数 |\n| --- | --- | --- |\n| 星期一 | 116 | 50 |\n| 星期二 | 140 | 48 |\n| 星期三 | 150 | 51 |\n| 星期四 | 130 | 45 |\n| 星期五 | 160 | 43 |\n| 星期六 | 150 | 45 |\n| 星期日 | 190 | 50 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/6776a339758edfc7b8f27dccf71b597b.png", "anno": "| 年级 | 人数/人 |\n| --- | --- |\n| 一 | 20 |\n| 二 | 26 |\n| 三 | 32 |\n| 四 | 48 |\n| 五 | 68 |\n| 六 | 82 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b95e2987aa8a40bc9173677d60cbcfec.png", "anno": "折线图1(0,0),(0,0)\n\n| | 支出-元 | 收入-元 |\n| --- | --- | --- |\n| 3/11 | 1 | 3 |\n| 3/12 | 0 | 0.5 |\n| 3/13 | 0 | 2 |\n| 3/14 | 2 | 0 |\n| 3/15 | 1 | 4.5 |\n| 3/16 | 0 | 0 |\n| 3/17 | 1 | 0 |\n| 3/18 | 3 | 1.5 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/6370156e1ae9ad9296b1a403074e3b53.png", "anno": "### 某家电商场A品牌冰箱今年上半年销售量统计图\n\n| 月 | 单位/台 |\n| --- | --- |\n| 1 | 55 |\n| 2 | 60 |\n| 3 | 65 |\n| 4 | 60 |\n| 5 | 55 |\n| 6 | 50 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/7474e70469270d5aff80f762c0d82f52.png", "anno": "### 蔡甸六小502卫生评分折线统计图\n| | 502卫生评分 |\n| --- | --- |\n| 第一周 | 94 |\n| 第二周 | 95 |\n| 第三周 | 96 |\n| 第四周 | 97 |\n| 第五周 | 98 |\n| 第六周 | 95 |\n| 第七周 | 93 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/5efb07ee3f8d0e3134ac7972ba00b653.png", "anno": "### 周一至周五体温统计图\n#### 六（8）班 吉雨彤\n| 日期 | 体温-温度 |\n| --- | --- |\n| 周一 | 36.0 |\n| 周二 | 36.3 |\n| 周三 | 36.2 |\n| 周四 | 36.5 |\n| 周五 | 36.7 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/85c38c9708373dd3cf75520be764083e.png", "anno": "# 17日\n\n| 日期 | 温度 |\n| --- | --- |\n| 周一 | 36.0° |\n| 周二 | 36.5° |\n| 周三 | 36.2° |\n| 周四 | 36.2° |\n| 周五 | 36.2° |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c809a8d578b18e0f9fdf2f4280d4b738.png", "anno": "### 章伊伊6~12岁每年生日身高情况统计图\n| 岁 | 身高-cm |\n| --- | --- |\n| 6岁 | 115 |\n| 7岁 | 121 |\n| 8岁 | 129 |\n| 9岁 | 130 |\n| 10岁 | 132 |\n| 11岁 | 136 |\n| 12岁 | 144 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/519285026129af86cd21fa4a9b530495.png", "anno": "### 某手机商店2019年1—12月手机销售情况统计图\n\n| 月份 | 数量/部 |\n| --- | --- |\n| 1 | 350 |\n| 2 | 620 |\n| 3 | 280 |\n| 4 | 150 |\n| 5 | 320 |\n| 6 | 360 |\n| 7 | 400 |\n| 8 | 520 |\n| 9 | 680 |\n| 10 | 350 |\n| 11 | 380 |\n| 12 | 420 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/03f4256ce0a4a1ecf96e00a6f33f6c92.png", "anno": "| 月份 | A市-降水量/毫米 | B市-降水量/毫米 |\n| --- | --- | --- |\n| 1 | 15 | 52 |\n| 2 | 36 | 10 |\n| 3 | 25 | 10 |\n| 4 | 70 | 5 |\n| 5 | 68 | 90 |\n| 6 | 170 | 150 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/3143366576c5e8071f7849aa43efa010.png", "anno": "### 周一至周五体温统计图\n#### 六（8）班 张新宇\n| 日期 | 体温/℃ |\n| --- | --- |\n| 13 | 36.3℃ |\n| 14 | 36.1℃ |\n| 15 | 36.2℃ |\n| 16 | 36.2℃ |\n| 17 | 36.4℃ |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/64329bd5cdcad1d8857998d4d0cbe354.png", "anno": "### 单科状元（年1）.\n\n| | 班1-年排 | 班2-年排 | 班3-年排 | |\n| --- | --- | --- | --- | --- |\n| 月考 | | 15 | | |\n| 七上期中 | | 16 | | |\n| 月考 | 7 | | | |\n| 七上期末 | | 7 | | 生物100 |\n| 七下期中 | 5 | | | 历史99 |\n| 七下期末 | 9 | | | |\n| 月考 | 3 | | | |\n| 八上期中 | 4 | | | 英语95物理100 |\n| 八上期末 | | 15 | | 政治100 |\n| 月考 | | 22 | | |\n| 八下期中 | 7 | | | |\n| 八下期末 | | | 24 | |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/fa700a628c9f81cb20ef06674c631a00.png", "anno": "折线图1(0,0),(0,0)\n### 学校一至六年级学生近视情况统\n| 年级 | 近视人数/个 |\n| --- | --- |\n| 一 | 8 |\n| 二 | 10 |\n| 三 | 15 |\n| 四 | 20 |\n| 五 | 48 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/147405ad6cac286012cb521a74e68926.png", "anno": "### 2022年3月某七日气温统计图\n\n#### 2022年3月\n| 日期 | 最高温度-℃ | 最低温度-℃ |\n| --- | --- | --- |\n| 3/18 | 13 | 9 |\n| 3/19 | 14 | 7 |\n| 3/20 | 10 | 8 |\n| 3/21 | 11 | 9 |\n| 3/22 | 10 | 8 |\n| 3/23 | 16 | 8 |\n| 3/24 | 14 | 10 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/00a0d5cc9af5562b6a40f47ff21e5136.png", "anno": "### 学校一至六年级学生近视情况统\n\n| 年级 | 近视人数/个 |\n| --- | --- |\n| 一 | 8 |\n| 二 | 10 |\n| 三 | 15 |\n| 四 | 20 |\n| 五 | 48 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/42937c6476099922682a2e2b164e8d37.png", "anno": "| (天) | (个) |\n| --- | --- |\n| 1 | 60 |\n| 2 | 70 |\n| 3 | 80 |\n| 4 | 120 |\n| 5 | 130 |\n| 6 | 140 |\n| 7 | 150 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/bc29008039b88805b4ea6977b95c6c79.png", "anno": "### Product Sale\n| | Food Item | snack | soft drink |\n| --- | --- | --- | --- |\n| 2000 | 200 | 100 | 230 |\n| 2001 | 230 | 175 | 260 |\n| 2002 | 265 | 100 | 165 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/760063bdebb8ed7e4d98bacdcc4c0077.png", "anno": "| subject | monthly examination-score | mid-term examination-score | final-examination-score |\n| --- | --- | --- | --- |\n| geography | 52 | 72 | 88 |\n| biology | 45 | 65 | 60 |\n| chemistry | 60 | 75 | 83 |\n| physics | 70 | 62 | 75 |\n| sports | 62 | 75 | 55 |\n| politics | 50 | 72 | 65 |\n| English | 55 | 90 | 85 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/90517ccf2a4eac9d6b839338dcc334b4.png", "anno": "### ROC curve\n| | ID oGb-True positive rate / TPR | IPI-True positive rate / TPR | \n| --- | --- | --- |\n| 0 | 0 | 0 |\n| 0.1 | 0.3 | 0.1 |\n| 0.2 | 0.3 | 0.4 |\n| 0.3 | 0.4 | 0.3 |\n| 0.4 | 0.6 | 0.5 |\n| 0.5 | 0.6 | 0.7 |\n| 0.6 | 0.7 | 0.8 |\n| 0.7 | 0.75 | 0.9 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/3e47679c5d368b2403a32d3801903edf.png", "anno": "| | experiment.one | experiment two |\n| --- | --- | --- |\n| 2 | 10 | 5 |\n| 4 | 15 | 2 |\n| 6 | 23 | 7 |\n| 8 | 26 | 17 |\n| 10 | 24 | 26 |\n| 12 | 16 | 25 |\n| 14 | 12 | 24 |\n| 16 | 13 | |\n| 18 | 18 | |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/5d8f360f327875cc1440d993e66e7aa3.png", "anno": "### Percentage of trains running on time compared with the ta\n\n| | Standard line,target-Percentage | Percentage of trains running on time-Percentage |\n| --- | --- | --- |\n| 2000 | 95% | 92% |\n| 2001 | 95% | 93.8% |\n| 2002 | 95% | 95% |\n| 2003 | 95% | 95.6% |\n| 2004 | 95% | 96% |\n| 2005 | 95% | 94.3% |\n| 2006 | 95% | 92% |\n| 2007 | 95% | 93.5% |\n| 2008 | 95% | 96% |\n| 2009 | 95% | 97% |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/cb7d9899a8499e2eeaf46fef3df8e831.png", "anno": "| HZ | P(kW) |\n| --- | --- |\n| 30.2（ne1） | 900 |\n| 60.5（ne2） | 990 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/4bc5368cd5a97d5c7f7fe1bb186d8a08.png", "anno": "### Sales and Profits quarter wise - dual axis\n\n| Quarter | Sales | Profits |\n| --- | --- | --- |\n| Q1 | 26 | 6 |\n| Q2 | 43 | 11 |\n| Q3 | 51 | 13 |\n| Q4 | 85 | 24 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/92df9933b8c3b17b545857592867c6c2.png", "anno": "| X: | | |\n| --- | --- | --- |\n| 10 | 130 | 0 |\n| 10.5 | 135 | 0 |\n| 11 | 141 | 0 |\n| 11.5 | 143 | 0 |\n| 12 | 149 | 151 |\n| 12.5 | 154 | 156 |\n| 13 | 156 | 159 |\n| 13.5 | 157 | 164 |\n| 14 | 159 | 0 |\n| 14.5 | 160 | 0 |\n| 15 | 162 | 0 |\n| 15.5 | 164 | 0 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/3a7247228abf7290c1864d2d39bf3385.png", "anno": "### BURNDOWN\n| | |\n| --- | --- |\n| 30 | 113 |\n| 31 | 118 |\n| 1 | 109 |\n| 2 | 97 |\n| 3 | 101.5 |\n| 6 | 90 |\n| 7 | 74 |\n| 8 | 71 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/4b483bbdbbc407914d9fcc6300f33b5a.png", "anno": "| | standard line, target - Percentage % | Percentage of trains running on time - Percentage % |\n| --- | --- | --- |\n| 2000 | 95% | 92% |\n| 2001 | 95% | 93.6% |\n| 2002 | 95% | 95% |\n| 2003 | 95% | 95.6% |\n| 2004 | 95% | 96% |\n| 2005 | 95% | 94.4% |\n| 2006 | 95% | 92% |\n| 2007 | 95% | 93% |\n| 2008 | 95% | 95% |\n| 2009 | 95% | 97% |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/1335a0112d6bebb2d26647112081f3fa.png", "anno": "| | Health | Education | Transportation |\n| --- | --- | --- | --- |\n| 2000 | 3% | 5% | 3% |\n| 2005 | 4% | 6% | 2% |\n| 2010 | 5% | 5% | 4% |\n| 2015 | 6% | 4.5% | 4% |\n| 2020 | 8% | 4% | 3% |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/81421942c2b20178d789d0647bc2d7f9.png", "anno": "### Relationship between Pressure and Temperature for Nitrogen\n\n| Temperature (K) | Pressure (atm) |\n| --- | --- |\n| 200 | |\n| 210 | 1.55 |\n| 220 | 1.62 |\n| 230 | 1.69 |\n| 240 | 1.77 |\n| 250 | 1.85 |\n| 260 | 1.92 |\n| 270 | 2.00 |\n| 280 | 2.07 |\n| 290 | 2.14 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f90d573401ccfd9d41ded6250ca4adc7.png", "anno": "| | | |\n| --- | --- | --- |\n| 615 | 36 | 36 |\n| 616 | 33.5 | 29.4 |\n| 617 | 30 | 21 |\n| 620 | 26 | 8 |\n| 621 | | 0 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/4b24cb63f322d18b4c3d346385dcf0ae.png", "anno": "### Product Sale\n\n| | Food Item | snack | soft drink |\n| --- | --- | --- | --- |\n| 2000 | 200 | 100 | 230 |\n| 2001 | 230 | 175 | 260 |\n| 2002 | 265 | 100 | 160 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/57c697926566c3fe5f7adf8d106cb1ad.png", "anno": "### The graph shows the production of main fuels in UK between 1986 and 2000.\n\n| | Petroleum | Coal | Natural Gas |\n| --- | --- | --- | --- |\n| 1986 | 122 | 111 | 64 |\n| 1991 | 140 | 84 | 67 |\n| 1995 | 114 | 95 | 72 |\n| 2000 | 144 | 63 | 112 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/dd080b8806d26b0c5bafcf1f019566a8.png", "anno": "| | |\n| --- | --- |\n| 2010 | 4800 |\n| 2013 | 6100 |\n| 2016 | 8000 |\n| 2017 | 8100 |\n| 2018 | 8200 |\n| 2019 | 9550 |\n| 2020 | 11000 |\n| 2021 | 13000 |\n| 2022 | 12000 |\n| 2023 | 11400 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a86b06696f8cd7b5c68b7c7a6762e2fa.png", "anno": "| | |\n| --- | --- |\n| 1910 | 300ppm |\n| 2013 | 400ppm |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/bd3d26fed991c9435974768f6b901073.png", "anno": "| | pulp-million tonnes | timber-million tonnes | paper-million tonnes |\n| --- | --- | --- | --- |\n| 1980 | 5.1 | 4.4 | 4.6 |\n| 1985 | 6 | 7 | 6 |\n| 1990 | 7.7 | 10.2 | 7.1 |\n| 1995 | 8.4 | 7.6 | 7.6 |\n| 2000 | 9.2 | 7.3 | 8.6 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/c0d25fc3377f2efd5509104b8d5d1407.png", "anno": "| Theorietical Quantiles | 黑色虚线-Sample Quantiles | 红色实线-Sample Quantiles |\n| --- | --- | --- |\n| -2 | 10 | 14 |\n| -1 | 33 | 32 |\n| 0 | 56 | 56 |\n| 1 | 86 | 83 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/dcc99f4b0837e2092d8e252299fcdef6.png", "anno": "| | |\n| --- | --- |\n| 5 | 1320 |\n| 6 | 750 |\n| 7 | 500 |\n| 8 | 400 |\n| 9 | 600 |\n| 10 | 500 |\n| 11 | 800 |\n| 12 | 1000 |\n| 1 | 400 |\n| 2 | 100 |\n| 3 | 50 |\n| 4 | 100 |\n| 5 | 300 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/cff241be6bf921e1e338ecc81b2b643a.png", "anno": "### People Walking by my house\n\n| | |\n| --- | --- |\n| 7a | 2 |\n| 8a | 2 |\n| 9a | 3 |\n| 10a | 5 |\n| 11a | 7 |\n| 12p | 3 |\n| 1p | 2 |\n| 2p | 0 |\n| 3p | 1 |\n| 4p | 8 |\n| 5p | 4 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/54769bdfe41d6281e655f0317c980733.png", "anno": "| Days | PH |\n| --- | --- |\n| 1 | 24 |\n| 2 | 18 |\n| 3 | 18 |\n| 4 | 12 |\n| 5 | 6 |\n| 6 | 0 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/3dc47a34cec2a6c74ba614ab44f74078.png", "anno": "### % of people's visit to a gym (1990-2010)\n\n| | 18-24-% | 25-34-% | 35-44-% | 45 and over-% |\n| --- | --- | --- | --- | --- |\n| 1990 | 7 | 8 | 5 | 3 |\n| 1994 | 17 | 19 | 13 | 5 |\n| 1998 | 29 | 28 | 15 | 8 |\n| 2002 | 40 | 31 | 16 | 9 |\n| 2006 | 51 | 37 | 23 | 11 |\n| 2010 | 51 | 46 | 31 | 26 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/ddb491ba3a8dae3e97bc1312b6ecab3b.png", "anno": "| | | |\n| --- | --- | --- |\n| 1.29 | 7500 | 2500 |\n| 1.30 | 9000 | 3000 |\n| 1.31 | 12500 | 3300 |\n| 2.1 | 15700 | 2300 |\n| 2.2 | 18000 | 2500 |\n| 2.3 | 21000 | 2400 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/627fa3dd61f6d34a6a1f515edde47a8c.png", "anno": "| | |\n| --- | --- |\n| 1 | 0.8 |\n| 2 | 1.1 |\n| 3 | 1.4 |\n| 4 | 1.7 |\n| 5 | 1.9 |\n| 6 | 1.8 |\n| 7 | 1.7 |\n| 8 | 1.6 |\n| 9 | 1.7 |\n| 10 | 1.9 |\n| 11 | 2.2 |\n| 12 | 2.1 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/da07680e128c86bf79cfd0e3a92355c8.png", "anno": "| | |\n| --- | --- |\n| 2022 | 70 |\n| 2023 | 80 |\n| 24 | 120 |\n| 25 | 277 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/35cefff8474d203c86f6ad05828619f6.png", "anno": "| | |\n| --- | --- |\n| 2010 | 70.5 |\n| 2011 | 72.8 |\n| 2012 | 76.7 |\n| 2013 | 79.2 |\n| 2014 | 81.0 |\n| 2015 | 80.0 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6cec8299e0ba54dec65759d0f76064bb.png", "anno": "### FOOT SPRAY STINGING EXPERIMENT\n\n| | LEFT(SAT LUNCH） |\n| --- | --- |\n| 0 START | 10 |\n| 1 MIN | 5 |\n| 2 MIN | 2 |\n| 3 MIN | 1 |\n| 4 MIN | 0 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/0e32d3bbeb8d8be1f4ef3ac80c5b5d9a.png", "anno": "| | 橙色 | 蓝色 |\n| --- | --- | --- |\n| 1 | 4.5 | 3.7 |\n| 2 | 4.0 | 3.4 |\n| 3 | 4.1 | 3.5 |\n| 4 | 3.8 | 3.5 |\n| 5 | 3.9 | 3.5 |\n| 6 | 3.7 | 3.4 |\n| 7 | 3.8 | 3.4 |\n| 8 | 3.7 | 3.4 |\n| 9 | 3.8 | 3.5 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/0bdba35162de2795d71258b0883d8201.png", "anno": "| Q | pH |\n| --- | --- |\n| 3800 | 0.54 |\n| 3900 | 0.6 |\n| 4000 | 0.66 |\n| 4100 | 0.69 |\n| 4200 | 0.73 |\n| 4300 | 0.78 |\n| 4400 | 0.86 |\n| 4500 | 0.93 |\n| 4600 | 1.0 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/3dacc0191380ea2e4cf5b0ca35d4b285.png", "anno": "### An Accident\n#### should (not)\n\n| Michael | Feeling |\n| --- | --- |\n| play | happy |\n| jump | better |\n| fall down | terrible-better |\n| hurt | terrible |\n| saw a doctor | terrible-better |\n| rested. | better |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b81e01b426a210d24591e24f4309af89.png", "anno": "| | GA | VNS | IWOA |\n| --- | --- | --- | --- |\n| 10x5 | 0.00 | 0.25 | 0.13 |\n| 10x8 | 0.00 | 0.13 | 0.30 |\n| 10x10 | 0.00 | 0.30 | 0.20 |\n| 20x5 | 0.32 | 0.19 | 0.10 |\n| 20x8 | 0.05 | 0.42 | 0.25 |\n| 20x10 | 0.12 | 0.33 | 0.50 |\n| 40x5 | 0.30 | 0.55 | 0.22 |\n| 40x8 | 0.45 | 0.15 | 0.40 |\n| 40x10 | 0.25 | 0.45 | 0.25 |\n| 60x5 | 0.20 | 0.52 | 0.22 |\n| 60x8 | 0.24 | 0.37 | 0.08 |\n| 60x10 | 0.38 | 0.45 | 0.60 |\n| 80x5 | 0.26 | 0.32 | 0.42 |\n| 80x8 | 0.40 | 0.55 | 0.30 |\n| 80x10 | 0.50 | 0.42 | 0.20 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a4f51459db092790fa471cf7331a21c4.png", "anno": "| x | y |\n| --- | --- |\n| 9 | 60 |\n| 34 | 70 |\n| 59 | 80 |\n| 84 | 90 |\n| 109 | 100 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/3503b532500564e24e4f9fd25d11f1c0.png", "anno": "| | EV | PV | AC |\n| --- | --- | --- | --- |\n| 0 | 0 | 0 | 0 |\n| 3 | 181 | 160 | 70 |\n| 6 | 195 | 307 | 70 |\n| 9 | 474 | 433 | 195 |\n| 12 | 628 | 516 | 314 |\n| 15 | 614 | 502 | 614 |\n| 18 | | 488 | |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/bb0cdab71bcd78a569d3c51930936e91.png", "anno": "| | continuous training-TB-CSA(% change) | periodic training (3 wk breaks)-TB-CSA(% change) |\n| --- | --- | --- |\n| 0 | 0 | 0 |\n| 3 | 5 | 4 |\n| 6 | 13 | 10 |\n| 9 | 16 | 7 |\n| 12 | 18 | 11 |\n| 15 | 19 | 15 |\n| 18 | 20 | 10 |\n| 21 | 21 | 14 |\n| 24 | 22 | 20 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/cd00de4525078507f881076bd54b0002.png", "anno": "| | Evening-Time (minutes) | Morning-Time (minutes) |\n| --- | --- | --- |\n| 1995 | 22 | 12 |\n| 1996 | 25 | 15 |\n| 1997 | 28 | 17 |\n| 1998 | 31 | 15 |\n| 1999 | 27 | 18 |\n| 2000 | 30 | 17 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9ba530527af3a42e9008b24d39f63783.png", "anno": "### Epidemic situation in Heilongjiang Province\n\n| | Infection | Death |\n| --- | --- | --- |\n| 17th Feb | 452 | 11 |\n| 18th Feb | 464 | 11 |\n| 19th Feb | 470 | 12 |\n| 20th Feb | 476 | 12 |\n| 21st Feb | 479 | 12 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/94f4f7b28f058c69c408619c247fee44.png", "anno": "| Age | Man 196?-Percentage | Woman 196?-Percentage | Man 2010?-Percentage | Woman 2010?-Percentage |\n| --- | --- | --- | --- | --- |\n| 18 | 95% | 63% | 36% | 46% |\n| 50 | 97% | 65% | 38% | 52% |\n| 40 | 96% | 66% | 39% | 53% |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/8bca399616821707c1a9cf59033d97f0.png", "anno": "| date | chinese-grades | math-grades | occupation-grades |\n| --- | --- | --- | --- |\n| 7.21 | 75 | 110 | 180 |\n| 7.26 | 107 | 90 | 195 |\n| 8.2 | 90 | 140 | 210 |\n| 8.23 | 104 | 130 | 175 |\n| 8.31 | 100 | 80 | 200 |\n| 9.13 | 70 | 114 | 165 |\n| 9.20 | 118 | 106 | 220 |\n| 10.18 | 115 | 160 | 200 |\n| 10.25 | 80 | 130 | 225 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/e169e4dda1b24662f8c432f68ecbd54e.png", "anno": "| horizontal axis-Quantity demanded | vertical axis-price |\n| --- | --- |\n| 1 | 4.2 |\n| 2 | 3.1 |\n| 3 | 2.5 |\n| 4 | 2.0 |\n| 5 | 1.0 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/c45fec3a0facfc803c62f81912df55e9.png", "anno": "### Volume - in $M\n\n| | ACT | FCST |\n| --- | --- | --- |\n| 2021 | 55.5 | |\n| 2022 | 77.89 | |\n| 2023 | 98.52 | |\n| 2024 | | 95.68 |\n| 2025 | | 62.12 |\n| 2026 | | 145.52 |\n| 2027 | | 135.65 |\n| 2028 | | 142.56 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f4cab85e5519a40364356a3e6a6aa53d.png", "anno": "| | SMSL-True positive rate/TPR | IDoGb-True positive rate/TPR | IPI-True positive rate/TPR |\n| --- | --- | --- | --- |\n| 0 | 0.0 | 0.20 | |\n| 0.1 | 0.65 | 0.25 | 0.30 |\n| 0.2 | 0.73 | 0.50 | 0.27 |\n| 0.3 | 0.47 | 0.17 | 0.30 |\n| 0.4 | 0.85 | 0.50 | 0.40 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/edd700c9dad8520a0b887c79cacce9db.png", "anno": "| | |\n| --- | --- |\n| 4.16 | 100 |\n| 4.17 | 90 |\n| 4.18 | 80 |\n| 4.19 | 70 |\n| 4.20 | 60 |\n| 4.21 | 50 |\n| 4.22 | 40 |\n| 4.23 | 30 |\n| 4.24 | 20 |\n| 4.25 | 10 |\n| 4.26 | 0 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/796118cdf9fe5d1024426c16af2989d3.png", "anno": "| | A | B | C | D |\n| --- | --- | --- | --- | --- |\n| 2006 | 20 | 30 | 70 | 100 |\n| 2007 | 15 | 20 | 60 | 110 |\n| 2008 | 30 | 40 | 80 | 105 |\n| 2009 | 20 | 30 | 60 | 130 |\n| 2010 | 20 | 35 | 80 | 100 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b56fcb52c4a8952a4399e1e3fb921c8b.png", "anno": "折线图1(0,0),(0,0)\n| | 10X-TSS Score | ENCODE-TSS Score |\n| --- | --- | --- |\n| -1000 | 1.0 | 0.5 |\n| -900 | 3.3 | 2.8 |\n| -1 | 4.2 | 3.5 |\n| 0 | 5.0 | 4.2 |\n| 1 | 3.8 | 3.2 |\n| 900 | 2.7 | 2.2 |\n| 1000 | 1.7 | 1.3 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/4ed040205cebf5b57f35750a30f78123.png", "anno": "| | |\n| --- | --- |\n| class-1 | 5 ± 1 |\n| class-2 | 4 ± 1 |\n| class-3 | 5 ± 1 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/cd7c27e3557c85b727fedd2aef910200.png", "anno": "### % of people's visit to a gym (1990-2010)\n\n| | 18-24-% | 25-34-% | 35-44-% | 45 and over-% |\n| --- | --- | --- | --- | --- |\n| 1990 | 6% | 8% | 4% | 2% |\n| 1994 | 10% | 17% | 8% | 4% |\n| 1998 | 26% | 25% | 13% | 6% |\n| 2002 | 43% | 33% | 17% | 10% |\n| 2006 | 56.5% | 40% | 19% | 12% |\n| 2010 | 54% | 47% | 39% | 19% |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/46f5d613ad2e67b46a34070ca31965f5.png", "anno": "| | |\n| --- | --- |\n| 10.26 | 1 |\n| 10.27 | 4 |\n| 10.28 | 7 |\n| 10.29 | 5 |\n| 10.30 | 10 |\n| 10.31 | 13 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/8e19369023e03fcfdb35ed533cb63e27.png", "anno": "| Time | Score |\n| --- | --- |\n| $ T_{1} $ | 80 |\n| $ T_{2} $ | 100 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/82c2e5c521d93bf84024685aaea72395.png", "anno": "| Days | ideal-PH | Remaining-PH | Planned-PH |\n| --- | --- | --- | --- |\n| 1 | 24 | 24 | 24 |\n| 2 | 18 | 18 | 24 |\n| 3 | 13 | 18 | 32 |\n| 4 | 9 | 12 | 32 |\n| 5 | 5 | 6 | 32 |\n| 6 | 0 | 0 | 32 |", "chart_type": "折线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/2b2ed07d9b6f4554aa6c207f0e316668.png", "anno": "### 船舶到港次数\n#### 图3：2015年7月15日-10月14日，汉堡港、鹿特丹港、安特卫普港、菲利克斯港和不来梅哈芬港的船舶到港次数\n| | July 15 - August 14-次数 | August 15 - September 14-次数 | September 15 - October 14-次数 |\n| --- | --- | --- | --- |\n| Hamburg | 340 | 335 | 350 |\n| Rotterdam | 475 | 455 | 455 |\n| Antwerp | 295 | 310 | 305 |\n| Felixstowe | 130 | 125 | 150 |\n| Bremerhaven | 250 | 240 | 245 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/81d423d314785820b3842457cd0e3f3a.png", "anno": "### 图表标题\n\n| | 年龄 | 成绩 |\n| --- | --- | --- |\n| 男 张三 | 48 | 31 |\n| 女 李四 | 31 | 87 |\n| 男 王五 | 22 | 76 |\n| 女 刘一 | 38 | 59 |\n| 女 秦八 | 29 | 99 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/fdc2a805191aad5aa9de54baa0aed32b.png", "anno": "### 销售业绩表\n\n| | 北京 | 深圳 | 上海 |\n| --- | --- | --- | --- |\n| 张三 | 100万 | | |\n| 李六 | 500万 | 20万 | |\n| 赵四 | 200万 | | 10万 |\n| 王五 | | 50万 | 20万 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/2cb554c4118440d80fb5ff7358a201ee.png", "anno": "### External sales of the company in recent September\n### 近九月公司对外销售额\n#### 科学.有效信息图\n\n| | |\n| --- | --- |\n| 2月 | 170 |\n| 3月 | 285 |\n| 4月 | 370 |\n| 5月 | 445 |\n| 6月 | 480 |\n| 7月 | 480 |\n| 8月 | 440 |\n| 9月 | 290 |\n| 10月 | 145 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/f2d06448d37a4a983052dd1677abdbc4.png", "anno": "| | (历届理事会单位个数) |\n| --- | --- |\n| 第一届 | 23 |\n| 第二届 | 37 |\n| 第三届 | 88 |\n| 第四届 | 156 |\n| 第五届 | 227 |\n| 第六届 | 268 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/4079fef7c50d67cc3be1c917f486df2a.png", "anno": "### 不同城市开发者收入范围分布\n#### 数据来源：CSDN网站2012年中国软件开发者薪资大调查\n\n| 城市 | 不到3,000元 | 3,000~5,000元 | 5,000~1万元 | 1万元以上 |\n| --- | --- | --- | --- | --- |\n| 上海 | 4.3 | 18.4 | 44 | 33.3 |\n| 北京 | 6.7 | 16.6 | 45.9 | 30.8 |\n| 深圳 | 5.1 | 23.2 | 52.7 | 19 |\n| 杭州 | 11.4 | 19.1 | 52.7 | 16.8 |\n| 大连 | 7.2 | 30.9 | 45.5 | 16.4 |\n| 广州 | 12.1 | 23.6 | 48.7 | 15.6 |\n| 南京 | 13.5 | 22.4 | 51.9 | 12.2 |\n| 苏州 | 15.2 | 36.3 | 36.4 | 12.1 |\n| 珠海 | 12 | 38 | 38 | 12 |\n| 天津 | 14.5 | 37.1 | 37.1 | 11.3 |\n| 成都 | 17.1 | 32.8 | 43.2 | 6.9 |\n| 武汉 | 29.2 | 29.2 | 34.7 | 6.9 |\n| 厦门 | 15.8 | 36.8 | 40.8 | 6.6 |\n| 青岛 | 30.6 | 24.5 | 38.8 | 6.1 |\n| 西安 | 22.5 | 27.1 | 45 | 5.4 |\n| 沈阳 | 31.3 | 41.7 | 22.8 | 4.2 |\n| 济南 | 28.8 | 37.8 | 31.6 | 1.8 |\n| 其它 | 30.6 | 33.7 | 29 | 6.7 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/fa7ba638b1f593509a53e28dec762b8c.png", "anno": "| | 汉中市-降雨量/mL | 西安市-降雨量/mL | 渭南市-降雨量/mL | 宝鸡市-降雨量/mL |\n| --- | --- | --- | --- | --- |\n| 实验一 | 8.4 ± 0.6 | 6.3 ± 0.5 | 6.1 ± 0.5 | 6.4 ± 0.4 |\n| 实验二 | 5.7 ± 0.1 | 5.4 ± 0.1 | 6.2 ± 0.1 | 5.0 ± 0.05 |\n| 实验三 | 14.0 ± 0.7 | 11.7 ± 0.6 | 12.2 ± 0.6 | 11.3 ± 0.5 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/07158db1e103325b498ecd6b30693aed.png", "anno": "### 企业综合同比平均增长48.0%\n#### 成本投入\n| | 企业同比 |\n| --- | --- |\n| 2014 | 68 |\n| 2015 | 96 |\n\n#### 总盈亏比\n| | 企业同比 |\n| --- | --- |\n| 2016 | 20 |\n| 2017 | 36 |\n\n#### 人员增长\n| | 企业同比 |\n| --- | --- |\n| 2018 | 168 |\n| 2019 | 209 |\n\n#### 产品成本\n| | 企业同比 |\n| --- | --- |\n| 2020 | 108 |\n| 2021 | 159 |\n\n#### 总营业额\n| | 企业同比 |\n| --- | --- |\n| 2022 | 365 |\n| 2023 | 408 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/c6bb33c5b61cf213b27d877e3c216fea.png", "anno": "| | 销量 | 产量 |\n| --- | --- | --- |\n| 四川省 | 197000.00 | 261800.00 |\n| 河北省 | 182000.00 | 242000.00 |\n| 河南省 | 171000.00 | 229300.00 |\n| 山东省 | 158000.00 | 209700.00 |\n| 广东省 | 142000.00 | 190000.00 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/32fddaa1abf2e64924754f41b7eb6a8f.png", "anno": "### 钙含量比例\n\n| | 钙含量比例 |\n| --- | --- |\n| 葡萄酸钙 | 9% |\n| 乳酸钙 | 13% |\n| 碳酸钙 | 40% |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1d7130d452e858f369daad0e7f63dfeb.png", "anno": "### 为了知乎网的回答做个例子\n\n| | 2017年 | 2018年 | 2019年 |\n| --- | --- | --- | --- |\n| 第一季度 | 110 | 123 | 132 |\n| 第二季度 | 148 | 133 | 106 |\n| 第三季度 | 100 | 141 | 134 |\n| 第四季度 | 68 | 76 | 65 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/aed8512eb5884acc8186ccc4717bb45c.png", "anno": "### 开发项目所面向的不同操作系统开发者收入范围分布\n#### 数据来源：CSDN网站2012年中国软件开发者薪资大调查\n\n| 操作系统 | 3千元以下 | 3~5千元 | 5千~1万元 | 1万元以上 |\n| --- | --- | --- | --- | --- |\n| Oracle Solaris | 11.5 | 15.4 | 46.2 | 26.9 |\n| Linux | 6.9 | 18.7 | 47 | 25.4 |\n| Mac | 16.3 | 16.3 | 42.9 | 24.5 |\n| HP-UX | 17.0 | 10.7 | 50 | 21.4 |\n| IBM AIX | 2.1 | 15.4 | 62.6 | 19.8 |\n| Windows Client | 15.1 | 27.8 | 43.9 | 14.5 |\n| Windows Server | 17.8 | 29.1 | 38.7 | 14.4 |\n| Google App Engine | 22 | 26.7 | 40 | 13.3 |\n| 其它 | 22.4 | 22.4 | 36.5 | 18.7 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/502baf02838d2555d43c0afa929e30af.png", "anno": "### 某商场销售情况\n\n| | 商家A | 商家B | 商家C |\n| --- | --- | --- | --- |\n| 连衣裙 | 114 | 57 | 97 |\n| T恤 | 55 | 134 | 11 |\n| 短裤 | 27 | 137 | 55 |\n| 九分裤 | 101 | 129 | 88 |\n| 半身裙 | 125 | 145 | 99 |\n| 高跟凉鞋 | 27 | 60 | 60 |\n| 丝袜 | 105 | 49 | 98 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/7d62ee57347b236f922066bc47c078af.png", "anno": "| 数值 | 混角度M-相对频率 | 密集度C-相对频率 | 角尺度W-相对频率 | 大小比数U-相对频率 |\n| --- | --- | --- | --- | --- |\n| 0 | | 0.105 | | 0.160 |\n| 0.25 | | 0.105 | 0.210 | 0.315 |\n| 0.5 | | 0.315 | 0.420 | 0.210 |\n| 0.75 | 0.420 | 0.160 | 0.370 | 0.160 |\n| 1 | 0.580 | 0.315 | | 0.160 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/5ed412cb55c1ce8aa9df23b928b4543c.png", "anno": "### 企业八年销售额增长45.0%\n\n| | |\n| --- | --- |\n| 2022 | 408 |\n| 2021 | 365 |\n| 2020 | 209 |\n| 2019 | 159 |\n| 2018 | 159 |\n| 2017 | 108 |\n| 2016 | 96 |\n| 2015 | 68 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/04ad9a5c74e6191e96aa138cefbe8cb9.png", "anno": "### 图表29:全球手机出货量结构\n\n| | 5G手机出货量 | 4G手机出货量 | 3G手机出货量 | 2G手机出货量 |\n| --- | --- | --- | --- | --- |\n| 2023 | 80% | 16% | 0% | 4% |\n| 2022 | 80% | 17% | 0% | 3% |\n| 2021 | 76% | 22% | 0% | 2% |\n| 2020 | 53% | 43% | 0% | 4% |\n| 2019 | 4% | 92% | 0% | 4% |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/62e6f02485960d906145ad55c9d3c946.png", "anno": "| 食品名 | 男生-人数/人 | 女生-人数/人 |\n| --- | --- | --- |\n| 面包 | 16 | 18 |\n| 酸奶 | 8 | 6 |\n| 膨化食品 | 12 | 16 |\n| 鸡蛋 | 4 | 8 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/14e591ca7a3005d8dddf509bede8197f.png", "anno": "| | 蓝色系列 | 绿色系列 |\n| --- | --- | --- |\n| 一月 | 38 | 26 |\n| 二月 | 52 | 33 |\n| 三月 | 72 | 48 |\n| 四月 | 55 | 29 |\n| 五月 | 36 | 20 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/55499ec3d4118086c602539c92e869ad.png", "anno": "| | 系列1 | 系列2 | 系列3 |\n| --- | --- | --- | --- |\n| 类别1 | 4.3 | 2.4 | 2.0 |\n| 类别2 | 2.5 | 4.4 | 2.0 |\n| 类别3 | 3.5 | 1.8 | 3.0 |\n| 类别4 | 4.5 | 2.8 | 5.0 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b3033ff319d0d133fd6ab1eba54ec76d.png", "anno": "### 2018—2021企业总收入稳步增长\n\n| | |\n| --- | --- |\n| 2018 | 70.3亿元 |\n| 2019 | 0.4亿元 |\n| 2020 | 0 |\n| 2021 | 0 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3291368c93f3464f715ea9e23fd86b41.png", "anno": "| | |\n| --- | --- |\n| 一月 | 38 |\n| 二月 | 52 |\n| 三月 | 72 |\n| 四月 | 55 |\n| 五月 | 36 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/bf6bd09fc3ff30bf3b13cdb79359871e.png", "anno": "### 柱状图\n\n| | |\n| --- | --- |\n| 个人业主 | 4119 |\n| | 8481 |\n| 国家机关处级以下 | 4153 |\n| | 1039 |\n| 企业高层工作人员 | 5192 |\n| | 14539 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/63fdfd6640aa6e8d716d69999a5099f5.png", "anno": "### 销量分析\n| 年份 | 产品A-销量 | 产品B-销量 |\n| --- | --- | --- |\n| 2016年 | 200 | 251 |\n| 2017年 | 190 | 292 |\n| 2018年 | 141 | 170 |\n| 2019年 | 332 | 209 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/4d3bcfa6030e585d993e68ba2e54154b.png", "anno": "### 2016-2021年平均每年增长20%\n| | 平均每年增长 | 平均每年增长 |\n| --- | --- | --- |\n| 2016 | 390 | 390 |\n| 2017 | 540 | 540 |\n| 2018 | 695 | 695 |\n| 2019 | 850 | 850 |\n| 2020 | 980 | 980 |\n| 2021 | 128 | 128 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/91c139e035bff5bdc81a39e7b3bb1780.png", "anno": "### 奖牌榜\n\n| | 金牌-奖牌数 | 银牌-奖牌数 | 铜牌-奖牌数 |\n| --- | --- | --- | --- |\n| 一队 | 10 | 36 | 32 |\n| 二队 | 28 | 22 | 18 |\n| 三队 | 26 | 18 | 26 |\n| 四队 | 18 | 18 | 20 |\n| 五队 | 16 | 10 | 16 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/d4134b0f541220d94728834b99f60fd1.png", "anno": "### Graphpad prism 分组柱状图绘制\n#### Data 1\n| | Ctrl-YTitle | Model-YTitle |\n| --- | --- | --- |\n| 12h | 24.0 ± 3.4 | 40.0 ± 4.8 |\n| 24h | 30.5 ± 4.5 | 48.0 ± 6.0 |\n\n#### HUVEC\n| | Ctrl-Number of tublets | Model-Number of tublets |\n| --- | --- | --- |\n| 12h | 24.0 ± 3.6 | 40.5 ± 4.3 |\n| 24h | 30.5 ± 4.5 | 48.6 ± 5.8 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/e8a4e1b2fbbd8d12c22758672e2a566a.png", "anno": "### 图表标题\n\n| | 列1 | 列2 |\n| --- | --- | --- |\n| 10 | 30 | 5 |\n| 20 | 40 | 10 |\n| 30 | 60 | 18 |\n| 40 | 80 | 22 |\n| 50 | 100 | 30 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3d2135e8cd8748262903f3fac1804e59.png", "anno": "| | 蓝色系列 | 绿色系列 |\n| --- | --- | --- |\n| 一月 | 38 | 26 |\n| 二月 | 52 | 34 |\n| 三月 | 72 | 48 |\n| 四月 | 55 | 30 |\n| 五月 | 36 | 21 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/4ff2b2ec5c177e7124da99f5ef24c5f4.png", "anno": "| | 系列1 | 系列2 | 系列3 |\n| --- | --- | --- | --- |\n| 类别1 | 4.3 | 2.4 | 2 |\n| 类别2 | 2.5 | 4.4 | 2 |\n| 类别3 | 3.5 | 1.8 | 3 |\n| 类别4 | 4.5 | 2.8 | 5 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/de2fe761d4d26c548b61b2bddfb99cb2.png", "anno": "柱状图1(0,0),(0,0)\n### 2月业绩\n| | 业绩 |\n| --- | --- |\n| 销售1部 | 4056 |\n| 销售2部 | 4833 |\n| 销售3部 | 4958 |\n| 销售4部 | 2986 |\n| 销售5部 | 4676 |\n| 销售6部 | 3211 |\n\n柱状图2(0,0),(0,0)\n### 销售部2月业绩对比创意柱状图\n| | 业绩 |\n| --- | --- |\n| 销售1部 | 4064 |\n| 销售2部 | 4865 |\n| 销售3部 | 4959 |\n| 销售4部 | 3028 |\n| 销售5部 | 4677 |\n| 销售6部 | 3103 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a5b948d9af8b3a6d1411b7f30dd2e996.png", "anno": "### 小红书服饰行业品类笔记数\n| | 笔记篇数 |\n| --- | --- |\n| 连衣裙 | 206428 |\n| T恤 | 132241 |\n| 休闲裤 | 88872 |\n| 衬衫 | 50682 |\n| 背心/吊带 | 35855 |\n| 半身裙 | 35114 |\n| 牛仔裤 | 29270 |\n| 针织衫/毛衣 | 23214 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/5cf82486670eff539e8f8659c3b14816.png", "anno": "| | 支出 | 收入 |\n| --- | --- | --- |\n| Sun | -310 | 380 |\n| Sat | -230 | 250 |\n| Fri | -290 | 290 |\n| Thu | -134 | 274 |\n| Wed | -101 | 241 |\n| Tue | -132 | 202 |\n| Mon | -120 | 320 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/e4e024db83eac11356abb0fd9d11f82d.png", "anno": "| | 产品A | 产品B |\n| --- | --- | --- |\n| 2016年 | 200 | 250 |\n| 2017年 | 190 | 290 |\n| 2018年 | 140 | 170 |\n| 2019年 | 330 | 210 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/bf5e4ab97458d61af9041c4754dac170.png", "anno": "| | |\n| --- | --- |\n| 1月 | 6.7 |\n| 3月 | 5.9 |\n| 5月 | 4.9 |\n| 7月 | 3.9 |\n| 9月 | 2.0 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b4dfff7181915933d3c21a0d9c4e4325.png", "anno": "### 近五年营业额提升68%\n\n| | 千万 |\n| --- | --- |\n| 2016 | 888 |\n| 2017 | 1280 |\n| 2018 | 2850 |\n| 2019 | 3560 |\n| 2020 | 5000 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/6473324890d5728ef888c98970f25ba0.png", "anno": "| | GDP |\n| --- | --- |\n| 英国 | 10 |\n| 美国 | 20 |\n| 中国 | 30 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3caf092d2015587ab8f4be4dd376e351.png", "anno": "| | |\n| --- | --- |\n| 一月 | 38 |\n| 二月 | 52 |\n| 三月 | 72 |\n| 四月 | 55 |\n| 五月 | 36 |\n| 六月 | 48 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3cabd02c506dbbfcb73caa28820fd71b.png", "anno": "### 各编程语言开发者收入范围分布\n#### 数据来源：CSDN网站2012年中国软件开发者薪资大调查\n\n| 语言 | 3千元以下 | 3~5千元 | 5千~1万元 | 1万元以上 |\n| --- | --- | --- | --- | --- |\n| Objective-C | 10.2 | 17.7 | 40.5 | 31.6 |\n| C++ | 11.3 | 20.1 | 42.3 | 26.3 |\n| Python | 6.8 | 15.9 | 52.3 | 25 |\n| C | 11.1 | 20.7 | 46.3 | 21.9 |\n| PL/SQL | 8 | 28 | 46.7 | 17.3 |\n| C# | 13.9 | 26.2 | 42.7 | 17.2 |\n| JavaScript | 14.2 | 25.9 | 42.9 | 17 |\n| Java | 14.8 | 26 | 42.9 | 16.3 |\n| Delphi | 14.8 | 14.8 | 57.4 | 13 |\n| ActionScript | 9.7 | 32.3 | 45.2 | 12.9 |\n| PHP | 19.8 | 28 | 39.8 | 12.4 |\n| VisualBasi | 17.8 | 28.6 | 46.6 | 7 |\n| 其他 | 18.7 | 24.6 | 36.6 | 20.1 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/20d51c4ad1142afe9fbcad251530b495.png", "anno": "| | |\n| --- | --- |\n| 3月支出 | -120 |\n| 3月收入 | 150 |\n| 2月支出 | -88 |\n| 2月收入 | 100 |\n| 1月支出 | -55 |\n| 1月收入 | 128 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/2eeeffacbb9faa60f3dec25df502fa33.png", "anno": "| | 北京 | 深圳 | 上海 |\n| --- | --- | --- | --- |\n| 张三 | 100万 | | |\n| 李六 | 500万 | 20万 | |\n| 赵四 | 200万 | | 10万 |\n| 王五 | | 50万 | 20万 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/13ac5b50c78e3de8e20a238276ff0b7e.png", "anno": "### 公司2016--2018年主要经济指标增长情况\n\n| 年 | 利润（亿元） | 营业收入（亿元） | 企业总产值（亿元） | 新签合同额（亿元） |\n| --- | --- | --- | --- | --- |\n| 2016年度 | 0.47 | 81.28 | 82.65 | 139.02 |\n| 2017年度 | 0.59 | 90.32 | 95.53 | 157.95 |\n| 2018年度 | 0.75 | 103.00 | 110.11 | 170.00 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/cff58ad656abae98395d4fee394810bf.png", "anno": "### 未来三年预计销量(单位:亿)\n\n| | 2021年 | 2022年 | 2023年 |\n| --- | --- | --- | --- |\n| 2021 | 500 | | |\n| 2022 | | 800 | |\n| 2023 | | | 1100 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/c20246902bb146ef2480e1bb452ae40a.png", "anno": "| | y轴 |\n| --- | --- |\n| 分类一 | 30 |\n| 分类二 | 40 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/94142a9189b811bf92b5f6b5d46f0390.png", "anno": "| | | |\n| --- | --- | --- |\n| 五月 | 32 | 36 |\n| 四月 | 29 | 55 |\n| 三月 | 28 | 31 |\n| 二月 | 33 | 52 |\n| 一月 | 26 | 38 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/31d28f2ab32f16c2034f40c32d6910aa.png", "anno": "### 各省份门店数量及销售额分区柱形图\n\n| 省份 | 成本 |\n| --- | --- |\n| 湖北省 | 143,281.24 |\n| 四川省 | 414,322.53 |\n| 湖南省 | 417,721.90 |\n| 广东省 | 1,359,508.66 |\n| 上海市 | 222,787.95 |\n\n| 省份 | 销售额 |\n| --- | --- |\n| 湖北省 | 338,397.41 |\n| 四川省 | 1,006,370.83 |\n| 湖南省 | 985,034.47 |\n| 广东省 | 3,734,782.08 |\n| 上海市 | 504,871.65 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0d5f163a76916fe09b4ff3123b8537de.png", "anno": "### 小红书2019至今DAU增长数据\n\n| | DAU增长-万 |\n| --- | --- |\n| 2019-01 | 1500 |\n| 2019-07 | 2100 |\n| 2020-01 | 2300 |\n| 2020-07 | 3500 |\n| 2021-01 | 5400 |\n| 2021-07 | 7100 |\n| 2022-01 | 9100 |\n| 2022-07 | 9800 |\n| 2023-01 | 10,300 |\n| 2023-07 | 10,000 |\n| 2024-01 | 10,300 |\n| 2024-04 | 10,800 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/9ef8d54095585190059f044e40ff7780.png", "anno": "| | 总数 | 1月 | 2月 | 3月 | 4月 | 5月 | 6月 | 7月 | 8月 | 9月 | 10月 | 11月 | 12月 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2020 | 88 | 10 | 12 | 8 | 9 | 10 | 9 | 5 | 5 | 5 | 5 | 5 | 5 |\n| 2021 | 150 | 11 | 13 | 10 | 14 | 17 | 13 | 12 | 12 | 12 | 12 | 12 | 12 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/e80e750b3f7879669249e3114087e016.png", "anno": "柱状图1(0,0),(0,0)\n### 完成率\n\n| | 完成率 |\n| --- | --- |\n| 电脑 | 60% |\n| 键盘 | 91% |\n| 平板 | 48% |\n| 手表 | 38% |\n| 手环 | 83% |\n| 手机 | 24% |\n| 鼠标 | 13% |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/957f9f1e83f379b4ac528e0c65ad4b27.png", "anno": "### 企业八年销售额增长57.0%\n| | 企业八年销售额|\n| --- | --- |\n| 2015 | 68 |\n| 2016 | 96 |\n| 2017 | 108 |\n| 2018 | 159 |\n| 2019 | 168 |\n| 2020 | 209 |\n| 2021 | 365 |\n| 2022 | 408 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/854c4a4031df503eb42b06417b5144da.png", "anno": "| X | product1-value | product2-value |\n| --- | --- | --- |\n| 名字很长的X轴标签1 | 12 | 3 |\n| 名字很长的X轴标签2 | 23 | 21 |\n| 名字很长的X轴标签3 | 33 | 5 |\n| 名字很长的X轴标签4 | 3 | 52 |\n| 名字很长的X轴标签5 | 33 | 43 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/75790da8e57dfdafbcbdbda579eb205c.png", "anno": "### Scheduled electric generating capacity additions in 2016 (Unit: GW)\n#### Image: EIA\n\n| | solar(9.5 GW)-gigawatts | natural gas(8.0 GW)-gigawatts | wind(6.8 GW)-gigawatts | nuclear(1.1 GW)-gigawatts | hydro(0.3 GW)-gigawatts | petroleum and other(0.3 GW)-gigawatts |\n| --- | --- | --- | --- | --- | --- | --- |\n| Jan | 0.35 | | 0.55 | | 0.05 | |\n| Feb | 0.24 | 0.48 | 0.28 | | 0.12 | |\n| Mar | 0.16 | 1.40 | 0.13 | | 0.09 | |\n| Apr | 0.35 | | 0.26 | 1.20 | | |\n| May | 0.15 | 3.10 | 0.25 | | | |\n| Jun | 0.62 | 2.00 | 0.40 | | | |\n| Jul | 0.60 | | | | | |\n| Aug | 0.88 | | | | | |\n| Sep | 1.46 | 0.30 | 0.25 | | 0.05 | |\n| Oct | 1.30 | 0.20 | 0.40 | | 0.02 | 0.08 |\n| Nov | 0.75 | 0.15 | 0.6 | | | |\n| Dec | 2.88 | 0.09 | 3.7 | | | |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/42841d3a08f73146c134863eeb0c229b.png", "anno": "### American credit cards come cheap on the black market\n#### Estimated per card prices, in US$, for stolen payment card data (Visa, MasterCard, Amex, Discover)\n#### Source: Intel Security\n\n| | Software-generated-$ | With bank id number-$ | With date of birth-$ | With full personal details-$ |\n| --- | --- | --- | --- | --- |\n| United States | 8 | 15 | 15 | 30 |\n| United Kingdom | 25 | 25 | 30 | 35 |\n| Canada | 25 | 25 | 30 | 40 |\n| Australia | 25 | 25 | 30 | 40 |\n| European Union | 30 | 30 | 35 | 45 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7904195b1ccdca8e55d4a253498a14d2.png", "anno": "柱状图1(0,0),(0,0)\n\n| | 1990 | 2010 |\n| --- | --- | --- |\n| 18-25 | 17% | 7% |\n| 26-35 | 31% | 24% |\n| 36-50 | 42% | 35% |\n| 51-65 | 35% | 39% |\n| >65 | 32% | 35% |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/e883c2c2c30a10102afbe7f20b36e644.png", "anno": "| | |\n| --- | --- |\n| 9/1 | $10 |\n| 9/2 | $12 |\n| 9/3 | $11 |\n| 9/4 | $15 |\n| 9/5 | $20 |\n| 9/6 | $22 |\n| 9/7 | $21 |\n| 9/8 | $25 |\n| 9/9 | $31 |\n| 9/10 | $32 |\n| 9/11 | $28 |\n| 9/12 | $29 |\n| 9/13 | $40 |\n| 9/14 | $41 |\n| 9/15 | $45 |\n| 9/16 | $50 |\n| 9/17 | $64 |\n| 9/18 | $45 |\n| 9/19 | $50 |\n| 9/20 | $51 |\n| 9/21 | $64 |\n| 9/22 | $60 |\n| 9/23 | $62 |\n| 9/24 | $65 |\n| 9/25 | $45 |\n| 9/26 | $55 |\n| 9/27 | $59 |\n| 9/28 | $52 |\n| 9/29 | $53 |\n| 9/30 | $40 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/bc93e102b98c023ab47e3f88471827b8.png", "anno": "柱状图1(0,0),(0,0)\n### Average Annual Salaries of Fintech Developers\n\n| | Average Annual Salaries |\n| --- | --- |\n| the USA | $88,000 |\n| the UK | $50,000 |\n| France | $67,000 |\n| Germany | $59,000 |\n| Belgium | $62,400 |\n| Denmark | $80,000 |\n| Ukraine | $21,700 |\n| Israel | $50,600 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4d390e3df804312342c8072911b8a7c1.png", "anno": "### D\n| | | Relative NGAL mRNA |\n| --- | --- | --- |\n| IRI | HEX: D0DCE8 / RGB: 208 220 232 | 1.0 ± 0.18 |\n| IRI+PPARγi | HEX: FAE6CB / RGB: 250 230 203 | 1.04 ± 0.13 |\n| IRI+UDCA | HEX: AFB6D0 / RGB: 175 182 208 | 0.4 ± 0.08 |\n| IRI+UDCA+PPARγi | HEX: E8D3D2 / RGB: 232 211 210 | 0.73 ± 0.06 |\n\n### E\n| | | Tubular injury score |\n| --- | --- | --- |\n| IRI | HEX: D0DCE8 / RGB: 208 220 232 | 4.18 ± 0.2 |\n| IRI+PPARγi | HEX: FAE6CB / RGB: 250 230 203 | 3.86 ± 0.2 |\n| IRI+UDCA | HEX: AFB6D0 / RGB: 175 182 208 | 1.78 ± 0.38 |\n| IRI+UDCA+PPARγi | HEX: E8D3D2 / RGB: 232 211 210 | 3.2 ± 0.23 |\n\n### F\n| | | TUNEL+ cells/HPF |\n| --- | --- | --- |\n| IRI | HEX: D0DCE8 / RGB: 208 220 232 | 13.7 ± 1.5 |\n| IRI+PPARγi | HEX: FAE6CB / RGB: 250 230 203 | 12.7 ± 1 |\n| IRI+UDCA | HEX: AFB6D0 / RGB: 175 182 208 | 3.9 ± 0.8 |\n| IRI+UDCA+PPARγi | HEX: E8D3D2 / RGB: 232 211 210 | 7.6 ± 0.9 |\n\n### H\n| | | Relative CPT1B mRNA |\n| --- | --- | --- |\n| IRI | HEX: D0DCE8 / RGB: 208 220 232 | 1.0 ± 0.1 |\n| IRI+PPARγi | HEX: FAE6CB / RGB: 250 230 203 | 1.5 ± 0.35 |\n| IRI+UDCA | HEX: AFB6D0 / RGB: 175 182 208 | 3.2 ± 0.53 |\n| IRI+UDCA+PPARγi | HEX: E8D3D2 / RGB: 232 211 210 | 1.7 ± 0.18 |\n\n| | | Relative PLIN2 mRNA |\n| --- | --- | --- |\n| IRI | HEX: D0DCE8 / RGB: 208 220 232 | 1.0 ± 0.5 |\n| IRI+PPARγi | HEX: FAE6CB / RGB: 250 230 203 | 1.1 ± 0.2 |\n| IRI+UDCA | HEX: AFB6D0 / RGB: 175 182 208 | 0.28 ± 0.5 |\n| IRI+UDCA+PPARγi | HEX: E8D3D2 / RGB: 232 211 210 | 0.75 ± 0.1 |\n\n| | | Relative UCP1 mRNA |\n| --- | --- | --- |\n| IRI | HEX: D0DCE8 / RGB: 208 220 232 | 1.0 ± 0.2 |\n| IRI+PPARγi | HEX: FAE6CB / RGB: 250 230 203 | 0.78 ± 0.18 |\n| IRI+UDCA | HEX: AFB6D0 / RGB: 175 182 208 | 3.45 ± 0.6 |\n| IRI+UDCA+PPARγi | HEX: E8D3D2 / RGB: 232 211 210 | 1.42 ± 0.38 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/58ea168679fea9ad60959ec7c71e0f51.png", "anno": "| | |\n| --- | --- |\n| 2016 | 82 |\n| 2017 | 62 |\n| 2018 | 157 |\n| 2019 | 179 |\n| 2020 | 123 |\n| 2021 | 107 |\n| 2022 | 142 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/f058c54297f4a1d45e770d468b31ca4f.png", "anno": "### UK Firms Expect Inflation to Stay Above Target for Years\n#### Source: BOE Decision Maker Panel Survey\n#### Note: Data for single month only\n\n| | 1-year ahead CPI expectations | 3-year ahead | BOE target |\n| --- | --- | --- | --- |\n| May 2022 | 6.9% | 3.8% | 2.0% |\n| Jun 2022 | 7.4% | 4.0% | 2.0% |\n| Jul 2022 | 7.4% | 4.1% | 2.0% |\n| Aug 2022 | 8.3% | 4.2% | 2.0% |\n| Sep 2022 | 9.5% | 4.8% | 2.0% |\n| Oct 2022 | 7.6% | 4.0% | 2.0% |\n| Nov 2022 | 7.3% | 3.9% | 2.0% |\n| Dec 2022 | 7.4% | 4.0% | 2.0% |\n| Jan 2023 | 6.5% | 3.7% | 2.0% |\n| Feb 2023 | 5.9% | 3.4% | 2.0% |\n| Mar 2023 | 5.8% | 3.5% | 2.0% |\n| Apr 2023 | 5.6% | 3.4% | 2.0% |\n| May 2023 | 5.9% | 3.5% | 2.0% |\n| Jun 2023 | 5.8% | 3.7% | 2.0% |\n| Jul 2023 | 5.5% | 3.3% | 2.0% |\n| Aug 2023 | 4.9% | 3.2% | 2.0% |\n| Sep 2023 | 4.9% | 3.3% | 2.0% |\n| Oct 2023 | 4.6% | 3.1% | 2.0% |\n| Nov 2023 | 4.5% | 3.3% | 2.0% |\n| Dec 2023 | 4.0% | 2.9% | 2.0% |\n| Jan 2024 | 3.4% | 2.7% | 2.0% |\n| Feb 2024 | 3.3% | 2.7% | 2.0% |\n| Mar 2024 | 3.2% | 2.7% | 2.0% |\n| Apr 2024 | 2.9% | 2.6% | 2.0% |\n| May 2024 | 2.9% | 2.6% | 2.0% |\n| Jun 2024 | 2.8% | 2.7% | 2.0% |\n| Jul 2024 | 2.5% | 2.5% | 2.0% |\n| Aug 2024 | 2.6% | 2.7% | 2.0% |\n| Sep 2024 | 2.7% | 2.7% | 2.0% |\n| Oct 2024 | 2.5% | 2.5% | 2.0% |\n| Nov 2024 | 2.9% | 2.7% | 2.0% |\n| Dec 2024 | 3.0% | 2.9% | 2.0% |\n| Jan 2025 | 3.0% | 2.7% | 2.0% |\n| Feb 2025 | 3.1% | 2.7% | 2.0% |\n| Mar 2025 | 3.4% | 3.0% | 2.0% |\n| Apr 2025 | 3.1% | 2.7% | 2.0% |\n| May 2025 | 3.0% | 2.7% | 2.0% |\n| Jun 2025 | 3.3% | 2.9% | 2.0% |\n| Jul 2025 | 3.3% | 2.8% | 2.0% |\n| Aug 2025 | 3.4% | 3.0% | 2.0% |\n| Sep 2025 | 3.4% | 3.0% | 2.0% |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/b0bf79bf7aa99c83dab433c8762ab144.png", "anno": "### Reasons for study according to age of student\n| Age | For career-% | For interest-% |\n| --- | --- | --- |\n| under 26 | 80 | 10 |\n| 26-29 | 70 | 16 |\n| 30-39 | 57 | 24 |\n| 40-49 | 41 | 41 |\n| over 49 | 19 | 70 |\n\n### Employer support, by age group (Time off and help with fees)\n| Age | Employer support-% |\n| --- | --- | --- |\n| under 26 | 65 |\n| 26-29 | 52 |\n| 30-39 | 34 |\n| 40-49 | 38 |\n| over 49 | 45 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/fbb903299a3f1f4b43834aa260e2e6b3.png", "anno": "柱状图1(0,0),(0,0)\n### Currency exposure to \"red sweep\" and beta (risk sentiment)\n\n| | Red sweep exposure-Exposure coefficient | Beta exposure-Exposure coefficient |\n| --- | --- | --- |\n| NOK | 0.19 | 0.23 |\n| AUD | 0.13 | 0.16 |\n| NZD | 0.12 | 0.20 |\n| SEK | 0.12 | 0.18 |\n| CAD | 0.08 | 0.09 |\n| EUR | 0.07 | 0.13 |\n| GBP | 0.04 | 0.12 |\n| CHF | 0.02 | 0.04 |\n| JPY | -0.03 | -0.01 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2aef583839f7bd9d12b832fecfe7c3f1.png", "anno": "| | Children-Percentage of the population consuming | Adults--Percentage of the population consuming |\n| --- | --- | --- |\n| High tropic | 3.3% | 5.6% |\n| Aquaculture: high omega 3 | 1.4% | 4.3% |\n| Aquaculture: low omega 3 | 1.6% | 2.4% |\n| Popular table fish | 2.2% | 2.6% |\n| Other fish products and mixed dishes | 2.2% | 3.0% |\n| Molluscs | 0.7% | 1.3% |\n| Crustacean | 0.6% | 1.2% |\n| Small pelagic species | 0.3% | 0.9% |\n| Underutilised species | 0.0% | 0.1% |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2579b772efc42ff97402078160ed4757.png", "anno": "| | |\n| --- | --- |\n| 1 | 100 |\n| 2 | 76 |\n| 3 | 40 |\n| 4 | 66 |\n| 5 | 25 |\n| 6 | 5 |\n| 7 | 83 |\n| 8 | 74 |\n| 9 | 70 |\n| 10 | 98 |\n| 11 | 78 |\n| 12 | 41 |\n| 13 | 42 |\n| 14 | 72 |\n| 15 | 97 |\n| 16 | 42 |\n| 17 | 43 |\n| 18 | 1 |\n| 19 | 48 |\n| 20 | 95 |\n| 21 | 85 |\n| 22 | 12 |\n| 23 | 21 |\n| 24 | 92 |\n| 25 | 2 |\n| 26 | 65 |\n| 27 | 13 |\n| 28 | 56 |\n| 29 | 30 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/f60d27232f3899c0d0c419e4b76f8675.png", "anno": "### China's LNG Purchases\n#### U.S. LNG has accounted for 5.7% of China's imports over the last year: Bernstein\n#### Source: Sanford C. Bernstein & Co.\n\n| | All other LNG - Million Tons Imports - Million Tons | LNG Imports from U.S. - Million Tons |\n| --- | --- | --- |\n| Jan 2016 | 2.5 | |\n| Feb 2016 | 1.98 | |\n| Mar 2016 | 1.7 | |\n| Apr 2016 | 1.99 | |\n| May 2016 | 1.4 | |\n| Jun 2016 | 2.2 | |\n| Jul 2016 2016 | 1.6 | 0.08 |\n| Aug 2016 | 2.3 | |\n| Sep 2016 | 2.5 | |\n| Oct 2016 | 1.85 | |\n| Nov 2016 | 2.7 | 0.1 |\n| Dec 2016 | 3.5 | 0.12 |\n| Jan 2017 | 3.3 | 0.07 |\n| Feb 2017 | 2.2 | 0.2 |\n| Mar 2017 | 1.85 | 0.15 |\n| Apr 2017 | 2.1 | 0.06 |\n| May 2017 | 2.85 | |\n| Jun 2017 | 2.9 | 0.05 |\n| Jul 2017 | 3.1 | |\n| Aug 2017 | 3.0 | 0.15 |\n| Sep 2017 | 3.5 | |\n| Oct 2017 | 3.3 | 0.3 |\n| Nov 2017 | 3.6 | 0.42 |\n| Dec 2017 | 4.65 | 0.3 |\n| Jan 2018 | 4.55 | 0.55 |\n| Feb 2018 | 3.75 | 0.26 |\n| Mar 2018 | 3.12 | 0.08 |\n| Apr 2018 | 3.3 | 0.15 |\n| May 2018 | 3.6 | 0.4 |\n| Jun 2018 | 3.65 | 0.2 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a16ebaa73cce876f8020c32f14553fdd.png", "anno": "| Sample code | Radiation hazard index-Hex | Radiation hazard index-Hin | Radiation hazard index-$ I\\gamma $ | Radiation hazard index-$ I \\alpha $ |\n| --- | --- | --- | --- | --- |\n| A | 0.09 | 0.11 | 0.13 | 0.03 |\n| B | 0.12 | 0.14 | 0.19 | 0.03 |\n| C | 0.11 | 0.13 | 0.16 | 0.03 |\n| D | 0.11 | 0.13 | 0.16 | 0.03 |\n| E | 0.12 | 0.13 | 0.17 | 0.03 |\n| F | 0.14 | 0.16 | 0.20 | 0.04 |\n| G | 0.15 | 0.17 | 0.22 | 0.04 |\n| H | 0.10 | 0.12 | 0.15 | 0.04 |\n| J | 0.10 | 0.12 | 0.14 | 0.03 |\n| K | 0.11 | 0.14 | 0.16 | 0.05 |\n| L | 0.13 | 0.15 | 0.20 | 0.03 |\n| M | 0.11 | 0.12 | 0.16 | 0.03 |\n| N | 0.12 | 0.13 | 0.17 | 0.03 |\n| P | 0.10 | 0.12 | 0.15 | 0.03 |\n| Q | 0.14 | 0.17 | 0.21 | 0.04 |\n| R | 0.14 | 0.16 | 0.20 | 0.04 |\n| S | 0.12 | 0.14 | 0.17 | 0.04 |\n| T | 0.16 | 0.19 | 0.23 | 0.05 |\n| U | 0.13 | 0.15 | 0.19 | 0.04 |\n| V | 0.14 | 0.16 | 0.21 | 0.03 |\n| W | 0.14 | 0.16 | 0.21 | 0.03 |\n| X | 0.14 | 0.16 | 0.20 | 0.05 |\n| Y | 0.12 | 0.15 | 0.16 | 0.06 |\n| Z | 0.14 | 0.16 | 0.19 | 0.04 |\n| a | 0.14 | 0.15 | 0.20 | 0.03 |\n| b | 0.15 | 0.17 | 0.22 | 0.03 |\n| d | 0.12 | 0.13 | 0.18 | 0.02 |\n| e | 0.13 | 0.15 | 0.19 | 0.03 |\n| g | 0.14 | 0.15 | 0.20 | 0.03 |\n| h | 0.14 | 0.16 | 0.20 | 0.04 |\n| j | 0.13 | 0.15 | 0.19 | 0.03 |\n| n | 0.12 | 0.14 | 0.17 | 0.04 |\n| q | 0.10 | 0.11 | 0.14 | 0.02 |\n| r | 0.11 | 0.13 | 0.17 | 0.02 |\n| t | 0.11 | 0.13 | 0.16 | 0.04 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/3cbd419dad843229b1a044b1af6e41ab.png", "anno": "| | yyyyyy |\n| --- | --- |\n| A | 6.6 |\n| B | 8.6 |\n| C | 5.5 |\n| D | 2.5 |\n| E | 5.1 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/fa9ae435677335b02b18b55cce0214ca.png", "anno": "柱状图1(0,0),(0,0)\n### Figure 12. Fertility Preferences and Outcomes\n\n| | TFR of reproductive-age women in 2011-Children born per woman | CCF of women who were 34 in 2011-Children born per woman | General Ideal Family Size-Children born per woman | Intended Family Size-Children born per woman | Personal Ideal Family Size-Children born per woman |\n| --- | --- | --- | --- | --- | --- |\n| Spain | 1.3 | 1.3 | 2.0 | 2.1 | 1.9 |\n| Portugal | 1.3 | 1.6 | 2.0 | 2.0 | 1.8 |\n| Italy | 1.4 | 1.4 | 1.9 | 2.0 | 1.5 |\n| France | 2.0 | 2.0 | 2.3 | 2.3 | 2.3 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/c97b4c4c979a9b938e8d983d667db90e.png", "anno": "| | |\n| --- | --- |\n| A | 27.35229759% |\n| B | 24.28884026% |\n| C | 14.98905908% |\n| D | 33.36980306% |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/edd02f7ef548f9acd482602295bec5c3.png", "anno": "柱状图1(0,0),(0,0)\n### U.S. office leasing activity\n#### In million square feet, quarterly\n\n| Quarterly | U.S. office leasing activity |\n| --- | --- |\n| '16 Q1 | 51.8 |\n| '16 Q2 | 61.8 |\n| '16 Q3 | 61.0 |\n| '16 Q4 | 56.1 |\n| '17 Q1 | 56.0 |\n| '17 Q2 | 58.0 |\n| '17 Q3 | 62.6 |\n| '17 Q4 | 61.6 |\n| '18 Q1 | 57.0 |\n| '18 Q2 | 59.0 |\n| '18 Q3 | 63.0 |\n| '18 Q4 | 62.6 |\n| '19 Q1 | 69.0 |\n| '19 Q2 | 64.0 |\n| '19 Q3 | 59.8 |\n| '19 Q4 | 58.0 |\n| '20 Q1 | 50.8 |\n| '20 Q2 | 28.0 |\n| '20 Q3 | 30.6 |\n| '20 Q4 | 28.2 |\n| '21 Q1 | 33.0 |\n| '21 Q2 | 38.9 |\n| '21 Q3 | 41.0 |\n| '21 Q4 | 44.9 |\n| '22 Q1 | 47.1 |\n| '22 Q2 | 48.0 |\n| '22 Q3 | 46.0 |\n| '22 Q4 | 43.0 |\n| '23 Q1 | 38.2 |\n\n柱状图2(0,0),(0,0)\n### New construction vs. other Manhattan Class A$ ^{\\ast} $\n#### Net effective rent per square foot\n\n| | New construction | Other Manhattan Class A |\n| --- | --- | --- |\n| '15 | $68 | $61 |\n| '16 | $75 | $66 |\n| '17 | $77 | $59 |\n| '18 | $76 | $69 |\n| '19 | $89 | $60 |\n| '20 | $73 | $60 |\n| '21 | $86 | $59 |\n| '22 | $92 | $66 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/5bd49da1c287d9ac6074ea351d189550.png", "anno": "| | |\n| --- | --- |\n| A | 30 |\n| B | 11 |\n| C | 42 |\n| D | 53 |\n| E | 81 |\n| F | 98 |\n| G | 72 |\n| H | 25 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/42841d3a08f73146c134863eeb0c229b.png", "anno": "### American credit cards come cheap on the black market\n#### Estimated per card prices, in US$, for stolen payment cards (Visa, Mastercard, Amex, Discover)\n#### Source: Intel Security\n\n| | Software-generated-$ | With bank id number-$ | With date of birth-$ | With full personal details-$ |\n| --- | --- | --- | --- | --- |\n| United States | 8 | 15 | 15 | 30 |\n| United Kingdom | 25 | 25 | 30 | 35 |\n| Canada | 25 | 25 | 30 | 40 |\n| Australia | 25 | 25 | 30 | 40 |\n| European Union | 30 | 30 | 35 | 45 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/1979fdbcb16bf4f922f061455607b4b2.png", "anno": "柱状图1(0,0),(0,0)\n### Family size trends in EB-5 applicants registered with Department of State, by country\n\n| Country | FY 2021-Average visa applications per investor applicant | FY 2022-Average visa applications per investor applicant | FY 2023-Average visa applications per investor applicant | FYTD 2024-Average visa applications per investor applicant |\n| --- | --- | --- | --- | --- |\n| China - Mainland | 2.68 | 2.60 | 2.40 | 2.58 |\n| India | 2.79 | 2.83 | 2.80 | 2.40 |\n| Vietnam | 3.90 | 2.98 | 3.62 | 3.50 |\n| S. Korea | 2.45 | 2.74 | 2.75 | 2.83 |\n| Brazil | 2.00 | 2.75 | 3.40 | 2.82 |\n| China - Taiwan | 2.88 | 2.90 | 2.90 | 2.80 |\n| Rest of World | 3.30 | 3.00 | 3.50 | 3.00 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/14645ca761f7e2460d19882a9ec07155.png", "anno": "#### A) DEATHS\n| | Ischemic heart disease | Hypertensive heart disease | Stomach cancer | Aortic aneurysm | Atrial fibrillation and flutter | Endocarditis | Rheumatic heart disease | Stroke | Chronic kidney disease | Cardiomyopathy and myocarditis | Other cardiovascular and circulatory diseases | Non-rheumatic valvular heart disease | Peripheral artery disease |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Male | 7.6 | 1.7 | 1.1 | 0.3 | | | | 5.1 | 1.5 | 0.5 | 0.3 | 0.2 | 0.1 |\n| Female | 3.6 | 1.5 | 0.4 | 0.1 | | | | 2.9 | 0.9 | 0.3 | 0.2 | 0.1 | 0.1 |\n\n#### B) DALYs\n| | Ischemic heart disease | Hypertensive heart disease | Stomach cancer | Aortic aneurysm | Atrial fibrillation and flutter | Non-rheumatic valvular heart disease | Peripheral artery disease | Stroke | Chronic kidney disease | Cardiomyopathy and myocarditis | Other cardiovascular and circulatory diseases | Rheumatic heart disease | Endocarditis |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Male | 185 | 35 | 24 | 7 | | | | 123 | 35 | 15 | 11 | 1 | 4 |\n| Female | 66 | 22 | 10 | 2 | | | | 64 | 20 | 7 | 7 | 1 | 1 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4b5f52da8db97ce0f69b9285eda624be.png", "anno": "柱状图1(0,0),(0,0)\n### Regular video use by platform\n#### This year, we decided to study which platforms marketers use to regularly publish video.\n#### Facebook is the top platform (58%), followed by Instagram (49%) and YouTube (47%).\n\n| Platform | |\n| --- | --- |\n| Facebook | 58% |\n| Instagram | 49% |\n| YouTube | 47% |\n| LinkedIn | 18% |\n| TikTok | 11% |\n| Twitter | 11% |\n| Snapchat | 1% |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/5a6f23d9307937f340e2a3e8890d7711.png", "anno": "| | |\n| --- | --- |\n| 01 | 70% |\n| 02 | 40% |\n| 03 | 80% |\n| 04 | 75% |\n| 05 | 50% |\n| 06 | 90% |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/6397130c3cfda4fd78216cc4d97b45fb.png", "anno": "### Annual Corn Production \n#### Marketing Years 1975/1976-2012/2013\n\n| | US-Million Metric Tons | World-Million Metric Tons |\n| --- | --- | --- |\n| Jan-76 | 150 | 340 |\n| Jan-77 | 163 | 360 |\n| Jan-78 | 170 | 365 |\n| Jan-79 | 190 | 398 |\n| Jan-80 | 208 | 427 |\n| Jan-81 | 173 | 410 |\n| Jan-82 | 210 | 445 |\n| Jan-83 | 215 | 440 |\n| Jan-84 | 110 | 350 |\n| Jan-85 | 200 | 480 |\n| Jan-86 | 230 | 485 |\n| Jan-87 | 213 | 477 |\n| Jan-88 | 190 | 450 |\n| Jan-89 | 130 | 403 |\n| Jan-90 | 197 | 460 |\n| Jan-91 | 203 | 487 |\n| Jan-92 | 197 | 495 |\n| Jan-93 | 246 | 540 |\n| Jan-94 | 160 | 473 |\n| Jan-95 | 260 | 560 |\n| Jan-96 | 193 | 520 |\n| Jan-97 | 240 | 595 |\n| Jan-98 | 240 | 576 |\n| Jan-99 | 250 | 610 |\n| Jan-00 | 243 | 610 |\n| Jan-01 | 260 | 591 |\n| Jan-02 | 245 | 602 |\n| Jan-03 | 230 | 602 |\n| Jan-04 | 260 | 630 |\n| Jan-05 | 310 | 720 |\n| Jan-06 | 290 | 700 |\n| Jan-07 | 270 | 714 |\n| Jan-08 | 336 | 800 |\n| Jan-09 | 311 | 800 |\n| Jan-10 | 338 | 820 |\n| Jan-11 | 323 | 830 |\n| Jan-12 | 321 | 880 |\n| Jan-13 | 335 | 912 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/580181f76b7004b72acdc8540073cc22.png", "anno": "### S&P 500 median monthly realized volatility\n\n| | 11 midterm election years since 1974 | All years since 1970 |\n| --- | --- | --- |\n| Mar | 10.9% | 12.2% |\n| Apr | 13.9% | 13.0% |\n| May | 12.0% | 11.0% |\n| Jun | 13.8% | 12.9% |\n| Jul | 13.2% | 11.7% |\n| Aug | 15.6% | 12.9% |\n| Sep | 15.9% | 11.5% |\n| Oct | 18.0% | 12.6% |\n| Nov | 14.9% | 12.7% |\n| Dec | 14.4% | 11.0% |\n| Jan | 16.4% | 12.3% |\n| Feb | 13.8% | 12.8% |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d2475f8a3027e0f87f9a758cad072f2a.png", "anno": "### China accounts for ≈ +50% of global optical cable demand...\n#### Optical cable demand, China vs all other countries of the World, M F-km\n\n| | China | RoW |\n| --- | --- | --- |\n| 2014 | 156 | 158 |\n| 2015 | 216 | 167 |\n| 2016 | 244 | 187 |\n| 2017 | 281 | 211 |\n| 2018 | 279 | 233 |\n| 2019 | 240 | 240 |\n| 2020 | 237 | 233 |\n| 2021 | 248 | 252 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/67009cc06224ed03818604f0e34da8ac.png", "anno": "| Out | Price |\n| --- | --- |\n| Fair | 4333 |\n| Good | 3800 |\n| Very Good | 3966 |\n| Premium | 4720 |\n| Ideal | 3527 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/6ea22871219c7dae24a124874f3419bb.png", "anno": "| | |\n| --- | --- |\n| 01 | 63% |\n| 02 | 56% |\n| 03 | 70% |\n| 04 | 90% |\n| 05 | 68% |\n| 06 | 45% |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2e9f249d41b376db53637feac84f1518.png", "anno": "| Year | Pink bollworm-Foliar Insecticide (cost per acre) | Whitefly-Foliar Insecticide (cost per acre) | Lygus bugs-Foliar Insecticide (cost per acre) | Other-Foliar Insecticide (cost per acre) | All Pests-Foliar Insecticide (cost per acre) |\n| --- | --- | --- | --- | --- | --- |\n| 1979 | | | | | 45 |\n| 1980 | | | | | 30 |\n| 1981 | | | | | 70 |\n| 1982 | | | | | 80 |\n| 1983 | | | | | 74 |\n| 1984 | | | | | 85 |\n| 1985 | | | | | 95 |\n| 1986 | 15 | 7.5 | 10 | 28.5 | |\n| 1987 | 52.5 | | 10 | 55 | |\n| 1988 | 22.5 | 5 | 6.5 | 29 | |\n| 1989 | 30 | 15 | 7.5 | 26 | |\n| 1990 | 69 | 11 | 17.5 | 16 | |\n| 1991 | 25 | 24 | 35 | 25 | |\n| 1992 | 11 | 91.5 | 5 | 14 | |\n| 1993 | 2 | 26 | 4 | 12 | |\n| 1994 | 30 | 89 | 15 | 6 | |\n| 1995 | 35 | 146 | 30 | 10 | |\n| 1996 | 21 | 58 | 25 | 7 | |\n| 1997 | 11 | 53 | 37 | 5 | |\n| 1998 | 6 | 35 | 55 | 8 | |\n| 1999 | 3 | 11 | 20 | 2 | |\n| 2000 | 9 | 19 | 21 | 6 | |\n| 2001 | 3.5 | 31 | 23 | 2 | |\n| 2002 | 10 | 30 | 19 | 7 | |\n| 2003 | 6 | 35 | 33 | 7.5 | |\n| 2004 | 5 | 29 | 13 | 7.5 | |\n| 2005 | 11 | 59 | 26.5 | 10 | |\n| 2006 | 1 | 22.5 | 5 | 4 | |\n| 2007 | | 10 | 12.5 | 5 | |\n| 2008 | | 21.5 | 17 | 5 | |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/bacdb6d4497146f42a0cdeaaf41e0d4c.png", "anno": "### 2015 - October Treasury Revenue & Expenditure\n\n| | Amount (USD 1e11) |\n| --- | --- |\n| Gross Receipts | 2.0 |\n| Gross Outlays | 2.9 |\n| Surplus/Deficit | 0.9 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/def23efc4645244d34b34ffc85e158a7.png", "anno": "| | A | B | C |\n| --- | --- | --- | --- |\n| 1 | 88 | 30 | 12 |\n| 2 | 10 | 30 | 30 |\n| 3 | 20 | 30 | 90 |\n| 4 | 65 | 23 | 15 |\n| 5 | 25 | 33 | 65 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/212ad16ca6ae4f60f3ef78cadaa13062.png", "anno": "| | |\n| --- | --- |\n| 2018 | 147 |\n| 2019 | 65 |\n| 2020 | 160 |\n| 2021 | 124 |\n| 2022 | 88 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/810d82f2b340b131440195f236a7883b.png", "anno": "### The chart below shows the number of visitors to four different museums in the UK from June to October in 2015.\n\n| | History Museum | British Museum | National Museum | Science Museum |\n| --- | --- | --- | --- | --- |\n| June | 400,000 | 200,000 | 430,000 | 400,000 |\n| July | 400,000 | 190,000 | 400,000 | 400,000 |\n| August | 600,000 | 700,000 | 380,000 | 400,000 |\n| September | 390,000 | 200,000 | 500,000 | 200,000 |\n| October | 470,000 | 180,000 | 300,000 | 300,000 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/25af52a46a5ed8a6562d66ae75f56c4e.png", "anno": "### Bot Users DEX Bot Sector Usage By Day Last 90 days\n#### Last 90 days\n| Date UTC | WagieBot-Users | PepeBoost-Users | Looter-Users | Moonbot-Users | OxDEFCAFE-Users | Alphaman-Users | Banana Gun-Users | Unibot-Users | Ready Swap-Users | Scarab-Users | Maestro*-Users |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Aug 11th | | | | | | | 0.15k | 1.375k | 1.625k | | | 8k |\n| Aug 12th | | | | | | | 0.25k | 1.125k | 1.625k | | | 7.375k |\n| Aug 13th | | | | | | | 0.225k | 1.125k | 1.625k | | | 6.875k |\n| Aug 14th | | | | | | | 0.15k | 1.625k | 1.975k | | | 7.9k |\n| Aug 15th | | | | | | | 0.1k | 1.7k | 2.05k | | | 8.25k |\n| Aug 16th | | | | | | | 0.125k | 1.75k | 2.125k | | | 8.625k |\n| Aug 17th | | | | | | | 0.2k | 1.925k | 1.875k | | | 7.75k |\n| Aug 18th | | | | | | | 0.25k | 1.7k | 1.975k | | | 7.45k |\n| Aug 19th | | | | | | | 0.075k | 1.675k | 1.75k | | | 7k |\n| Aug 20th | | | | | | | 0.075k | 1.75k | 1.875k | | | 6.875k |\n| Aug 21st | | | | | | | 0.25k | 2.325k | 2k | | | 8.425k |\n| Aug 22nd | | | | | | | 0.175k | 1.875k | 2.05k | | | 8.2k |\n| Aug 23rd | | | | | | | 0.15k | 1.925k | 2k | | | 8.125k |\n| Aug 24th | | | | | | | 0.1k | 1.95k | 2k | | | 8k |\n| Aug 25th | | | | | | | 0.025k | 2.075k | 1.95k | | | 8.55k |\n| Aug 26th | | | | | | | 0.125k | 1.5k | 1.9k | | | 6.6k |\n| Aug 27th | | | | | | | 0.025k | 1.8k | 1.625k | | | 6.5k |\n| Aug 28th | | | | | | | 0.1k | 2.45k | 2.075k | | | 8.925k |\n| Aug 29th | | | | | | | 0.325k | 2.575k | 2.05k | | | 8.5k |\n| Aug 30th | | | | | | | 0.1k | 2.4k | 1.925k | | | 7.625k |\n| Aug 31st | | | | | | | 0.125k | 2.325k | 1.725k | | | 7.95k |\n| Sep 1st | | | | | | | 0.075k | 1.6k | 1.825k | | | 6.625k |\n| Sep 2nd | | | | | | | 0.125k | 1.425k | 1.45k | | | 6k |\n| Sep 3rd | | | | | | | 0.075k | 1.825k | 1.425k | | | 6.125k |\n| Sep 4th | | | | | | | 0.2k | 2.1k | 1.5k | | | 7.45k |\n| Sep 5th | | | | | | | 0.175k | 2.5k | 1.475k | | | 7.6k |\n| Sep 6th | | | | | | | 0.25k | 2.5k | 1.5k | | | 8.05k |\n| Sep 7th | | | | | | | 0.2k | 2.425k | 1.575k | | | 7.55k |\n| Sep 8th | | | | | | | 0.05k | 2.05k | 1.525k | | | 7.425k |\n| Sep 9th | | | | | | | 0.2k | 1.625k | 1.375k | | | 6.05k |\n| Sep 10th | | | | | | | 0.15k | 1.725k | 1.075k | | | 5.5k |\n| Sep 11th | | | | | | | 0.125k | 2.5k | 1.4k | | | 7.05k |\n| Sep 12th | | | | | | | 0.125k | 2.2k | 1.3k | | | 7k |\n| Sep 13th | | | | | | | 0.05k | 2k | 1.25k | | | 6.75k |\n| Sep 14th | | | | | | | 0.175k | 2.825k | 1.5k | | | 7.5k |\n| Sep 15th | | | | | | | 0.1k | 2.875k | 1.55k | | | 7.5k |\n| Sep 16th | | | | | | | 0.125k | 2.325k | 1.1k | | | 6.45k |\n| Sep 17th | | | | | | | 0.075k | 2.35k | 0.95k | | | 5.625k |\n| Sep 18th | | | | | 0.2k | | 0.125k | 3.05k | 1.4k | | | 7.55k |\n| Sep 19th | | | | | 0.1k | | 0.25k | 2.75k | 1.325k | | | 7.125k |\n| Sep 20th | | | | | 0.05k | | 0.325k | 2.675k | 1.4k | | | 7.55k |\n| Sep 21st | | | | | 0.25k | | 0.05k | 2.5k | 1.3k | | | 6.7k |\n| Sep 22nd | | | | | 0.075k | | 0.3k | 2.225k | 0.95k | | | 6.45k |\n| Sep 23rd | | | | | 0.025k | | 0.025k | 1.95k | 0.675k | | | 5.325k |\n| Sep 24th | | | | | 0.05k | | 0.05k | 2k | 0.65k | | | 5.425k |\n| Sep 25th | | | | | 0.1k | | 0.1k | 2.875k | 1.05k | | | 6.95k |\n| Sep 26th | | | | | 0.25k | | 0.075k | 2.975k | 1k | | | 7.45k |\n| Sep 27th | | | | | 0.125k | | 0.125k | 2.825k | 1k | | | 7.05k |\n| Sep 28th | | | | | 0.05k | | 0.075k | 3.075k | 1k | | | 6.925k |\n| Sep 29th | | | | | 0.175k | | 0.2k | 3.075k | 0.5k | | | 6.55k |\n| Sep 30th | | | | | 0.1k | | 0.075k | 2.425k | 0.925k | | | 6.075k |\n| Oct 1st | | | | | 0.3k | | 0.025k | 2.25k | 0.825k | | | 5.925k |\n| Oct 2nd | | | | | 0.3k | | 0.1k | 3.15k | 1.2k | | | 7.625k |\n| Oct 3rd | | | | | 0.375k | | 0.075k | 3.3k | 0.825k | | | 7.375k |\n| Oct 4th | | | | | 0.125k | | 0.25k | 2.575k | 1k | | | 6.55k |\n| Oct 5th | | | | | 0.175k | | 0.2k | 2.6k | 0.875k | | | 6.075k |\n| Oct 6th | | | | | 0.075k | | 0.05k | 2.55k | 0.9k | | | 6.05k |\n| Oct 7th | | | | | 0.35k | | 0.05k | 2k | 0.625k | | | 4.95k |\n| Oct 8th | | | 0.275k | | 0.075k | | | 2.05k | 0.625k | | | 4.875k |\n| Oct 9th | | | 0.15k | | 0.225k | | 0.075k | 2.375k | 0.75k | | | 6k |\n| Oct 10th | | | 0.125k | | 0.1k | | 0.025k | 2.125k | 0.825k | | | 6.05k |\n| Oct 11th | | | 0.05k | | 0.15k | | 0.05k | 2.4k | 0.625k | | | 5.925k |\n| Oct 12th | | | 0.325k | | 0.075k | | 0.1k | 2.775k | 0.65k | | | 5.975k |\n| Oct 13th | | | 0.3k | | 0.075k | | 0.05k | 2.5k | 0.75k | | | 5.75k |\n| Oct 14th | | | 0.175k | | 0.2k | | | 1.7k | 0.55k | | | 5k |\n| Oct 15th | | | 0.2k | | 0.1k | | | 1.575k | 0.8k | | | 4.575k |\n| Oct 16th | | | 0.175k | | 0.175k | | 0.075k | 2.7k | 0.85k | | | 6.575k |\n| Oct 17th | | | 0.3k | | 0.125k | | 0.05k | 2.825k | 0.825k | | | 6.425k |\n| Oct 18th | | | 0.25k | | 0.2k | | 0.05k | 2.75k | 0.825k | | | 6.425k |\n| Oct 19th | | | 0.2k | | 0.05k | | 0.175k | 2.75k | 1k | | | 6.45k |\n| Oct 20th | | | 0.125k | | 0.125k | | 0.25k | 2.875k | 1.175k | | | 6.575k |\n| Oct 21st | | | 0.2k | | 0.1k | | | 2.4k | 0.85k | | | 5.2k |\n| Oct 22nd | | | 0.775k | | 0.075k | | 0.125k | 2.125k | 0.75k | | | 5.375k |\n| Oct 23rd | | | 0.375k | | 0.025k | | 0.175k | 2.95k | 1.175k | | | 6.75k |\n| Oct 24th | | | 0.175k | | 0.075k | | 0.25k | 3.275k | 1.175k | | | 5.25k |\n| Oct 25th | | | 0.325k | | 0.05k | | 0.125k | 3.625k | 1.3k | | | 4.45k |\n| Oct 26th | | | 0.075k | | 0.175k | | 0.15k | 3.55k | 1.1k | | | 4.95k |\n| Oct 27th | | | 0.175k | | 0.2k | | 0.2k | 3.55k | 1.25k | | | 5.25k |\n| Oct 28th | | | 0.175k | | 0.175k | | 0.2k | 2.675k | 1.325k | | | 4.55k |\n| Oct 29th | | | 0.3k | | 0.125k | | 0.075k | 2.975k | 1.075k | | | 4.375k |\n| Oct 30th | | | 0.2k | | 0.3k | | 0.075k | 3.95k | 1.3k | | | 5.25k |\n| Oct 31st | | | 0.25k | | 0.125k | | 0.15k | 3.8k | 1.2k | | | 5.1k |\n| Nov 1st | | | 0.175k | | 0.05k | | 0.275k | 3.725k | 0.825k | | | 5.075k |\n| Nov 2nd | | | 0.15k | | 0.3k | | 0.025k | 3.7k | 0.9k | | | 5k |\n| Nov 3rd | | | 0.125k | | 0.1k | | 0.15k | 3.15k | 0.675k | | | 4.425k |\n| Nov 4th | | | 0.1k | | 0.075k | | 0.025k | 2.9k | 0.625k | | | 4.375k |\n| Nov 5th | | | 0.3k | | 0.075k | | 0.05k | 3.075k | 0.725k | | | 4.7k |\n| Nov 6th | | | 0.85k | | 0.1k | | 0.05k | 3.95k | 0.825k | | | 5.1k |\n| Nov 7th | | | 0.1k | | 0.3k | | 0.075k | 3.275k | 0.7k | | | 4.55k |\n| Nov 8th | | | 0.2k | | 0.15k | | 0.025k | 2.175k | 0.5k | | | 2.9k |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/abc5cd69c656b502f8c21a3355ed2bbd.png", "anno": "### Distribution of Span (Range) of Red Ball Sets\n\n| Range (Max-Min) of Red Balls in Draw | Red Ball Sets-Count of Draws |\n| --- | --- |\n| 7 | 1 |\n| 8 | 0 |\n| 9 | 3 |\n| 10 | 3 |\n| 11 | 9 |\n| 12 | 9 |\n| 13 | 15 |\n| 14 | 34 |\n| 15 | 30 |\n| 16 | 46 |\n| 17 | 62 |\n| 18 | 55 |\n| 19 | 70 |\n| 20 | 85 |\n| 21 | 101 |\n| 22 | 108 |\n| 23 | 143 |\n| 24 | 117 |\n| 25 | 151 |\n| 26 | 148 |\n| 27 | 124 |\n| 28 | 131 |\n| 29 | 144 |\n| 30 | 109 |\n| 31 | 98 |\n| 32 | 49 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/fc38b11aa00aeff3cba5bd8cb75b3863.png", "anno": "### IPUS Monthly Data - Year 1945\n\n| Month | IPUS Value |\n| --- | --- |\n| 1 | 16.4 |\n| 2 | 16.3 |\n| 3 | 16.2 |\n| 4 | 16.0 |\n| 5 | 15.4 |\n| 6 | 15.1 |\n| 7 | 14.8 |\n| 8 | 13.3 |\n| 9 | 12.1 |\n| 10 | 11.6 |\n| 11 | 12.0 |\n| 12 | 12.1 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/c29cb016271cca0fda8138323557c3e7.png", "anno": "| | |\n| --- | --- |\n| 2016 | 40 |\n| 2017 | 100 |\n| 2018 | 55 |\n| 2019 | 140 |\n| 2020 | 85 |\n| 2021 | 100 |\n| 2022 | 55 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/fb1227b5e1a5cfce1e6501639b3df934.png", "anno": "### Russia's North European Customers\n#### Four-week average crude shipments from Russia to northern Europe\n\n| Week ending | Netherlands-million barrels a day | Poland-million barrels a day | Lithuania-million barrels a day | France-million barrels a day | Finland-million barrels a day | Germany-million barrels a day | Sweden-million barrels a day | UK-million barrels a day |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Jan 28 | 0.4 | 0.19 | 0.12 | 0.14 | 0.11 | | 0.05 | 0.05 |\n| Apr 22 | 0.3 | 0.14 | | 0.09 | 0.03 | | | 0.02 |\n| Jul 8 | 0.34 | 0.05 | | | 0.03 | | | |\n| Sep 23 | 0.22 | 0.05 | | | | | | |\n| Dec 9 | 0.05 | | | | | | | |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/c8662493e07f2c1b4614d4eacb835199.png", "anno": "| | |\n| --- | --- |\n| 2016 | 140 |\n| 2017 | 190 |\n| 2018 | 150 |\n| 2019 | 120 |\n| 2020 | 100 |\n| 2021 | 80 |\n| 2022 | 70 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/1ca65127f7d0bc4753405b4e95f8c912.png", "anno": "### 2015 - April Treasury Revenue & Expenditure\n\n| | Amount (USD 1e11) |\n| --- | --- | \n| Gross Receipts | 4.14 |\n| Gross Outlays | 3.10 |\n| Surplus/Deficit | -1.08 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2df3527eb1356ee312fce21ecbfda0e7.png", "anno": "柱状图1(0,0),(0,0)\n### Gold suffers when tariffs are high \n#### Annualized inflation-adjusted returns since 1916\n\n| | 50% of years in which tariffs* were LOWEST | 50% of years in which tariffs* were HIGHEST |\n| --- | --- | --- |\n| | 8.3% | 3.8% |\n| Subsequent 3 years | 6.2% | 4.2% |\n| Subsequent 5 years | 5.9% | 4.0% |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/0532a88389ec45e5b4c381573b7983f5.png", "anno": "| | Sports | Strategy | Action | Shooter | Other |\n| --- | --- | --- | --- | --- | --- |\n| | 27500 | 12000 | 6000 | 3000 | 1000 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/29fa4671396ad8a99d53fc283a35f776.png", "anno": "| | 2018 | 2019 | 2020 | 2021 | 2022 |\n| --- | --- | --- | --- | --- | --- |\n| | | | | 1 | 2 |\n| A- | 3 | 7 | 12 | 30 | 88 |\n| B+ | 60 | 91 | 123 | 166 | 229 |\n| B | 129 | 178 | 189 | 209 | 201 |\n| B- | 409 | 397 | 375 | 318 | 216 |\n| C+ | 178 | 118 | 89 | 68 | 63 |\n| C | 21 | 9 | 12 | 8 | 1 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/600588191754eb022c819351d9478714.png", "anno": "| | |\n| --- | --- |\n| 01 | 75% |\n| 02 | 80% |\n| 03 | 70% |\n| 04 | 90% |\n| 05 | 68% |\n| 06 | 60% |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/3d0aae1039cab02bd7a4c3c7f048a90b.png", "anno": "### Family size trends in EB-5 applicants registered with Department of State, by country\n| Country | FY 2021-Average visa applications per investor applicant | FY 2022-Average visa applications per investor applicant | FY 2023-Average visa applications per investor applicant | FYTD 2024-Average visa applications per investor applicant |\n| --- | --- | --- | --- | --- |\n| China-Mainland | 2.65 | 2.60 | 2.40 | 2.58 |\n| India | 2.79 | 2.82 | 2.80 | 2.40 |\n| Vietnam | 3.90 | 2.98 | 3.63 | 3.50 |\n| S. Korea | 2.45 | 2.71 | 2.74 | 2.85 |\n| Brazil | 2.00 | 2.76 | 3.40 | 2.80 |\n| China-Taiwan | 2.85 | 2.90 | 2.90 | 2.80 |\n| Rest of World | 3.30 | 3.00 | 3.50 | 3.00 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/5c9d3f78f2ae59e48ce8279a0bfe6ed5.png", "anno": "柱状图1(0,0),(0,0)\n### Below are two column graphs showing the sales of umbrellas in Balal's shop in the two weeks after opening:\n\n#### Week 1\n| | umbrellas sold |\n| --- | --- |\n| Monday | 6 |\n| Tuesday | 5 |\n| Wednesday | 7 |\n| Thursday | 3 |\n| Friday | 4 |\n\n#### Week 2\n| | umbrellas sold |\n| --- | --- |\n| Monday | 7 |\n| Tuesday | 5 |\n| Wednesday | 5 |\n| Thursday | 6 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4ec885d71ba5b07fb8a8d39487ebd42d.png", "anno": "| | 红色 | 黄色 | 绿色 | 蓝色 | 紫色 |\n| --- | --- | --- | --- | --- | --- |\n| 1d | 45 | | | | |\n| 2d | | 35 | | | |\n| 3d | | | 30 | | |\n| 4d | | | | 22 | |\n| 5d | | | | | 13 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9bf784539a0e68d45d97ef2faab3d463.png", "anno": "### Bidirectional bar chart\n\n| Xaxis | Income-Yaxis | Payout-Yaxis |\n| --- | --- | --- |\n| A | 7000 | -3000 |\n| B | 7600 | -2800 |\n| C | 9700 | -4200 |\n| D | 6600 | -3600 |\n| E | 7000 | -1520 |\n| F | 6750 | -1200 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/b19b40f278f26291f3efead90c68543c.png", "anno": "### Median basic salary of doctorate recipients with definite commitments in the United States, by position type and field of study: 2014\n| | Postdoc-Dollars (thousands) | Employment in academe-Dollars (thousands) | Employment in industry-Dollars (thousands) |\n| --- | --- | --- | --- |\n| Life sciences | 40 | 60 | 86 |\n| Physical sciences | 50 | 57 | 103 |\n| Social sciences | 42 | 60 | 85 |\n| Engineering | 45 | 75 | 100 |\n| Education | 45 | 60 | 80 |\n| Humanities | 45 | 50 | 50 |\n| Other non-S&E fields | 45 | 80 | 105 |", "chart_type": "柱状图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7da22e139147d0e90c0da6abdd34b2cd.png", "anno": "### 两次踢毽子成绩统计图\n\n| | 第一次-成绩/个 | 第二次-成绩/个 |\n| --- | --- | --- |\n| 小丽 | 58 | 70 |\n| 小红 | 82 | 82 |\n| 小刚 | 52 | 80 |\n| 小明 | 70 | 60 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/9750a75d54c077dbe14f4279d3c16f68.png", "anno": "### 光谱输出-汞\n\n| 波长(nm) | 相对强度 |\n| --- | --- |\n| 200 | 8% |\n| 210 | 4% |\n| 220 | 6% |\n| 230 | 12% |\n| 240 | 17% |\n| 250 | 50% |\n| 260 | 48% |\n| 270 | 20% |\n| 280 | 21% |\n| 290 | 30% |\n| 300 | 33% |\n| 310 | 53% |\n| 320 | 6% |\n| 330 | 13% |\n| 340 | 6% |\n| 350 | 4% |\n| 360 | 88% |\n| 370 | 7% |\n| 380 | 4% |\n| 390 | 6% |\n| 400 | 35% |\n| 410 | 6% |\n| 420 | 7% |\n| 430 | 61% |\n| 440 | 7% |\n| 450 | 3% |\n| 460 | 2% |\n| 470 | 3% |\n| 480 | 3% |\n| 490 | 4% |\n| 500 | 3% |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/0f3f365eafa90b84315812a74641112e.png", "anno": "| | 小时 |\n| --- | --- |\n| 日 | 14 |\n| 一 | 15 |\n| 二 | 17.35 |\n| 三 | 2 |\n| 四 | |\n| 五 | |\n| 六 | |\n\n| 时 | 分钟 |\n| --- | --- |\n| 0 | 60 |\n| 1 | 30 |\n| 2 | 50 |\n| 3 | 20 |\n| 4 | |\n| 5 | |\n| 6 | 2 |\n| 7 | 14 |\n| 8 | 50 |\n| 9 | 55 |\n| 10 | 60 |\n| 11 | 60 |\n| 12 | 45 |\n| 13 | 40 |\n| 14 | 50 |\n| 15 | 60 |\n| 16 | 60 |\n| 17 | 60 |\n| 18 | 40 |\n| 19 | 45 |\n| 20 | 60 |\n| 21 | 60 |\n| 22 | 60 |\n| 23 | 60 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b388c77dfc003465c8782eed92fda64c.png", "anno": "### 某地区城乡人口统计图\n\n| 年份 | 城镇-人数/万人 | 乡村-人数/万人 |\n| --- | --- | --- |\n| 1980 | 21 | 58 |\n| 1990 | 27.2 | 54.2 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/fc881e624b69b1004b8892e2dc1afafc.png", "anno": "### (2) 2021年上半年某市空气质量情况统计图\n\n| 级数 | 第一季度-天数 | 第二季度-天数 |\n| --- | --- | --- |\n| 一级 | 42 | 31 |\n| 二级 | 25 | 40 |\n| 三级 | 21 | 18 |\n| 三级以上 | 2 | 2 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/4ddd7acf28b894bd8e5f51fac6f640ac.png", "anno": "### Negative pricing has become more frequent in many markets 很多市场中负定价变得日益频繁\n| | 2019-Hours of negative power price, by year 负电价小时数（按年份分列） | 2020-Hours of negative power price, by year 负电价小时数（按年份分列） | 2021-Hours of negative power price, by year 负电价小时数（按年份分列） | 2022-Hours of negative power price, by year 负电价小时数（按年份分列） | 2023-Hours of negative power price, by year 负电价小时数（按年份分列） | 2024-Hours of negative power price, by year 负电价小时数（按年份分列） |\n| --- | --- | --- | --- | --- | --- | --- |\n| Germany | 210 | 300 | 140 | 70 | 300 | 460 |\n| Spain | | | | | | 250 |\n| France | 25 | 100 | 60 | 5 | 150 | 360 |\n| UK | | 90 | 3 | 20 | 90 | 140 |\n| Netherlands | 0.5 | 95 | 70 | 85 | 315 | 465 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/0feb67b295bacf2dd9cb3b2dc16918de.png", "anno": "### 四年级（1）班同学喜爱体育运动情况统计\n\n| | (人) |\n| --- | --- |\n| 足球 | 5 |\n| 篮球 | 15 |\n| 跳绳 | 20 |\n| 游泳 | 30 |\n| 跳高 | 25 |\n| 跑步 | 10 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/700b6d0503ae87874f66bbb5d50e3f54.png", "anno": "柱状图1(0,0),(0,0)\n### 某电子专柜2013年销售统计图（万部）\n\n| | 手机 | 电池 | 耳机 |\n| --- | --- | --- | --- |\n| 第一季度 | 4.2 | 2.3 | 2 |\n| 第二季度 | 2.5 | 4.3 | 2 |\n| 第三季度 | 3.5 | 1.8 | 3 |\n| 第四季度 | 4.5 | 2.8 | 5 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/042e9869a5424c5d8a976b625fd86ec7.png", "anno": "柱状图1(0,0),(0,0)\n### 某地6月份空气质量状况统计图\n\n| 空气质量状况 | 天数(天) |\n| --- | --- |\n| 优 | 10 |\n| 良 | 12 |\n| 轻度污染 | 8 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/7507f7c71c27166384571d35d6df21ac.png", "anno": "| | 高技能人才占比技能劳动者比例-单位：% | 主力劳动-单位：% | 人力资本-单位：% | 人才贡献-单位：% | 人才资源总量-单位：万人 |\n| --- | --- | --- | --- | --- | --- |\n| 2000年 | 24 | 9 | 11 | 19 | 11000 |\n| 2015年 | 27 | 15 | 13 | 32 | 15500 |\n| 2020年 | 28 | 20 | 15 | 35 | 18000 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/189e40457e58752950cb9d5f8bbb3d0b.png", "anno": "### 图1 结算量变化预警不良命中率\n| | 6个月内逾期命中率-（%） | 12个月内逾期命中率-（%） | 不良发生命中率-（%） |\n| --- | --- | --- | --- |\n| 20140331 | 23% | 32% | 27.5% |\n| 20140430 | 34.5% | 45% | 31% |\n| 20140531 | 29.5% | 34% | 19.5% |\n| 20140630 | 24% | 31% | 18% |\n| 20140731 | 21% | 31% | 10.5% |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/97cc6bf157feb5a65013d3440572ee9c.png", "anno": "| 年级 | 女生-人数/人 | 男生-人数/人 |\n| --- | --- | --- |\n| 一年级 | 8 | 14 |\n| 二年级 | 14 | 16 |\n| 三年级 | 10 | 20 |\n| 四年级 | 14 | 19 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/98e36be7025faaa691fe897168011e38.png", "anno": "| 月份 | 2011年-天数 | 2012年-天数 |\n| --- | --- | --- |\n| 6 | 21 | 21 |\n| 7 | 23 | 25 |\n| 8 | 22 | 27 |\n| 9 | 23 | 26 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/e83a464fcdc9b2993564ba11e68b7e02.png", "anno": "### 变化趋势\n\n| | 5月 | 12月 |\n| --- | --- | --- |\n| 一组 | 3 | 5 |\n| 英雄联盟 | 7 | 6 |\n| 绝地求生 | 0 | 10 |\n| 户外 | 8 | 3 |\n| 其他游戏 | 12 | 6 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b2ade9df24144f1203ecec94b7c43dd3.png", "anno": "| | 喜欢的人数 |\n| --- | --- |\n| 排球 | 30 |\n| 蓝球 | 26 |\n| 羽毛球 | 22 |\n| 兵乓球 | 32 |\n| 足球 | 15 |\n| 网球 | 9 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/583b289a8d478f62982d0cd5cbe28f02.png", "anno": "### 四年级（1）班同学喜爱体育运动情况统计\n\n| 体育运动 | （人） |\n| --- | --- |\n| 游泳 | 30 |\n| 篮球 | 15 |\n| 跳绳 | 20 |\n| 足球 | 5 |\n| 跳高 | 25 |\n| 跑步 | 10 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/8d8988b97de8667d7f1d4885b416f1cd.png", "anno": "### 图3 参评各类智库“一带一路”相关研究成果的结构分布\n\n| | 论文-成果占比% | 报告与专著-成果占比% |\n| --- | --- | --- |\n| 国家级智库 | 90.59 | 9.41 |\n| 地方性智库 | 91.61 | 8.39 |\n| 高校智库 | 86.92 | 13.08 |\n| 社会智库 | 80.16 | 19.82 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b56c292b6ac2e2c4df7808d644172105.png", "anno": "柱状图1(0,0),(0,0)\n### 我国2006年~2011年货物进出口总额统计图\n| 年份 | 进口额-额/亿美元 | 出口额-额/亿美元 |\n| --- | --- | --- |\n| 2006 | 7915 | 9590 |\n| 2007 | 9561 | 12205 |\n| 2008 | 11326 | 14307 |\n| 2009 | 10059 | 12016 |\n| 2010 | 13962 | 15778 |\n| 2011 | 17435 | 18986 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/878e97929e02b65bb7294b0df979508c.png", "anno": "### 仰卧起坐成绩分析（次）\n\n| | 系列1 | 系列2 |\n| --- | --- | --- |\n| 第一周 | 16 | 17 |\n| 第二周 | 15 | 17 |\n| 第三周 | 19 | 18 |\n| 第四周 | 18 | 16 |\n| 第五周 | 21 | 20 |\n| 第六周 | 20 | 22 |\n| 第七周 | 21 | 23 |\n| 第八周 | 22 | 24 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/765c3d5437a8f2049abd94927e3a834f.png", "anno": "柱状图1(0,0),(0,0)\n### 图5 各区城 “一带一路” 国别合作度一级指标得分情况\n\n| | 东北亚-“一带一路” 国别合作度一级指标得分 | 东南亚-“一带一路” 国别合作度一级指标得分 | 中亚-“一带一路” 国别合作度一级指标得分 | 南亚-“一带一路” 国别合作度一级指标得分 | 西亚北非-“一带一路” 国别合作度一级指标得分 | 中东欧-“一带一路” 国别合作度一级指标得分 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 政策沟通度 | 17.4 | 13.3 | 13.4 | 11.2 | 8.8 | 8.2 |\n| 设施联通度 | 15.7 | 7.8 | 8.8 | 6.7 | 5.1 | 5.6 |\n| 贸易畅通度 | 13.2 | 12.1 | 8.7 | 8.5 | 7.3 | 6.1 |\n| 资金融通度 | 18.4 | 15.4 | 10.7 | 10.8 | 9.2 | 4.6 |\n| 民心相通度 | 14.00 | 12.7 | 12.7 | 11.5 | 9.3 | 9.1 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/efd90fcedda7ed1c88c110710fcfc0fd.png", "anno": "| 年级 | 右眼-比例 | 左眼-比例 |\n| --- | --- | --- |\n| 小1 | 51.8% | 48.2% |\n| 小2 | 53.1% | 46.9% |\n| 小3 | 50.7% | 49.3% |\n| 小4 | 52.7% | 47.3% |\n| 小5 | 50.9% | 49.1% |\n| 小6 | 50.8% | 49.2% |\n| 初1 | 50.8% | 49.2% |\n| 初2 | 51.0% | 49.0% |\n| 初3 | 50.1% | 49.9% |\n| 高1 | 50.6% | 49.4% |\n| 高2 | 51.3% | 48.7% |\n| 高3 | 50.4% | 49.6% |\n| 合计 | 50.9% | 49.1% |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/57461550615e4a203003a7cb091cf7f6.png", "anno": "### 2017中国民营企业500强调研分析报告\n\n| | 2012年-单位：家 | 2013年-单位：家 | 2014年-单位：家 | 2015年-单位：家 | 2016年-单位：家 |\n| --- | --- | --- | --- | --- | --- |\n| 第一产业 | 4 | 3 | 6 | 6 | 5 |\n| 第二产业 | 380 | 372 | 364 | 357 | 341 |\n| 第三产业 | 117 | 124 | 130 | 137 | 154 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/30033e7dd8c6d2862958d3edb1b1180d.png", "anno": "### 1901七年级六校语文一分两率\n\n| | 平均分 | 优秀率 | 关注率 |\n| --- | --- | --- | --- |\n| 全市 | 59.22 | 19.72 | 89.74 |\n| 二中 | 57.39 | 10.11 | 90.26 |\n| 三中 | 58.29 | 13.66 | 90.01 |\n| 四中 | 56.15 | 10.86 | 87.58 |\n| 民中 | 52.73 | 9.58 | 79.64 |\n| 安中 | 53.68 | 5.43 | 90.22 |\n| 顺风 | 75.57 | 73.06 | 100.00 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/cfc2aaa7b9ed6c84aacc79a046d095cd.png", "anno": "| | 国家级智库-智库数量/个 | 地方性智库-智库数量/个 | 高校智库-智库数量/个 | 社会智库-智库数量/个 |\n| --- | --- | --- | --- | --- |\n| 网站 | 40 | 19 | 24 | 28 |\n| 微信 | 27 | 10 | 18 | 25 |\n| 微博 | 7 | 5 | 11 | 17 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/102a32ef63cb1ce3da595b339c0c4c0f.png", "anno": "柱状图1(0,0),(0,0)\n### 小狗和长尾小鹦鹉\n| | 小狗 | 长尾小鹦鹉 |\n| --- | --- | --- |\n| 1月 | 25 | 15 |\n| 2月 | 20 | 10 |\n| 3月 | 10 | 25 |\n| 4月 | 20 | 20 |\n| 5月 | 15 | 10 |\n| 6月 | 10 | 5 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/82b1c52038658cd933f26e08160faa8d.png", "anno": "柱状图1(0,0),(0,0)\n\n| | 蓝色柱-人数 | 红色柱-人数 | 绿色柱-人数 |\n| --- | --- | --- | --- |\n| 类别1 | 4.3 | 2.4 | 2 |\n| 类别2 | 2.5 | 4.4 | 2 |\n| 类别3 | 3.5 | 1.8 | 3 |\n| 类 | 4.5 | | |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/1d26c339d4805863113b90af08f9f85e.png", "anno": "| | 去年市值 | 年内市值 |\n| --- | --- | --- |\n| 酒鬼酒 | 120 | 280 |\n| 中粮科技 | 125 | 163 |\n| 中粮糖业 | 177 | 190 |\n| 中粮资本 | 225 | 237 |\n| 大悦城 | 301 | 200 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/bf3b13f5c139d0f6f76715495d7553e3.png", "anno": "| | 1班 | 2班 | 3半 |\n| --- | --- | --- | --- |\n| 语文 | 110 | 103 | 100 |\n| 数学 | 117 | 107 | 101 |\n| 英语 | 117 | 105 | 96 |\n| 生物 | 100 | 100 | 96 |\n| 地理 | 100 | 96| 96 |\n| 历史 | 100 | 93 | 94 |\n| 政治 | 97 | 94 | 0 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/0380ba827f398e693b6693a7ac1f084f.png", "anno": "柱状图1(0,0),(0,0)\n### 2011年12月末和2012年6月末网民城乡结构统计图\n\n| 地点 | 2011年12月末-占全国网民总数的百分比 | 2012年6月末-占全国网民总数的百分比 |\n| --- | --- | --- |\n| 城镇 | 73.5% | 72.9% |\n| 农村 | 26.5% | 27.1% |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/3d86d4f2fc186999a38a15158d0454dd.png", "anno": "### 2011年12月末和2012年6月末网民城乡结构统计图\n\n| 地点 | 2011年12月末-占全国网民总数的百分比 | 2012年6月末-占全国网民总数的百分比 |\n| --- | --- | --- |\n| 城镇 | 73.5% | 72.9% |\n| 农村 | 26.5% | 27.1% |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/60f9f1bb09226e019b1f149b2b5b4664.png", "anno": "柱状图1(0,0),(0,0)\n### 我国2006年~2011年货物进出口总额统计图\n\n| 年份 | 进口额-金额/亿美元 | 出口额-金额/亿美元 |\n| --- | --- | --- |\n| 2006 | 7915 | 9690 |\n| 2007 | 9561 | 12205 |\n| 2008 | 11326 | 14307 |\n| 2009 | 10059 | 12016 |\n| 2010 | 13962 | 15778 |\n| 2011 | 17435 | 18986 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/833a50542068156d9cc1b620f5f70db8.png", "anno": "### 百德小學本年度學生参加課外活動的人数\n\n| 課外活動 | 男-人数 | 女-人数 |\n| --- | --- | --- |\n| 歌詠 | 6 | 32 |\n| 籃球 | 12 | 12 |\n| 朗誦 | 22 | 14 |\n| 科技 | 34 | 10 |\n| 棋藝 | 28 | 8 |\n| 中樂 | 12 | 16 |\n| 繪畫 | 20 | 22 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/88dd143fb831e9cf3e3231a444d1aeba.png", "anno": "柱状图1(0,0),(0,0)\n### 仰卧起坐成绩分析（次）\n\n| | 蓝色 | 红色 |\n| --- | --- | --- |\n| 第一周 | 16 | 17 |\n| 第二周 | 15 | 17 |\n| 第三周 | 19 | 18 |\n| 第四周 | 18 | 16 |\n| 第五周 | 21 | 20 |\n| 第六周 | 20 | 22 |\n| 第七周 | 21 | 23 |\n| 第八周 | 22 | 24 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/4687dfda2da301bd333b41d10da0ffde.png", "anno": "### 201901六校九数一分二率\n| | 平均分 | 优秀率 | 关注率 |\n| --- | --- | --- | --- |\n| 全市 | 62.27 | 18.83 | 90.07 |\n| 二中 | 55.83 | 8.01 | 84.76 |\n| 三中 | 61.04 | 9.37 | 89.37 |\n| 四中 | 59.93 | 8.21 | 91.52 |\n| 民中 | 55.15 | 4.50 | 85.08 |\n| 安中 | 60.87 | 2.00 | 91.00 |\n| 顺风 | 80.89 | 78.18 | 99.10 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/acd00f4595e1841fc6e926763a5a3a7e.png", "anno": "### 星期日同学们喜欢做的事\n\n| | （人） |\n| --- | --- |\n| 看电视 | 10 |\n| 踢球 | 5 |\n| 看书 | 6 |\n| 参加课外学习班 | 7 |\n| 家庭聚会 | 9 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/e740b9ecdbeedc6c563eb503701e4322.png", "anno": "| | 周达瑜 | 张巧辽 | 曹尚操 | 张登飞 |\n| --- | --- | --- | --- | --- |\n| 1 | 129 | 106 | 127 | 76 |\n| 2 | 133 | 116 | 133 | 78 |\n| 3 | 146 | 135 | 142 | 66 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/f5cc78a720375274e4af244c50b39fd8.png", "anno": "| | 06/07年度-万吨 | 07/08年度-万吨 | 08/09年度-万吨 | 09/10年度-万吨 | 10/11年度-万吨 | 11/12年度-万吨 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10月 | 7 | 10 | 2 | 2 | 5 | 10 |\n| 11月 | 57 | 55 | 25 | 34 | 37 | 17 |\n| 12月 | 170 | 120 | 80 | 145 | 130 | 88 |\n| 1月 | 143 | 150 | 117 | 118 | 103 | 97 |\n| 2月 | 106 | 168 | 187 | 102 | 74 | |\n| 3月 | 120 | 134 | 136 | 98 | 103 | |\n| 4月 | 82 | 118 | 118 | 5 | 90 | |\n| 5月 | 94 | 125 | 128 | 94 | 120 | |\n| 6月 | 110 | 134 | 115 | 108 | 106 | |\n| 7月 | 115 | 131 | 94 | 112 | 112 | |\n| 8月 | 88 | 105 | 135 | 5 | 85 | |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/eda9650e701aa4e6898cb28c6278ec67.png", "anno": "柱状图1(0,0),(0,0)\n### 中国儿童标准身高对照图\n\n| 年龄/岁 | 男生-身高/cm | 女生-身高/cm |\n| --- | --- | --- |\n| 7 | 125.5 | 124.1 |\n| 8 | 130.7 | 129.3 |\n| 9 | 135.8 | 134.9 |\n| 10 | 140.8 | 141.2 |\n| 11 | 146.0 | 147.4 |\n| 12 | 152.2 | 152.4 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a03a045c65a26e07f8e8f9845c59ea14.png", "anno": "### 黑暗条件下\n\n| ABA浓度/($ μmol·L^{-1} $) | 野生型-萌发率% | 突变体-萌发率% |\n| --- | --- | --- |\n| 0 | 100 | 100 |\n| 2 | 90 | 75 |\n| 4 | 33 | 16 |\n| 8 | 7 | 7 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/8fcbbe09cb71ad339de31c57bc3175b9.png", "anno": "| | 超重率-超重率、肥胖率(%) | 肥胖率-超重率、肥胖率(%) |\n| --- | --- | --- |\n| 合计 | 31 | 11 |\n| 男性 | 33 | 9.5 |\n| 女性 | 30 | 13 |\n| 城镇 | 32 | 12 |\n| 乡村 | 31 | 10.2 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/57461550615e4a203003a7cb091cf7f6.png", "anno": "柱状图1(0,0),(0,0)\n### 2017中国民营企业500强调研分析报告\n| | 2012年(家) | 2013年(家) | 2014年(家) | 2015年(家) | 2016年(家) |\n| --- | --- | --- | --- | --- | --- |\n| 第一产业 | 4 | 3 | 6 | 6 | 5 |\n| 第二产业 | 380 | 372 | 364 | 357 | 341 |\n| 第三产业 | 117 | 124 | 130 | 137 | 154 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/54762476a92b7fbfdf9dbacc926f3095.png", "anno": "柱状图1(0,0),(0,0)\n### 南关小学二至五年级男、女生人数统计图\n\n| 年级 | 男生-人数/人 | 女生-人数/人 |\n| --- | --- | --- |\n| 二年级 | 50 | 45 |\n| 三年级 | 38 | 48 |\n| 四年级 | 45 | 40 |\n| 五年级 | 52 | 50 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/fb0cf50b175f9ad4dfec9c5ed9179fd8.png", "anno": "### 2021年青少年参观革命纪念馆人数月度走势——基于100个样本数据分析得出\n#### 数据来源：中国联通\n\n| | |\n| --- | --- |\n| 1月 | 1.80% |\n| 2月 | 2.50% |\n| 3月 | 7.00% |\n| 4月 | 8.50% |\n| 5月 | 9.50% |\n| 6月 | 10.20% |\n| 7月 | 12.50% |\n| 8月 | 13.00% |\n| 9月 | 8.00% |\n| 10月 | 10.20% |\n| 11月 | 6.70% |\n| 12月 | 6.50% |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/cd1a89e58799468ae591fabf095af86c.png", "anno": "| | 旅行社 | 交通 | 酒店 | 综合 |\n| --- | --- | --- | --- | --- |\n| 2018 | 50000.00 | 190000.00 | 55000.00 | 170000.00 |\n| 2019 | 49500.00 | 175000.00 | 49000.00 | 160000.00 |\n| 2020 | 65000.00 | 220000.00 | 50000.00 | 210000.00 |\n| 2021 | 125000.00 | 340000.00 | 90000.00 | 330000.00 |\n| 2022 | 125000.00 | 460000.00 | 100000.00 | 325000.00 |\n| 2023 | 150000.00 | 420000.00 | 85000.00 | 315000.00 |\n| 2024 | 150000.00 | 440000.00 | 100000.00 | 320000.00 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/ec374548d16ab42834113202526b7faf.png", "anno": "### 近3年6月发电量对比分析图\n\n| | 2018年 | 2019年 | 2020年 |\n| --- | --- | --- | --- |\n| | 5500 | 6100 | 7600 |\n| | 3200 | 3300 | 4600 |\n| | 7950 | 3100 | 7300 |\n| | 11050 | 4020 | 12700 |\n| | 3300 | 700 | 3700 |\n| | 6100 | 2500 | 5850 |\n| | 6070 | 1200 | 4900 |\n| | 11200 | 2050 | 10800 |\n| | 1000 | 1200 | 1050 |\n| | 600 | 400 | 650 |\n| | 1600 | 900 | 2200 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/ca56ba6445c6247fcccc1af9436f9596.png", "anno": "| 品种 | 1996年人均占有量-kg | 2018年人均占有量-kg |\n| --- | --- | --- |\n| 牛奶 | 5.1 | 22.1 |\n| 水产品 | 26.9 | 46.4 |\n| 猪牛羊肉 | 30.2 | 46.8 |\n| 油料 | 18.2 | 24.7 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c49e72b5e8c586ecf957252a443804de.png", "anno": "### 某电子专柜2013年销售统计图(万部)\n\n| | 手机 | 电池 | 耳机 |\n| --- | --- | --- | --- |\n| 第一季度 | 4.3 | 2.4 | 2.0 |\n| 第二季度 | 2.5 | 4.4 | 2.0 |\n| 第三季度 | 3.5 | 1.8 | 3.0 |\n| 第四季度 | 4.5 | 2.8 | 5.0 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/9132b2c56753c845710f2c8711a63613.png", "anno": "柱状图1(0,0),(0,0)\n\n### 西苑小学6岁至12岁学生平均身高统计图\n| | 男生-平均身高(厘米) | 女生-平均身高(厘米) |\n| --- | --- | --- |\n| 6岁 | 124 | 122 |\n| 7岁 | 128 | 130 |\n| 8岁 | 136 | 132 |\n| 9岁 | 138 | 139 |\n| 10岁 | 142 | 142 |\n| 11岁 | 149 | 149 |\n| 12岁 | 156 | 155 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/3e2672498326fdb16d670d7ca7b0ad27.png", "anno": "柱状图1(0,0),(0,0)\n\n| 商品 | 金额 |\n| --- | --- |\n| 糖果 | 60元 |\n| 水果 | 90元 |\n| 饮料 | 30元 |\n| 春联 | 10元 |\n| 灯笼 | 40元 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/55e0b92c252908ae9b35d7c4a6df1538.png", "anno": "柱状图1(0,0),(0,0)\n\n| | （件） |\n| --- | --- |\n| 一班 | 12 |\n| 二班 | 20 |\n| 三班 | 10 |\n| 四班 | 8 |\n| 五班 | 17 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/e700d0010659e82b7254fcd359a9677b.png", "anno": "### C-CAR031 Showed Encouraging Tumor Responses in Late Line HCC\n#### Best Tuner Shrinkage (Per RECIST v1.1)\n\n#### Data cut off data 14 March 2024\n\n| | DL1-Best change of Tumor SLD (%) | DL2-Best change of Tumor SLD (%) | DL3-Best change of Tumor SLD (%) | DL4-Best change of Tumor SLD (%) | |\n| --- | --- | --- | --- | --- | --- |\n| C006 | | 28 | | | PD |\n| C030 | | | | 23 | PD |\n| C006 | | -3 | | | SD |\n| C027 | | | | -9 | SD |\n| C003 | | -13 | | | SD |\n| C020 | | | -20 | | SD |\n| C002 | -31 | | | | SD |\n| C011 | | | -33 | | SD |\n| C012 | | | -37 | | SD |\n| C016 | | | -40 | | PR |\n| C005 | | -43 | | | PR |\n| C013 | | | -45 | | PR |\n| C021 | | | -47 | | PR |\n| C018 | | | -50 | | SD |\n| C025 | | | | -55 | PR |\n| C033 | | | | -58 | PR |\n| C028 | | | | -60 | PR |\n| C009 | | -70 | | | PR |\n| C010 | | | -72 | | PR |\n| C022 | | | | -78 | PR |\n| C032 | | | | -80 | PR |\n| C023 | | | | -82 | PR |\n| C007 | | | | -95 | PR |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4e57f00286b0a3e84c38349ecb4806ff.png", "anno": "### Instruction Following (Multimodal & Text)\n\n| | Pixtral 12B-Rating | Phi-3 Vision-Rating | LLaVA-OV 7B | Qwen2-VL 7B-Rating | Claude-3 Haiku-Rating |\n| --- | --- | --- | --- | --- | --- |\n| MM-MT-Bench | 6 | 4 | 4.3 | 5.4 | 5.2 |\n| Text MT-bench | 7.5 | 6.2 | 6.8 | 6.3 | 7.5 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/12d039acc178a2fa8c9d56f97a1e6347.png", "anno": "### Text Understanding (Science, Math & Code)\n\n| | Pixel 128-Accuracy (%) | Phi-3 Vision-Accuracy (%) | LLaVA-OV-7B-Accuracy (%) | Qwen2-VL-7B-Accuracy (%) | Claude-3 Haiku-Accuracy (%) |\n| --- | --- | --- | --- | --- | --- |\n| MMLU | 68 | 63 | 65 | 68 | 73 |\n| MATH | 48 | 28 | 38 | 27 | 34 |\n| HumanEval | 70 | 48 | 64 | 63 | 72 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/13a1dea0a10c86403a8e6d09102da62e.png", "anno": "柱状图1(0,0),(0,0)\n### Evolution of Invasive Monitoring at Cleveland Clinic\n\n| | PEG / FO | Depths | SG | SG + D | SEEG |\n| --- | --- | --- | --- | --- | --- |\n| 1981 | | | 2 | | |\n| 1982 | | | 2 | | |\n| 1983 | | | 2 | | |\n| 1984 | 1 | | 4 | | |\n| 1985 | | | 2 | | |\n| 1986 | | | 2 | | |\n| 1987 | | | 3 | | |\n| 1988 | 1 | | 2 | | |\n| 1989 | 23 | 9 | 12 | 2 | |\n| 1990 | 19 | 16 | 15 | | |\n| 1991 | 17 | 14 | 26 | 2 | |\n| 1992 | 9 | 5 | 36 | | |\n| 1993 | | 11 | 20 | | |\n| 1994 | | 1 | 21 | | |\n| 1995 | | 1 | 17 | 1 | |\n| 1996 | | 1 | 13 | | |\n| 1997 | | 4 | 12 | | |\n| 1998 | | 5 | 15 | 1 | |\n| 1999 | 1 | 5 | 22 | 1 | |\n| 2000 | | 1 | 17 | | |\n| 2001 | | 2 | 38 | 1 | |\n| 2002 | | 2 | 33 | 1 | |\n| 2003 | | 1 | 32 | 1 | |\n| 2004 | | | 24 | 11 | |\n| 2005 | | | 23 | 17 | |\n| 2006 | | 1 | 28 | 21 | |\n| 2007 | | | 10 | 33 | |\n| 2008 | | 3 | 24 | 49 | |\n| 2009 | | 1 | 8 | 48 | 26 |\n| 2010 | | | 2 | 21 | 51 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/76ae5773c8bac12f1052ef39862f9483.png", "anno": "### Figure 4: Bloom Energy product cost reductions\n\n| | Installation costs-Product costs($ per kW) | Product costs-Product costs($ per kW) |\n| --- | --- | --- |\n| 2016 1Q | 5100 | 1300 |\n| 2016 2Q | 4800 | 1500 |\n| 2016 3Q | 4380 | 1070 |\n| 2016 4Q | 3800 | 1200 |\n| 2017 1Q | 4000 | 2000 |\n| 2017 2Q | 3100 | 1300 |\n| 2017 3Q | 3370 | 1270 |\n| 2017 4Q | 2950 | 820 |\n| 2018 1Q | 3850 | 550 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/b3b2ca177df06f0bb3cc0fc79b0b9bc8.png", "anno": "### Figure. Clinical outcomes with different reperfusion strategies.\n\n| | Death | Cardiac death | Heart failure | Mechanical complications | VT/VF | Cardiac arrest | Cerebral events |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Fibrinolysis (N=160) | 15 | 14.5 | 28 | 2 | 7.5 | 6.5 | 1.8 |\n| Primary PCI (N=1000) | 7.7 | 7.4 | 17.6 | 0.6 | 5 | 3.7 | 1.7 |\n| No reperfusion (N=1922) | 20 | 18 | 32.7 | 1.7 | 5 | 10 | 1.5 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9431c0477cf56e298af72c9fe055a74d.png", "anno": "### euro PCR Primary Endpoint: SAQ health status (ITT)\n#### For multiple testing the significance level is 0.01\n\n| | OMT-BL | OMT-FU | PCI-BL | PCI-FU |\n| --- | --- | --- | --- | --- |\n| Physical limitation | 71 | 76 | 67 | 80 |\n| Anginal frequency | 80 | 87 | 77 | 92 |\n| Quality of life | 60 | 72 | 56 | 76 |\n| Anginal stability | 54 | 56 | 52 | 58 |\n| Treatment satisfaction | 88 | 89 | 85 | 91 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/e88f5dd24757e34012a30d6fe638dc66.png", "anno": "柱状图1(0,0),(0,0)\n### Mobile phones and Land lines, per 100 people\n\n| | Mobile Phones-Number of phones per 100 people | Landlines-Number of phones per 100 people |\n| --- | --- | --- |\n| Canada | 38 | 62 |\n| US | 48 | 68 |\n| German | 70 | 60 |\n| Denmark | 82 | 98 |\n| UK | 83 | 58 |\n| Sweden | 88 | 68 |\n| Italy | 90 | 42 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a7b6ee80786169f96d58aa44b0aabdb0.png", "anno": "### Jitter break down for GX13 @ 32G\n| | die 300F-ISI Jitter, ps | dispersion-ISI Jitter, ps | copper roughness-ISI Jitter, ps | material loss-ISI Jitter, ps | discontinuities & skin effect-ISI Jitter, ps | target_32G-ISI Jitter, ps |\n| --- | --- | --- | --- | --- | --- | --- |\n| 11mm | 1.1 | 0.7 | 0.1 | 0.2 | 0.9 | 4.2 |\n| 17mm | 1.6 | 0.8 | 0.5 | 0.2 | 1.1 | 4.2 |\n| 23mm | 2.0 | 1.9 | 0.5 | 0.6 | 1.2 | 4.2 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/6f4c4793f70c0783e1ca11e4853c405a.png", "anno": "### Global mobile phone sales by brand\n\n| | 2009-Units sold (millions) | 2011-Units sold (millions) | 2013-Units sold (millions) |\n| --- | --- | --- | --- |\n| Samsung | 238 | 330 | 445 |\n| Apple | 25 | 89 | 150 |\n| Nokia | 443 | 422 | 250 |\n| LG | 127 | 80 | 67 |\n| ZTE | 53 | 60 | 63 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/7f48f8ce4e79f0351063807f45d74396.png", "anno": "### Dynamic Instructions (Normalized to x86-64)\n#### Total Dynamic Instructions\n\n| benchmarks | x86-64-dynamic instructions (normalized to x86-64) | ia32-dynamic instructions (normalized to x86-64) | ARMv7-dynamic instructions (normalized to x86-64) | ARMv8-dynamic instructions (normalized to x86-64) | RV64G-dynamic instructions (normalized to x86-64) |\n| --- | --- | --- | --- | --- | --- |\n| 400.perlbench | 1.0 | 1.04 | 1.17 | 1.07 | 1.18 |\n| 401.bzip2 | 1.0 | 1.05 | 1.04 | 1.04 | 1.33 |\n| 403.gcc | 1.0 | 1.04 | 1.3 | 0.98 | 1.37 |\n| 429.mcf | 1.0 | 1.08 | 1.19 | 1.02 | 0.94 |\n| 445.gobmk | 1.0 | 1.01 | 1.2 | 1.1 | 1.18 |\n| 456.hmmer | 1.0 | 1.19 | 1.45 | 1.21 | 1.16 |\n| 458.sjeng | 1.0 | 1.06 | 1.22 | 1.12 | 1.29 |\n| 462.libquantum | 1.0 | 1.62 | 1.38 | 0.95 | 0.83 |\n| 464.h264ref | 1.0 | 1.03 | 1.18 | 1.14 | 1.64 |\n| 471.omnetpp | 1.0 | 1.2 | 1.08 | 0.98 | 1.04 |\n| 473.astar | 1.0 | 1.11 | 1.18 | 1.05 | 0.98 |\n| 483.xalancbmk | 1.0 | 1.1 | 1.18 | 1.04 | 1.14 |\n| geomean | 1.0 | 1.12 | 1.2 | 1.05 | 1.16 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/f19ea5ecf8d080359d8288990cf1dc12.png", "anno": "| | Men | Women |\n| --- | --- | --- |\n| 1924 | 3000 | 200 |\n| 1952 | 4400 | 500 |\n| 1964 | 5300 | 1500 |\n| 2012 | 6000 | 4700 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/78c881a9b0c45167432b5c950d381d92.png", "anno": "柱状图1(0,0),(0,0)\n### Median Time to Interview by Fiscal Year Documentarily Complete\n\n| Foreign State of Chargeability | FY 2022-Number of Days | FY 2023-Number of Days | FY 2024-Number of Days |\n| --- | --- | --- | --- |\n| Brazil | 90 | 95 | |\n| China | 400 | 162 | 85 |\n| India | 115 | 135 | 116 |\n| S. Korea | 308 | 250 | 210 |\n| Taiwan | 90 | 145 | 180 |\n| Vietnam | 432 | 180 | 80 |\n| Rest of World | 118 | 100 | 82 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ee3187336af72b9aa1b1c91eb54118ed.png", "anno": "### Industry/Academia ratio\n\n| | 绿色 | 红色 | 紫色 |\n| --- | --- | --- | --- |\n| 2005 | 41% | | 59% |\n| 2006 | 48% | | 54% |\n| 2007 | 51% | | 49% |\n| 2008 | 47% | | 53% |\n| 2009 | 53% | | 47% |\n| 2010 | 45% | | 51% |\n| 2011 | 50% | 8% | 42% |\n| 2012 | 52% | 7% | 41% |\n| 2013 | 55% | 7% | 38% |\n| 2014 | 54% | 7% | 39% |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/8934dca3e54deb6cd36a5f1b1931bb8e.png", "anno": "### (2003-2013)\n| | 2003-% of people | 2006-% of people | 2013-% of people |\n| --- | --- | --- | --- |\n| Every day | 4% | 3% | 3% |\n| Several times a week | 17% | 20% | 16% |\n| Once a week | 31% | 33% | 28% |\n| Once or twice a month | 30% | 25% | 33% |\n| A few times a year | 8% | 10% | 10% |\n| Never | 5% | 4% | 4% |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/84aaae8b2d799996665cb6347be02936.png", "anno": "### User projects (total 3877)\n\n| | User projects |\n| --- | --- |\n| 2012 | 100 |\n| 2013 | 170 |\n| 2014 | 260 |\n| 2015 | 320 |\n| 2016 | 260 |\n| 2017 | 270 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/bbf021e3eba0e61d40b6a6c41bbdfe3a.png", "anno": "柱状图1(0,0),(0,0)\n### % of F1 Interna. Students by Region\n\n| | 2005-% | 2009-% | 2015-% |\n| --- | --- | --- | --- |\n| East | 12% | 12% | 14% |\n| Mid West | 10% | 11% | 8% |\n| Middle Atlantic | 16% | 16% | 15% |\n| New England | 35% | 34% | 31% |\n| Southeast | 10% | 12% | 14% |\n| Southwest | 5% | 4% | 5% |\n| West | 11% | 11% | 12% |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/82e3f116c45a53c97de9f7accf5e6a41.png", "anno": "### Frequency of eating at fast food restaurants among people in the USA (2003-2013)\n\n| | 2003-% of people | 2006-% of people | 2013-% of people |\n| --- | --- | --- | --- |\n| Every day | 4% | 3% | 3% |\n| Several times a week | 17% | 20% | 16% |\n| Once a week | 31% | 33% | 27% |\n| Once or twice a month | 30% | 25% | 33% |\n| few times a year | 13% | 15% | 15% |\n| Never | 5% | 4% | 4% |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/82d83bdaa459b74cfb9a2819ea063ff5.png", "anno": "柱状图1(0,0),(0,0)\n### The percentage of adults of different ages using the Internet from 2003-2006\n\n| ages | 2003 | 2004 | 2005 | 2006 |\n| --- | --- | --- | --- | --- |\n| 16-24 | 60% | 60% | 65% | 63% |\n| 25-44 | 50% | 52% | 54% | 56% |\n| 45-54 | 45% | 51% | 50% | 51% |\n| 55-65 | 22% | 23% | 24% | 30% |\n| 65+ | | 16% | 17% | 16% |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/2683e00640dce109045a6a6c7dac562e.png", "anno": "### Small-Bore GenSet on Crude Tankers\n\n| Contract year | LR2-MW | VLCC-MW | |\n| --- | --- | --- | --- |\n| 2019 | 166 | 380 | 546 |\n| 2020 | 164 | 320 | 484 |\n| 2021 | 153 | 245 | 398 |\n| 2022 | 20 | 205 | 225 |\n| 2023 | 80 | 700 | 780 |\n| 2024 | 310 | 720 | 1030 |\n| 2025 | 270 | 640 | 910 |\n| 2026 | 338 | 620 | 958 |\n| 2027 | 343 | 615 | 958 |\n| 2028 | 348 | 610 | 958 |\n| 2029 | 298 | 540 | 838 |\n| 2030 | 249 | 470 | 719 |\n| 2031 | 209 | 390 | 599 |\n| 2032 | 179 | 300 | 479 |\n| 2033 | 179 | 300 | 479 |\n| 2034 | 179 | 300 | 479 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/49679d79f50a613c9e20e57532c147a0.png", "anno": "### Developed renewables, GW\n\n| | Developed renewables (GW) |\n| --- | --- |\n| 2019 | 2.5 |\n| 2025 forecast | 20 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/170501094d5eb6e162e44cc4aac0597c.png", "anno": "柱状图1(0,0),(0,0)\n### Birthdays in each month\n#### Here the height of a colored bar shows the number it stands for.\n\n| Month | Number of birthdays |\n| --- | --- |\n| January | 3 |\n| February | 2 |\n| March | 5 |\n| April | 6 |\n| May | 1 |\n| June | 2 |\n| July | 5 |\n| August | 2 |\n| September | 1 |\n| October | 2 |\n| November | 2 |\n| December | 1 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1975de1afc72007ddd883f24f8795aa7.png", "anno": "### Location of incidents – widening the focus\n\n| | Berth / Facility | Harbour Transit | Sea / Anchor |\n| --- | --- | --- | --- |\n| 2013/14 | 115 | 39 | 32 |\n| 2014/15 | 156 | 63 | 58 |\n| 2015/16 | 131 | 77 | 52 |\n| 2016/17 | 144 | 58 | 46 |\n| 2017/18 | 154 | 74 | 82 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/df43fddb87582403f8763ed20380278e.png", "anno": "| | Percentage |\n| --- | --- |\n| Pediatrics | 41 |\n| Adults | 59 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/da721694d565a58160ad8495ea5808e6.png", "anno": "### Median Time to Doc Completion by Fiscal Year Notified\n\n| | 2022年 | 2023年 | 2024年 |\n| --- | --- | --- | --- |\n| Brazil | 400 | 103 | 82 |\n| China | 225 | 120 | 66 |\n| India | 217 | 130 | 80 |\n| S. Korea | 154 | 84 | 50 |\n| Taiwan | 227 | 102 | 72 |\n| Vietnam | 230 | 106 | 68 |\n| Rest of World | 255 | 135 | 73 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/aa8cf7af842fd9f8989d513713614835.png", "anno": "柱状图1(0,0),(0,0)\n### GMAT Total Score gain, repeat testing\n\n| Total Score | India | China | US |\n| --- | --- | --- | --- |\n| <500 | 62 | 88 | 51 |\n| 500-590 | 48 | 64 | 43 |\n| 600-690 | 27 | 36 | 28 |\n| 700 &+ | 6 | 3 | 10 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/7c8bddeb1aec5e8bab482429f7683355.png", "anno": "### COUNTRIES/REGIONS WITH MOST SUBMISSIONS (TOP 5)\n| | Accepted | Rejected |\n| --- | --- | --- |\n| China | 190 | 805 |\n| United States | 260 | 620 |\n| United Kingdom | 30 | 80 |\n| Japan | 10 | 95 |\n| Germany | 20 | 80 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/3a49f89ab4e87a646070eae4b369a453.png", "anno": "### OVER 24 MONTHS, OCCURRENCE OF FLUID-FREE RETINA WAS HIGHER IN PATIENTS WHO HAD COMPLETE POLYP REGRESSION AT MONTH 3 IN BOTH THE GROUPS\n#### Ranibizumab 0.5 mg + vPDT\n##### Complete polyp regression at Month 3\n| Month | Yes(N=115)-Proportion of patients with fluid free retina,% | No(N=46)-Proportion of patients with fluid free retina,% |\n| --- | --- | --- |\n| Month 3 | 71.3 | 39.1 |\n| Month 6 | 68.8 | 52.2 |\n| Month 12 | 60 | 45.5 |\n| Month 24 | 61.0 | 46.2 |\n\n#### Ranibizumab 0.5 mg\n##### Complete polyp regression at Month 3\n| Month | Yes(N=34)-Proportion of patients with fluid free retina,% | No(N=112)-Proportion of patients with fluid free retina,% |\n| --- | --- | --- |\n| Month 3 | 67.6 | 25.9 |\n| Month 6 | 43.8 | 26.4 |\n| Month 12 | 41.9 | 25 |\n| Month 23 | 46.7 | 27.8 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9a0d50f6f3967613e938543502f52fc0.png", "anno": "### TensorTuner Tuning efficiency\n#### TensorTuner Tuning Efficiency with MKL Backend (Training and Inference)\n\n| | Training with MKL Backend-Total Points from Parameter Space Searched | Inference with MKL Backend-Total Points from Parameter Space Searched |\n| --- | --- | --- |\n| ResNet·50 | 10.2 | 24.0 |\n| Inception3 | 9.2 | 12.8 |\n| VGG16 | 20.4 | 13.3 |\n| VGG11 | 10.2 | 14.3 |\n| GoogLeNet | 15.8 | 13.3 |\n\n#### TensorTuner Tuning Efficiency with Eigen Backend (Training and Inference)\n\n| | Training with Eigen Backend-Percent of Total Points from Parameter Space Searched | Inference with Eigen Backend-Percent of Total Points from Parameter Space Searched |\n| --- | --- | --- |\n| ResNet·50 | 77.1 | 48.6 |\n| Inception3 | 37.1 | 34.3 |\n| VGG16 | 77.1 | 51.4 |\n| VGG11 | 65.7 | 62.9 |\n| GoogLeNet | 31.4 | 48.6 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/345fbbf04ec6b3c20bc1cecf4994c90f.png", "anno": "### Gas\n| | Domestic | International liquefied natural gas | Hub |\n| --- | --- | --- | --- |\n| 2019 | 0.31 | 0.49 | 0.54 |\n| 2025 forecast | 0.48 | 0.39 | 0.43 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/7c0b0d9e570617f44e42043d3c4433a4.png", "anno": "### Number of Bike Rentals Per Month \n#### Month:6\n\n| hour | Number of Bike Rentals |\n| --- | --- |\n| 0 | 2800 |\n| 1 | 1800 |\n| 2 | 1200 |\n| 3 | 500 |\n| 4 | 300 |\n| 5 | 900 |\n| 6 | 4000 |\n| 7 | 10600 |\n| 8 | 16500 |\n| 9 | 10000 |\n| 10 | 8300 | \n| 11 | 10300 |\n| 12 | 12200 |\n| 13 | 12000 |\n| 14 | 11500 |\n| 15 | 11700 |\n| 16 | 15000 |\n| 17 | 21700 |\n| 18 | 20600 |\n| 19 | 15700 |\n| 20 | 12400 |\n| 21 | 9300 |\n| 22 | 7200 |\n| 23 | 4800 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/886461156283c1a792fc8fa1525e449f.png", "anno": "柱状图1(0,0),(0,0)\n### ADO RATE IN DIFFERENT TYPE OF CELLS\n| | Corpus cells | Polar Body Ⅰ | Blastomere | Blastomere WGA | Trophicoderm | Trophicoderm WGA | Trophicoderm MDA |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| CFTR | 7.49% | 6.51% | 23.70% | 29.70% | 3.00% | 6.50% | 6.00% |\n| HBB | 6.80% | 6% | 19.90% | 27% | 3.60% | 7.00% | 6.20% |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/13ace92e9e769f238bc954c9c6a0cc2e.png", "anno": "### Increase in sick leave (blue) and disability days (red) per year in gout vs age/sex matched population controls\n\n| | sick leave-Days per year | disability days-Days per year |\n| --- | --- | --- |\n| 3 yrs before | 8 | 15 |\n| 2 yrs before | 8 | 16 |\n| 1 yr before | 7 | 19 |\n| year of diagnosis | 8 | 21 |\n| 1 yr after | 7 | 23 |\n| 2 yrs after | 7 | 23 |\n| 3 yrs after | 6 | 22 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/dfda14f4742c18fbc61834c1eeec3b91.png", "anno": "### Clinical pregnancy rate per transfer\n\n| | BT(control)-% | ST(control)-% | SEET-48patients-% |\n| --- | --- | --- | --- |\n| patients | 54 | 58 | 60 |\n| Clinical pregnancy rate | 54.2% | 58.3% | 60.4% |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/6a5607f38a28eefef5d78d1159ecef99.png", "anno": "#### Global Installed Base of Desktop PCs + Notebook PCs vs. Smartphones + Tablets, 2009-2015E\n| | Desktop PCs-Global Installed Base(MMs) | Notebook PCs-Global Installed Base(MMs) | Smartphones-Global Installed Base(MMs) | Tablet-Global Installed Base(MMs) | -Global Installed Base(MMs) |\n| --- | --- | --- | --- | --- |\n| 2009 | 750 | 450 | 270 | |\n| 2010 | 800 | 575 | 375 | 50 |\n| 2011 | 800 | 690 | 680 | 50 |\n| 2012E | 800 | 700 | 1.000 | 100 |\n| 2013E | 750 | 760 | 1,300 | 270 |\n| 2014E | 750 | 760 | 1,700 | 500 |\n| 2015E | 700 | 800 | 2,250 | 750 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/8f8178ae3e497e887611a6e453642606.png", "anno": "### Region Distribution\n\n| | University | Institution/L | Industry |\n| --- | --- | --- | --- |\n| FA | 43 | 2 | 30 |\n| NA | 48 | 0 | 36 |\n| EU | 20 | 12 | 15 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/0d4913bff83f48727707684e7a10f34b.png", "anno": "### Academic staff percentages in faculties, by gender, 2012\n\n| | Female | Male |\n| --- | --- | --- |\n| ARTS | 55 | 45 |\n| BUSINESS | 35 | 65 |\n| EDUCATION | 75 | 25 |\n| ENGINEERING | 17 | 83 |\n| LAW | 40 | 60 |\n| MEDICINE | 51 | 49 |\n| SCIENCE | 36 | 64 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/88389d39b50f50dc1c67845be9ca5310.png", "anno": "### Publications citing FRISBI (total 573)\n\n| | |\n| --- | --- |\n| 2012 | |\n| 2013 | 10 |\n| 2014 | 40 |\n| 2015 | 50 |\n| 2016 | 50 |\n| 2017 | 78 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/f0ec7b9a7018ab9ff8d669d41d8e5444.png", "anno": "### Most work permits from third-countries come from these countries:\n| | Indien | USA | Russland | | Kanada |\n| --- | --- | --- | --- | --- | --- |\n| 2015 | 1790 | 1120 | 350 | 450 | 450 |\n| 2016 | 1820 | 1130 | 380 | 440 | 320 |\n| 2017 | 1880 | 1210 | 340 | 520 | 310 |\n| 2018 | 1860 | 1190 | 430 | 540 | 280 |\n| 2019 | 1870 | 1120 | 410 | 600 | 290 |\n| 2020 | 1400 | 760 | 330 | 480 | 210 |\n| 2021 | 1780 | 940 | 370 | 470 | 220 |\n| 2022 | 1850 | 940 | 490 | 510 | 250 |\n| 2023 | 1600 | 830 | 320 | 620 | 250 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/8aaa03882108215ace7aabd1355901f6.png", "anno": "### HBsAg loss$ ^{\\#} $ rate at EOT and EOF in NA-experienced paticnts\n#### FAS\n\n| | | EOT-HBsAg $ loss^{8} $ rate | EOF-HBsAg $ loss^{8} $ rate | \n| --- | --- | --- | --- |\n| Group 1a | TDF | 0.8% | 0.8% |\n| Group 2 | PegIFNα-2b 180 μg/week + TDF | 33.9% | 31.4% |\n| Group 3 | PegIFNα-2b 90 μg/week + TDF | 25.2% | 25.2% |\n\n#### PPS\n\n| | | EOT-HBsAg $ loss^{8} $ rate | EOF-HBsAg $ loss^{8} $ rate | \n| --- | --- | --- | --- |\n| Group 1a | TDF | 1.0% | 1.0% |\n| Group 2 | PegIFNα-2b 180 μg/week + TDF | 40.6% | 36.5% |\n| Group 3 | PegIFNα-2b 90 μg/week + TDF | 28.8% | 28.8% |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ba43132c2265d58830a13b64b0b84652.png", "anno": "| | Gulf of Mexico-Liquids | North Sea-Liquids | Angola-Liquids | BPX Energy-Liquids | AGT-Liquids | Other-Liquids |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2019 | 0.30 | 0.15 | 0.11 | 0.12 | 0.07 | 0.54 |\n| 2025 forecast | 0.35 | 0.16 | 0.06 | 0.27 | 0.10 | 0.36 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ab15b782098c18c20045aa1f95d8f0aa.png", "anno": "### ICCV Paper Submissions (2009 - 2025)\n\n| | Submissions | Accepted Papers |\n| --- | --- | --- |\n| 2009 | 1250 | 300 |\n| 2011 | 1500 | 480 |\n| 2013 | 1600 | 500 |\n| 2015 | 1750 | 620 |\n| 2017 | 2250 | 700 |\n| 2019 | 4500 | 1250 |\n| 2021 | 6250 | 1750 |\n| 2023 | 8500 | 2250 |\n| 2025 | 10750 | 2750 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/8ab9a9bc1023edd827f7b23cda2dc25a.png", "anno": "### Mobile-phone Subscriptions (billion/year)\n\n| year | develope | developin |\n| --- | --- | --- |\n| 2000 | 0.5 | 0.35 |\n| 2001 | 0.5 | 0.35 |\n| 2002 | 0.6 | 0.35 |\n| 2003 | 0.4 | 0.6 |\n| 2004 | 0.7 | 1.1 |\n| 2005 | 0.7 | 1.8 |\n| 2006 | 0.8 | 2.3 |\n| 2007 | 0.9 | 3.2 |\n| 2008 | 1.0 | 3.95 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1554b94b5ad008dd623990ea8f1787e0.png", "anno": "### Biological indicators\n\n| XTitle | Mon-YTitle | Tue-YTitle | Wed-YTitle | Thu-YTitle | Fri-YTitle | Sat-YTitle | Sun-YTitle |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| DingJB | 205 | 65 | 42 | 110 | 42 | 210 | 232 |\n| LiuBK | 228 | 62 | 120 | 60 | 120 | 156 | 240 |\n| XuYS | 212 | 150 | 112 | 40 | 39 | 41 | 350 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/36ed61e88fdea64f93c7865f0c581c19.png", "anno": "### Pixtral 12B Performance\n\n#### Instruction Following (Multimodal & Text)\n| | Rating-Pixtral 12B | Rating-Qwen2-VL 7B | Rating-Phi-3 Vision | Rating-Claude-3 Haiku | Rating-LLaVA-OV 7B |\n| --- | --- | --- | --- | --- | --- |\n| MM-MT-Bench | 6 | 5 | 4 | 5 | 4 |\n| Text MT-bench | 8 | 6 | 6 | 8 | 7 |\n\n#### Text Understanding (Science, Math & Code)\n| | Accuracy (%)-Pixtral 12B | Accuracy (%)-Qwen2-VL 7B | Accuracy (%)-Phi-3 Vision | Accuracy (%)-Claude-3 Haiku | Accuracy (%)-LLaVA-OV 7B |\n| --- | --- | --- | --- | --- | --- |\n| MMLU | 70 | 70 | 64 | 75 | 67 |\n| MATH | 50 | 29 | 29 | 36 | 40 |\n| HumanEval | 75 | 68 | 52 | 79 | 70 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/807a621c2fcda4c538398d2247e54d2e.png", "anno": "### U.S. Middle Market EBITDA Multiples by Deal Value\n| | <100-EBITDA Multiple | 100-499-EBITDA Multiple | 500-1000-EBITDA Multiple | Total-EBITDA Multiple |\n| --- | --- | --- | --- | --- |\n| 2014 | 10.1 | 10.9 | 12.6 | 10.8 |\n| 2015 | 8.2 | 10.9 | 12.1 | 9.7 |\n| 2016 | 8.6 | 10.9 | 11.3 | 9.9 |\n| 2017 | 8.9 | 11.7 | 13.2 | 10.9 |\n| 2018 YTD | 8.1 | 10.2 | 9.7 | 9.2 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a5586b54327cf3b19a0703677dae2cc6.png", "anno": "柱状图1(0,0),(0,0)\n### Global investment in clean energy and fossil fuels, 2015-2024e\n\n| | Fossil fuels-Billion USD (2023, MER) | Clean energy-Billion USD (2023, MER) |\n| --- | --- | --- |\n| 2015 | 1350 | 1120 |\n| 2016 | 1180 | 1200 |\n| 2017 | 1180 | 1210 |\n| 2018 | 1180 | 1220 |\n| 2019 | 1130 | 1250 |\n| 2020 | 850 | 1250 |\n| 2021 | 950 | 1450 |\n| 2022 | 1020 | 1700 |\n| 2023 | 1100 | 1850 |\n| 2024e | 1120 | 2000 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/17a5691a785c182c2b5337f0407c0645.png", "anno": "### Mobile phones and Land lines, per 100 people\n\n| | Mobile Phones-Number of phones per 100 people | Landlines-Number of phones per 100 people |\n| --- | --- | --- |\n| Canada | 38 | 62 |\n| US | 48 | 68 |\n| German | 70 | 60 |\n| Denmark | 82 | 98 |\n| UK | 83 | 58 |\n| Sweden | 88 | 68 |\n| Italy | 90 | 42 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/87c805d7b14a2afa485ea8e9e05e24f1.png", "anno": "### Biological indicators\n\n| XTitle | Mon-YTitle | Tue-YTitle | Wed-YTitle | Thu-YTitle | Fri-YTitle | Sat-YTitle | Sun-YTitle |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| DingJB | 200 | 70 | 40 | 120 | 40 | 210 | 225 |\n| LiuBK | 220 | 65 | 50 | 120 | 70 | 170 | 250 |\n| XuYS | 210 | 160 | 120 | 45 | 40 | 55 | 380 |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/bc3aeb1ae7e128ca4642239133c552e7.png", "anno": "### Housing preferences in the UK(2005)\n\n| | London | Oxford | Cambridge |\n| --- | --- | --- | --- |\n| Flats | 58% | 28% | 20% |\n| Terraced houses | 16% | 19% | 17% |\n| Detached houses | 9% | 25% | 36% |\n| Semi-detached | 17% | 27% | 27% |", "chart_type": "柱状图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/60f3cb41584d2adef626cbc3106b28d9.png", "anno": "### 年货条形统计图\n| 年货 | 元 |\n| --- | --- |\n| 肉类 | 800 |\n| 食品 | 1600 |\n| 礼品 | 1000 |\n| 衣服 | 1400 | \n| 干果 | 500 |\n| 日用品 | 300 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/f7898f353655bb64c032ee55a7cb6e27.png", "anno": "柱状图1(0,0),(0,0)\n### 年货开支统计图\n\n| 商品 | 金额 |\n| --- | --- |\n| 糖 | 30 |\n| 水果 | 140 |\n| 饼干 | 80 |\n| 春联 | 28 |\n| 灯笼 | 78 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/f485015d67835616aa148f9b059e67fb.png", "anno": "| | 传统油车销量(万辆) | 新能源汽车销量(万辆) | 新能源汽车占比 |\n| --- | --- | --- | --- |\n| 2018 | 2245.4 | 125.6 | 5.30% |\n| 2019 | 2023.8 | 120.6 | 5.62% |\n| 2020 | 1881.1 | 136.7 | 6.77% |\n| 2021 | 1796.1 | 352.1 | 16.39% |\n| 2022 | 1667.6 | 668.7 | 29.23% |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/36ee0e62268f8228e3548b6c542b4a2b.png", "anno": "柱状图1(0,0),(0,0)\n### 条形统计图（3）\n\n| 机动车类型 | 辆数 |\n| --- | --- |\n| 轿车 | 50 |\n| 面包车 | 30 |\n| 大客车 | 25 |\n| 卡车 | 10 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/40868c1e8c5949cba6de6f90b1b5e5d8.png", "anno": "柱状图1(0,0),(0,0)\n### 四年一班同学们喜欢吃的早餐\n| 早餐 | 人数 |\n| --- | --- |\n| 面包 | 6 |\n| 油条 | 7 |\n| 饼 | 5 |\n| 米粉 | 10 |\n\n柱状图2(0,0),(0,0)\n### 四年二班同学们的睡眠质量\n| | 人数 |\n| --- | --- |\n| 7小时以下 | 2 |\n| 7小时 | 3 |\n| 8小时 | 11 |\n| 9小时 | 8 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/4c0e2f55b5ddcfd63d4a790cee4f9d1e.png", "anno": "柱状图1(0,0),(0,0)\n### 掷一掷统计图（共掷30次）\n\n| | 次 |\n| --- | --- |\n| 2 | 2 |\n| 3 | 1 |\n| 4 | 3 |\n| 5 | 6 |\n| 6 | 4 |\n| 7 | 7 |\n| 8 | 3 |\n| 9 | 1 |\n| 10 | |\n| 11 | 1 |\n| 12 | 2 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/46d31e9b8d05504c2b2c70a7133af6ad.png", "anno": "### 年货条形统计图\n\n| 商品 | 金额 |\n| --- | --- |\n| 彩虹糖 | 20元 |\n| 太妃糖 | 30元 |\n| 龙虾片 | 18元 |\n| 香油 | 30元 |\n| 汤圆 | 12元 |\n| 酱油 | 20元 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/4b1215cdf96ea0eec77b25692b99e9fe.png", "anno": "柱状图1(0,0),(0,0)\n\n| | 单位 人 |\n| --- | --- |\n| 航模组 | 18 |\n| 书法组 | 8 |\n| 美术组 | 6 |\n| 围棋组 | 10 |\n| 电脑组 | 12 |\n| 足球组 | 14 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/31e7928149a31b0b22e1440ba5cdc953.png", "anno": "柱状图1(0,0),(0,0)\n### 年货开支统计图\n#### 分析：我发现买巧克力花的钱最多。\n| 名称 | 总价 |\n| --- | --- |\n| 糕点 | 24 |\n| 果冻 | 12.5 |\n| 巧克力 | 38 |\n| 糖果 | 15 |\n| 点心 | 19 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/450a1216ac7a3ec919c310dfa85730a4.png", "anno": "柱状图1(0,0),(0,0)\n### 广东省珠海市香洲区天气统计\n\n| 天气 | |\n| --- | --- |\n| 晴 | 3天 |\n| 多云 | 11天 |\n| 大雨·中雨 | 10天 |\n| 阵雨 | 6天 |\n| 小雨 | 1天 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/469117f5e5544761d21cc2715130558a.png", "anno": "柱状图1(0,0),(0,0)\n\n| 商品 | 金额 |\n| --- | --- |\n| 糖果 | 80 |\n| 水果 | 150 |\n| 对联 | 60 |\n| 坚果 | 165 |\n| 酸奶 | 71 |\n| 灯笼 | 80 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/e870b3b7448c8ab0523f5ebbad6239d9.png", "anno": "柱状图1(0,0),(0,0)\n\n| 物品 | 金额/元 |\n| --- | --- |\n| 水果 | 30 |\n| 坚果 | 80 |\n| 对联 | 12 |\n| 新衣 | 100 |\n| 窗花 | 60 |\n| 蔬菜 | 40 |\n| 饮料 | 18 |\n| 肉类 | 72 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c713527f8a0268743d7324250b56cf59.png", "anno": "柱状图1(0,0),(0,0)\n\n| 天气情况 | 天数 |\n| --- | --- |\n| 晴 | 9 |\n| 阴 | 6 |\n| 多云 | 9 |\n| 阵雨 | 5 |\n| 雷阵雨 | 2 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/2dc0c53ad711bd3e11b4b71bce68cf91.png", "anno": "### 中国体育代表队在奥运会上获得金牌数量统计图（第27届~第33届）\n| | 金牌/枚|\n| --- | --- |\n| 27届 | 28 |\n| 28届 | 32 |\n| 29届 | 51 |\n| 30届 | 38 |\n| 31届 | 26 |\n| 32届 | 38 |\n| 33届 | 38 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/8a9a9cb3504cb0e57e22179d449ec5d2.png", "anno": "### 2020年3月8日-3月13日全国新冠肺炎新增病例人数统计图\n\n| | 新增病例人数 |\n| --- | --- |\n| 3月8日 | 45 |\n| 3月9日 | 20 |\n| 3月10日 | 31 |\n| 3月11日 | 25 |\n| 3月12日 | 11 |\n| 3月13日 | 18 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/99812999d51c1b3116ccc27da9d23b1f.png", "anno": "### 小明跑步路程统计图\n\n| 天数 | 路程/km |\n| --- | --- |\n| 第一天 | 3 |\n| 第二天 | 4 |\n| 第三天 | 2 |\n\n| 周数 | 路程/km |\n| --- | --- |\n| 第一周 | 6 |\n| 第二周 | 9 |\n| 第三周 | 12 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/0ddfa99cd79d30ef565007f7853298e3.png", "anno": "### 家庭厨余垃圾重量统计图\n\n| 日期 | 菜叶-重量(单位:克) | 果皮-重量(单位:克) |\n| --- | --- | --- |\n| 4月9日 | 460 | 180 |\n| 4月10日 | 400 | 160 |\n| 4月11日 | 630 | 250 |\n| 4月12日 | 720 | 290 |\n| 4月13日 | 420 | 170 |\n| 4月14日 | 360 | 150 |\n| 4月15日 | 410 | 160 |\n| 4月16日 | 420 | 180 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/6355f2e46d530660510976fe3bc05606.png", "anno": "柱状图1(0,0),(0,0)\n\n| 名称 | 金额 |\n| --- | --- |\n| 瓜子 | 80 |\n| 花生 | 100 |\n| 糖果 | 120 |\n| 水果 | 200 |\n| 对联 | 60 |\n| 礼品 | 180 |\n| 饮料 | 50 |\n| 巧克力 | 150 |\n| 烟花 | 400 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/7855b79454f439b48454406b9c7297ef.png", "anno": "### 读书统计表\n#### 从统计表中可以看出，这五天我科技书看的时间最长，说明我喜欢科技书多一点。\n\n| 日期 | 作文书-时间 | 故事书-时间 | 科技书-时间 |\n| --- | --- | --- | --- |\n| 3月29日 | 30 | 50 | 60 |\n| 3月30日 | 40 | 30 | 75 |\n| 3月31日 | 40 | 35 | 60 |\n| 4月1日 | 30 | 40 | 65 |\n| 4月2日 | 45 | 50 | 80 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/bafcc3ad88666fb7dfa65a468453491b.png", "anno": "### 2022年上半年用水统计图\n\n| | 费用/元 |\n| --- | --- |\n| 一月 | 85 |\n| 二月 | 70 |\n| 三月 | 68 |\n| 四月 | 78 |\n| 五月 | 86 |\n| 六月 | 90 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c713527f8a0268743d7324250b56cf59.png", "anno": "柱状图1(0,0),(0,0)\n\n| 天气情况 | 人数 |\n| --- | --- |\n| 晴 | 9 |\n| 阴 | 6 |\n| 多云 | 9 |\n| 阵雨 | 5 |\n| 雷阵雨 | 2 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/d2dfb380ac01e6b6165dab859cd50341.png", "anno": "| | 男 | 女 |\n| --- | --- | --- |\n| 1 | 9 | 9 |\n| 2 | 11 | 9 |\n| 3 | 7 | 7 |\n| 4 | 18 | 15 |\n| 5 | 13 | 8 |\n| 6 | 15 | 7 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/661402248b214ea4841c96da9f5c2248.png", "anno": "### 统计图\n\n| | 数量 |\n| --- | --- |\n| 桃子 | 5 |\n| 梨 | 4 |\n| 苹果 | 3 |\n| 柿子 | 6 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/2181436b617a518a7b7effa34941adb5.png", "anno": "柱状图1(0,0),(0,0)\n\n### 年货开支统计图\n| | 金额 |\n| --- | --- |\n| 糖 | 21 |\n| 零食 | 56 |\n| 灯笼 | 30 |\n| 衣服 | 260 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/041ec9954d7ac546e49a4102ab6bd2a4.png", "anno": "柱状图1(0,0),(0,0)\n| | |\n| --- | --- |\n| 跑步 | 21 |\n| 打羽毛球 | 6 |\n| 游泳 | 3 |\n\n饼图1(0,0),(0,0)\n| | | |\n| --- | --- | --- |\n| 跑步 | 252$ ^{\\circ} $ | 70% |\n| | 36$ ^{\\circ} $ | 10% |\n| 羽 | 72$ ^{\\circ} $ | 20% |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/af17f5099e3c995e7476b8cb8e2b6c10.png", "anno": "柱状图1(0,0),(0,0)\n\n| | 最高气温-温度(℃) | 最低气温-温度(℃) |\n| --- | --- | --- |\n| 7.4 | 32 | 22 |\n| 7.5 | 32 | 22 |\n| 7.6 | 33 | 22 |\n| 7.7 | 31 | 26 |\n| 7.8 | 30 | 24 |\n| 7.9 | 31 | 24 |\n| 7.10 | 31 | 22 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/787764bd6db80322ffd8fd2cbbeeb3fb.png", "anno": "| | 价格 |\n| --- | --- |\n| 衣服 | 1000 |\n| 水果 | 500 |\n| 干果 | 300 |\n| 肉类 | 855 |\n| 零食 | 186 |\n| 蔬菜 | 483 |\n| 其 | 86 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a9b9b288a2b8d1163b3ba2448e2b130f.png", "anno": "柱状图1(0,0),(0,0)\n### 年货开支统计图\n| 商品 | 年货开支-金额 |\n| --- | --- |\n| 糖 | 30 |\n| 水果 | 140 |\n| 饼干 | 75 |\n| 春联 | 25 |\n| 灯笼 | 70 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/0b9696013a6c679efea2e2411e1c630e.png", "anno": "### 一周内满天写作业时间统计图\n#### 2020年11月15日\n\n| | 一周内满天写作业时间 |\n| --- | --- |\n| 一 | 120 |\n| 二 | 70 |\n| 三 | 30 |\n| 四 | 60 |\n| 五 | 120 |\n| 六 | 50 |\n| 日 | 60 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/36289cf48d13b337b2d839897ad34638.png", "anno": "柱状图1(0,0),(0,0)\n### 某地区城镇人口数统计图\n\n| 年份 | 城镇人口数-人数/万人 |\n| --- | --- |\n| 1980 | 21 |\n| 1990 | 27 |\n| 2000 | 33 |\n| 2010 | 60 |\n| 2020 | 70 |\n\n柱状图2(0,0),(0,0)\n### 某地区农村人口数统计图\n\n| 年份 | 农村人口数-人数/万人 |\n| --- | --- |\n| 1980 | 58 |\n| 1990 | 54 |\n| 2000 | 54 |\n| 2010 | 52 |\n| 2020 | 40 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b3b0526e0e38a6e1748c5280b2965d85.png", "anno": "柱状图1(0,0),(0,0)\n### 2024年春节购买年货支出情况统计表\n\n| 购买商品 | 金额 |\n| --- | --- |\n| 糖果 | 30 |\n| 饼干 | 55 |\n| 水果 | 80 |\n| 饮料 | 40 |\n| 灯笼 | 20 |\n| 春联 | 15 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/d8a30154fdc4b499977473d842de09d8.png", "anno": "柱状图1(0,0),(0,0)\n### 2022年上半年用水\n| 月份 | 费用 |\n| --- | --- |\n| 1 | 35 |\n| 2 | 40 |\n| 3 | 40 |\n| 4 | 55 |\n| 5 | 50 |\n| 6 | 60 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/cffefe19782d22e8cf34785f5f79d67a.png", "anno": "柱状图1(0,0),(0,0)\n### 年货开支统计图\n| 商品 | 金额 |\n| --- | --- |\n| 糖 | 30 |\n| 水果 | 140 |\n| 饼干 | 70 |\n| 春联 | 20 |\n| 灯笼 | 72 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/ad4adbdc026ce438766960474aa1fbef.png", "anno": "柱状图1(0,0),(0,0)\n### 2020年某县（七日）疫情统计图\n\n| （日期） | 确诊-例（人数） | 疑似-例（人数） |\n| --- | --- | --- |\n| 1月27日 | 5 | 7 |\n| 1月28日 | 8 | 7 |\n| 1月29日 | 11 | 7 |\n| 1月30日 | 13 | 2 |\n| 1月31日 | 14 | 1 |\n| 2月1日 | 17 | 0 |\n| 2月2日 | 19 | 1 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/2c78536c0ac73d504184d2f5f994d22e.png", "anno": "柱状图1(0,0),(0,0)\n\n| | (天) |\n| --- | --- |\n| 晴 | 8 |\n| 多云 | 6 |\n| 阴 | 3 |\n| 小雨 | 3 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/790e94581e11b56d6a294a502605ca60.png", "anno": "柱状图1(0,0),(0,0)\n### X市2024年8月天气情况（标题）\n| 天气情况 | 天数 |\n| --- | --- |\n| 晴 | 9 |\n| 阴 | 6 |\n| 多云 | 9 |\n| 阵雨 | 5 |\n| 雷阵雨 | 2 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a13054fd8163e464abedc6d1bb420852.png", "anno": "柱状图1(0,0),(0,0)\n| 项目 | 金额 | |\n| --- | --- | --- |\n| 买衣服 | 2500 | 10% |\n| 买礼物 | 2000 | 20% |\n| 买食材 | 1000 | 10% |\n| 买饮料 | 1500 | 15% |\n| 压岁钱 | 3000 | 30% |\n\n饼图1(0,0),(0,0)\n| | |\n| --- | --- |\n| 买食材 | 10% |\n| 买礼物 | 20% |\n| 买饮料 | 15% |\n| 压岁钱 | 30% |\n| 买衣服 | 25% |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/ae561144b8637e02faf1fbde2cc6a4a4.png", "anno": "柱状图1(0,0),(0,0)\n### 杭州市北秀小学402班过年地点统计图\n\n| | 人数 |\n| --- | --- |\n| 留杭自家过年 | 8人 |\n| 留杭亲朋家过年 | 5人 |\n| 回老家过年 | 24人 |\n\n柱状图2(0,0),(0,0)\n### 杭州市北秀小学402班和四年级(取平均数)过年地点统计图\n\n| 过年方式 | 402班-人数 | 四年级平均数-人数 |\n| --- | --- | --- |\n| 留杭自家过年 | 8人 | 13人 |\n| 留杭亲朋家过年 | 5人 | |\n| 回老家过年 | 24人 | |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/88bbea52294b1c8c370ac22daef680d2.png", "anno": "柱状图1(0,0),(0,0)\n| | 深蓝色 | 粉色 | 绿色 | 棕色 | 黄色 | 红色 | 浅蓝色 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| | 30 | | | | | | |\n| | | 120 | | | | | |\n| | | | 200 | | | | |\n| | | | | 75 | | | |\n| | | | | | 50 | | |\n| | | | | | | 150 | |\n| | | | | | | | 50 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c3cf3d428cc7b978ee2e0937f4c4cbb3.png", "anno": "### 年货开支统计图\n| 商品 | 价格 |\n| --- | --- |\n| 糖果 | 40 |\n| 水果 | 300 |\n| 瓜子 | 26 |\n| 对联 | 45 |\n| 薯片 | 55 |\n| 礼品 | 234 |\n| 坚果 | 150 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/0ead6c9c80cadee68ec4adf60cbb0a41.png", "anno": "柱状图1(0,0),(0,0)\n\n| | |\n| --- | --- |\n| 9.29 | 56元 |\n| 9.30 | 20元 |\n| 10.1 | 72元 |\n| 10.2 | 1934元 |\n| 10.3 | 38元 |\n| 10.4 | 213元 |\n| 10.5 | 362元 |\n| 10.6 | 136元 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c762c44bd1e2e2767f02546a1ef29d5e.png", "anno": "柱状图1(0,0),(0,0)\n\n| | |\n| --- | --- |\n| 晴 | 10 |\n| 多云 | 5 |\n| 阴 | 8 |\n| 大雨 | 1 |\n| 雾 | 0 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/790ed8aab43b01c4326ce939c082f950.png", "anno": "### 广东省及广州市“冠状病毒”新增出院人数统计图\n#### （2020年2月6日0时~15时24时）\n#### 数据来源：广东省卫建委\n\n| | 广东省-单位：人 | 广州市-单位：人 |\n| --- | --- | --- |\n| 6日 | 19 | 8 |\n| 7日 | 29 | 1 |\n| 8日 | 28 | 6 |\n| 9日 | 18 | 15 |\n| 10日 | 38 | 7 |\n| 11日 | 60 | 21 |\n| 12日 | 43 | 1 |\n| 13日 | 48 | 7 |\n| 14日 | 54 | 15 |\n| 15日 | 50 | 28 |\n\n### 广东省及广州市“冠状病毒”新增确诊人数统计图\n#### （2020年2月6日0时~15日24时）\n#### 数据来源：广东省卫建委\n\n| | 广东省-单位：人 | 广州市-单位：人 |\n| --- | --- | --- |\n| 6日 | 74 | 29 |\n| 7日 | 57 | 14 |\n| 8日 | 45 | 6 |\n| 9日 | 31 | 9 |\n| 10日 | 26 | 4 |\n| 11日 | 42 | 6 |\n| 12日 | 22 | 4 |\n| 13日 | 20 | 1 |\n| 14日 | 33 | 7 |\n| 15日 | 22 | 3 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/273164b96dff925aae57726b91e3f7e5.png", "anno": "柱状图1(0,0),(0,0)\n\n| | 天数 |\n| --- | --- |\n| 晴 | 11 |\n| 多云 | 4 |\n| 阴 | 7 |\n| 小雨 | 6 |\n| 大雨 | 3 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/149352ff4da998dd9b4e1e6f05e47a82.png", "anno": "柱状图1(0,0),(0,0)\n\n| 月份 | 电费（元） |\n| --- | --- |\n| 1月 | 201 |\n| 2月 | 187 |\n| 3月 | 168 |\n| 4月 | 144 |\n| 5月 | 170 |\n| 6月 | 277 |\n| 7月 | 429 |\n| 8月 | 511 |\n| 9月 | 445 |\n| 10月 | 438 |\n\n折线图1(0,0),(0,0)\n### 家庭用电统计分析\n\n| 月份 | 电费（元） |\n| --- | --- |\n| 1月 | 201 |\n| 2月 | 187 |\n| 3月 | 168 |\n| 4月 | 144 |\n| 5月 | 170 |\n| 6月 | 277 |\n| 7月 | 429 |\n| 8月 | 511 |\n| 9月 | 445 |\n| 10月 | 438 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/245a7ca0bd0ae7058e759affe961f466.png", "anno": "柱状图1(0,0),(0,0)\n\n| | 金额-金额 |\n| --- | --- |\n| 吃饭 | 1220 |\n| 购物 | 2100 |\n| 医疗 | 5500 |\n| 生活缴费 | 2200 |\n| 坐车/出租车 | 710 |\n| 娱乐 | 2100 |\n| 其它 | 700 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/6152a7364be5f16ea6483c065a17e295.png", "anno": "### 我国五个省的确诊病例和出院病例复式条形统计图\n| 省 | 确诊病例-人 | 出院病例-人 |\n| --- | --- | --- |\n| 江苏省 22日 | 0 | 24 |\n| 23日 | 0 | 16 |\n| 24日 | 0 | 31 |\n| 25日 | 0 | 5 |\n| 26日 | 0 | 31 |\n| 27日 | 0 | 12 |\n| 安徽省 22日 | 1 | 28 |\n| 23日 | 0 | 44 |\n| 24日 | 0 | 35 |\n| 25日 | 0 | 37 |\n| 26日 | 0 | 51 |\n| 27日 | 1 | 27 |\n| 浙江省 22日 | 0 | 35 |\n| 23日 | 0 | 36 |\n| 24日 | 0 | 29 |\n| 25日 | 0 | 20 |\n| 26日 | 0 | 67 |\n| 27日 | 0 | 67 |\n| 山东省 22日 | 21 | 28 |\n| 23日 | 1 | 14 |\n| 24日 | 1 | 18 |\n| 25日 | 1 | 14 |\n| 26日 | 0 | 24 |\n| 27日 | 0 | 9 |\n| 湖北省 22日 | 632 | 1742 |\n| 23日 | 398 | 1439 |\n| 24日 | 419 | 2116 |\n| 25日 | 408 | 2058 |\n| 26日 | 408 | 2288 |\n| 27日 | 318 | 3203 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/f9e86c3875fa00840028a12e854a6fb9.png", "anno": "柱状图1(0,0),(0,0)\n| | |\n| --- | --- |\n| 跳水 | 4 |\n| 蝶泳 | 10 |\n| 自由泳 | 12 |\n| 蛙泳 | 14 |\n| 仰泳 | 10 |\n| 潜泳 | 6 |\n| 接力 | 2 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/8a0959048212bd904558d783d5bce485.png", "anno": "| | 费用/元 |\n| --- | --- |\n| 一月 | 70 |\n| 二月 | 68 |\n| 三月 | 65 |\n| 四月 | 80 |\n| 五月 | 85 |\n| 六月 | 90 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/3d84b7c9e6bf011cb4bdb915aa982244.png", "anno": "柱状图1(0,0),(0,0)\n### 条形统计图\n| 天气情况 | 人数 |\n| --- | --- |\n| 晴 | 9 |\n| 阴 | 6 |\n| 多云 | 9 |\n| 阵雨 | 5 |\n| 雷阵雨 | 2 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/47e69f8dcd12e7539be3890beb8ccce6.png", "anno": "### Come Here Often?\n\n| | PERCENTAGE WHO SAY THEY \"ALWAYS\" ORGASM | PERCENTAGE WHO SAY THEY \"ALWAYS\" ORGASM |\n| --- | --- | --- |\n| HETEROSEXUALS | 30% | 80% |\n| HOMOSEXUALS | 65% | 75% |\n| BISEXUALS | 40% | 70% |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/240e0ddfcce0f87100cbd3136dd509b4.png", "anno": "### We are building our Stamina！\n#### Our goal: 20 minutes！\n| | minutes of reading |\n| --- | --- |\n| Sept.5 | 1.5 |\n| Sept.6 | 1.2 |\n| Sept.9 | 3 |\n| Sept.10 | 4 |\n| Sept.11 | 5 |\n| Sept.16 | 7 |\n| Sept.17 | 7 |\n| Sept.18 | 9 |\n| Sept.19 | 10 |\n| Sept.23 | 12 |\n| Sept.24 | 13 |\n| Sept.25 | 15 |\n| Sept.26 | 16 |\n| Sept.30 | 17 |\n| Oct.2 | 18 |\n| Oct.4 | 19 |\n| Oct.7 | 20 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/240e0ddfcce0f87100cbd3136dd509b4.png", "anno": "柱状图1(0,0),(0,0)\n### We are building our Stamina！\n\n| | minutes of reading |\n| Sept.5 | 1.5 |\n| Sept.6 | 1.2 |\n| Sept.9 | 3 |\n| Sept.10 | 4 |\n| Sept.11 | 5 |\n| Sept.16 | 7 |\n| Sept.17 | 7 |\n| Sept.18 | 9 |\n| Sept.19 | 10 |\n| Sept.23 | 12 |\n| Sept.24 | 13 |\n| Sept.25 | 15 |\n| Sept.26 | 16 |\n| Sept.30 | 17 |\n| Oct.2 | 18 | \n| Oct.4 | 19 |\n| Oct.7 | 20 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/59c049c96cd8fc3c3a3b7213a645caa5.png", "anno": "柱状图1(0,0),(0,0)\n\n| D. | Sleep time.-T | |\n| --- | --- | --- |\n| M | 7 | 1:00 |\n| T | 8 | 12:00 |\n| W | 8.2 | 12:30. |\n| T | 6 | 2:30. |\n| F | 8 | 12:00 |\n| S | 9 | 1:00 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/fb658ba01142c200034dc4c274bd164f.png", "anno": "### Our Fluency Graph\n| Week Number | Words per minute |\n| --- | --- |\n| 1 | 70 |\n| 2 | 73 |\n| 3 | 68 |\n| 4 | 72 |\n| 5 | |\n| 6 | |\n| 7 | |\n| 8 | |\n| 9 | |\n| 10 | |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f700701173d6d6fd1f1659e87eefe993.png", "anno": "柱状图1(0,0),(0,0)\n### Favorite Color\n\n| Color | Number of Students |\n| --- | --- | \n| Green | 2 |\n| Orange | 3 | \n| Pink | 7 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6ad6783b425877a64b600753cf7a73c5.png", "anno": "柱状图1(0,0),(0,0)\n### Graph template\n\n| | 蓝色柱 | 红色柱 |\n| --- | --- | --- |\n| Lorem ipsum | 73% | |\n| Dolor modus emula | 62% | |\n| Scriptum ex macinus | 51% | |\n| Best value name | | 98% |\n| Karpis unont def | 90% | |\n| Ipsuminu pese vesik | 38% | |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/60bcbd0227cd4bb88081f9307a942925.png", "anno": "### Mouthly Income and Expenditure in 12 Months\n| | Income | Expend-iture |\n| --- | --- | --- |\n| Jan | 8000 | 6000 |\n| Feb | 8850 | 6710 |\n| Mar | 8280 | 6000 |\n| Apr | 8420 | 6280 |\n| May | 9130 | 7420 |\n| Jun | 8420 | 8000 |\n| Jul | 9130 | 8000 |\n| Aug | 8420 | 7840 |\n| Sep | 9130 | 7780 |\n| Oct | 8420 | 7560 |\n| Nov | 7565 | 7280 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/61fc08b7120680b18df2df1873f77316.png", "anno": "柱状图1(0,0),(0,0)\n### Graph template\n| | |\n| --- | --- |\n| Lorem ipsum | 73% |\n| Dolor modus emula | 62% |\n| Scriptum ex macinus | 51% |\n| Best value name | 98% |\n| Korpis umont def | 90% |\n| Ipsuminu pese vesik | 38% |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/2fa3d2be8694931cd0008b37d9fe8bd6.png", "anno": "| Class | Number of children |\n| --- | --- |\n| Fifth | 135 |\n| Sixth | 120 |\n| Seventh | 95 |\n| Eighth | 100 |\n| Ninth | 80 |\n| Tenth | 100 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/1819e29d99fd25107f1f884aedad49c4.png", "anno": "柱状图1(0,0),(0,0)\n### sleep & kcal\n\n| | sleep | kcal |\n| --- | --- | --- |\n| M | 23:00 - 5:30 | |\n| T | 12:30 - 5:30 | |\n| W | 23:30 - 6:00 | |\n| T | 23:00 - 5:30 | |\n| F | 23:00 - 5:00 | |\n| S | 23:30-5:30 | |\n| S | 23:30-5:30 | |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/0ae48af24940bb871ba76317ff23e910.png", "anno": "柱状图1(0,0),(0,0)\n\n| | Sleep-Light |\n| --- | --- |\n| M | 7.5 |\n| T | 6.0 |\n| W | 4.9 |\n| T | 6.3 |\n| F | 5.2 |\n| S | 5.3 |\n| S | 6.1 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/1b16fea4e21bf5299ee2eeac8bf77f31.png", "anno": "### BAR GRAPH MODEL\n\n| Fruits | Quantity |\n| --- | --- |\n| Apple | 7000 |\n| Orange | 3000 |\n| Grapes | 5600 |\n| Banana | 5000 |\n| Kiwi | 4200 |\n| Lemon | 4000 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a1e536411ef0c556bba9735cca382cf7.png", "anno": "### Aids ($ billion) given by six developed countries\n| countries | 2008 | 2009 | 2010 |\n| --- | --- | --- | --- |\n| uSA | 18 | 17 | 24 |\n| uK | 9 | 8 | 10 |\n| Germany | 8 | 7 | 9 |\n| Japan | 8 | 7 | 9 |\n| Netherland | 5.5 | 5 | 5.3 |\n| Swede | 3 | 4 | 4.5 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b3b6aa506c20a2702696f11ffc4d5049.png", "anno": "| | no ear-household percentage | 1 car-household percentage | 2 or more cars-household percentage |\n| --- | --- | --- | --- |\n| 1971 | 49 | 39 | 18 |\n| 1981 | 40 | 33 | 31 |\n| 1991 | 36 | 50 | 30 |\n| 2001 | 34 | 42 | 33 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/78cd3b4680a2ccee4d500f0f33b34650.png", "anno": "柱状图1(0,0),(0,0)\n### SLEEP RECORDS\n\n| | | |\n| --- | --- | --- |\n| M | 6H15M | |\n| T | 9H | |\n| W | 7H30M | |\n| T | 7H | |\n| F | 8H | |\n| S | 5H30M | |\n| S | 3H | 4H |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/58f9c0800d928b0b33c3aa1ce14fde68.png", "anno": "柱状图1(0,0),(0,0)\n\n| | |\n| --- | --- |\n| 19 | |\n| 20 | 2h |\n| 21 | 3.5h |\n| 22 | 3.5h |\n| 23 | 5h |\n| 24 | |\n| 25 | |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/2330b14da2133059f17d3400c24bd4c0.png", "anno": "### Sales\n| Year | Biscuits-Sales (Sh'000') | Bread-Sales (Sh'000') | Cakes-Sales (Sh'000') |\n| --- | --- | --- | --- |\n| 2005 | 60 | 140 | 210 |\n| 2006 | 120 | 220 | 330 |\n| 2007 | 125 | 250 | 350 |\n| 2008 | 160 | 300 | 500 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/7e319f92d3c142f2b21efb4b4568da33.png", "anno": "| | |\n| --- | --- |\n| dinosaur | 12m |\n| giraffe | 8m |\n| trees | 8.5m |\n| villa | 6m |\n| truck | 4m |\n| polar bear | 3m |\n| doors | 2m |\n| person | 1.5m |\n| dog | 0.6m |\n| rat | 0.2m |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/1eb2637c08551effb542128ada4614fd.png", "anno": "| HABIT T | LEEP |\n| --- | --- |\n| 一 | 7h10m |\n| 二 | 6h31m |\n| 三 | 7h15min |\n| 四 | 6h50m |\n| 五 | 6h30m |\n| 六 | 7h40m |\n| 日 | 7 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/750fdcfdde835be5186b3e19fa8cec8f.png", "anno": "| | study | sleep |\n| --- | --- | --- |\n| 一 | 10h36min | 7h30min |\n| 二 | 11h33min | 7h |\n| 三 | 9h | 7h10min |\n| 四 | 11h | 7h |\n| 五 | 8h | 6h50min |\n| 六 | 10h | 7h25min |\n| 天 | 7h | 6h50min |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/7346a4b9aae9ecd2a788e296b24c7a9f.png", "anno": "| Subject | $ 1^{st} $ term-Marks obtained out of 100 | $ 2^{nd} $ term-Marks obtained out of 100 |\n| --- | --- | --- |\n| English | 68 | 70 |\n| Hindi | 72 | 65 |\n| Maths | 88 | 93 |\n| Science | 80 | 83 |\n| S.Science | 72 | 73 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a3f631b7740bf47c5f39468290e0f92c.png", "anno": "柱状图1(0,0),(0,0)\n\n| | | |\n| --- | --- | --- |\n| family | 1 | 4 |\n| Marriage | 2 | 6 |\n| Health | 3 | 5 |\n| Spirituality | 4 | 2.6 |\n| Giving | 5 | 6 |\n| Career | 6 | 4.5 |\n| Home | 7 | 4.5 |\n| fun | 8 | 6 |\n| Wellbeing | 9 | 6 |\n| finances | 10 | 5.4 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/06525dca8d1d4ccca884757987bf03d9.png", "anno": "| x | Q-y | H-y |\n| --- | --- | --- |\n| A | 10 | 15 |\n| B | 15 | 19 |\n| C | 11 | 16 |\n| D | 20 | 21 |\n| E | 9 | 15 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/2168cf11375f1d7920352721b0eacdbb.png", "anno": "柱状图1(0,0),(0,0)\n### Weekly Feeding Record\n\n| | 奶粉瓶喂-ML |\n| --- | --- |\n| 27 | 750 |\n| 28 | 800 |\n| 29 | 550 |\n| 30 | 600 |\n| 1 | 580 |\n| 2 | 620 |\n| 3 | 660 |\n\n| | 睡眠记录-H |\n| --- | --- |\n| 27 | 11.0 |\n| 28 | 11.5 |\n| 29 | 12.0 |\n| 30 | 13.0 |\n| 1 | 13.5 |\n| 2 | 12.8 |\n| 3 | 14.0 |\n\n| | 嘘嘘-次 |\n| --- | --- |\n| 27 | 5 |\n| 28 | 3 |\n| 29 | 4 |\n| 30 | 4 |\n| 1 | 5 |\n| 2 | 5 |\n| 3 | 4 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/d058ab7749159c67504ce618516a26a1.png", "anno": "| | hour |\n| --- | --- |\n| MON | 4h33min |\n| TUE | 4h |\n| WED | 5h23m |\n| THR | 4h42m |\n| FRI | 3h52m |\n| SAT | 5h31m |\n| SUN | 5h05m |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/2820f198698175fbc9a30598856abff4.png", "anno": "### health spending of GDP : 2002\n\n| | The total spending | Private spending | Public spending |\n| --- | --- | --- | --- | --- | --- |\n| Japan | 8.1 | 2.0 | 3.8 |\n| Italy | 9.8 | 3.2 | 5.9 |\n| France | 12.0 | 2.9 | 7.9 |\n| German | 12.3 | 4.1 | 9.1 |\n| USA | 16.0 | 13.7 | 10.6 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/3ca383ea1bcc2fcd129909f571d621f6.png", "anno": "| | Sleep Time-(h) |\n| --- | --- |\n| M | 8.4 |\n| T | 8.3 |\n| W | 8.7 |\n| T | 8.4 |\n| F | 8.3 |\n| S | 7.8 |\n| S | 10 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/240e0ddfcce0f87100cbd3136dd509b4.png", "anno": "### We are building our Stamina！\n#### Our goal: 20 minutes!\n#### WE DID IT!\n\n| | minutes of reading |\n| --- | --- |\n| Sept.5 | 1.5 |\n| Sept.6 | 1 |\n| Sept.9 | 3 |\n| Sept.10 | 4 |\n| Sept.11 | 5 |\n| Sept.16 | 7 |\n| Sept.17 | 7 |\n| Sept.18 | 9 |\n| Sept.19 | 10 |\n| Sept.23 | 12 |\n| Sept.24 | 13 |\n| Sept.25 | 15 |\n| Sept.26 | 16 |\n| Sept.30 | 17 |\n| Oct.2 | 18 |\n| Oct.4 | 19 |\n| Oct.7 | 20 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/67a30e278dc797ded0bb8a9d1ba751f5.png", "anno": "| | |\n| --- | --- |\n| Apple | 10 |\n| Orange | 33 |\n| Banana | 25 |\n| Mango | 42 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f1456af58a2027ba7fea5ff26921c0f5.png", "anno": "| | | |\n| --- | --- | --- |\n| Blue | a | 22 |\n| Blue | b | 23 |\n| Blue | a | 22 |\n| Blue | b | 22 |\n| Red | a | 22 |\n| Red | b | 22 |\n| Red | a | 21 |\n| Red | b | 22 |\n| Yellow | a | 21 |\n| Yellow | b | 21 |\n| Yellow | a | 19 |\n| Yellow | b | 19 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/d0d7242cbb1409f3fb454280e253f55f.png", "anno": "### Block diagram to show favourite vatchibals\n\n| | Number of children |\n| --- | --- |\n| broccoli | 9 |\n| potato | 10 |\n| carrot | 2 |\n| tomato | 6 |\n| mushroom | 7 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/c6ff2f549bc235d2762d3012cd4b74ba.png", "anno": "### h week) 9.26~10.2\n#### Sleep time\n\n| | |\n| --- | --- |\n| M | 8.2h |\n| T | 8h |\n| W | 7.8h |\n| T | 7.9h |\n| F | 7.9h |\n| S | 7.2h |\n| S | 9.3h |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/ba3d32ec411282e59846db422ab17613.png", "anno": "柱状图1(0,0),(0,0)\n| | |\n| --- | --- |\n| 20 | 14 |\n| 21 | 14 |\n| 22 | 13 |\n| 23 | 14 |\n| 24 | 15 |\n| 25 | 13 |\n| 26 | 12 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/8f39e69b379a45a34b53e74132267652.png", "anno": "柱状图1(0,0),(0,0)\n\n| | | |\n| --- | --- | --- |\n| Q'04 | 0.28 | 0.32 |\n| Q'05 | 0.34 | 0.75 |\n| Q'06 | 0.56 | 1.5 |\n\n柱状图2(0,0),(0,0)\n### URGING IN SEARCH\n#### Google's search business is growing twice as fast as Yahoo's \n\n| | YAHOO!-BILLIONS OF DOLLARS | GOOGLE-BILLIONS OF DOLLARS | \n| --- | --- | --- |\n| Q'04 | 0.26 | 0.38 |\n| Q'05 | 0.42 | 0.8 |\n| Q'06 | 0.57 | 1.5 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/22b18e37e502a2fe9e898954b0c72c75.png", "anno": "### I❤️my heart\n\n| e | R | \n| --- | --- |\n| Sitting | 95 | \n| Jumping | 110 | \n| Reading | 100 | \n| Running | 120 | \n| Swimming | 125 | \n| Rid | 120 | ", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/c20cccc3e1d0b372de523ab60c0a5cba.png", "anno": "### Top 6 Highest population countries\n\n| Country | Highest population |\n| --- | --- |\n| Nigeria | 20 |\n| Indonesia | 80 |\n| India | 100 |\n| USA | 60 |\n| Pakistan | 40 |\n| China | 90 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/4b5f52da8db97ce0f69b9285eda624be.png", "anno": "柱状图1(0,0),(0,0)\n### Regular video use by platform\n#### This year, we decided to study which platforms marketers use to regularly publish video. Facebook is the top platform (58%), followed by Instagram (49%) and YouTube (47%).\n\n| Platform | |\n| --- | --- |\n| Facebook | 58% |\n| Instagram | 49% |\n| YouTube | 47% |\n| LinkedIn | 18% |\n| TikTok | 11% |\n| Twitter | 11% |\n| Snapchat | 1% |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/e28c2e65322dc17efaf6cf3a9f235a35.png", "anno": "### percentage of adults by age group of using the internet from 2003 - 2006\n| | 2003 | 2004 | 2005 | 2006 |\n| --- | --- | --- | --- | --- |\n| 16-24 | 94% | 93% | 100% | 98% |\n| 25-44 | 76% | 81% | 86% | 90% |\n| 45-50 | 70% | 75% | 72% | 81% |\n| 55-64 | 51% | 55% | 62% | 74% |\n| $ 65^{+} $ | 30% | 31% | 31% | 32% |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/5365b7fd531778fe38e2731d44b8e72c.png", "anno": "### Sleep 睡眠 & 体重\n\n| | 睡眠 | 体重 |\n| --- | --- | --- |\n| M | 8 | 53.1 |\n| T | 7.5 | 52.9 |\n| W | 10 | 53.0 |\n| T | 7.5 | 53.0 |\n| F | 10 | 53.3 |\n| S | 9 | 53.2 |\n| S | 6 | 53.0 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/756c0a80c65224482ba0946f60b2e715.png", "anno": "| YEARS→ | Male | Female |\n| --- | --- | --- |\n| 1961 | 40 | 20 |\n| 1971 | 56 | 37 |\n| 1981 | 65 | 50 |\n| 1991 | 76 | 65 |\n| 2001 | 85 | 75 |\n| 2011 | 90 | 80 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b73123f28bcbdcb23fc40a4e378114fa.png", "anno": "### Family spending perweek\n| | 1957 | 2007 |\n| --- | --- | --- |\n| Housing | 12% | 10% |\n| Food | 33% | 15% |\n| goods | 7% | 2% |\n| clothing | 9% | 5% |\n| H/S | 14% | 15% |\n| Transport | 17% | 37% |\n| other services | 8% | 16% |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/3486db412c5d7d62f902f1e4dbad9e3a.png", "anno": "| | |\n| --- | --- |\n| M | 3H20 |\n| T | 6H |\n| W | 6H40 |\n| T | 4H9 |\n| F | 2H16 |\n| S | 5H35 |\n| S | 6H34 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b7abd8e11ae61fb7bcec622c40a09a53.png", "anno": "柱状图1(0,0),(0,0)\n| | |\n| --- | --- |\n| 1 | 119 |\n| 2 | 110 |\n| 3 | 120 |\n| 4 | 20 |\n| 5 | 60 |\n| 6 | 50 |\n| 7 | 30 |\n| 8 | 41 |\n| 9 | 119 |\n| 10 | 120 |\n| 11 | 120 |\n| 12 | 50 |\n| 13 | 40 |\n| 14 | 40 |\n| 15 | 120 |\n| 16 | 118 |\n| 17 | 90 |\n| 18 | 90 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/8f92deb96971e45c5b33ab79ed8cd147.png", "anno": "### BAR GRAPH\n\n| COUNTRY | LIFE EXPECTANCY (IN YEARS) |\n| --- | --- |\n| ETHIOPIA | 50 |\n| JAPAN | 80 |\n| BRITAIN | 30 |\n| CAMBODIA | 60 |\n| INDIA | 90 |\n| UK | 100 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b1640610a9ee1658e31cd5be645195b1.png", "anno": "| | A-Count | B-Count | C-Count |\n| --- | --- | --- | --- |\n| 1 Yes| 14 | 0 | 6 |\n| 1 No| 8 | 15 | 20 |\n| 2 Yes | 0 | 6 | 14 |\n| 2 No | 11 | 11 | 23 |\n| 3 Yes | 20 | 36 | 24 |\n| 3 No | 15 | 0 | 30 |\n| 4 Yes | 8 | 0 | 8 |\n| 4 No | 16 | 8 | 8 |\n| 5 Yes | 0 | 0 | 13 |\n| 5 No | 13 | 14 | 13 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/12a9afd8ac026aa903afcaa80a2d86ce.png", "anno": "柱状图1(0,0),(0,0)\n\n| | |\n| --- | --- |\n| 1 | |\n| 2 | 3 |\n| 3 | 1 |\n| 4 | 2 |\n| 5 | 8 |\n| 6 | 8 |\n| 7 | 4 |\n| 8 | 6 |\n| 9 | 5 |\n| 10 | 2 |\n| 11 | 2 |\n| 12 | |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/309786e0a3aef6c0072b34e81b8a624b.png", "anno": "### Comparing Numbers\n| | 第一列 | 第二列 |\n| --- | --- | --- |\n| greater than | 8 | 5 |\n| equal to | 7 | 7 |\n| less than | 3 | 9 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/593b033182006f47de37f4baa6f9693f.png", "anno": "柱状图1(0,0),(0,0)\n### Sleep-Deep\n\n| | Deep Sleep |\n| --- | --- |\n| M | 75 |\n| T | 75 |\n| W | 105 |\n| T | 60 |\n| F | 85 |\n| S | 95 |\n| S | 96 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9a4f8d7e56a4817bae084d9805282575.png", "anno": "### Salaries in all sectors\n| sectors | $-thousand-2000 | $-thousand-2010 |\n| --- | --- | --- |\n| Police | 58 | 63 |\n| Finance | 115 | 121 |\n| Telecommunication | 100 | 104 |\n| Tourism | 21 | 18 |\n| ? | 51 | 60 |\n| ? | 51 | 63 |", "chart_type": "柱状图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/253f58b4431c93114a189df9316bcedc.png", "anno": "```mermaid\nflowchart TD\n A([\"申请\"])\n B[\"窗口咨询/电话咨询\"]\n C[\"快递申请\"]\n D[\"窗口申请\"]\n E[\"网上申请\"]\n F{\"是否支持快递申请\"}\n G[\"网上预约/电话预约\"]\n H[\"网上沟通/电话沟通\"]\n I[\"网上预审\"]\n J{\"是否必须提交纸质材料\"}\n K[\"收件\"]\n L[\"好差评\"]\n M{\"是否受理\"}\n N[\"材料补正\"]\n O[\"受理\"]\n P([\"结束\"])\n Q[\"决定\"]\n R[\"制证\"]\n S[\"不收费\"]\n T[\"1、放射性药品使用许可证
1-1、放射性药品使用许可证（副本）\"]\n U[\"送达\"]\n V[\"窗口领取/邮寄送达/网站下载\"]\n W([\"结束\"])\n X[\"好差评\"]\n\n A --> C\n A --> D\n A --> E\n B -.- C\n B -.- D\n B -.- E\n C --> F\n D --> K\n E -->|需要预审| I\n E -->|不需要预审| J\n F -->|是| K\n F -->|否| C\n F -->|否| D\n F -->|否| E\n G -.- K\n H ~~~ F\n I -->|通过预审| J\n J -->|是| D\n J -->|是| F\n J -->|否| M\n K --> M\n L -.- M\n M -->|是| O\n M -->|否, 材料需补正| N\n M -->|否, 不符合条件| P\n N --> C\n N --> D\n N --> E\n O --> Q\n Q --> R\n R --> T\n R -.- S\n T --> U\n U --> W\n U -.- V\n W -.- X\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/4a539afbc5dcd8fd7234d819f8e508c0.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"评价指标\"]\n C[\"车速\"]\n D[\"车密度\"]\n E[\"车流量\"]\n F[\"构建决策矩阵\"]\n G[\"标准化决策矩阵\"]\n H[\"向量归一化\"]\n I[\"PCA权重计算\"]\n J[\"TOPSIS方法\"]\n K[\"时间段与理想解的欧式距离\"]\n L[\"时间段与负理想解的欧式距离\"]\n subgraph ide1 [\" \"]\n M[\"相对接近度$$C_{i}$$\"]\n N{\"比较相对接近度与阈值(T)\"}\n end\n O[\"开启应急车道\"]\n P[\"准备启用应急车道\"]\n Q[\"不启用应急车道\"]\n R([\"结束\"])\n S((\"决策依据\"))\n\n A --> B\n B --> F\n B --> C\n B --> D\n B --> E\n F --> G\n H --> G\n G --> J\n I --> J\n J --> M\n J --> K\n J --> L\n ide1 ==> S\n M --> N\n N -->|\"$$C_{i}\\lt T_{activate}$$\"| O\n N -->|\"$$T_{activate}\\le C_{i}\\lt T_{prepare}$$\"| P\n N -->|\"$$C_{i}\\ge T_{activate}$$\"| Q\n O --> R\n P --> R\n Q --> R\n \n style ide1 stroke-dasharray: 5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/c2f3c21eee7687c60478c66a3f8c3b6e.png", "anno": "```mermaid\nflowchart TD\n subgraph ide1 [\"第二部分 概念审视\"]\n A[\"情感记忆\"]\n B[\"趋势\"]\n C[\"概念\"]\n D[\"特征\"]\n E[\"构成\"]\n F[\"原因\"]\n G[\"现象\"]\n H[\"情感\"]\n I[\"记忆\"]\n J[\"情感记忆\"]\n K[\"个人特征\"]\n L[\"时代特征\"]\n M[\"输入\"]\n N[\"存储\"]\n O[\"唤醒\"]\n P[\"形象表征\"]\n Q[\"语意标签\"]\n R[\"感官信息\"]\n S[\"行为模式\"]\n T[\"情境营造\"]\n end\n subgraph ide2 [\"第三部分 价值分析\"]\n U[\"结合唤醒线索进行案例分析\"]\n V[\"情感记忆 → 交互\"]\n W[\"认知\"]\n X[\"行为\"]\n Y[\"反思\"]\n Z[\"唤起自然感知\"]\n AA[\"帮助理解产品\"]\n AB[\"情感判断依据\"]\n AC[\"产生直觉反应\"]\n AD[\"情感与经验资源库\"]\n AE[\"发展前景\"]\n AF[\"实现情感满足\"]\n AG[\"我实现\"]\n AH[\"提升设计价值\"]\n end\n\n F --- B\n G --- B\n B --- A\n H --- C\n I --- C\n J --- C\n C --- A\n K --- D\n L --- D\n D --- A\n A --- E\n E --- M\n E --- N\n E --- O\n O --- P\n O --- Q\n O --- R\n O --- S\n O --- T\n U --> P\n U --> Q\n U --> R\n U --> S\n U --> T\n V --> U\n U ==> Z\n V --> W\n W --- Z\n W --- AA\n W --- AB\n W --> X\n X --- AC\n AC --> AD\n AD --> AE\n X --> Y\n Y --- AF\n Y --- AG\n Y --- AH\n\n classDef ide1Style stroke-dasharray:4 4;class ide1 ide1Style;\n```\n\n\n```mermaid\nflowchart TD\n subgraph ide1 [\"第四部分 应用方法\"]\n A[\"情感记忆\"]\n B[\"应用误区\"]\n C[\"形象表征\"]\n D[\"语意标签\"]\n E[\"行为模式\"]\n F[\"感官信息\"]\n G[\"情境营造\"]\n H[\"赋予老物件新功能
追寻同类物品的传承
拆解不同物品间联系\"]\n I[\"借鉴物品原先语意传达设计意义\"]\n J[\"探讨设计师与用户关系\"]\n K[\"改变老物件感官体验\"]\n L[\"以感官信息为线索\"]\n M[\"重现某种情境
重新编辑情境故事\"]\n N[\"在老物件基础上突破环境的限制\"]\n O[\"还原人物场景总结行为习惯
启用情感与经验资源库
调动用户原始经验
制造行为的反差，置换使用方式\"]\n end\n subgraph ide2 [\"第五部分 设计实践\"]\n P[\"情感记忆→交互式玩具\"]\n Q[\"“寻找儿时记忆” 课题研究小组\"]\n R[\"自我实践\"]\n S[\"调研用户
汇报活动
设计成果\"]\n end\n\n A --- B\n A --- C\n A --- D\n A --- E\n A --- F\n A --- G\n C --- H\n D --- I\n E --- J\n J --- O\n F --- K\n F --- L\n G --- M\n G --- N\n P --- Q\n P --- R\n Q --- S\n Q ==> N\n\n classDef ide2Style stroke-dasharray:4 4;class ide2 ide2Style;\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a2322b68297ad54ade4fbd06290381ab.png", "anno": "### 酿造酒精的生产方法与流程\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"空气\"}\n B@{shape: text, label: \"酵母\"}\n C@{shape: text, label: \"液化冷却器\"}\n D[\"酒母扩培罐\"]\n E[\"二氧化碳洗涤塔\"]\n F@{shape: text, label: \"新鲜一次水\"}\n G@{shape: text, label: \"二氧化碳装置\"}\n H@{shape: text, label: \"工艺水罐\"}\n I[\"1#发酵罐\"]\n J[\"2#发酵罐\"]\n K[\"3#发酵罐\"]\n L[\"4#发酵罐\"]\n M[\"5#发酵罐\"]\n N[\"成熟醪罐\"]\n O@{shape: text, label: \"酒精精制装置\"}\n\n A --> D\n B --> D\n C -->|液化醪| D\n C -->|液化醪、发酵醪 F1 L1| I\n C -->|液化醪、发酵醪 F1 L2| J\n C -->|液化醪、发酵醪 F2 L3| K\n C -->|液化醪、发酵醪 F2 L4| L\n C -->|液化醪、发酵醪 F2 L5| M\n D -->|酒母醪、发酵醪 F1 F2 L1| I\n D -->|酒母醪、发酵醪 F1 F2 L2| J\n D -->|酒母醪、发酵醪 F1 F2 L3| K\n D -->|酒母醪、发酵醪 F1 F2 L4| L\n D -->|酒母醪、发酵醪 F1 F2 L5| M\n D -->|二氧化碳| E\n I -->|V1、二氧化碳| E\n J -->|V2、二氧化碳| E\n K -->|V3、二氧化碳| E\n L -->|V4、二氧化碳| E\n M -->|V5、二氧化碳| E\n F --> E\n E -->|二氧化碳| G\n E --> H\n I -->|LD1、成熟醪| N\n J -->|LD2、成熟醪| N\n K -->|LD3、成熟醪| N\n L -->|LD4、成熟醪| N\n M -->|LD5、成熟醪| N\n N -->|成熟醪| O\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/5dd0ebc52abb0be5659d45a85fb43c23.png", "anno": "```mermaid\nflowchart TD\n A(\"开始\")\n B[\"租赁储物柜\"]\n C[\"查询空余柜子至销售前台或线上办理柜子\"]\n D[\"支付押金、租金\"]\n E[\"配置腕带或者刷脸、分配柜号绑定ID\"]\n F[\"获取媒介(腕带、刷脸)\"]\n G[\"生成订单、记录腕带ID\"]\n H[\"提供腕带ID、柜号至中转应用\"]\n I[\"获取腕带id和柜号 保存记录\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n E --> G\n E --> H\n H --> I\n```\n\n\n```mermaid\nflowchart TD\n A[\"开柜\"]\n B[\"腕带或者刷脸开箱、可以多次开箱\"]\n C[\"获取开柜记录\"]\n D[\"记录开箱记录\"]\n\n A --> B\n B --> C\n C --> D\n```\n\n\n```mermaid\nflowchart TD\n A[\"退柜\"]\n B[\"前台办理退柜、解锁订单柜号关系\"]\n C[\"提供腕带ID至中转\"]\n D[\"释放腕带ID与绑定柜子关系\"]\n E[\"押金原路返回\"]\n F[\"获取押金\"]\n G[\"中转信息成功\"]\n H[\"获取释放信息、记录退柜记录、释放库存\"]\n I(\"结束\")\n\n A --> B\n B --> C\n C --> D\n B --> E\n E --> F\n D --> G\n G --> H\n H --> I\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/e1d48c5db6bca2e8e1a519fdfc92cf36.png", "anno": "### 人力资源管理流程图\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"3.1 招聘控制流程\"}\n B@{shape: text, label: \"(用人计划表)\"}\n C[\"部门填写用人计划\"]\n D[\"人力资源部门整理用人计划表\"]\n E{\"雨\"}\n F{\"内部调\"}\n G[\"回馈人力资源部\"]\n H@{shape: text, label: \"(回馈单)\"}\n I[\"进入调动控制流程\"]\n J{\"古\"}\n K[\"组织相关初试方式及形式\"]\n L[\"根据初试方式人力资源部初试\"]\n M{\"⺮\"}\n N[\"放弃\"]\n O[\"推荐到用人部门复试\"]\n P@{shape: text, label: \"(复试表)\"}\n Q{\"八管领已有\"}\n R[\"总经理复试(部门负责人以上岗位)\"]\n S[\"退回人力资源部复审\"]\n T{\"复试会\"}\n U[\"放弃\"]\n V{\"总经理批\"}\n W[\"进入录用控制程序\"]\n\n A --> C\n C ~~~ B\n C --> D\n D --> E\n E -->|否| G\n G ~~~ H\n E --> F\n F --> J\n J -->|否| G\n F --> I\n J -->|是| K\n K --> L\n L --> M\n M -->|是| O\n M -->|否| N\n O ~~~ P\n O --> Q\n Q -->|是| R\n Q -->|否| S\n R --> T\n S --> T\n T -->|否| U\n T -->|是| V\n V -->|否| U\n T ~~~|是| W\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/9322226f9260adabb11e8b692204ef4f.png", "anno": "### 海运口岸集装箱进出口流程图\n\n提前申报\n运抵申报\n通用\n\n```mermaid\nflowchart TD\n A[\"船公司/船代
传输舱单数据
(单一窗口传输通道，时间同步)\"]\n B[\"船公司/船代
船舶到港\"]\n C[\"货物申报
一次性申报/两步申报
(单一窗口、互联网+海关)\"]\n D[\"码头
卸船/理货
(视箱量、天气等因素完成作业，班轮平均单机效率30箱/小时，支线平均单机效率22箱/小时;理货、发送报告与卸船时间同步)\"]\n E[\"船公司/船代
船舶到港\"]\n F[\"码头
卸船/理货
(视箱量、天气等因素完成作业，班轮平均单机效率30箱/小时，支线平均单机效率22箱/小时;理货、发送报告与卸船时间同步)\"]\n G{\"海关
部分查验\"}\n H[\"海关
货物(报关单)放行
(自动比对/人工审核)\"]\n I[\"船公司/船代(受理)
换取提货单
(船公司/船代系统，单一窗口，时间同步)\"]\n J[\"船公司/船代(受理)
押箱
(单一窗口、时间同步)\"]\n K[\"码头(受理)
提箱申请
(获得提箱码，时间同步)\"]\n L[\"码头
发箱(货主提箱);出闸
(外集卡港内作业时间平均30分钟;重箱通过智能闸口时间30秒内)\"]\n M[\"运输企业
送货至货主仓库
(闸口至卸车地距离不同，运输时间不同)\"]\n N[\"船公司/船代(受理)
空箱返场;退押
(时间同步)\"]\n O[\"货主/货代
海关查验推送/查询;预约
(单一窗口、时间同步)\"]\n P[\"码头
移箱作业
(外集卡港内作业时间平均30分钟)\"]\n Q[\"海关查验员/货主(代)
查验
(单一窗口已公示作业时间)\"]\n R[\"查验通过\"]\n\n A --> B\n B --> C\n A --> C\n B --> D\n C --> E\n D --> G\n C --> G\n E --> F\n F --> G\n G -->|非查验| H\n G -->|查验| O\n H --> J\n I --> J\n J --> K\n K --> L\n L --> M\n M --> N\n O --> P\n P --> Q\n Q --> R\n R --> H\n\n linkStyle 0,1,3,5,6 stroke:#ff00ff\n linkStyle 2,4,7,8 stroke:#00cc00\n linkStyle 9,10,11,12,13,14,15,16,17,18,19,20 stroke:#0066cc\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/d7ba5a21e699f2f47761d7e5f8fa9b08.png", "anno": "```mermaid\nflowchart TD\n A@{shape: text, label: \"接待工作\"}\n B(\"(1)
参观、来访会议、检查等\")\n C(\"门牌、横幅、招待物品准备\")\n D(\"(2)
车间负责接待\")\n E(\"办公室负责接待\")\n F(\"(3)
会议室、投影仪等相关物品准备并通知相关参与接待人员。\")\n G(\"(4)
如需到车间参观或检查\")\n H(\"会议\")\n I(\"相关人员食宿安排\")\n J(\"(5)
来访结束\")\n K(\"(6)
剩余接待物品收回并妥善保管\")\n L@{shape: text, label: \"会议室管理\"}\n M(\"(1)
工厂内部会议或培训使用\")\n N(\"事业部或销售公司使用\")\n O(\"(2)
会议组织人员提前两天向办公室申请\")\n P(\"厂领导或办公室主任批准\")\n Q(\"(3)
会议室负责人根据会议时间、会议重要程度、与会人数等具体安排会议室\")\n R(\"(4)
会议\")\n S(\"(5)
会议结束后, 将会议室交还负责人。会议室负责人检查相关设备是否完好\")\n\n A ~~~ B\n B --- C\n B --> D\n B --> E\n C --> E\n D <--> G\n E --> F\n F --> G\n F --> H\n G --> J\n H -->|如需安排食宿| I\n H --> J\n J --> K\n L ~~~ M\n M --> O\n N --> P\n O --> Q\n P --> Q\n Q --> F\n Q --> R\n R --> S\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/bf21038928dee198609f3c5a7040e52d.png", "anno": "```mermaid\nflowchart TD\n A([\"数字经济政策影响共同富裕的作用机制研究\"])\n B[\"研究内容\"]\n subgraph id1 [ ]\n C([\"研究背景\"])\n D([\"文献综述\"])\n E([\"理论机制\"])\n F([\"典型事实\"])\n G([\"实证分析\"])\n H([\"政策建议\"])\n end\n I[\"文献综述\"]\n subgraph id2 [ ]\n J([\"共同富裕水平的测算及其影响因素\"])\n K([\"数字经济发展水平的测算及其对共同富裕的影响机制\"])\n L([\"数字发展水平的测算及其对共同富裕的影响机制\"])\n end\n M[\"理论机制\"]\n subgraph id3 [ ]\n N([\"电子商务示范城市政策\"])\n subgraph id31 [ ]\n O([\"产业结构升级效应\"])\n P([\"科技创新效应\"])\n Q([\"总体富裕水平提升\"])\n end\n subgraph id32 [ ]\n R([\"创业活跃度提升\"])\n S([\"要素流动效应\"])\n T([\"共享富裕水平提升\"])\n end\n U([\"共同富裕水平提升\"])\n end\n V[\"典型事实\"]\n subgraph id4 [ ]\n W([\"数字经济城市建设政策的典型事实\"])\n X([\"共同富裕水平的典型事实\"])\n end\n Y[\"实证分析\"]\n subgraph id5 [ ]\n Z[\"基准回归\"]\n AA([\"数字经济示范城市政策\"])\n AB([\"共同富裕水平\"])\n AC([\"固定效应\"])\n AD[\"稳健性检验\"]\n AE[\"机制检验\"]\n AF[\"两步法\"]\n AG[\"异质性分析\"]\n AH[\"区位分布\"]\n AI[\"发展特征\"]\n AJ[\"拓展性分析\"]\n end\n AK[\"政策建议\"]\n subgraph id6 [ ]\n AL([\"数字经济政策促进共同富裕的有效路径\"])\n AM([\"持续扩大试点城市范围\"])\n AN([\"完善不发达地区基础设施建设\"])\n AO([\"打造数字经济发展的政策环境\"])\n end\n\n A --> C\n A --> D\n A --> E\n A --> F\n A --> G\n A --> H\n B -.-> I\n I -.-> M\n M -.-> V\n V -.-> Y\n Y -.-> AK\n B ==> id1\n I ==> id2\n M ==> id3\n N --> id31\n N --> id32\n O --> Q\n P --> Q\n R --> T\n S --> T\n id31 --> U\n id32 --> U\n V ==> id4\n Y ==> id5\n Z ~~~ AA\n AA --> AB\n AA --> AC\n AB --> AC\n AD ~~~ AE\n AE ~~~ AF\n AG ~~~ AH\n AG ~~~ AI\n AK ==> id6\n AL --> AM\n AL --> AN\n AL --> AO\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/42c09bbfd2fbcbe60e65c218a04acf1e.png", "anno": "### 手机组装工艺流程图\n\n```mermaid\nflowchart TD\n subgraph ide1 [焊接工段]\n A[\"主板升级\"]\n B[\"主板贴Dome片\"]\n C[\"焊接Mic/听筒/扬声器/马达\"]\n D[\"装天线支架组件/螺钉\"]\n E[\"焊接LCM/焊接屏幕\"]\n F[\"维修\"]\n G[\"维修自检/测试\"]\n end\n subgraph ide2 [装配工段]\n H[\"装底壳\"]\n I[\"底壳外观检查\"]\n J[\"加电测试/半成品测试\"]\n K[\"装前壳\"]\n L[\"前壳外观检查\"]\n M[\"锁螺丝钉\"]\n end\n subgraph ide3 [检测工段]\n N[\"功能测试\"]\n O[\"贴镜片\"]\n P[\"耦合测试\"]\n Q[\"外观检查\"]\n end\n subgraph ide4 [品控工段]\n R[\"FQC检查/抽检\"]\n S{\"合格判定\"}\n T[\"包装\"]\n end\n \n A --> B\n B --> C\n C --> D\n D --> E\n E --> H\n F --> G\n G --> H\n I --> H\n H --> J\n J --> K\n J -->|不合格| F\n L --> K\n K --> M\n M --> N\n M -->|不合格| F\n N --> O\n N -->|不合格| F\n O --> P\n O -->|不合格| F\n P --> Q\n P -->|不合格| F\n Q --> R\n R --> S\n S -->|合格| T\n S -->|不合格| N\n S -->|不合格| Q\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a4d75645f1c1ca05aef55874e2f9f6aa.png", "anno": "### 物流仓储流程图\n\n信息流\n物流\n资金流\n\n```mermaid\nflowchart TD\n A[\"货主(商品所有者)\"]\n B[\"供货商\"]\n C[\"提货商\"]\n subgraph id1 [\"物流仓储中心\"]\n D[\"订单处理\"]\n E[\"库存管理\"]\n F[\"进货管理\"]\n G[\"加工管理\"]\n H[\"出货管理\"]\n I[\"车辆管理\"]\n J[\"进货受理\"]\n K[\"进货检验\"]\n L[\"分货\"]\n M[\"入库\"]\n N[\"库存管理\"]\n O[\"库内加工\"]\n P[\"拣货\"]\n Q[\"流通加工\"]\n R[\"出货检验\"]\n S[\"出货确认\"]\n T[\"装箱\"]\n U[\"装车\"]\n V[\"配送\"]\n end\n\n A -..->|进出货指令| D\n A -.->|货款| B\n C -.->|订货| A\n A -.->|采购| B\n B --> J\n C -.->|货款| A\n C -->|回单| S\n D -.-> A\n D --> H\n D -->|收货计划| F\n D -->|配送计划| I\n E -->|发货计划| H\n F ==> K\n F-->E\n H-->I\n G ==> O\n H ==> P\n I ==> U\n J --> K\n K --> M\n K --> L\n L --> R\n M --> N\n N --> O\n O --> P\n P --> Q\n Q --> R\n R --> T\n T --> U\n U --> V\n V --> C\n\n linkStyle 0,2,3,6,7,8,9,10,11,13,14 stroke:#990099,stroke-width:4px,stroke-dasharray:5,2,5,2;\n linkStyle 1,5 stroke:#007722,stroke-width:2px,stroke-dasharray:2,5,2,5;\n linkStyle 4,18,19,20,21,22,23,24,25,26,27,28,29,30 stroke:#ff8800,stroke-width:4px;\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0f4362563172f155f226500b86280b86.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B[/\"输出你的性别和身高\"/]\n C{\"是男生？\"}\n D[/\"男生体重=身高-100\"/]\n E[/\"女生体重=身高-105\"/]\n F{\"体重>=体重+（体重*0.2）\"}\n G[/\"输出 你超重了\"/]\n H{\"体重<=体重+（体重*0.2）\"}\n I[/\"输出 您要增肥了\"/]\n J[/\"输出
没毛病\"/]\n K([\"结束\"])\n\n A --> B\n B --> C\n C -->|Y| D\n C -->|N| E\n D --> F\n E --> F\n F -->|Y| G\n F -->|N| H\n G --> K\n H -->|Y| I\n H -->|N| J\n I --> K\n J --> K\n```\n\n```mermaid\nflowchart TD\n A([\"开始\"])\n B[/\"输入身高\"/]\n C[/\"体重（kg）=身高（cm）-100\"/]\n D{\"体重>=体重+（体重*0.2）\"}\n E[/\"输出 您超重了\"/]\n F[/\"输出 您没有超重\"/]\n G([\"结束\"])\n\n A --> B\n B --> C\n C --> D\n D -->|Y| E\n D -->|N| F\n E --> G\n F --> G\n```\n\n```mermaid\nflowchart TD\n A([\"开始\"])\n B[/\"输入身高\"/]\n C[/\"体重（kg）=身高（cm）-100\"/]\n D{\"体重>=体重+（体重*0.2）\"}\n E[/\"输出 您超重了\"/]\n F{\"体重<=体重+（体重*0.2）\"}\n G[/\"输出 您要增肥了\"/]\n H[/\"输出 没毛病\"/]\n I([\"结束\"])\n\n A --> B\n B --> C\n C --> D\n D -->|Y| E\n D -->|N| F\n E --> I\n F -->|Y| G\n F -->|N| H\n G --> I\n H --> I\n```\n\n```mermaid\nflowchart TD\n A([\"开始\"])\n B[/\"输入身高\"/]\n C[/\"体重（kg）=身高（cm）-100\"/]\n D{\"体重>=体重+（体重*0.2）\"}\n E[/\"输出 您超重了\"/]\n F([\"结束\"])\n\n A --> B\n B --> C\n C --> D\n D -->|Y| E\n D -->|N| F\n E --> F\n```\n\n```mermaid\nflowchart TD\n A([\"开始\"])\n B[/\"输入身高
cm：\"/]\n C[/\"体重（kg）=身高（cm）-100\"/]\n D[/\"输出身高\"/]\n E([\"结束\"])\n\n A --> B\n B --> C\n C --> D\n D --> E\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/82c61fc9a814153f4d17c3ef7f01f6da.png", "anno": "```mermaid\nflowchart TD\n A[\"选择课程\"]\n B{\"选择\"}\n C[\"个人独立学习\"]\n D[\"小组协作学习\"]\n E[\"参与分组\"]\n F[\"熟读学习指南\"]\n subgraph idel[\" \"]\n G[\"学习相关知识\"]\n H[\"阅读精品资料\"]\n I[\"交流谈论\"]\n J[\"个人测试\"]\n K{\"撰写案例分析报告\"}\n L[\"提交案例分析报告\"]\n M[\"总结反思\"]\n N[\"复习相关知识\"]\n O[\"学习泛读案例\"]\n P[\"评价其他小组或个人分析报告\"]\n end\n Q[\"获取案例学习成绩\"]\n R[\"参加终结性考试, 结束课程学习\"]\n\n A --> B\n B --> C\n B --> D\n D --> E\n C --> F\n E --> F\n F --> G\n G --> H\n H --> I\n K --> J\n H --> K\n I --> M\n J --> M\n L --> M\n M --> N\n M --> O\n M --> P\n P --> Q\n Q --> R\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/44729aa97df95821b8d9d362d2a9be0b.png", "anno": "```mermaid\nflowchart TD\n A[\"提出需求\"]\n B[\"接受沟通\"]\n C[\"用户反馈\"]\n D[\"评审需求文档\"]\n E[\"评审产品原型\"]\n F[\"需求收集\"]\n G[\"沟通引导\"]\n H[\"整理需求\"]\n I@{ shape: doc, label: \"需求文档\"}\n J[\"需求评审\"]\n K{\"需求是否通过\"}\n L@{ shape: doc, label: \"设计产品原型\"}\n M[\"审阅产品原型\"]\n N{\"原型是否通过\"}\n O[\"交付产品原型\"]\n P[\"产品宣贯和评审\"]\n Q{\"评审是否通过\"}\n R[\"验证开发产品\"]\n S{\"是否符合预期\"}\n T[\"验证开发产品\"]\n U([\"上线验证收集反馈\"])\n V[\"评审需求文档\"]\n W[\"评审产品原型\"]\n X@{ shape: doc, label: \"产品原型和需求\"}\n Y[\"与核心开发商议\"]\n Z[\"参加产品宣贯会\"]\n AA[\"制定与安排开发\"]\n AB[\"设计评审(可邀请DBA、架构师参与)\"]\n AC[\"评审需求文档\"]\n AD[\"评审产品原型\"]\n AE@{ shape: doc, label: \"产品原型和需求\"}\n AF[\"与核心测试商议\"]\n AG[\"参加产品宣贯会\"]\n AH[\"制定与安排测试\"]\n AI[\"理解需求和原型\"]\n AJ[\"参加产品宣贯会\"]\n AK[\"执行设计\"]\n AL[\"设计评审\"]\n AM{\"评审是否通过\"}\n AN[\"执行开发\"]\n AO[\"提交测试\"]\n AP[\"修改BUG\"]\n AQ([\"上线\"])\n AR[\"理解需求和原型\"]\n AS[\"参加产品宣贯会\"]\n AT[\"编写测试用例\"]\n AU[\"测试条件验证\"]\n AV{\"满足测试条件\"}\n AW[\"执行测试\"]\n AX[\"测试报告\"]\n AY([\"线上测试\"])\n\n A --> F\n F --> G\n G --> B\n G --> H\n H --> I\n I --> J\n J --> D\n J --> V\n J --> K\n J --> AC\n K --> H\n K --> L\n L --> M\n M --> E\n M --> N\n M --> W\n M --> AD\n N --> L\n N --> O\n O --> P\n O --> X\n O --> AE\n P --> Q\n P --> Z\n P --> AG\n P --> AJ\n P --> AS\n Q --> O\n R --> S\n S --> AK\n U --> C\n X --> Y\n Y --> Z\n Y --> AI\n Z --> AA\n AA --> AK\n AE --> AF\n AF --> AG\n AF --> AR\n AR --> AS\n AS --> AT\n AG --> AH\n AH --> AT\n AI --> AJ\n AJ --> AK\n AK --> AL\n AL --> AB\n AL --> AM\n AM --> AK\n AM --> AN\n AN --> AO\n AO --> AU\n AU --> AV\n AV --> R\n AV --> AW\n AW --> AP\n AW --> AX\n AX -.-> T\n AX --> AQ\n AQ --> U\n AQ --> AY\n\n linkStyle 13,15,16,29 stroke:#00cc00\n linkStyle 23,24,25,26 stroke:#ff00ff\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/f92274805f58f5cf3fe02cf37fa303d2.png", "anno": "### 体育教学部校级体育比赛活动筹办流程图\n\n```mermaid\nflowchart TD\n A[\"制定活动计划
拟定竞賽規程\"]\n B[\"上报筹办方案及经费预算\"]\n C[\"器材设备补充划
奖品购置计划\"]\n D[\"主管教学副院长\"]\n E[\"负责采购部门\"]\n F[\"召开学院体育工作委员会会议\"]\n G[\"草拟举办活动通知稿\"]\n H[\"下发举办活动通知\"]\n I[\"各分院（部）、各处（室）\"]\n J[\"组织体检后参骞单位报名\"]\n K[\"比赛编排\"]\n L[\"下发各参赛单位\"]\n M{\"活动筹备\"}\n N[\"场地器材设备检查\"]\n O[\"召开领队会议\"]\n P[\"裁判员培训实习\"]\n Q((\"举办活动\"))\n R[\"活动总结\"]\n S[\"资料归档\"]\n\n A ==> B\n B ==> C\n B ==> D\n C ==> E\n D ==> E\n D ==> F\n D ==> G\n G ==> H\n H ==> I\n F ==>|整改意见| I\n J ==> K\n K ==> L\n K ==> M\n M ==>|问题反馈| F\n M ==> N\n M ==> O\n M ==> P\n O ==> Q\n Q ==> R\n R ==> S\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/5616984f017bf6a971f31a6916ef624d.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"点击同意服务条款\"]\n C{\"是否已同意服务条款\"}\n D[\"手机号一键登录\"]\n E[\"本机手机号码一键登录\"]\n F[\"输入手机号码登录\"]\n G{\"输入号码是否正确\"}\n H[\"输入验证码\"]\n I{\"验证码是否正确\"}\n J[\"登录成功\"]\n K[\"登录成功\"]\n L([\"结束\"])\n\n A --> B\n B --> C\n C -->|Y| D\n C -->|N| B\n D -->|Y| E\n D -->|Y| F\n E --> J\n F --> G\n G -->|N| F\n G -->|Y| H\n H -->|Y| I\n I -->|N| H\n I -->|Y| K\n J --> L\n K --> L\n```\n\n\n```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"点击同意服务条款\"]\n C{\"是否已同意服务条款\"}\n D[\"微信登陆\"]\n E[\"允许不背单词APP申请使用\"]\n F[\"拒绝不背单词APP申请使用\"]\n G[\"登录成功\"]\n H[\"登陆失败, 返回登录页面\"]\n I([\"结束\"])\n\n A --> B\n B --> C\n C -->|Y| D\n C -->|N| B\n D -->|Y| E\n D -->|Y| F\n E --> G\n F --> H\n G --> I\n H --> I\n```\n\n\n```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"点击同意服务条款\"]\n C{\"是否已同意服务条款\"}\n D[\"第三方登陆\"]\n E[\"密码登录\"]\n F[\"微博登录\"]\n G[\"QQ登录\"]\n H[\"输入昵称/邮箱/ID, 密码\"]\n I{\"用户名或密码是否正确\"}\n J[\"登录成功\"]\n K[\"确定登录\"]\n L[\"取消\"]\n M[\"登录成功\"]\n N[\"登录失败, 返回登录页面\"]\n O[\"同意登录\"]\n P[\"切换账号\"]\n Q[\"取消\"]\n R[\"登录成功\"]\n S[\"同意登录\"]\n T[\"登录成功\"]\n U[\"登录失败, 返回登录页面\"]\n V([\"结束\"])\n\n A --> B\n B --> C\n C -->|Y| D\n C -->|N| B\n D -->|Y| E\n D -->|Y| F\n D -->|Y| G\n E --> H\n H --> I\n I -->|N| H\n I -->|Y| J\n F --> K\n F --> L\n K --> M\n L --> N\n G --> O\n G --> P\n G --> Q\n O --> R\n P --> S\n Q --> U\n S --> T\n J --> V\n M --> V\n N --> V\n R --> V\n T --> V\n U --> V\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/2e8023e433d68df868c85b0c4560f957.png", "anno": "### 白酒生产工艺流程图\n\n```mermaid\nflowchart TD\n subgraph ide1 [ ]\n A[\"原料\"]\n B[\"粉碎\"]\n C[\"润料\"]\n D[\"配料\"]\n E@{shape: text, label: \"回收利用\"}\n F@{shape: text, label: \"废物\"}\n G@{shape: text, label: \"监控温度\"}\n H@{shape: text, label: \"检验\"}\n I@{shape: text, label: \"控制粉碎度\"}\n J@{shape: text, label: \"控制时间\"}\n K[\"稻壳\"]\n L[\"清蒸\"]\n M@{shape: text, label: \"蒸汽\"}\n N[\"酒醅\"]\n O[\"大渣\"]\n P[\"二渣\"]\n Q[\"回糟\"]\n R[\"蒸馏\"]\n S[\"酒（分段摘酒）\"]\n T@{shape: text, label: \"检验\"}\n U[\"入库\"]\n V[\"回活\"]\n W[\"糊化\"]\n X@{shape: text, label: \"蒸汽\"}\n Y[\"凉渣\"]\n Z@{shape: text, label: \"扔糟、冷却水\"}\n AA@{shape: text, label: \"回收利用\"}\n AB@{shape: text, label: \"软化水\"}\n AC@{shape: text, label: \"加曲、糖化酶、干酵母\"}\n AD@{shape: text, label: \"验证\"}\n AE@{shape: text, label: \"监控水分、温度、淀粉、酸度\"}\n AF[\"入窖发酵\"]\n AG[\"发酵管理\"]\n AH[\"出窖\"]\n end\n AI[\"检测品评\"]\n AJ[\"合并贮存\"]\n AK[\"勾兑混合\"]\n AL@{shape: text, label: \"加配料、软化水\"}\n AM[\"过滤\"]\n subgraph ide2 [ ]\n AN[\"贮存\"]\n AO@{shape: text, label: \"检验\"}\n AP[\"灌装\"]\n AQ[\"验质\"]\n AR@{shape: text, label: \"瓶盖\"}\n AS@{shape: text, label: \"检验\"}\n AT[\"压盖\"]\n AU[\"烘干\"]\n AV[\"酒瓶\"]\n AW[\"洗瓶\"]\n AX[\"冲瓶\"]\n AY@{shape: text, label: \"废水\"}\n AZ@{shape: text, label: \"次酒回收\"}\n BA[\"打印码\"]\n BB[\"贴标\"]\n BC[\"检验\"]\n BD[\"装封盒\"]\n BE[\"装封箱\"]\n BF[\"入库\"]\n BG@{shape: text, label: \"验证\"}\n BH@{shape: text, label: \"纸盒\"}\n BI@{shape: text, label: \"纸箱\"}\n BJ@{shape: text, label: \"检验\"}\n end\n\n A --> B\n B --> C\n B -.-> F\n C --> D\n D --> R\n F -.-> E\n G --> D\n H --> B\n H --> K\n I --> B\n J --> L\n K --> L\n L -.-> D\n M -.-> R\n N --> O\n N --> P\n N --> Q\n O --> D\n O --> R\n P --> D\n P --> R\n Q --> R\n R --> S\n R --> V\n R -.-> Z\n R --> W\n S --> U\n T --> U\n U --> AI\n V --> Y\n W -->|控制时间| Y\n X -.-> W\n Y --> AF\n Z -.-> AA\n AB -.-> AF\n AC -.-> AF\n AD -.-> AF\n AE --> AF\n AF --> AG\n AG --> AH\n AH --> N\n AI --> AJ\n AJ --> AK\n AL -.-> AK\n AK --> AM\n AM --> AN\n AN --> AP\n AO --> AP\n AP --> AQ\n AQ --> AT\n AQ --> AZ\n AR -.-> AT\n AS --> AT\n AT --> AU\n AU --> BA\n AV --> AW\n AW --> AX\n AX --> AY\n AX --> AP\n BA --> BB\n BB --> BC\n BC --> BD\n BD --> BE\n BE --> BF\n BG --> BH\n BG --> BI\n BH --> BD\n BI --> BE\n BJ --> BF\n\n style ide1 stroke-dasharray:5 5\n style ide2 stroke-dasharray:5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/6bfbd612cbcb60b37a965c113a40effa.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"审批及付款流程\"]\n C@{ shape: subproc, label: \"1、检查余额，提交内部付款申请\" }\n D@{ shape: subproc, label: \"2、审核是否合理\" }\n E{\"是/否\"}\n F@{ shape: subproc, label: \"3、上报内部付款申请\" }\n G@{ shape: subproc, label: \"4、检查A公司内部存款余额是否充足\" }\n H{\"是/否\"}\n I@{ shape: subproc, label: \"5、划转A公司资金到B公司账户\" }\n J@{ shape: subproc, label: \"6、划转A公司资金到B公司账户\" }\n K@{ shape: subproc, label: \"7、收到账务处理通知单\" }\n L@{ shape: subproc, label: \"8、账务处理\" }\n M@{ shape: subproc, label: \"7、收到账务处理通知单\" }\n N[\"审批及付款流程\"]\n O([\"完成\"]) \n\n A --> B\n B --> C\n C --> D\n D --> E\n E -->|否| C\n E -->|是| F\n F --> G\n G --> H\n H -->|是| I\n H -->|否| F\n I --> J\n J --> K\n K --> L\n J --> M\n M --> N\n L --> O\n N --> O\n\n linkStyle 4,9 stroke:red\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/38f375dba5e3e53e1a09ff1a4e6b0086.png", "anno": "```mermaid\nflowchart TD\n A[\"美团外卖流程图\"]\n B[\"进入首页面\"]\n C[\"登录账号\"]\n D[\"选择地区\"]\n E[\"选择商品\"]\n F(\"选择店铺\")\n G[\"店铺中选择菜品\"]\n H[\"确定订单\"]\n I[\"10分钟内支付\"]\n J[\"10分钟后支付\"]\n K[\"进入支付详情页面\"]\n L[\"订单超时-购买失败\"]\n M[\"打折+非打折\"]\n N[\"打折菜品\"]\n O[\"非打折菜品\"]\n P[\"可以使用满减优惠和优惠券\"]\n Q(\"进入支付页面\")\n R@{shape: text, label: \"微信\"}\n S@{shape: text, label: \"支付宝\"}\n T@{shape: text, label: \"花呗\"}\n U(\"输入密码\")\n V[\"密码正确\"]\n W[\"密码错误\"]\n X[\"超过3次\"]\n Y[\"交易完成\"]\n Z[\"提示重新输入\"]\n AA[\"准时宝\"]\n AB[\"提示找回密码按钮\"]\n AC[\"有准时宝\"]\n AD[\"没有准时宝\"]\n AE[\"进入找回密码页面\"]\n AF[\"超过规定时间送餐\"]\n AG[\"未超过规定时间送餐\"]\n AH[\"修改密码\"]\n AI[\"赔付超时金额\"]\n AJ[\"不赔付超时金额\"]\n AK(\"收货\")\n AL@{shape: text, label: \"评价\"}\n AM@{shape: text, label: \"退餐\"}\n\n A ---B\n B --- C\n C --- D\n D --- E\n E --- F\n F --- G\n G --- H\n H --- I\n H --- J\n I --- K\n J --- L\n L -.->G\n K --- M\n K --- N\n K --- O\n O --- P\n P --- Q\n Q---R\n Q---S\n Q---T\n R---U\n S---U\n T---U \n U --- V\n U --- W\n W---X\n V --- Y\n Y --- AA\n W --- Z\n X --- AB\n Z -.-> U\n AA --- AC\n AA --- AD\n AB --- AE\n AE --- AH\n AH-.->U\n AC --- AF\n AC --- AG\n AD -.-> AK\n AF --- AI\n AG --- AJ\n AI --- AK\n AJ --- AK\n AK --- AL\n AK --- AM\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/82f11888e0cef72f494b383ad4fb8bea.png", "anno": "```mermaid\nflowchart TD\n A(\"研究框架\")\n B[\"提出问题\"]\n C[\"分析问题\"]\n D[\"解决问题\"]\n E[\"影响机理研究\"]\n F[\"产业链重构路径\"]\n G[\"政策建议\"]\n H(\"研究内容\")\n subgraph ide1 [\" \"]\n I(\"全球创新趋势、创新力测度与国际比较研究\")\n subgraph ide2 [\" \"]\n J(\"创新趋势\")\n K(\"前沿学科\")\n L(\"专利分布\")\n M(\"人员交流\")\n N(\"产业应用\")\n end\n subgraph ide3 [\" \"]\n O(\"创新力测度\")\n P(\"“科学-技术-产业”
横向价值链横向\")\n Q(\"“实力-效力”
纵向价值链\")\n end\n subgraph ide4 [\" \"]\n R(\"国际比较\")\n S(\"地位指数\")\n T(\"参与度指数\")\n U(\"竞争优势与劣势\")\n end\n end\n subgraph ide5 [\" \"]\n V(\"全球创新产业链的识别、解构与风险防范研究\")\n subgraph ide6 [\" \"]\n W(\"产业链识别与解构\")\n X(\"产业链关节环节\")\n Y(\"产业网络结构\")\n Z(\"产业关联特征\")\n AA(\"产业链波及影响\")\n AB(\"产业链结构特征\")\n AC(\"为产业链重构提供现实依据\")\n end\n subgraph ide7 [\" \"]\n AD(\"产业链断链风险防范与化解\")\n AE(\"上游原料寡头垄断\")\n AF(\"加工工艺不先进\")\n AG(\"设计软件对外依赖度高\")\n AH(\"加工设备自给率低\")\n AI(\"上下游供需不匹配\")\n AJ(\"构建风险监测预警体系\")\n AK(\"提出产业链重构最优路径\")\n end\n end\n subgraph ide8 [\" \"]\n AL(\"全球创新产业链重构路径及影响机理研究\")\n subgraph ide9 [\" \"]\n AM(\"市场需求\")\n AN(\"产业链依存度\")\n AO(\"技术创新\")\n AP(\"国家政策\")\n AQ(\"国际竞争与制裁\")\n AR(\"影响因素\")\n AS(\"价值链+供需链+空间链\")\n AT(\"影响机理\")\n AU(\"产业链重构影响机理\")\n AV(\"分工边界拓展\")\n AW(\"研发与交易成本变化\")\n AX(\"价值分配转移\")\n AY(\"供求关系变化\")\n end\n subgraph ide10 [\" \"]\n subgraph ide11 [\" \"]\n AZ(\"产业链重构三要素\")\n BA(\"价值重构\")\n BB(\"组织重构\")\n BC(\"空间重构\")\n end\n subgraph ide12 [\" \"]\n BD(\"半导体产业链重构模式与路径\")\n BE(\"全球产业链价值链联动\")\n BF(\"产业链升级\")\n BG(\"全球产业链生态系统\")\n BH(\"产业链横纵向拓展\")\n BI(\"国产化替代\")\n BJ(\"区域价值链合作\")\n end\n end\n end\n subgraph ide13 [\" \"]\n BK(\"我国创新产业政策优化与评价研究\")\n BL(\"产业政策发展历程及成效\")\n BM(\"产业政策评价体系\")\n BN(\"产业政策优化\")\n end\n BO(\"研究方法\")\n BP[\"知识图谱
专利计量
技术预见
区块聚类
多维创新指数\"]\n BQ[\"复杂网络模型
层级分析法
ABM模型
压力测试
Agent仿真模拟\"]\n BR[\"多元Logi
Probit
Tobit等模型
DSGE模型
中心外围模型
案例分析\"]\n BS[\"SCP模型
SWOT分析
SPACE矩阵
PMC指数模型\"]\n \n A ==> B\n B ==> C\n C ==> D\n D ==> E\n E ==> F\n F ==> G\n H ~~~ ide1\n J ~~~ K\n K ~~~ L\n L ~~~ M\n M ~~~ N\n O ~~~ P\n P ~~~ Q\n R ~~~ S\n S ~~~ T\n T ~~~ U\n ide1 ~~~ ide5\n ide2 ==> ide3\n ide3 ==> ide4\n X --> AB\n Y --> AB\n Z --> AB\n AA --> AB\n AB --> AC\n AE --> AJ\n AF --> AJ\n AG --> AJ\n AH --> AJ\n AI --> AJ\n AJ --> AK\n ide5 ~~~ ide8\n AM --> AR\n AN --> AR\n AO --> AR\n AP --> AR\n AQ --> AR\n AR --> AS\n AS --> AU\n AV --> AT\n AW --> AT\n AX --> AT\n AY --> AT\n AT --> AS\n ide9 --> ide10\n ide11 ==> ide12\n ide8 ~~~ ide13\n AZ ~~~ BA\n BA ~~~ BB\n BB ~~~ BC\n BD ~~~ BE\n BD ~~~ BF\n BE ~~~ BF\n BE ~~~ BG\n BG ~~~ BH\n BG ~~~ BI\n BF ~~~ BH\n BH ~~~ BJ\n BI ~~~ BJ\n BL ==> BM\n BM ==> BN\n BO ==> BP\n BP ==> BQ\n BQ ==> BR\n BR ==> BS\n \n style ide1 stroke-dasharray: 5 5\n style ide2 stroke-dasharray:5 5,stroke-linejoin:round,rx:15,ry:15\n style ide3 stroke-dasharray:5 5,stroke-linejoin:round,rx:15,ry:15\n style ide4 stroke-dasharray:5 5,stroke-linejoin:round,rx:15,ry:15\n style ide5 stroke-dasharray: 5 5\n style ide6 stroke-dasharray:5 5,stroke-linejoin:round,rx:15,ry:15\n style ide7 stroke-dasharray:5 5,stroke-linejoin:round,rx:15,ry:15\n style ide8 stroke-dasharray: 5 5\n style ide9 stroke-dasharray:5 5,stroke-linejoin:round,rx:15,ry:15\n style ide10 stroke-dasharray:5 5,stroke-linejoin:round,rx:15,ry:15\n style ide11 stroke-dasharray:5 5,stroke-linejoin:round,rx:15,ry:15\n style ide12 stroke-dasharray:5 5,stroke-linejoin:round,rx:15,ry:15\n style ide13 stroke-dasharray: 5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/ee96bbf7c3e98c9a969930e9f8127676.png", "anno": "### （2）办税员领取、缴销发票工作流程\n\n```mermaid\nflowchart TD\n A[\"到国家税务局索取发票领用表\"]\n B[\"填写申请内容\"]\n C[\"持相关资料往发票科领取发票\"]\n D[\"因某种原因停票,索取暂停供应发票通知单\"]\n E[\"往所属核税科核税员处登记\"]\n F[\"填写发票检查报告\"]\n G[\"核税员出发票检查报告意见\"]\n H[\"核税科科长意见\"]\n I[\"税务局局长意见\"]\n J[\"电脑科解锁\"]\n K[\"领票窗口领票\"]\n L@{shape: text, label: \"以下程序同正常情况\"}\n M[\"发票科领购窗口领票\"]\n N[\"领购电脑发票\"]\n O[\"领购手工发票\"]\n P[\"电脑科将相关资料输入IC卡\"]\n Q[\"使用完后缴销\"]\n R[\"加盖税务登记号地址电话条形章\"]\n S[\"60天内缴销\"]\n\n A --> B\n B --> C\n C -->|非正常情况| D\n C -->|正常情况| M\n D --> E\n E --> F\n F --> G\n G --> H\n H --> I\n I --> J\n J --> K\n K --> L\n M --> N\n M --> O\n N --> P\n P --> Q\n O --> R\n R --> S\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/8e2e7b9fa12f923cfa8dbb190e747fcf.png", "anno": "```mermaid\nflowchart TD\n A(\"客户\")\n B(\"业务员\")\n C[\"价格接受, 提供发运资料\"]\n D[\"报关资料\"]\n E[\"船公司订舱获取订单号\"]\n F[\"提备件木箱;组织人员提车(国贸)\"]\n G[/\"报关行\"/]\n H[\"海关查验集装箱\"]\n I[\"报放单\"]\n J[\"报关资料核对\"]\n K[\"订舱确认出具盖章保函\"]\n L(\"业务员\")\n M{核对费用, 同客户公司结账}\n N[\"包含盖章, 单据核对, 报关资料核对\"]\n O[\"报放单\"]\n P(\"客户\")\n Q[\"保函盖章截单件重尺下货纸\"]\n R[\"船公司\"]\n S[\"正本提单或电放保函\"]\n T[\"港口\"]\n U[\"装柜\"]\n V[\"发运\"]\n\n A -->|询价| B\n B -->|报价| A\n A --> C\n C --> B\n B --> D\n B --> E\n B --> F\n D --> G\n E --> G\n E --> K\n F --> U\n D --> H\n D --> K\n G --> J\n J --> G\n H --> I\n I --> L\n K --> L\n L --> M\n L --> N\n N --> L\n L --> O\n N --> P\n P --> N\n L --> Q\n Q --> R\n R --> S\n R --> T\n S --> L\n O --> P\n U --> T\n T --> V\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/e6b8197f96eece6266c0ef6b65d434c8.png", "anno": "### 客服售前操作流程\n\n```mermaid\nflowchart TD\n A(\"售前操作流程\")\n B(\"未下单前咨询\")\n C(\"下单后咨询\")\n D(\"静默催付款\")\n E(\"以上三种情况 都需要简单、亲切、影响深刻的问候语(前二种最好使用干牛自动回复) 后者使用快捷短语\")\n F(\"店铺活动介绍\")\n G(\"催付快捷短语(亲切、简单、订单时间关闭时间、及间付款的好处、及买家还有什么顾虑) 催付不要超过2次\")\n H(\"正面、耐心、仔细、及时的回复买家提出的所有问题(必须20秒内回复) 不清楚的问题一定要问 不能随意回复或不确定的回复 聊天过程中少用否定词 多用亲切语气气 (期间可推荐其它宝贝)\")\n I(\"如买家旺旺回复\")\n J(\"提醒付款发货时间及快递时效、合作快递\")\n K(\"买家如有特殊要求 咱们能满足的 尽量满足并备注跟踪好\")\n L(\"买家需修改地址 正确的地址必须按正确的格式备注 如已经出单的订单需按要求操作拦截修改\")\n M(\"核对收件信息\")\n N(\"完美的结束祝福语(整个沟通过程下来保证最后一条聊天记录是咱们客服的)\")\n\n A --> B\n A --> C\n A --> D\n B --> E\n C --> E\n D --> E\n E --> F\n E --> G\n E --> H\n F --> H\n G --> I\n H --> J\n H --> K\n H --> L\n I --> H\n J --> K\n J --> M\n K --> M\n L --> N\n M --> L\n M --> N\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/6b88ac478b47beeb69b272d24c139d89.png", "anno": "```mermaid\nflowchart TD\n A(\"禄劝县乌东德水电站库区移民后期可持续生计研究\")\n B(\"研究设计\")\n C(\"查阅国内外文献研究情况, 搜集相关资料\")\n D(\"核心概念支持和重点理论基础研究\")\n E(\"核心概念\")\n F(\"重要理论\")\n G@{shape: text, label: \"库区移民\"}\n H@{shape: text, label: \"生计\"}\n I@{shape: text, label: \"可持续生计理论及框架\"}\n J@{shape: text, label: \"新公共服务理论\"}\n K@{shape: text, label: \"人口迁移理论\"}\n subgraph ide1[\" \"]\n L(\"研究方法\")\n M(\"文献研究法\")\n N(\"问卷调查法\")\n O(\"实地访谈法\")\n P(\"案例分析法\")\n end\n Q(\"研究实施\")\n R(\"实地调研\")\n S(\"获取政府公开信息, 到负责库区移民的政府部门进行调研\")\n T(\"到禄劝县乌东德镇新村安置点进行实地调研\")\n U@{shape: text, label: \"对搬迁户进行问卷调查\"}\n V@{shape: text, label: \"访谈移民搬迁户\"}\n W@{shape: text, label: \"访谈政策执行人员\"}\n X(\"数据收集分析\")\n Y(\"对获取的调查数据、问卷调查和访谈的结果进行归纳整理\")\n Z(\"运用可持续生计分析框架, 分析移民搬迁前后生活水平情况的差异\")\n AA(\"研究分析\")\n AB(\"根据调研结果, 查找禄劝县乌东德水电站库区移民可持续生计中存在的问题\")\n AC(\"剖析存在的问题的成因, 并进行反思\")\n AD(\"提出优化禄劝县乌东德库区移民可持续生计的对策\")\n AE(\"得出结论, 撰写论文\")\n\n A ==> C\n A ==> C\n B --> C\n B --> D\n B --> Q\n B --> ide1\n D --- E\n D --- F\n E --> G\n E --> H\n F --> I\n F --> J\n F --> K\n L --> M\n L --> N\n L --> O\n L --> P\n Q --> R\n Q --> X\n Q --> AA\n R --- S\n R --- T\n T --> U\n T --> V\n T --> W\n X <==> Y\n Y <==> Z\n AA --> AB\n AA --> AC\n AA --> AD\n AA --> AE\n AD ==> AE\n\n style ide1 stroke:#666,stroke-width:2px,stroke-dasharray:5 5\n style Z stroke:#666,stroke-width:2px,stroke-dasharray:5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b4dd26b66e235a1a544ff0a86a720295.png", "anno": "```mermaid\nflowchart TD\n A((\"开始\"))\n B[\"入库管理\"]\n C[\"产成品\"]\n D[\"供应商送货\"]\n E[\"入库检验\"]\n F{\"审核\"}\n G[\"配合\"]\n H{\"合格\"}\n I[\"退货\"]\n J[\"入库\"]\n K[\"仓库 5S 管理\"]\n L[\"定期盘存\"]\n M[\"存量控制\"]\n N[\"发料管理\"]\n O[\"物料领取\"]\n P[\"库存记帐\"]\n Q{\"审核\"}\n R((\"结束\"))\n\n A --> B\n C --> B\n D --> B\n B --> E\n G --> E\n E --> F\n E --> H\n F --> H\n H -->|否| I\n H --> J\n J --> K\n K --> L\n L --> M\n M --> N\n N --> O\n N --> P\n P --> Q\n Q --> R\n P --> R\n M <--> D\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b01b6cf967f6954932a07a99ad45dc23.png", "anno": "```mermaid\nflowchart TD\n A@{shape: text, label: \"综述\"}\n B@{shape: text, label: \"公共艺术接受理论认知及模型构建\"}\n C@{shape: text, label: \"模型评价分析\"}\n D@{shape: text, label: \"策略应用\"}\n E@{shape: text, label: \"结论、创新与展望\"}\n subgraph ide1 [\" \"]\n F[\"绪论\"]\n end\n subgraph ide2 [\" \"]\n G[\"理论基础\"]\n H[\"接受美学\"]\n I[\"知觉现象学\"]\n J[\"景观美学\"]\n K[\"环境行为学\"]\n L[\"公共艺术接受影响机制模型构建\"]\n M[\"公共艺术接受效应\"]\n N[\"公共艺术景观环境特征\"]\n O[\"公众行为模式\"]\n end\n subgraph ide3 [\" \"]\n P[\"分析实证\"]\n Q[\"公共艺术接受效应评价分析\"]\n R[\"评价指标体系构建\"]\n S[\"接受效应评价分析\"]\n T[\"公共艺术景观环境特征因子提取与评价分析\"]\n U[\"景观环境因子提取\"]\n V[\"景观环境量化分析\"]\n W[\"影响机制模型路径及中介效应评价分析\"]\n X[\"中介效应检验分析\"]\n Y[\"影响路径评价分析\"]\n end\n subgraph ide4 [\" \"]\n Z[\"策略应用\"]\n AA[\"公共艺术CMP景观设计策略\"]\n AB[\"景观设计原则\"]\n AC[\"景观设计策略\"]\n AD[\"景观设计模式\"]\n AE[\"案例实证研究\"]\n end\n subgraph ide5 [\" \"]\n AF[\"结论\"]\n AG[\"主要研究结论\"]\n AH[\"主要创新点\"]\n AI[\"研究展望\"]\n end\n\n A -.-> ide1\n B -.-> ide2\n C -.-> ide3\n D -.-> ide4\n E -.-> ide5\n F --> G\n G --> H\n G --> I\n G --> J\n G --> K\n H --> L\n I ~~~ L\n J ~~~ L\n K --> L\n L --> M\n L --> N\n M --- O\n L --> O\n ide2 --> ide3\n P --> Q\n P ~~~ T\n P --> W\n Q --> R\n Q --> S\n T --> U\n T --> V\n W --> X\n W --> Y\n Q --- W\n ide3 --> ide4\n Z --> AA\n AA --> AB\n AA ~~~ AC\n AA --> AD\n AB --> AE\n AC ~~~ AE\n AD --> AE\n ide4 --> ide5\n AF --> AG\n AF ~~~ AH\n AF --> AI\n\n style ide1 fill:color:#000,stroke-dasharray: 5\n style ide2 fill:color:#000,stroke-dasharray: 5\n style ide3 fill:color:#000,stroke-dasharray: 5\n style ide4 fill:color:#000,stroke-dasharray: 5\n style ide5 fill:color:#000,stroke-dasharray: 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/dd40e61f4b8293523cd17b29ab96e17a.png", "anno": "### 财务处报账流程图\n\n```mermaid\nflowchart TD\n A(\"经办人持经相关负责人审批的原始单据到财务处\")\n B{\"报销金额是否超过3万元\"}\n C[\"填制大额资金审批单（财务处网站”资源下载”）\"]\n D[\"907室财务处处长审核签字\"]\n E{\"是否是公务卡业务\"}\n F[\"到105室2号窗口查询、签章\"]\n G{\"是否需要入固定资产、低值易耗\"}\n H[\"见固定资产、低值易耗品流程图\"]\n I(\"根据经费本及业务性质\")\n J[\"104室核算科\"]\n K[\"103室基建财务科\"]\n L[\"104室后勤财务科\"]\n M[\"教学部门会计\"]\n N[\"行政部门会计\"]\n O[\"科研会计（含医疗费）\"]\n P[\"学科等综合会计（含图书馆、学生社区）\"]\n Q[\"零星修缮报销\"]\n R[\"基建部门经费基建工程报销\"]\n S[\"工会、基金会党费经费报销\"]\n T[\"后勤处\"]\n U[\"幼儿园\"]\n V[\"校医院\"]\n W[\"翕苑餐厅\"]\n X[\"生活服务中心\"]\n Y[\"校园管理中心\"]\n Z[\"水电暖运行中心\"]\n AA[\"会计审核原始单据无误，制单，签章，登记经费本，核对余额\"]\n AB[\"业务报销流程见后勤零星修缮\"]\n AC[\"报销流程见基建财务\"]\n AD[\"党费经费流程见工会、基金会\"]\n AE[\"104室6号窗口\"]\n AF[\"104室7号窗口\"]\n AG[\"会计审核原始单据无误，制单，签章，登记经费本，核对余额\"]\n AH[\"报账人在记账凭证经办人处签字;在结算单领交款处签字\"]\n AI[\"科长复核、签章（107室7号窗口制单到6号复核：其余窗口到1号复核）\"]\n AJ[\"报账人持结算单到105室资金结算科\"]\n AK[\"105室2号窗口公务卡业务\"]\n AL[\"105室3号窗口银行存款业务\"]\n AM[\"105室4号窗口现金业务\"]\n AN(\"结束\")\n\n A -->|①| B\n B -->|②
是| C\n B -->|否| E\n C --> D\n D --> E\n E -->|③
是| F\n E -->|否| G\n F --> G\n G -->|是| H\n G -->|④
否| I\n I --> J\n I --> K\n I --> L\n J --> M\n J --> N\n J --> O\n J --> P\n K --> Q\n K --> R\n K --> S\n L --> T\n L --> U\n L --> V\n L --> W\n L --> X\n L --> Y\n L --> Z\n M -->|⑤| AA\n N -->|⑤| AA\n O -->|⑤| AA\n P -->|⑤| AA\n Q --> AB\n R --> AC\n S --> AD\n T --> AE\n U --> AE\n V --> AE\n W --> AF\n X --> AF\n Y --> AF\n Z --> AF\n AA -->|⑥| AH\n AE -->|⑤| AG\n AF -->|⑤| AG\n AG -->|⑥| AH\n AH -->|⑦| AI\n AI -->|⑧| AJ\n AJ -->|⑨| AK\n AJ -->|⑨| AL\n AJ -->|⑨| AM\n AK --> AN\n AL --> AN\n AM --> AN\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/7d7fa942b189fc5dc815357aab60eede.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B{\"产品or项目\"}\n C[\"市场调研\"]\n D@{shape: doc, label: \"行业竞品分析
商业模式/卖点分析\"}\n E[\"产品技术可行性讨论\"]\n F[\"产品立项\"]\n G[\"选定产品负责人\"]\n H[\"组建产品团队\"]\n I[\"项目/产品启动会\"]\n J([\"结束\"])\n K[\"前期沟通\"]\n L@{shape: doc, label: \"商务标\"}\n M@{shape: doc, label: \"技术标\"}\n N[\"招投标\"]\n O@{shape: doc, label: \"项目经理竞聘表\"}\n P[\"选定项目经理\"]\n Q@{shape: doc, label: \"项目计划成本估算\"}\n R[\"组建项目团队\"]\n S([\"开始\"])\n T[\"开展需求调研工作\"]\n U[\"编写需求分析报告\"]\n V@{shape: doc, label: \"需求分析报告初稿系统原型\"}\n W[\"制作系统原型\"]\n X{\"需求内部评审\"}\n Y{\"总经理评审\"}\n Z[\"需求初定\"]\n AA[\"系统功能分解\"]\n AB@{shape: doc, label: \"系统功能架构图
业务流程图\"}\n AC[\"业务流程梳理\"]\n AD{\"甲方需求评审\"}\n AE[\"需求定稿\"]\n AF@{shape: doc, label: \"需求确认说明书\"}\n AG[\"数据库设计\"]\n AH@{shape: doc, label: \"数据库设计报告\"}\n AI@{shape: doc, label: \"接口设计报告\"}\n AJ[\"接口设计\"]\n AK[\"系统开发框架选择\"]\n AL[\"技术定稿\"]\n AM[\"UI设计系统页面\"]\n AN{\"页面内部评审\"}\n AO[\"设计定稿\"]\n AP@{shape: doc, label: \"系统设计报告\"}\n AQ{\"甲方设计评审\"}\n AR([\"结束\"])\n AS[\"产品经理全程参与此阶段并与项目经理共同把关\"]\n\n A --> B\n B -->|产品| C\n C ~~~ D\n C --> E\n E --> F\n F --> G\n G --> H\n H --> I\n I --> J\n B -->|项目| K\n K --> N\n N ~~~ L\n N ~~~ M\n N -->|中标后| P\n F -.- O\n O -.-> P\n P --> R\n G -.- Q\n R --> I\n S --> T\n T --> U\n U ~~~ V\n T --> W\n U --> X\n W --> X\n N -->|主要参考依据| X\n X -->|通过| Y\n Y --> Z\n Z --> AA\n AA ~~~ AB\n Z --> AC\n AA --> AD\n AC --> AD\n AD -->|不通过| T\n Y -->|不通过| T\n X -->|不通过| T\n AD --> AE\n AE --- AF\n AF -->|根据定稿需求调整时间计划| Q\n AE --> AG\n AG ~~~ AH\n AG ~~~ AI\n AE --> AJ\n AE --> AK\n AG --> AL\n AJ --> AL\n AK --> AL\n AL --> AM\n AM --> AN\n AN --> AO\n AO ~~~ AP\n AO --> AQ\n AN -->|不通过| AM\n AQ -->|不通过| AM\n AQ --> AR\n S -.- AS\n AS -.- AR\n\n style A fill:#fdfaf0,stroke:#333\n style B fill:#ffffff,stroke:#333\n style C fill:#c8e6c9,stroke:#333\n style D fill:#ce93d8,stroke:#333\n style E fill:#fcd0a1,stroke:#333\n style F fill:#e53935,stroke:#333,color:#000000\n style G fill:#e53935,stroke:#333,color:#000000\n style H fill:#fcd0a1,stroke:#333\n style I fill:#ffeb3b,stroke:#d32f2f,stroke-width:2px\n style J fill:#fdfaf0,stroke:#333\n style K fill:#c8e6c9,stroke:#333\n style L fill:#c8e6c9,stroke:#333\n style M fill:#fcd0a1,stroke:#333\n style N fill:#c8e6c9,stroke:#333\n style O fill:#ffeb3b,stroke:#333\n style P fill:#e53935,stroke:#333,color:#000000\n style Q fill:#ffeb3b,stroke:#333\n style R fill:#fcd0a1,stroke:#333\n style S fill:#fdfaf0,stroke:#333\n style T fill:#ffeb3b,stroke:#333\n style U fill:#ffeb3b,stroke:#333\n style V fill:#ffeb3b,stroke:#333\n style W fill:#ffeb3b,stroke:#333,stroke-dasharray: 4 4\n style X fill:#fcd0a1,stroke:#d95f02\n style Y fill:#d32f2f,stroke:#d32f2f,stroke-width:2px,stroke-dasharray: 5 5,color:#000000\n style Z fill:#ffeb3b,stroke:#333\n style AA fill:#ffeb3b,stroke:#333\n style AB fill:#ffeb3b,stroke:#333\n style AC fill:#ffeb3b,stroke:#333\n style AD fill:#ffeb3b,stroke:#333\n style AE fill:#ffeb3b,stroke:#d32f2f,stroke-width:2px\n style AF fill:#ffeb3b,stroke:#333\n style AG fill:#ffeb3b,stroke:#333\n style AH fill:#ffeb3b,stroke:#333\n style AI fill:#ffeb3b,stroke:#333\n style AJ fill:#ffeb3b,stroke:#333\n style AK fill:#fcd0a1,stroke:#333\n style AL fill:#fcd0a1,stroke:#d32f2f,stroke-width:2px\n style AM fill:#00ff00,stroke:#333,stroke-dasharray: 4 4\n style AN fill:#fcd0a1,stroke:#d95f02\n style AO fill:#ffeb3b,stroke:#d32f2f,stroke-width:2px\n style AP fill:#ffeb3b,stroke:#333\n style AQ fill:#ffeb3b,stroke:#333,stroke-dasharray: 4 4\n style AR fill:#fdfaf0,stroke:#333\n style AS fill:#ce93d8,stroke:#6a1b9a,stroke-width:2px,stroke-dasharray: 5 5\n```\n\n\n```mermaid\nflowchart TD\n A([\"开始\"])\n subgraph id1 [ ]\n B@{shape: doc, label: \"项目计划\"}\n C@{shape: doc, label: \"数据库表结构\"}\n D@{shape: doc, label: \"功能架构图\"}\n E@{shape: doc, label: \"UI设计\"}\n F@{shape: doc, label: \"需求分析报告\"}\n G@{shape: doc, label: \"系统设计报告\"}\n H@{shape: doc, label: \"接口设计图\"}\n end\n I[\"分配功能模块到人\"]\n J[\"确定各功能模块完成时间\"]\n K@{shape: doc, label: \"功能模块完成时间计划表\"}\n L[\"模块1
模块2
模块3
模块4</br>
...\"]\n M[\"分模块开发\"]\n N[\"功能模块单元测试\"]\n O{\"审查各模块完成情况\"}\n P{\"审查项目整体进度\"}\n Q[\"系统集成\"]\n R[\"集成测试\"]\n S[\"开发完成\"]\n T@{shape: doc, label: \"源代码\"}\n U{\"总经理评审\"}\n V([\"结束\"])\n W([\"开始\"])\n X[\"编写测试用例\"]\n Y@{shape: doc, label: \"测试用例\"}\n Z[\"制定测试计划\"]\n AA@{shape: doc, label: \"测试计划\"}\n AB{\"运维组测试系统功能\"}\n AC[\"反馈给项目经理\"]\n AD[\"开发人员修改问题\"]\n AE[\"开发人员复测功能\"]\n AF[\"测试完成\"]\n AG[\"编写测试报告\"]\n AH@{shape: doc, label: \"测试报告\"}\n AI([\"结束\"])\n\n A --> I\n id1 -->|参考依据| I\n I --> J\n J ~~~ K\n J --> L\n L --> M\n M --> N\n N --> O\n O -->|质量/进度不合格| M\n O --> P\n P -->|进度落后项目，重新调整《功能模块完成时间计划表》，项目组成员加班追赶进度| J\n P --> Q\n Q --> R\n R --> S\n S ~~~ T\n S --> U\n U -->|通过| V\n U -->|评审不通过，系统功能修改| M\n W --> X\n X ~~~ Y\n X --> Z\n Z ~~~ AA\n Z --> AB\n O -->|大型项目可分模块交由运维组测试| AB\n O -->|bug| AC\n AC --> AD\n AD --> AE\n AE --> AB\n AB -->|测试通过| AF\n AF --> AG\n AG ~~~ AH\n AG --> AI\n \n style A fill:#fdfaf0,stroke:#333\n style B fill:#fff,stroke:#333\n style C fill:#fff,stroke:#333\n style D fill:#fff,stroke:#333\n style E fill:#fff,stroke:#333,stroke-dasharray: 4 4\n style F fill:#fff,stroke:#333\n style G fill:#fff,stroke:#333\n style H fill:#fff,stroke:#333\n style I fill:#ffeb3b,stroke:#333\n style J fill:#ffeb3b,stroke:#333\n style K fill:#ffeb3b,stroke:#333\n style L fill:#fff,stroke:#333\n style M fill:#00ff00,stroke:#333\n style N fill:#00ff00,stroke:#333\n style O fill:#ffeb3b,stroke:#333\n style P fill:#fcd0a1,stroke:#d95f02\n style Q fill:#ffeb3b,stroke:#333\n style R fill:#ffeb3b,stroke:#333\n style S fill:#ffeb3b,stroke:#32f2f,stroke-width:2px\n style T fill:#ffeb3b,stroke:#333\n style U fill:#d32f2f,stroke:#d32f2f,stroke-dasharray: 5 5,color:#000000\n style V fill:#fdfaf0,stroke:#333\n style W fill:#fdfaf0,stroke:#333\n style X fill:#ffeb3b,stroke:#333\n style Y fill:#ffeb3b,stroke:#333\n style Z fill:#6baed6,stroke:#333\n style AA fill:#6baed6,stroke:#333\n style AB fill:#6baed6,stroke:#333\n style AC fill:#ffeb3b,stroke:#333\n style AD fill:#00ff00,stroke:#333\n style AE fill:#00ff00,stroke:#333\n style AF fill:#6baed6,stroke:#d32f2f,stroke-width:2px\n style AG fill:#6baed6,stroke:#333\n style AH fill:#6baed6,stroke:#333\n style AI fill:#fdfaf0,stroke:#333\n style id1 fill:#fdfaf0,stroke:#333\n```\n\n\n```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"系统硬件环境部署\"]\n C[\"系统软件环境部署\"]\n D[\"系统正式环境测试\"]\n E[\"系统试运行\"]\n F[\"系统培训\"]\n G@{shape: doc, label: \"培训资料\"}\n subgraph id1 [ ]\n H[\"验收材料准备\"]\n I[\"项目验收\"]\n end\n J@{shape: doc, label: \"验收报告\"}\n K[\"市场部协助\"]\n L[\"项目总结\"]\n M([\"项目结束\"])\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F ~~~ G\n F --> H\n H --> I\n I ~~~ J\n id1 --- K\n I --> L\n L --> M\n\n style A fill:#fdfaf0,stroke:#333\n style B fill:#6baed6,stroke:#333\n style C fill:#ffeb3b,stroke:#333\n style D fill:#6baed6,stroke:#333\n style E fill:#ffeb3b,stroke:#333\n style F fill:#ffeb3b,stroke:#333\n style G fill:#ffeb3b,stroke:#333\n style H fill:#ffeb3b,stroke:#333\n style I fill:#ffeb3b,stroke:#d32f2f,stroke-width:2px\n style J fill:#ffeb3b,stroke:#333\n style K fill:#c8e6c9,stroke:#333\n style L fill:#ffeb3b,stroke:#333\n style M fill:#fdfaf0,stroke:#333\n```\n\n\n```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"客户反馈问题收集\"]\n C@{shape: doc, label: \"问题收集清单\"}\n D{\"运维组评估\"}\n E[\"运维组内部处理\"]\n F{\"软件部评估\"}\n G[\"开发人员修改\"]\n H[\"运维组测试\"]\n I@{shape: doc, label: \"运维记录\"}\n J[\"更新系统操作手册\"]\n K@{shape: doc, label: \"新版操作手册\"}\n L([\"结束\"])\n\n A --> B\n B ~~~ C\n B --> D\n D -->|数据类、简单功能修改| E\n D -.->|系统功能模块重做| F\n F -.->|小问题| E\n F -.->|大问题| G\n E --> H\n G --> H\n H ~~~ I\n H --> J\n J ~~~ K\n J --> L\n\n style A fill:#fdfaf0,stroke:#333\n style B fill:#6baed6,stroke:#333\n style C fill:#6baed6,stroke:#333\n style D fill:#6baed6,stroke:#333\n style E fill:#6baed6,stroke:#333\n style F fill:#fcd0a1,stroke:#d95f02,stroke-dasharray: 5 5\n style G fill:#00ff00,stroke:#333,stroke-dasharray: 5 5\n style H fill:#6baed6,stroke:#333\n style I fill:#6baed6,stroke:#333\n style J fill:#6baed6,stroke:#333\n style K fill:#6baed6,stroke:#333\n style L fill:#fdfaf0,stroke:#333\n```\n\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"图例\"}\n B[\"总经理决策\"]\n C[\"软件部经理负责\"]\n D[\"市场部负责\"]\n E[\"数据一部运维组负责\"]\n F[\"产品经理负责\"]\n G[\"项目经理负责\"]\n H[\"开发人员\"]\n I[\"可省略\"]\n J[\"关键节点\"]\n K@{shape: doc, label: \"文档\"}\n\n A ~~~ B\n B ~~~ C\n C ~~~ D\n D ~~~ E\n E ~~~ F\n F ~~~ G\n G ~~~ H\n H ~~~ I\n I ~~~ J\n J ~~~ K\n\n style B fill:#e53935,stroke:#333\n style C fill:#fcd0a1,stroke:#333\n style D fill:#c8e6c9,stroke:#333\n style E fill:#6baed6,stroke:#333\n style F fill:#ce93d8,stroke:#333\n style G fill:#ffeb3b,stroke:#333\n style H fill:#00ff00,stroke:#333\n style I fill:#ffffff,stroke:#333,stroke-dasharray: 5 5\n style J fill:#ffffff,stroke:#d32f2f,stroke-width:2px\n style K fill:#ffffff,stroke:#333\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/2280edeaa8968e8c7c26dbe1d9e58354.png", "anno": "```mermaid\nflowchart TD\n A[\"临床GDM病例\"]\n B[\"BMI\"]\n C[\"OGTT血糖水平
胰岛素水平\"]\n D[\"血清apoA-I、ApoB、载脂蛋白水平\"]\n E[\"血脂水平\"]\n F[\"血清中FGF21, adiponectin等脂肪细胞因子的水平\"]\n G[\"apoA-I在GDM中与胰岛素抵抗, 脂蛋白水平以及FGF21的相关性\"]\n H[\"机制研究\"]\n subgraph ide1 [\" \"]\n I[\"GDM动物模型实验\"]\n J[\"对照\"]\n K[\"apoA-I\"]\n L[\"apoA-I+FGF21抑制剂\"]\n M[\"ApoA-I+FGF21激动剂\"]\n subgraph ide2 [\" \"]\n N[\"空腹血糖\"]\n O[\"fast insclim\"]\n P[\"OGTT\"]\n Q[\"IVGTT\"]\n R[\"IVIFT\"]\n end\n S[\"血浆\"]\n T[\"脂肪组织\"]\n subgraph ide3 [\" \"]\n U[\"FGF21水平
血脂水平
载脂蛋白水平\"]\n V[\"RT-qPCR WB
免疫荧光 油红染色
富集代谢通路分析\"]\n end\n subgraph ide4 [\" \"]\n W[\"ELISA
生化检测
生化检测\"]\n X[\"基因表达 蛋白表达
脂滴大小数目 代谢组学
Glut4表达和细胞定位\"]\n end\n Y[\"离体原代脂肪细胞实验\"]\n Z[\"ctr、ApoA- I 、si-FGF21、ApoA-2+si-FGF21\"]\n subgraph ide5 [\" \"]\n AA[\"葡萄糖摄取\"]\n AB[\"脂质生成\"]\n AC[\"代谢辛热\"]\n AD[\"磷脂酸β-氧化\"]\n end\n subgraph ide6 [\" \"]\n AE[\"qPCR WB
免疫荧光
荧光葡萄糖类似物\"]\n AF[\"qPCR WB
免疫组化
油红染色\"]\n AG[\"qPCR WB
线粒体活性\"]\n AH[\"qPCR WB
ROS\"]\n end\n subgraph ide7 [\" \"]\n AI[\"基因表达
蛋白表达
GW+4表达定位
GWcoso uptake\"]\n AJ[\"基因表达
蛋白表达
脂滴大小
细胞大小数目\"]\n AK[\"基因表达
蛋白表达
线粒体活性\"]\n AL[\"基因表达
蛋白表达
氧化应激\"]\n end\n AM[\"体外细胞实验\"]\n AN[\"3T3-L1脂肪细胞系\"]\n AO[\"染色质共溶解\"]\n AP[\"分析apoA- I 与FGF21启动子域的结合\"]\n AQ[\"荧光素酶报告实验\"]\n AR[\"分析apoA- I 与FGF21启动子活性\"]\n AS[\"apoA- I 在转录水平调控与FGF21的分子机制\"]\n end\n \n A --> B\n A --> C\n A --> D\n A --> E\n A --> F\n B --> G\n C --> G\n D --> G\n E --> G\n F --> G\n G --> H\n H --- ide1\n I --> Y\n Y --> AM\n I --> J\n I --> K\n I --> L\n I --> M\n J ~~~ ide2\n K ~~~ ide2\n L ~~~ ide2\n M ~~~ ide2\n ide2 --> S\n ide2 --> T\n S ~~~ U\n S ~~~ W\n T ~~~ V\n T ~~~ X\n Y --> Z\n Z --> ide5\n ide5 --> ide6\n ide6 --> ide7\n AM --> AN\n AN --> AO\n AO --> AP\n AP --> AQ\n AQ --> AR\n AR --> AS\n\n style ide1 fill:none,stroke:none\n style ide2 stroke-dasharray: 5 5\n style ide3 stroke-dasharray: 5 5\n style ide4 stroke-dasharray: 5 5\n style ide5 stroke-dasharray: 5 5\n style ide6 stroke-dasharray: 5 5\n style ide7 stroke-dasharray: 5 5\n```\n\n\n```mermaid\nflowchart TD\n A{\"研究方案\"}\n B[\"动物实验\"]\n C[\"收集模型小鼠胃癌组织\"]\n D[\"转录组测序\"]\n E[\"细胞RNA和蛋白质\"]\n F[\"TOMM7等基因表达差异明显\"]\n G[\"实验组\"]\n H[\"对照组\"]\n I[\"实验组\"]\n J[\"顺铂组\"]\n K[\"紫杉醇组\"]\n L[\"5-FU组\"]\n M[\"PBS组\"]\n N[\"顺铂组\"]\n O[\"细胞实验\"]\n subgraph ide1[\" \"]\n P[\"胃黏膜炎症、上皮缺损、氧萎缩、上皮增生和假幽门化生\"]\n Q[\"胃癌数量大小\"]\n end\n subgraph ide2[\" \"]\n R[\"检测胃癌细胞的顺铂耐药性\"]\n S[\"细胞存活率\"]\n end\n T[\"免疫荧光、细胞流式术 Western blot实验, 检测线粒体活性\"]\n subgraph ide3[\" \"]\n U[\"1.验证M3R可促进胃癌细胞线粒体自噬
2.验证神经细胞促进胃癌细胞线粒体自噬。\"]\n V[\"1.验证TOMM7促进胃癌细胞线粒体自噬
2.验证TOMM7促进胃癌细胞耐药
3.验证M3R通过调控TOMM7的表达促进胃癌细胞线粒体自噬
4.验证TOMM7促进胃癌细胞耐药\"]\n W[\"1.验证FOXO3调控TOMM7的表达。
2.验证神经细胞通过M3R受体调控FOXO3的表达。
3.验证神经细胞通过M3R受体调控FOXO3的表达影响TOMM7的表达。
4.验证FOXO3通过结合于TOMM7启动子调控TOMM7的表达。
5.验证FOXO3通过结合于TOMM7启动子调控TOMM7的表达。\"]\n end\n\n A --> B\n A --- C\n B --> G\n B --> H\n B --> I\n G --- J\n G --- K\n G --- L\n H --- M\n I --- N\n J --- O\n K --- O\n L --- O\n M --- O\n N --- O\n O --> ide1\n O --> ide2\n C --> D\n D --> E\n E --> F\n F --> ide3\n F ~~~ T\n T ~~~ ide3\n\n style ide1 stroke-dasharray: 5 5\n style ide2 stroke-dasharray: 5 5\n style ide3 stroke-dasharray: 5 5\n```\n\n\n```mermaid\nflowchart TD\n A[\"M3R\"]\n B[\"TOMM7\"]\n C[\"胃癌预后\"]\n\n A ==> B\n B ==> C\n\n style A stroke-dasharray: 5 5\n style B stroke-dasharray: 5 5\n style C stroke-dasharray: 5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/c8f567c5f4f5e6a8be553b81ed47cdbf.png", "anno": "```mermaid\nflowchart TD\n A([\"账单查询\"])\n B([\"账单详情\"])\n C([\"账单明细下载\"])\n D{\"明细核对\"}\n E([\"账单申诉\"])\n F([\"申请结算\"])\n G{\"预付基线 (5000)\"}\n H[\"提交发票信息\"]\n I([\"付款记录查询\"])\n J([\"发票信息修改\"])\n K[\"提交快递信息\"]\n L([\"发票信息查询\"])\n M[[\"收票审核\"]]\n N{\"发票认证\"}\n O[[\"申诉受理\"]]\n P{\"申诉判定\"}\n Q([\"账单申诉结果查询\"])\n\n A -.-> B\n A --> F\n B -.-> C\n C -.-> D\n D -.-> E\n E -.-> O\n F --> G\n F --> H\n G -->|80%预付| I\n H --> K\n K --> M\n J --> H\n L --> J\n N -->|驳回| L\n N -->|通过付款| I\n O -.-> P \n P -->|申诉驳回| Q\n P -.->|申诉通过, 补返账单| A\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3e903dd71b20d4b123f1cda710dd8769.png", "anno": "### 软件产品设计研发流程图\n\n```mermaid\nflowchart TD\n subgraph ide1 [\"需求收集\"]\n A([\"需求收集\"])\n B[\"用户反馈，运营反馈，市场需求，竞品分析，管理层意见\"]\n C{\"需求调研，确认是否为伪需求?\"}\n D[\"确定需求优先级\"]\n end\n subgraph ide2 [\"原型设计\"]\n E[\"根据需求设计产品原型和相关文档\"]\n F[\"根据评审意见，修改和优化\"]\n G[\"再次评审\"]\n end\n subgraph ide3 [\"需求评审\"]\n H[\"需求提出方、产品设计人员、项目经理进行需求评审\"]\n I{\"是否满足需求，且能实现\"}\n J[\"输出最终原型，对需求进行封版\"]\n K[\"对需求进行交互设计实现\"]\n L{\"评审设计是否通过?\"}\n end\n subgraph ide4 [\"需求开发\"]\n M[\"产品、设计、研发、QA开需求沟通会\"]\n N[\"进入研发流程\"]\n O[\"项目经理审核产品，提交验收\"]\n end\n subgraph ide5 [\"需求验收\"]\n P[\"设计验收\"]\n Q{\"验收通过?\"}\n R[\"产品验收\"]\n S{\"验收通过?\"}\n T[\"如果需要，召开产品体验会\"]\n end\n subgraph ide6 [\"产品发版\"]\n U[\"邀请产品、设计、研发、QA开产品体验会\"]\n V[\"记录反馈问题\"]\n W[\"封版，产品上线\"]\n X[\"线上验收，记录反馈问题，修改或者下一版迭代\"]\n Y([\"完成\"])\n end\n\n A-->B\n B-->C\n C-->|否|D\n C-->|是|Y\n D-->E\n E-->H\n E-->G\n F-->G\n H-->I\n I-->|否|F\n I-->|是|J\n J-->K\n K-->L\n L-->|否|K\n L-->|是|M\n M-->N\n N-->O\n O-->P\n P-->Q\n Q-->|否|N\n Q-->|是|R\n R-->S\n S-->|否|N\n S-->|是|T\n T-->U\n U-->V\n V-->W\n W-->X\n X-->Y\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/da44041118b63fab680192480eefe182.png", "anno": "### 生产管理工作流程图\n\n```mermaid\nflowchart TD\n A((\"开始\"))\n B[\"收集生产信息\"]\n C[\"配合\"]\n D[\"提供客户定单\"]\n E[\"配合\"]\n F[\"分析研究信息\"]\n G[\"制定生产计划\"]\n H{\"审批\"}\n I[\"生产排程\"]\n J[\"组织安排生产\"]\n K[\"技术支持\"]\n L[\"物料供应\"]\n M[\"生产监督\"]\n N[\"生产协调\"]\n O[\"配合\"]\n P[\"配合\"]\n Q[\"生产总结汇报\"]\n R[\"听取汇报\"]\n S[\"生产资料归档\"]\n T((\"结束\"))\n\n A --> B\n C --> B\n D --> C\n B --> F\n E --> F\n F --> G\n G --> H\n G --> I\n H --> I\n I --> J\n K --> J\n L --> J\n J --> M\n P -.-> N\n M --> N\n O --> N\n N --> Q\n Q --> S\n Q --> R\n R --> S\n S --> T\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/977d74daf727455e3c34304f9563a6b7.png", "anno": "### 养猪场废水处理流程图\n\n```mermaid\nflowchart TD\n A((\"猪场废水\"))\n B(\"机械除渣\")\n C@{shape: text, label: \"原水池\"}\n D(\"沼气发电\")\n E(\"UASB\")\n F@{shape: text, label: \"厌氧集水池\"}\n G@{shape: text, label: \"配水池\"}\n H(\"篮式过滤器\")\n I@{shape: text, label: \"厌氧(A)池\"}\n J@{shape: text, label: \"1#微氧池\"}\n K@{shape: text, label: \"2#微氧池\"}\n L@{shape: text, label: \"3#微氧池\"}\n M@{shape: text, label: \"4#微氧池 沉淀池\"}\n N@{shape: text, label: \"清水池\"}\n O(\"均相氧化絮凝器\")\n P(\"达标排放\")\n Q@{shape: text, label: \"污泥池\"}\n R(\"叠螺机\")\n S(\"好氧堆肥\")\n\n A --> B\n B --> C\n B -.-> S\n C --> E\n C --> G\n C --> L\n E --> D\n E --> F\n E -.-> S\n F --> G\n G --> H\n H --> I\n H -.-> S\n I --> J\n J --> K\n K --> L\n L --> M\n L --> J\n M --> I\n M --> N\n M --> Q\n N --> O\n O --> P\n Q --> R\n R --> S\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/dccfb81afd9f4196890e83e8cab45bab.png", "anno": "### 微型消防站火灾处理流程图\n\n```mermaid\nflowchart TD\n A[\"接“119”出动命令\"]\n B[\"巡查发现火情\"]\n C[\"其他部门发现火情\"]\n D[\"通知巡逻秩序维护员到场确定(1分钟响应)\"]\n E[\"误报火情\"]\n F[\"解除\"]\n G[\"零星火点\"]\n H[\"巡逻人员就地灭火\"]\n I[\"发生火灾、拨打119,向消防部门报告情况\"]\n J[\"通知秩序维护部\"]\n K[\"通知最近微型消防站队员到故点集合(3分钟到场)\"]\n L[\"根据火情需要通知专职消防队或其他微型站,联动处置\"]\n M[\"按照火灾扑救预案组织疏散做好警戒\"]\n N[\"火灾初期不能扑灭\"]\n O[\"按火灾预警方案进行人员分配: 指挥组、灭火组、疏散组、保卫组、消防车引导组、救护组\"]\n P[\"进行火灾扑救,组织人员疏散、维护现场秩序\"]\n Q[\"协助消防对进行火灾处置,做好火场移交\"]\n R[\"消防队现场扑救\"]\n S[\"火情解除\"]\n T[\"协助消防部门火灾原因调查、做好善后工作\"]\n U[\"清点器材装备,补齐战斗损耗,恢复之前备战\"]\n V[\"总结、整改、处理\"]\n W[\"书面报告\"]\n X[\"综合部\"]\n Y[\"消防部门\"]\n\n A --> D\n B --> D\n C --> D\n D --> E\n D --> G\n D --> I\n E --> F\n G --> H\n I --> J\n J --> K\n J --> L\n J --> M\n J --> N\n K --> O\n L --> O\n N --> Q\n O --> P\n Q --> R\n P --> S\n R --> S\n S --> T\n S --> U\n T --> V\n V --> W\n W --> X\n W --> Y\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/82c61fc9a814153f4d17c3ef7f01f6da.png", "anno": "```mermaid\nflowchart TD\n A[\"选择课程\"]\n B{\"选择\"}\n C[\"个人独立学习\"]\n D[\"小组协作学习\"]\n E[\"参与分组\"]\n F[\"熟读学习指南\"]\n subgraph ide1 [\" \"]\n G[\"学习相关知识\"]\n H[\"阅读精品资料\"]\n I{\"撰写案例分析报告\"}\n J[\"交流谈论\"]\n K[\"个人测试\"]\n L[\"提交案例分析报告\"]\n M[\"总结反思\"]\n N[\"复习相关知识\"]\n O[\"学习泛读案例\"]\n P[\"评价其他小组或个人分析报告\"]\n end\n Q[\"获取案例学习成绩\"]\n R[\"参加终结性考试, 结束课程学习\"]\n\n A --> B\n B --> C\n B --> D\n C --> F\n D --> E\n E --> F\n F --> G\n G --> H\n H --> I\n H --> J\n J --> M\n I --> K\n K --> M\n L --> M\n M --> N\n M --> O\n M --> P\n P --> Q\n Q --> R\n\n style ide1 fill:color:#000,stroke-dasharray: 5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a89d17787cb41ec27a995e3dfa5d25b8.png", "anno": "```mermaid\nflowchart TD\n A[\"原料进厂\"]\n B{\"IQC 检验\"}\n C[\"开来料品质异常通知单\"]\n D[\"特采\"]\n E[\"退货\"]\n F[\"入仓\"]\n G[\"生产领用\"]\n H{\"首件确认\"}\n I[\"批量生产\"]\n J{\"员工自检\"}\n K{\"IPQC 巡检\"}\n L[\"开制程品质异常单\"]\n M{\"半成品终检\"}\n N[\"开内部退货报告\"]\n O[\"半成品入库\"]\n P[\"生产领用\"]\n Q{\"首件确认\"}\n R[\"批量生产装配\"]\n S{\"员工自检\"}\n T{\"IPQC 巡检\"}\n U{\"OQC 终检\"}\n V[\"开内部退货报告\"]\n W[\"成品入库\"]\n X{\"出货前检验\"}\n Y[\"出货\"]\n \n A --> B\n B -->|NG| C\n B -->|OK| F\n C --> D\n C --> E\n D --> F\n F --> G\n G --> H\n H -->|OK| I\n H -->|NG| L\n I --> J\n J --> K\n K -->|OK| M\n K -->|NG| L\n M -->|OK| O\n M -->|NG| N\n N -->|返工| M\n O --> P\n P --> Q\n Q -->|OK| R\n Q -->|NG| L\n R --> S\n S --> T\n T -->|OK| U\n T -->|NG| L\n U -->|OK| W\n U -->|NG| V\n V -->|返工| U\n W --> X\n X -->|OK| Y\n X -->|NG| V\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1d41fb3a9f92f8d0c9443e28c5ba3b02.png", "anno": "```mermaid\nflowchart TD\n A[\"作者投稿\"]\n B[\"编辑初审\"]\n C[\"1.内容是否适合本刊物发表；
2.文章是否完整；
3.格式是否正确.\"]\n D[\"同行专家评审\"]\n E[\"1.有无政治问题；
2.是否有新思想、新观点；
3.是否有创造性，是否有实用价值；
4.内容是否正确，数据是否准确，结论是否可靠；
5.是否可以公开发表.\"]\n F[\"作者\"]\n G[\"编辑部复审——组稿\"]\n H[\"主编终审\"]\n I[\"编辑加工(定稿)\"]\n J[\"一校\"]\n K[\"印刷厂\"]\n L[\"二校\"]\n M[\"三校\"]\n N[\"四校\"]\n O[\"终版印刷\"]\n P[\"成品\"]\n Q[\"发行\"]\n R[\"1 国家及省、市主管机构，图书馆；
2.订户与作者；
3.院内系、部、处室等；
4.交流单位.\"]\n S[\"自检\"]\n T[\"专家审读\"]\n U[\"总结\"]\n V[\"存档\"]\n W[\"1 作者原稿；
2.四次校对稿件；
3.专家审稿意见；
4主编终审意见；
5.存在问题与改进意见.\"]\n \n A ==> B\n B ~~~ C\n C ==> D\n C -.->|否（退稿）| F\n D ~~~ E\n E -.->|否（退稿）| F\n F <--> I\n E ==> G\n G ==> H\n H ==> I\n H -.->|否（退稿）| F\n I ==> J\n J ==> K\n J -.- L\n K ==> L\n K ==> M\n K ==> N\n L ==> K\n L -.- M\n M ==> K\n M -.- N\n N ==> O\n O ==> P\n P ==> Q\n Q --> R\n Q ==> S\n Q ==> T\n S ==> U\n T ==> U\n U ==> V\n V ~~~ W\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/eee2c395cff9ffba5a5d7b304386cac2.png", "anno": "```mermaid\nflowchart TD\n A[\"绪论\"]\n B[\"研究背景\"]\n C[\"研究现状\"]\n D[\"研究目的\"]\n E[\"研究内容\"]\n F[\"可供性思维介入体验设计的路径\"]\n G[\"体验设计对象的客观化\"]\n H[\"体验可供性\"]\n subgraph id1[\" \"]\n I[\"生态维度下的体验可供性\"]\n J[\"生态维度的可供性机制\"]\n K[\"直接知觉\"]\n L[\"环境中的介质、表面、实体等传递的信息\"]\n M[\"生态维度下的体验可供性设计策略\"]\n end\n subgraph id2[\" \"]\n N[\"社会文化维度下的体验可供性\"]\n O[\"社会文化维度的可供性机制\"]\n P[\"受社会规范与后天能力制约\"]\n Q[\"人际交互中的语言、表情等传递的信息\"]\n R[\"社会文化维度下的体验可供性设计策略\"]\n end\n S[\"体验可供性设计模型\"]\n T[\"体验可供性的构建过程\"]\n U[\"体验可供性的感知过程\"]\n V[\"编码理解一致\"]\n W[\"传递渠道有效\"]\n X[\"语言信息\"]\n Y[\"非语言信息\"]\n Z[\"基于模型对设计策略再阐释\"]\n AA[\"以青桔单车体验优化为例的应用实践\"]\n AB[\"基于体验可供性设计模型要素解构问题\"]\n AC[\"使用体验可供性设计策略发散解决方案\"]\n AD[\"优化前后可供性与体验评价对比\"]\n\n A --> B\n A --> C\n A --> D\n A --> E\n B --> F\n C --> F\n D --> F\n E --> F\n F --> G\n G --> H\n H --> I\n H --> N\n I --> J\n J -->|感知| K\n J -->|构建| L\n L --- M\n K --- M\n N --> O\n O -->|感知| P\n O -->|构建| Q\n P --- R\n Q --- R\n M --> S\n R --> S\n S --> T\n S --> U\n T --> V\n T --> W\n U --> X\n U --> Y\n V --> Z\n W --> Z\n X --> Z\n Y --> Z\n Z --> AA\n AA --> AB\n AB --> AC\n AC --> AD\n\n style id1 stroke-dasharray: 5 5\n style id2 stroke-dasharray: 5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/cbedcc6dd15c85ea2fad499180abb368.png", "anno": "```mermaid\nflowchart TD\n A[\"初诊患者\"]\n B[\"妇科首诊\"]\n C{\"基础评估完成？\"}\n D[\"完善检查：
• 生殖激素
• AMH
• 盆腔超声
• 精液分析等\"]\n E[\"风险分层\"]\n F[\"中高风险\"]\n G[\"低风险\"]\n I[\"常规备孕指导\"]\n subgraph id1 [\"MDT协作核心\" ]\n H[\"启动MDT转诊\"]\n J[\"风湿免疫科
• 抗磷脂综合征
• 免疫性不孕\"]\n K[\"中医科
• 体质调理
• 周期调理\"]\n L[\"心理科
• 焦虑/抑郁评估
• 应激干预\"]\n M[\"产科
• 高危妊娠预判
• 既往产科病史\"]\n N[\"泌尿外科
• 男性不育因素
• 性功能障碍\"]\n end\n O[\"MDT联合会诊\"]\n P[\"制定个体化方案：
• 生育时机
• 干预措施
• 妊娠期管理\"]\n Q[\"方案实施与随访\"]\n R{\"妊娠达成？\"}\n S[\"转高危产科管理\"]\n T[\"重新评估方案\"]\n\n A --> B\n B --> C\n C -->|否| D\n C -->|是| E\n D --> F\n D --- E\n E --> G\n G --> I\n F --> H\n H --> J\n H --> K\n H --> L\n H --> M\n H --> N\n J --> O\n K --> O\n L --> O\n M --> O\n N --> O\n O --> P\n P --> Q\n Q --> R\n R -->|是| S\n R -->|否| T\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/01e2194073ff1d449d3ce0e86fedab97.png", "anno": "### 1、流程图\n\n```mermaid\nflowchart TD\n A(\"开始\")\n B[\"系统初始化\"]\n C[\"SPI-Wi-Fi初始化\"]\n D[\"设置Wi-Fi连接\"]\n E[\"开Wi-Fi接收中断\"]\n F[\"等待接收中断\"]\n G{\"是否收到上机命令\"}\n H[\"退出中断\"]\n I[\"串口转发至FPGA\"]\n J[\"打开IO中断\"]\n K[\"等待接收中断\"]\n L{\"是否收到数据就绪讯号\"}\n M[\"读取数据并整理\"]\n N[\"退出中断\"]\n O[\"Wi-Fi发送数据\"]\n P[\"数据发送结束\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n D --> J\n E --> F\n F --> G\n G -->|是| F\n G -->|是| H\n H --> I\n I --> F\n J --> K\n K --> L\n L -->|否| K\n L -->|是| M\n M --> N\n N --> O\n O --> P\n P --> K\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/dee3d0bd75ccbd587f4fedd59eba6eab.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"租赁储物柜\"]\n C[\"查询空余柜子至销售前台或线上办理柜子\"]\n D[\"支付押金、租金\"]\n E[\"配置腕带或者刷脸、分配柜号绑定ID\"]\n F[\"获取媒介(腕带、刷脸)\"]\n G[\"生成订单、记录腕带ID\"]\n H[\"提供腕带ID、柜号至中转应用\"]\n I[\"获取腕带id和柜号 保存记录\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n E --> G\n E --> H\n H --> I\n```\n\n\n```mermaid\nflowchart TD\n A[\"开柜\"]\n B[\"腕带或者刷脸开箱、可以多次开箱\"]\n C[\"获取开柜记录\"]\n D[\"记录开箱记录\"]\n\n A --> B\n B --> C\n C --> D\n```\n\n\n```mermaid\nflowchart TD\n A[\"退柜\"]\n B[\"前台办理退柜、解锁订单柜号关系\"]\n C[\"提供腕带ID至中转\"]\n D[\"释放腕带ID与绑定柜子关系\"]\n E[\"押金原路返回\"]\n F[\"获取押金\"]\n G[\"中转信息成功\"]\n H[\"获取释放信息、记录退柜记录、释放库存\"]\n I([\"结束\"])\n\n A --> B\n B --> C\n C --> D\n B --> E\n E --> F\n D --> G\n G --> H\n H --> I\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/d3b8d0c6a69f50e16551259a235e3d93.png", "anno": "```mermaid\nflowchart TD\n A(\"研究框架\")\n B(\"提出问题\")\n C(\"分析问题\")\n D(\"解决问题\")\n E(\"影响机理研究\")\n F(\"产业链重构路径\")\n G(\"政策建议\")\n H(\"研究内容\")\n subgraph ide1 [\" \"]\n I(\"全球创新趋势、创新力测度与国际比较研究\")\n subgraph ide2 [\" \"]\n J(\"创新趋势\")\n K(\"前沿学科\")\n L(\"专利分布\")\n M(\"人员交流\")\n N(\"产业应用\")\n end\n subgraph ide3 [\" \"]\n O(\"创新力测度\")\n P(\"“科学-技术-产业”
横向价值链横向\")\n Q(\"“实力-效力”
纵向价值链\")\n end\n subgraph ide4 [\" \"]\n R(\"国际比较\") \n S(\"地位指数\")\n T(\"参与度指数\")\n U(\"竞争优势与劣势\")\n end\n end\n subgraph ide5 [\" \"]\n V(\"全球创新产业链的识别、解构与风险防范研究\")\n subgraph ide6 [\" \"]\n W(\"产业链识别与解构\")\n X(\"产业链关节环节\")\n Y(\"产业网络结构\")\n Z(\"产业关联特征\")\n AA(\"产业链波及影响\")\n AB(\"产业链结构特征\")\n AC(\"为产业链重构提供现实依据\")\n end\n subgraph ide7 [\" \"]\n AD(\"产业链断链风险防范与化解\")\n AE(\"上游原料寡头垄断\")\n AF(\"加工工艺不先进\")\n AG(\"设计软件对外依赖度高\")\n AH(\"加工设备自给率低\")\n AI(\"上下游供需不匹配\")\n AJ(\"构建风险监测预警体系\")\n AK(\"提出产业链重构最优路径\")\n end\n end\n subgraph ide8 [\" \"]\n AL(\"全球创新产业链重构路径及影响机理研究\")\n subgraph ide9 [\" \"]\n AM(\"市场需求\")\n AN(\"产业链依存度\")\n AO(\"技术创新\")\n AP(\"国家政策\")\n AQ(\"国际竞争与制裁\")\n AR(\"影响因素\")\n AS(\"价值链+供需链+空间链\")\n AT(\"影响机理\")\n AU(\"产业链重构影响机理\")\n AV(\"分工边界拓展\")\n AW(\"研发与交易成本变化\")\n AX(\"价值分配转移\")\n AY(\"供求关系变化\")\n end\n end\n subgraph ide10 [\" \"]\n subgraph ide11 [\" \"]\n AZ(\"产业链重构三要素\")\n BA(\"价值重构\")\n BB(\"组织重构\")\n BC(\"空间重构\")\n end\n subgraph ide12 [\" \"]\n BD(\"半导体产业链重构模式与路径\")\n BE(\"全球产业链价值链联动\")\n BF(\"产业链升级\")\n BG(\"全球产业链生态系统\")\n BH(\"产业链横纵向拓展\")\n BI(\"国产化替代\")\n BJ(\"区域价值链合作\")\n end\n end\n subgraph ide13 [\" \"]\n BK(\"我国创新产业政策优化与评价研究\")\n BL(\"产业政策发展历程及成效\")\n BM(\"产业政策评价体系\")\n BN(\"产业政策优化\")\n end\n BO(\"研究方法\")\n BP(\"知识图谱
专利计量
技术预见
区块聚类
多维创新指数\")\n BQ(\"复杂网络模型
层级分析法
ABM模型
压力测试
Agent仿真模拟\")\n BR(\"多元Logi
Probit
Tobit等模型
DSGE模型
中心外围模型
案例分析\")\n BS(\"SCP模型
SWOT分析
SPACE矩阵
PMC指数模型\")\n \n A ==> B\n B ==> C\n C ==> D\n D ==> E\n E ==> F\n E ~~~ ide8\n F ==> G\n H ~~~ ide1\n J ~~~ K\n K ~~~ L\n L ~~~ M\n M ~~~ N\n O ~~~ P\n P ~~~ Q\n R ~~~ S\n S ~~~ T\n T ~~~ U\n ide1 ~~~ ide5\n ide2 ==> ide3\n ide3 ==> ide4\n X --> AB\n Y --> AB\n Z --> AB\n AA --> AB\n AB --> AC\n AE --> AJ\n AF --> AJ\n AG --> AJ\n AH --> AJ\n AI --> AJ\n AJ --> AK\n ide5 ~~~ ide8\n AM --> AR\n AN --> AR\n AO --> AR\n AP --> AR\n AQ --> AR\n AR --> AS\n AS --> AU\n AV --> AT\n AW --> AT\n AX --> AT\n AY --> AT\n AT --> AS\n ide8 --> ide10\n ide11 ==> ide12\n ide8 ~~~ ide13\n AZ ~~~ BA\n BA ~~~ BB\n BB ~~~ BC\n BD ~~~ BE\n BD ~~~ BF\n BE ~~~ BF\n BE ~~~ BG\n BG ~~~ BH\n BG ~~~ BI\n BF ~~~ BH\n BH ~~~ BJ\n BI ~~~ BJ\n BL ==> BM\n BM ==> BN\n BO ==> BP\n BP ==> BQ\n BQ ==> BR\n BR ==> BS\n BR ~~~ ide8\n\n style ide1 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide2 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide3 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide4 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide5 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide6 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide7 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide8 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide9 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide10 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide11 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide12 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide13 fill:none,stroke:#333,stroke-dasharray:5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/403cc74b4aa7cfd95646104b0142844d.png", "anno": "```mermaid\nflowchart TD\n A[\"确立选题\"]\n B[\"归纳整理\"]\n C[\"文献资料的收集\"]\n D[\"国潮服饰研究现状\"]\n E[\"国内Z世代消费者\"]\n F[\"国潮服装设计特征\"]\n G[\"国潮服装现存问题\"]\n H[\"z世代概念\"]\n I[\"z世代消费需求\"]\n J[\"z世代消费特征\"]\n K[\"确定调研目标人群\"]\n L[\"设计问卷调查\"]\n M[\"文献总结梳理\"]\n N[\"梳理整合缺漏数据，准备市场调研\"]\n O[\"定性研究（访谈与观察）\"]\n P[\"定量研究（问卷交叉发放）\"]\n Q[\"现存问题\"]\n R[\"设计特征\"]\n S[\"当下流行趋势\"]\n T[\"消费特征\"]\n U[\"消费需求\"]\n V[\"梳理整合市场调研数据\"]\n W[\"基于国内z世代的国潮服饰设计调研数据分析总结\"]\n X[\"提取国内z世代消费喜好的国潮服饰的设计元素\"]\n Y[\"国潮服饰设计元素提取\"]\n Z[\"z世代消费群体的需求\"]\n AA[\"文化元素\"]\n AB[\"潮流元素\"]\n AC[\"物质需求\"]\n AD[\"文化需求\"]\n AE[\"设计实践\"]\n AF[\"灵感与主题的确定\"]\n AG[\"款式的运用\"]\n AH[\"色彩的运用\"]\n AI[\"工艺的运用\"]\n AJ[\"面料的运用\"]\n AK[\"制作成衣\"]\n AL[\"市场投入\"]\n AM[\"市场数据的反馈\"]\n AN[\"总结并撰写论文\"]\n\n A --> B\n B --> C\n C --> D\n C --> E\n D --> F\n D --> G\n E --> H\n E --> I\n E --> J\n F --> M\n G --> M\n H --> K\n H --> M\n I --> L\n I --> M\n J --> M\n J --> L\n \n K --> L\n L --> M\n M --> N\n N --> O\n N --> P\n O --> Q\n O --> R\n O --> S\n O --> T\n O --> U\n P --> Q\n P --> R\n P --> S\n P --> T\n P --> U\n Q --> V\n R --> V\n S --> V\n T --> V\n U --> V\n V --> W\n W --> X\n X --> Y\n X --> Z\n Y --> AA\n Y --> AB\n Z --> AC\n Z --> AD\n AA --> AE\n AD --> AE\n AE --> AF\n AF --> AG\n AF --> AH\n AF --> AI\n AF --> AJ\n AG --> AK\n AH --> AK\n AI --> AK\n AJ --> AK\n AK --> AL\n AL --> AM\n AM --> AN\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/d6ba1174d1885a28ec5e1b77c78065d2.png", "anno": "```mermaid\nflowchart TD\n A(\"开发时间\")\n B(\"主题企划\")\n C(\"产品上市计划\")\n D[\"市场信息
顾客信息
流行趋势
其他信息\"]\n E[\"设计元素
款式
面料
颜色
工艺
图案
配饰
其他\"]\n F(\"色彩企划\")\n G(\"材料企划\")\n H(\"产品企划\")\n I(\"产品类别\")\n J(\"历史销售数据\")\n K(\"当季销售预测\")\n L(\"产品设计\")\n M[\"分阶段进行：
物料开发
BOM
工艺
样衣\"]\n N[\"主料用量及成本
辅料用料及成本
工序费用
其他费用\"]\n O(\"成本核算\")\n P(\"成本\")\n Q(\"订货\")\n R(\"生产\")\n S(\"款式列表\")\n T(\"订货分析\")\n U(\"生产计划\")\n V(\"物料采购\")\n W(\"生产管理\")\n X(\"质量控制\")\n Y(\"物料仓储及配送\")\n Z(\"产品仓储及配送\")\n AA(\"销售\")\n\n A --> B\n A <--> C\n C ~~~ D\n D ~~~ I\n E --> B\n B --> F\n F --> G\n G --> H\n H --> L\n E --> L\n L --> M\n L --> S\n M --> V\n M --> N\n N --> M\n N --> O\n O --> V\n O ~~~ P\n O ~~~ Q\n O ~~~ R\n S --> T\n T --> U\n U --> V\n U --> W\n W --> X\n V --> Y\n Y --> W\n X --> Z\n Z --> AA\n AA --> J\n I --> J\n I --> F\n J --> K\n K --> H\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/46bc6db3c2627f364697ab110eec3228.png", "anno": "```mermaid\nflowchart TD\n A(\"出口流程\")\n B[\"询盘\"]\n C[\"发盘\"]\n D[\"还盘\"]\n E[\"接受\"]\n F[\"签订出口合同\"]\n G{\"付款方式\"}\n H[\"收到对方电汇款\"]\n I[\"催证\"]\n J{\"审证\"}\n K@{ shape: subproc, label: \"进口商\" }\n L@{ shape: subproc, label: \"开证行\" }\n M@{ shape: subproc, label: \"通知行\" }\n N@{ shape: text, label: \"发出信用证修改通知书\" }\n O[\"拿到有效信用证\"]\n P[\"根据合同组织采购或者向工厂订货\"]\n Q@{ shape: sm-circ, label: \"Small start\" }\n R@{ shape: subproc, label: \"外汇管理局\" }\n S[\"包装，刷唛\"]\n T[\"委托货运代理货运\"]\n U[\"领取出口收汇核销单\"]\n V[\"1、商业发票
2、装箱单(packing list)
3、报关单
4、并随附合同和信用证副本
5、报检委托书（委托工厂报检）
6、出口商品检验申请单\"]\n W@{ shape: subproc, label: \"商检局\" }\n X[\"获得商检换证凭单\"]\n Y[\"在离境港所在地的商检局换取出境货物通关单\"]\n Z@{ shape: subproc, label: \"货运代理\" }\n AA[\"填写装货单(shipping order)\"]\n AB[\"报关\"]\n AC[\"1.出口货物报关单
2.装货单或运单
3.商业发票
4.各类许可证
5.出口收汇核销单
6.代理报关授权委托协议(代理报关时)
7.合同（不用商检或者采用电子换单的商检不需要）
8.海关认为必要时应交验的贸易合同、产地证和其他有关证明\"]\n AD[\"在海关监管区域内对
出口货物进行查验\"]\n AE[\"结关放行\"]\n AF[\"1.在装货单或运单上加盖放行章
2.在出口收汇核销单“海关核放情况”栏加盖“验讫章”
3.签发注有核销单编号的报关单(证明联(出口收汇用)、证明联(出口退税用)、用于办理加工贸易核销的海关核销联)\"]\n AG@{ shape: subproc, label: \"货运代理\" }\n AH@{ shape: subproc, label: \"船公司\" }\n AI[\"直接给客户M B/L或者给客户分提单H B/L\"]\n AJ{\"收款方式\"}\n\n AK[\"自己将商业发票，装箱单，提单等单据寄给客户清关\"]\n AL[\"银行收到电汇款，通知进行下一步处理\"]\n AM[\"根据信用证的要求提供单据。一般有发票，装箱单，产地证，许可证，提单，可能还有客人验货的证明，还有一些受益人的证明，开具跟单汇票交议付行\"]\n AN[\"将商业发票，装箱单，产地证，许可证，提单，开具跟单汇票通过银行发给客户\"]\n AO[\"客户提货后汇款\"]\n AP[\"将商业发票，外汇核销单交银行结汇\"]\n AQ[\"将商业发票，外汇核销单交银行结汇\"]\n AR[\"自己将商业发票，装箱单，提单等单据寄给客户清关\"]\n AS[\"议付行审核通过\"]\n AT{\"要求议付?\"}\n AU[\"议付行垫付货款\"]\n AV[\"将全套单证寄开证行\"]\n AW[\"将全套单证寄开证行\"]\n AX[\"开证行付款给议付行\"]\n AY[\"开证行付款给议付行\"]\n AZ[\"付款\"]\n BA[\"客户付款赎单\"]\n BB[\"客户承兑汇票，银行给单\"]\n BC[\"汇票到期客户付款\"]\n BD[\"银行收到货款\"]\n BE[\"结汇并给出口单位出具出口收汇核销专用联(注明出口收汇核销单编号)\"]\n BF@{ shape: subproc, label: \"外汇管理局\" }\n BG[\"报关单（出口货物纸质报关单一式六联）：
1、海关作业联
2、海关留存联
3、企业留存联
4、海关核销联（用于办理加工贸易核销）
5、证明联（出口收汇用）
6、证明联（出口退税用）。\"]\n BH[\"1.银行出具的出口收汇核销专用联
2.外汇管理局出口收汇核销单
3.出口收汇报关单证明联
4.商业发票
5.核销报告表\"]\n BI[\"在银行出具的出口收汇核销专用联、出口收汇核销单退税专用联上加盖“已核销”印章\"]\n BJ[\"出口收汇核销单，一张三联，从左到右依次是：
1、存根联
2、出口收汇核销单
3、出口退税专用联（未给核销，不得撕开）\"]\n BK@{ shape: subproc, label: \"国税局\" }\n BL[\"1.报关单(出口退税证明联)
2. 出口销售发票。
3. 结汇水单或收汇通知书(银行出具的出口收汇核销专用)。
4. 产品征税证明(缴款书)。
5. 出口收汇已核销证明(出口收汇核销单退税专用联)。
6. 进货增值税发票抵扣联。
7. 与出口退税有关的其他材。\"]\n BM[\"增值税发票一式四联：
1、第一联（存根联），销售单位留存备查
2、第二联（发票联），购货单位记账
3、第三联（抵扣联），购货单位抵扣税款
4、第四联（记账联），销售单位记账\"]\n BN(\"完成\")\n\n A --> B & C & D & E\n B & C & D & E --> F\n F --> G\n G -->|后T/T| P\n G -->|前T/T| H\n G -->|L/C| I\n G -->|D/P或D/A| P\n I --> J\n J -->|信用证有问题要求修改| K\n J -->|没问题| O\n K -->|修改申请| L\n L --> M\n M --> N\n N --> O\n H --> P\n O --> P\n P --> Q\n Q --> R & S & T\n R --> U\n S --> V\n V --> W\n W --> X\n X --> Y\n T -->|填写托运单（shipping note）| Z\n Z -->|确定船舶后，退回托运单的配舱回单| AA\n U --> AB\n Y --> AB\n AA --> AB\n AB ---|报关需提供的单证| AC\n AB --> AD\n AD --> AE\n AE -->|海关处理的单据| AF\n AE -->|海关加盖放行章的装货单| AG\n AH -->|从船公司取得M B/L| AG\n AG --> AI\n AI --> AJ\n AJ -->|后T/T| AK\n AJ -->|前T/T| AL\n AJ -->|L/C| AM\n AJ -->|D/P或D/A| AN\n AK --> AO\n AO --> AP\n AL --> AQ\n AQ --> AR\n AN --> AS\n AS --> AT\n AT -->|是| AU\n AT -->|不| AV\n AU --> AW\n AW -->|开证行审核通过| AX\n AV -->|开证行审核通过| AY\n AY --> AZ\n AN --> |D/P| BA\n AN -->|D/A| BB\n BB --> BC\n BA --> BD\n BC --> BD\n AP --> BE\n AR --> BE\n AX --> BE\n AZ --> BE\n BD --> BE\n BE -->|出口收汇核销| BF\n BE ~~~ BG\n BF -->|核销应提供的单证| BH\n BF -->|核销后| BI\n BI ~~~ BJ\n BI -->|退税| BK\n BK -->|退税需提交的单证| BL\n BK ~~~ BM\n BK --> BN\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/80a17f068e1e31311435f2c75ab3c07b.png", "anno": "### PMC 订单管理工作流程图\n\n```mermaid\nflowchart TD\n A([\"客户订单\"])\n B[\"业务部申请订单\"]\n C{\"订单审核、审批\"}\n D[\"计划员定期生成新经营计划\"]\n E[\"计划员根据主计划调整周计划\"]\n F[\"计划员计算MRP 计划\"]\n G[\"采购计划\"]\n H[\"生产计划\"]\n I[\"外协计划\"]\n J[\"计划员生产排产\"]\n K[\"计划员负荷分析、外协调整\"]\n L[\"车间调度分派工单\"]\n M[\"物料员生产领料\"]\n N[\"仓库生产入库\"]\n O[\"车间文员汇报完工情况\"]\n P[\"车间生产\"]\n Q([\"销售出货\"])\n\n A --> B\n B --> C\n C -->|否| B\n C -->|是| D\n D --> E\n E --> F\n F --> G\n F --> H\n F --> I\n G --> K\n H --> K\n I --> K\n J --> L\n K --> J\n L --> M\n M --> P\n P --> O\n O --> N\n N --> Q\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/81dff48d550f7a29cbb0485d4bf66df0.png", "anno": "```mermaid\nflowchart TD\n A[\"研究内容\"]\n B[\"研究阶段\"]\n C[\"研究方法\"]\n D[\"提出问题\"]\n subgraph id1 [ ]\n E[\"民族高校经济专业产学研融合模式现状\"]\n F[\"研究背景与意义\"]\n G[\"国内研究现状\"]\n H[\"研究设计\"]\n I[\"理论框架\"]\n end\n J[\"文献研究法\"]\n X[\"分析问题\"] \n subgraph id2 [ ]\n K[\"数字经济时代对人才能力的新挑战\"]\n L[\"数据洞察能力\"]\n M[\"创新思维培养\"]\n N[\"知识跨界融合\"]\n end\n O[\"文献研究法
案例研究法\"]\n subgraph id3 [ ]\n P[\"产学研融合的必然趋势与实施难点\"]\n Q[\"融合之必要\"]\n R[\"融合之可能\"]\n S[\"融合之挑战\"]\n T[\"融合之动力\"]\n U[\"融合之瓶颈\"]\n V[\"融合之关键\"]\n end\n W[\"文献研究法
问卷调查法
案例研究法\"]\n subgraph id4 [ ]\n Y[\"民族高校在人才培养中的独特考量\"]\n Z[\"文化融合之民族文化在经济教育中的独特价值\"]\n AA[\"地域特色教育之结合地区优势，打造特色经济教育模式\"]\n AB[\"民族高校的优势挖掘之与当地企业的天然合作纽带\"]\n AC[\"多元文化教育之培养全球化背景下的跨文化交流能力\"]\n end\n AD[\"文献研究法
问卷调查法
案例研究法\"]\n AE[\"解决问题\"] \n subgraph id5 [ ]\n AF[\"构建与时俱进的产学研融合体系\"]\n AG[\"产学研融合教育体系模式创新\"]\n AH[\"加强校企合作，共育经济新人才\"]\n AI[\"实践教学环节的创新与强化\"]\n AJ[\"科研成果的转化与价值实现\"]\n subgraph id51 [ ]\n AK[\"课程设置革新\"]\n AL[\"实战教学\"]\n AM[\"科研引领\"]\n end\n subgraph id52 [ ]\n AN[\"搭建合作桥梁\"]\n AO[\"创造实践机会\"]\n AP[\"校企双效支持\"]\n end\n subgraph id53 [ ]\n AQ[\"实习体验\"]\n AR[\"案例教学\"]\n AS[\"模拟实战\"]\n end\n subgraph id54 [ ]\n AT[\"科研参与与激励\"]\n AU[\"成果转化路径\"]\n AV[\"价值双层合作\"]\n end\n end\n AW[\"文献研究法
案例研究法\"]\n AX[\"总结问题\"] \n subgraph id6 [ ]\n AY[\"总结与展望\"]\n end\n AZ[\"归纳总结\"]\n\n AG ~~~ id51\n AH ~~~ id52\n AI ~~~ id53\n AJ ~~~ id54\n B --- A\n A --- C\n C --> J\n J --> O\n O --> W\n W --> AD\n AD --> AW\n AW --> AZ\n J -->id1\n O --> id2\n W --> id3\n AD --> id4\n AW --> id5\n AZ --> id6\n B --> D\n D --> X\n X --> AE\n AE --> AX\n D --> id1\n X --> id2\n X --> id4\n AE --> id5\n AX --> id6\n A --> id1\n id1 --> id2\n id2 --> id3\n id3 --> id4\n id4 --> id5\n id5 --> id6\n E --> F\n E --> G\n E --> H\n E --> I\n K --> L\n K --> M\n K --> N\n P --> Q\n P --> R\n P --> S\n P --> T\n P --> U\n P --> V\n Y --> Z\n Y --> AA\n Y --> AB\n Y --> AC\n AF --> AG\n AF --> AH\n AF --> AI\n AF --> AJ\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a8b320055ff5af6c7172368ba138eb9d.png", "anno": "```mermaid\nflowchart TD\n A[\"采购需求\"]\n B[\"采购计划\"]\n C{\"审批\"}\n D[\"寻找供应商\"]\n E[\"采销部\"]\n F[\"采购部\"]\n G[\"销售部\"]\n H[\"总监\"]\n I[\"寻价\"]\n J[\"比价\"]\n K[\"议价\"]\n L[\"采购洽谈\"]\n M[\"签订采购合同\"]\n N[\"财务部确认付款条件和账期\"]\n O{\"审批\"}\n P[\"总监\"]\n Q{\"交货验收\"}\n R[\"验收不合格\"]\n S[\"验收合格\"]\n T[\"退货\"]\n U[\"入仓\"]\n V[\"按计划对账\"]\n W[\"财务结算\"]\n\n A --> B\n B --> C\n B --> D\n C --> E\n C --> F\n C --> G\n E --> H\n F --> H\n G --> H\n D --> I\n D --> J\n D --> K\n I --> L\n J --> L\n K --> L\n L --> M\n M --> N\n P --> Q\n N --> O\n O --> P\n Q --> R\n Q --> S\n R --> T\n S --> U\n U --> V\n V --> W\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/17059f085e6f8209f30658e02aecd162.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"日常工作发现的数据质量问题\"]\n C[\"提出数据质量需求\"]\n D([\"开始\"])\n E[\"日常检查\"]\n F[\"发现数据质量问题\"]\n G([\"开始\"])\n H[\"组织专项检查\"]\n I[\"发现数据质量问题\"]\n J[\"收集归并问题\"]\n K[\"收集 / 形成数据质量需求\"]\n L{\"审查\"}\n M[\"组织相关方开展数据质量问题分析\"]\n N[\"牵头形成业务方面数据质量分析、形成方案\"]\n O[\"牵头形成管理方面数据质量分析、形成分析方案\"]\n P[\"牵头形成技术方面数据质量分析、形成方案\"]\n Q[\"形成数据质量分析结果及整改方案\"]\n R{\"审核\"}\n S{\"审核\"}\n T{\"审议\"}\n U[\"跟进相关责任主体整改、验证\"]\n V{\"审核\"}\n W{\"审核\"}\n X[\"数据质量问题知识仓库\"]\n Y[\"备案\"]\n Z([\"结束\"])\n\n A --> B\n B --> J\n C --> K\n D --> E\n E --> F\n F --> J\n G --> H\n H --> I\n I --> J\n J --> K\n K --> L\n L --> M\n M --> N\n M --> O\n M --> P\n N --> Q\n O --> Q\n P --> Q\n Q --> R\n R -->|通过| S\n S -->|重大问题| T\n T --> U\n U --> V\n V -->|通过| W\n W --> Y\n W --> X\n Y --> Z\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/e1d16acd586e72a6665ffb5f75612967.png", "anno": "### 专利流程图及所需材料\n\n```mermaid\nflowchart TD\n A([\"申请书\"])\n B([\"申请人直接提交\"])\n C([\"委托专利代理机构提交\"])\n D{\"专利申请\"}\n E([\"不予受理\"])\n F[\"申请人应先向国家知识产权局专利局递交以下规范性申请文件(五书)
外观:1、请求书 2、外观设计图片或照片3、外观设计简要说明\"]\n G([\"国家知识产权局
专利局受理\"])\n H([\"申请人缴纳
申请费\"])\n I([\"专利局进行
专利分类\"])\n J{\"初步审查\"}\n K([\"审查意见/补正\"])\n L([\"驳回\"])\n M([\"授予专利\"])\n N([\"获得专利证\"])\n O([\"书面提出实质审
查请求,交费\"])\n P([\"审查意见/补正\"])\n Q([\"实质审查\"])\n R([\"申请视为撤销\"])\n S([\"审查意见/补正\"])\n T([\"驳回\"])\n U[\"授予专利权\"]\n V([\"专利局发出驳回
专利申请的通知\"])\n W([\"专利复审委员会
合议审理\"])\n X([\"获得专利证\"])\n Y([\"撤销原驳回决定\"])\n Z([\"维持原驳回决定\"])\n AA([\"发回专利局重新审理\"])\n AB([\"申请程序终止书\"])\n AC([\"到法院起诉\"])\n\n A --> B\n A --> C\n B --> D\n C --> D\n D -->|不合格| E\n D --> G\n D --> F\n G --> H\n H --> I\n I --> J\n J -->|实用新型专利外观设计专利需修改| K\n K -->|不合格| L\n L --> V\n K -->|合格| M\n M -->|办理登记手续、缴费| N\n N --> U\n J -->|发明专利
合格| O\n O -->|（可在申请日起三年内提出）
未提出| R\n O -->|合格
等待实审提案| Q\n Q -->|合格| U\n Q -->|需修改| S\n S -->|不合格| T\n S -->|合格| U\n J -->|发明专利
需修改| P\n P -->|不合格| T\n T --> V\n V --> X\n V --> W\n W -->|认为驳回决定不正确| Y\n W -->|认为驳回决定正确| Z\n Z -->|服从| AB\n Z --> AA\n Z --> AC\n Y -->|服从| AB\n Y --> AA\n Y --> AC\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0fe88b0f7a1815068502c0693834d5fa.png", "anno": "```mermaid\nflowchart TD\n A[\"1.
SCREEN PRINTER\"]\n B{\"2.
THICKNESS MEASURING\"}\n C[\"3.
PROGRAM PREPARING\"]\n D[\"4.
HIGH SPEED MOUNTER\"]\n E[\"5.
MULTIFUNCTION MOUNTER\"]\n F[\"6.
REFLOW\"]\n G{\"7.
REFLOW TEMP. MEASURING\"}\n H{\"8.
INSPECTION\"}\n I[\"9.
TOUCH UP\"]\n J[\"10.
GO TO NEXT MANUFACTURING STEP\"]\n\n A -.-> B\n A --> D\n B -.->|OK| D\n B -.->|NG| A\n C -.-> D\n C -.-> E\n D --> E\n E --> F\n F --> H\n F -.-> G\n G -.->|OK| H\n G -.->|NG| F\n H -->|OK| J\n H -.->|NG| I\n I -.->|OK| H\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/f491b08183b2d0d2f47894e22fa1fd67.png", "anno": "```mermaid\nflowchart TD\n A(\"Soft tissue sarcoma\")\n B(\"Local examination:
local physical examination, plain film,ultrasound, enhanced CT or MRI, DSA, etc.\")\n C(\"Whole body examination:
chest CT, upper abdominal ultrasound,ECT, PET-CT,etc.\")\n D(\"Pathological examination\")\n E(\"Benign\")\n F(\"One-stage resection\")\n G(\"Follow up\")\n H(\"Mallgnant\")\n I(\"Possible residual tumor after surgery\")\n J(\"One-stage excision possible\")\n K(\"Residual tumor after surgery\")\n L(\"Combined distant metastases\")\n M(\"Refused or unable to expand resection\")\n N(\"Extended resection\")\n O(\"Neoadjuvant therapy:
intravenous chemotherapy
±
arterial embolization perfusion therapy
±
isolated limb hyperthermic perfusion chemotherapy, etc.\")\n P(\"Intravenous chemotherapy\")\n Q(\"Postoperative local radiotherapy
±
Chemotherapy\")\n R(\"Adjuvant radiotherapy Adjuvant chemotherapy\")\n S(\"Surgical resection
±
Other local treatments\")\n T(\"Refused or unable to operate\")\n U(\"Reaching safe surgical boundanies\")\n V(\"Reassessment with contrast-enhanced CT and MRI\")\n W(\"Medical treatment\")\n X(\"Other topical treatments\")\n Y(\"Wide excision or limb salvage possible\")\n Z(\"Still unable to wide resection or limb salvage\")\n AA(\"Palliative surgery:
postoperative local radiotherapy + chemotherapy\")\n AB(\"Amputation: adjuvant chemotherapy\")\n AC(\"Inoperable:
palliative care:medical treatment ± other local treatments\")\n AD(\"Adjusted neoadjuvant chemotherapy regimen ± arterial embolization therapy ± neoadjuvant radiotherapy\")\n\n A --> B\n A --> C\n A --> D\n B --- D\n C --- D\n D --> E\n D --> H\n E --> F\n F --> G\n H --> I\n I --> J\n J --> K\n K --> M\n K --> N\n M --> Q\n N --> R\n J --> U\n U --> R\n I --> L\n L --> P\n P --> S\n P --> T\n S --> W\n T --> X\n X --> W\n I --> O\n O --> V\n V --> Z\n Z --> AA\n Z --> AB\n Z --> AC\n Z --> AD\n AD --> Z\n AD --> Y\n Y --> R\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/06ceaf2cf6e87145521f7867b69590be.png", "anno": "```mermaid\nflowchart TD\n A@{ shape: circle, label: \" \" }\n B[\"Make an Edit\"]\n C{\"Was the article edited further?\"}\n D([\"Consensus\"])\n E{\"Was the edit a change, or was it a revert?\"}\n F{\"Do you agree with change?\"}\n G{\"Do you agree with the revert?\"}\n H([\"Consensus\"])\n I[\"Think of a reasonable change that might integrate your ideas with theirs.\"]\n J[\"Take it to the Talk Page\"]\n K[\"Find a Reasonable (if temporary) Compromise\"]\n\n A --> B\n B -->|wait| C\n C -->|No| D\n C -->|yes| E\n E -->|change| F\n E -->|revert| G\n F -->|agree| H\n F -->|no agree| I\n G -->|agree| H\n G -->|not agree| J\n J -->|discuss| K\n K -->|implement| B\n I -->|implement| B\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/51b64c4b29c252c1569cb85d63599829.png", "anno": "```mermaid\nflowchart TD\n A(\"Start\")\n B[\"Select training and testing samples and then normalize\"]\n C[\"Select kernel function, initialize population and optimize by PSO\"]\n D[\"Get penalty factor (C) and kernel parameters (γ)\"]\n E[\"Obtain support vectors, nonzero coefficients and constant value, then get PSO-SVM model\"]\n F[\"Validate testing samples and renormalize\"]\n G{\"Accuracy is met\"}\n H[\"Get the optimized PSO-SVM model\"]\n I(\"End\")\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G -->|Yes| H\n G -->|No| C\n H --> I\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a49527848d39176f39c51cd37697d638.png", "anno": "### Production flow chart\n\n```mermaid\nflowchart TD\n A[\"Develop scheduling plans Arrange production plan\"]\n B[\"Confirm mold status\"]\n C[\"Inspection/Maintenance of the production process\"]\n D[\"Final production mold maintenance\"]\n E[\"Fill mold condition record /storage\"]\n F[\"Mold to be produced\"]\n G[\"Materials purchased\"]\n H[\"Preheating equipment\"]\n I[\"Pre process record / Reference\"]\n J[\"Process adjustment\"]\n K[\"Random process adjustment\"]\n L[\"According to the size of the drawings\"]\n M[\"Product forming\"]\n N[\"Size detection\"]\n O[\"Track inspection record\"]\n P[\"Record file\"]\n Q[\"The placement of semi- finished products\"]\n R[\"delivery of cargo from storage\"]\n S[\"Shipping method\"]\n T[\"Delivery order with packing details\"]\n U[\"post processing\"]\n V[\"Responsible for post processing position\"]\n W[\"Finished products inspection and storage\"]\n X[\"Fill out the finished product inspection and out of the storehouse\"]\n Y[\"Order /inventory statistics\"]\n Z[\"Inventory statistics report file\"]\n\n A --> B\n B --> C\n B --> F\n C --> D\n D --> E\n F --> H\n G --> H\n H --> J\n I --> J\n K --> J\n J --> M\n L --> M\n N --> M\n M --> O\n O --> P\n O --> Q\n Q --> U\n V --> U\n U --> W\n W --> X\n W --> Y\n X --> T\n Y --> Z\n T --> S\n S --> R\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/5676e3bc898741cb823cdfc4aa7e18d9.png", "anno": "```mermaid\nflowchart TD\n A([\"Prefab Instantiate\"])\n B([\"Awake\"])\n C([\"OnEnable\"])\n D([\"Start\"])\n E@{ shape: text, label: \"· Before the first frame update
· Only if the script instance is enabled\" }\n F([\"FixedUpdate\"])\n G@{ shape: text, label: \"· All physics calculations and updates occur immediately
· Do not need to multiply your value by Time.deltaTime\" }\n H([\"Physics simulation\"])\n I([\"OnEnter/Exit/Stay trigger functions\"])\n J([\"OnEnter/Exit/Stay collision functions\"])\n K([\"Rigidbody interpolation\"])\n L([\"OnMouseDown/Up etc. events\"])\n M([\"Update\"])\n N([\"Animations\"])\n O([\"LateUpdate\"])\n P@{ shape: text, label: \"· One time per frame
· After update finished
· A following third-person camera usually been used\" }\n Q([\"Coroutine\"])\n R([\"yield\"])\n S([\"yield WaitForSeconds[s]\"])\n T([\"yield WaitForFixedUpdate[]\"])\n U(\"yield WWW\")\n V([\"yield StartCoroutine[MyFunc]\"])\n W([\"Rendering\"])\n X([\"OnPreCull\"])\n Y([\"OnBecameVisible/OnBecameInvisible\"])\n Z([\"OnWillRenderObject\"])\n AA([\"OnPreRender\"])\n AB([\"OnRenderObject\"])\n AC([\"OnPostRender\"])\n AD([\"OnRenderImage(Pro only)\"])\n AE([\"OnGUI\"])\n AF([\"OnDrawGizmos\"])\n AG([\"Quitting\"])\n AH([\"OnApplicationQuit\"])\n AI([\"OnDisable\"])\n\n A --> B\n B --> C\n B --> D\n D --- E\n D -->|Multiple times per frame| F\n D -->|One time per frame| M\n F --- G\n F --> H\n H --> I\n I --> J\n J --> K\n K --> L\n M --> N\n N --> O\n O --- P\n O --> Q\n R --> Q\n S --> Q\n T --> Q\n U --> Q\n V --> Q\n Q --> W\n W --> X\n X --> Y\n Y --> Z\n Z --> AA\n AA --> AB\n AB --> AC\n AC --> AD\n AD --> AE\n AE --> AF\n AF --> AG\n AG --> AH\n AH --> AI\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9c9e93ef61b2ce8a4eb3f324de0212dd.png", "anno": "```mermaid\nflowchart TD\n subgraph id1 [\"Carbon emission calculation\"]\n subgraph id2 [\"Statistical data\"]\n A(\"Energy consumption\")\n B(\"Livestock inventory\")\n C(\"Input in agricultural activities\")\n D(\"Area of paddy land\")\n end\n E(\"$$CO_{2}$$ emission\")\n F(\"$$CH_{4}$$ emission\")\n G(\"Energy consumption\")\n H(\"Agricultural activities\")\n I(\"Coal mining\")\n J(\"Rice planting\")\n K(\"Animal husbandry\")\n L([\"Total Carbon emission\"])\n end\n subgraph id3 [\"Terrestrial carbon sink calculation\"]\n subgraph id4 [\"Statistical data\"]\n M(\"Area of grass land\")\n N(\"Area of forest land\")\n O(\"Area of cropland\")\n end\n subgraph id5 [\"Remote sensing and meteorological data\"]\n P(\"Precipitation\")\n Q(\"MODIS NPP\")\n R(\"Temperature\")\n end\n S([\"Inventory method\"])\n T([\"Eddy covariance method\"])\n U([\"Carbon sink of various land use types\"])\n V([\"Net ecosystem productivity (NEP)\"])\n W([\"Terrestrial carbon sink\"])\n end\n X([\"Carbon variation and balance analysis\"])\n Y(\"Stage wise trend analysis\")\n Z(\"Carbon sink ratio (CSR)\")\n\n id2 --> E\n id2 --> F\n E --> G\n E --> H\n F --> I\n F --> J\n F --> K\n G --> L\n H --> L\n I --> L\n J --> L\n K --> L\n id4 --> S\n id5 --> T\n S -->|Carbon absorption factor| U\n T -->|Heterotrophic respiration| V\n U --> W\n V --> W\n L --> X\n W --> X\n X --> Y\n X --> Z\n\n style id2 stroke-dasharray:5 5\n style id4 stroke-dasharray:5 5\n style id5 stroke-dasharray:5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/0fafc34fee2b33df84d9fed1063ba7fc.png", "anno": "```mermaid\nflowchart TD\n subgraph ide1 [\"Water-Energy-Carbon Emission (WEC) nexus of crop production\"]\n subgraph ide2 [\"Water footprint\"]\n subgraph ide3 [\" \"]\n A(\"Humidity\")\n B(\"Temperature\")\n C(\"Wind speed\")\n D(\"Sunshine\")\n end\n E(\"Precipitation\")\n subgraph ide4 [\"Crop water requirement\"]\n F[\"$$ ET_{0} $$\"]\n G[\"$$ K_{c} $$\"]\n end\n subgraph ide5 [\" \"]\n H([\"Blue water\"])\n I([\"Green water\"])\n end\n end\n J[\"Crop production
Water
Energy
Carbon\"]\n subgraph ide6 [\"Energy input & output\"]\n subgraph ide7 [\"Energy input\"]\n K([\"Labor\"])\n L([\"Film\"])\n M([\"Fertilizer\"])\n N([\"Diesel fuel\"])\n O([\"Machinery\"])\n P([\"Seed\"])\n Q([\"Pesticide\"])\n R([\"Irrigation water\"])\n end\n subgraph ide8 [\"Energy output\"]\n S([\"Grain yield\"])\n T([\"Straw yield\"])\n end\n end\n subgraph ide9 [\"Carbon emissions\"]\n U(\"Agricultural activity\")\n V(\"Paddy fields\")\n W(\"Nitrogen fertilizer\")\n subgraph ide10 [\" \"]\n X([\"$$ CO_{2} $$\"])\n Y([\"$$ CH_{4} $$\"])\n Z([\"$$ N_{2}O $$\"])\n end\n end\n end\n subgraph ide11 [\"Quantifying the interaction of WEC nexus\"]\n subgraph ide12 [\"Evaluation indicators\"]\n AA(\"Total water consumption per unit of area\")\n AB(\"Energy input per unit of area\")\n AC(\"Carbon emissions per unit of area\")\n AD(\"Total water consumption per unit of production\")\n AE(\"Energy input per unit of production\")\n AF(\"Carbon emissions per unit of production\")\n end\n AG[\"Coordination mechanism\"]\n AH[\"Indicators normalization\"]\n AI[\"Comprehensive development index\"]\n AJ[\"Coupling degree\"]\n AK[\"Coupling coordination degree\"]\n subgraph ide13 [\"Crops\"]\n AL@{ shape: docs, label: \"Wheat\"}\n AM@{ shape: docs, label: \"Rice\"}\n AN@{ shape: docs, label: \"Cotton\"}\n AO@{ shape: docs, label: \"Maize\"}\n end\n end\n AP{\"Comprehensive evaluation the coupling coordination degree of the WEC system\"}\n\n ide3 --> ide4\n E ~~~|+| ide4\n ide4 ~~~|=| ide5\n ide2 <==> J\n J <==> ide6\n ide2 ==> ide9\n ide6 ==> ide9\n U ==> ide10\n V ==> ide10\n W ==> ide10\n ide1 ==> ide11\n ide12 ==> AG\n ide13 ==> AG\n AG ==> AH\n AH ==> AI\n AI ==> AJ\n AJ ==> AK\n ide11 ==> AP\n\n style ide3 rx:15\n style A fill:color:#000,stroke-dasharray: 10\n style B fill:color:#000,stroke-dasharray: 10\n style C fill:color:#000,stroke-dasharray: 10\n style D fill:color:#000,stroke-dasharray: 10\n style E fill:color:#000,stroke-dasharray: 10\n style ide4 rx:15\n style ide4 fill:color:#000,stroke-dasharray: 10\n style ide6 rx:15\n style ide7 fill:color:#000,stroke-dasharray: 10\n style ide8 fill:color:#000,stroke-dasharray: 10\n style ide9 rx:15\n style ide10 rx:15\n style U fill:color:#000,stroke-dasharray: 10\n style V fill:color:#000,stroke-dasharray: 10\n style W fill:color:#000,stroke-dasharray: 10\n style ide10 fill:color:#000,stroke-dasharray: 10\n style ide12 rx:15\n style AA fill:color:#000,stroke-dasharray: 10\n style AB fill:color:#000,stroke-dasharray: 10\n style AC fill:color:#000,stroke-dasharray: 10\n style AD fill:color:#000,stroke-dasharray: 10\n style AE fill:color:#000,stroke-dasharray: 10\n style AF fill:color:#000,stroke-dasharray: 10\n style AG fill:color:#000,stroke-dasharray: 10\n style AH fill:color:#000,stroke-dasharray: 10\n style AI fill:color:#000,stroke-dasharray: 10\n style AJ fill:color:#000,stroke-dasharray: 10\n style AK fill:color:#000,stroke-dasharray: 10\n style ide13 rx:15\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9d4e70442f06efaab99cfc607effabc5.png", "anno": "```mermaid\nflowchart TD\n A[(\"SQL\")]\n B@{ shape: text, label: \"OMOP\" }\n subgraph id1[\"2.9 Million EHRs\"]\n C(\"Demographic\")\n D(\"Diagnose\")\n E(\"Medication\")\n F(\"Encounter\")\n G(\"Lab\")\n H(\"Notes\")\n end\n I[\"Eligible patients\"]\n J[\"Variable extraction
(Structured query + NLP)\"]\n K[\"Randomly splitting into training and testing sets\"]\n L[\"WCM data
Training (80%)
(5-fold cross validation)\"]\n M[\"Grid Search\"]\n N[\"Sequential Forward
Selection\"]\n O[\"Model Training\"]\n subgraph id2[\" \"]\n P(\"Logistic Regression\")\n Q(\"Random Forest\")\n R(\"Decision Tree\")\n S(\"Extreme Gradient Boosting\")\n end\n T(\"Multilayer Perceptron*\")\n U[\"Clinical Validation\"]\n V[\"Complete\"]\n W@{ shape: doc, label: \"WCM data Testing (20%)\" }\n X@{ shape: doc, label: \"CDRN data Testing (100%)\" }\n subgraph id3[\" \"]\n Y(\"AUC\")\n Z(\"Sensitivity\")\n AA(\"Specificity\")\n AB(\"Brier Score\")\n end\n\n A --> C\n B ~~~ A\n A --> D\n A --> E\n A --> F\n A --> G\n A --> H\n C ~~~ id1\n id1 --> I\n I --> J\n J --> K\n K --> L\n L --> M\n M --> N \n N --> O\n O --> U\n P ~~~ Q\n Q ~~~ R\n R ~~~ S\n id2 -.- M\n id2 -.- O\n L -.- T\n T -.- U\n U --> |1. If all variables are valid
2. If predetermined maximum number of feature set are reached| V\n U -->|Else| O\n K --> W\n U --> W\n J --> X\n U --> X\n W -.- X\n X -.- id3\n Y ~~~ Z\n Z ~~~ AA\n AA ~~~ AB\n\n style id2 stroke-dasharray: 5 5\n style id3 stroke-dasharray: 5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/27b7e646923e12c5df008f3de5d24720.png", "anno": "```mermaid\nflowchart TD\n A(\"Program Kickoff Meeting\")\n B[\"Legal Requirements and Regulations OHS;
Ford WSS-M99P9999-A1;
Chrysler CS-9003 and CS-11;
GM MAT spec.\"]\n C{\"B2P\"}\n D(\"APQP Phase 3\")\n E(\"Prepare
Program Plan\")\n F(\"Design Work (MTC)\")\n G(\"CTS (Component Test Specification)(MTC)\")\n H(\"DFMEA (MTC)\")\n I(\"(Chrysler: PSO, Balance Score Card, PAP4CDS) (Ford: GPDS)
(Ford: GPDS)\")\n J(\"Develop DVPR\")\n K(\"CCC certified parts must comply to GB15086\")\n L(\"FEA ETC. Analysis (MTC)\")\n M(\"Build Test Parts.\")\n N(\"Preliminary Testing\")\n O{\"Test Results Acceptable\"}\n P(\"Drawing Design GD&T review\")\n Q(\"Concept Review (MTC)\")\n R(\"Process/Tooling Design\")\n S@{ shape: doc, label: \"TS11 Process-Tooling Design\" }\n T(\"Build Test Parts C/W\")\n U(\"Testing Design Validation\")\n V(\"Verify Design Output meets Design Requirements\")\n W(\"Prototype Release to Production Drawing Release\")\n\n A --> C\n B ~~~ C\n C -->|Yes| D\n C -->|No| E\n E --> F\n F --> G\n F --> H\n H ~~~ I\n G --> J\n J ~~~ K\n J --> L\n L --> M\n M --> N\n N --> O\n O -.->|No| F\n O -->|Yes| P\n N --> P\n P --> Q\n Q --> R\n R ~~~ S\n R --> T\n T --> U\n U --> V\n V --> W\n\n style B stroke-dasharray: 5 5\n style I stroke-dasharray: 5 5\n style K stroke-dasharray: 5 5\n style W stroke-dasharray: 5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/405ddcbfffaa39e783073e2092abafad.png", "anno": "```mermaid\nflowchart TD\n A[\"Contract\"]\n B[\"Project organization structure (management duty)\"]\n C[\"Examine unverified drawings\"]\n D[\"Quality policy goal measure\"]\n E[\"Constriction organization design\"]\n F[\"Construction schema planning\"]\n G[\"Error\"]\n H[\"Correct\"]\n I[\"Variations design\"]\n J[\"Progress schema planning\"]\n K[\"Labor planning\"]\n L[\"Materials purchasing planning\"]\n M[\"Purchasing equipment planning\"]\n N[\"Contract team\"]\n O[\"Purchasing\"]\n P[\"Abolish, change, effectivelyused\"]\n Q[\"Determine by yourself\"]\n R[\"Determine biopolymer\"]\n S[\"Checking certification and testing planning arrangement\"]\n T[\"Checking evolution\"]\n U[\"Unpacks\"]\n V[\"Pass\"]\n W[\"Improper\"]\n X[\"Proper\"]\n Y[\"Mark\"]\n Z[\"Education training\"]\n AA[\"Quality controlling during construction\"]\n AB[\"Check, test, suveyequipment controlling\"]\n AC[\"Construction checking and testing\"]\n AD[\"Evolution\"]\n AE[\"Move, store, protection\"]\n AF[\"Progress controlling\"]\n AG[\"Mark\"]\n AH[\"Checking\"]\n AI[\"Improper controlling and treatment\"]\n AJ[\"Correct and precautionary measure\"]\n AK[\"Turn over and servicing quality controlling for employer\"]\n\n A --- B\n B --- C\n B --- D\n B --- E\n C --- G\n C --- H\n D --- F\n E --- F\n C --- F\n F --- J\n F --- K\n F --- L\n F --- M\n G --- I\n H --- P\n K --- N\n N --- Q\n N --- R\n N --- U\n O --- S\n O --- W\n Q --- T\n R --- T\n T --- V\n V --- Z\n I --- P\n U ---V\n L --- O\n M --- O\n S --- X\n W --- X\n X --- Y\n P --- AA\n Y --- AA\n Z --- AA\n AA --- AB\n AA --- AC\n AA --- AD\n AA --- AE\n AA --- AF\n AB --- AG\n AC --- AG\n AD --- AG\n AE --- AG\n AF --- AG\n AG --- AH\n AH --- AI\n AI --- AJ\n AJ --- AK\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/60d1245f57ca5fe4f491cdc969c0f2a6.png", "anno": "```mermaid\nflowchart TD\n A[\"Pre-trained Dataset
(Dataset 1)\"]\n B[\"Training cohort
(N=50)\"]\n C[\"Validation cohort
(N = 10)\"]\n D[\"Testing cohort
(N = 20)\"]\n E[\"3D CNN\"]\n F[\"Pre-trained Model\"]\n G[\"Host Dataset i
(i =2,3,4,5)\"]\n H[\"Training cohort
(N=10,20,30,40,50)\"]\n I[\"Validation cohort
(N = 10)\"]\n J[\"Testing cohort
(N = 20)\"]\n K[\"Pre-trained Model\"]\n L[\"Adaptive Models\"]\n\n A --> B\n A --> C\n A --> D\n B --> E\n C --> E\n D --> F\n E --> F\n G --> H\n G --> I\n G --> J\n E --> K\n H --> K\n I --> K\n K --> L\n J --> L\n```\n\n\n```mermaid\nflowchart TD\n A[\"Host Dataset i
(i =2,3,4,5)\"]\n B[\"Training cohort
(N=10,20,30,40,50)\"]\n C[\"Validation cohort
(N = 10)\"]\n D[\"Testing cohort
(N = 20)\"]\n E[\"3D CNN\"]\n F[\"Models Training
From Scratch\"]\n \n A --> B\n A --> C\n A --> D\n B --> E\n C --> E\n E --> F\n D --> F\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9faa7c0b166e8270d62c65ddc006abe4.png", "anno": "```mermaid\nflowchart TD\n A[\"Establish agreed-upon roles\"]\n B[\"Allocate or apply for sustained funding\"]\n C[\"Define recovery indicators\"]\n D[\"Determine recovery benchmarks and evaluation process\"]\n E[\"Expand and stregthen existing flood risk reduction actions\"]\n F[\"Identify EO-based proxies\"]\n G[\"Generate pipeline to process EO data\"]\n H[\"Develop algorithm\"]\n I[\"Validate algorithm\"]\n J[\"Collect non-EO data to supplement and contexualize EO-based recovery proxy\"]\n K[\"Construct pre-flood baseline trends\"]\n L[\"Archive pipeline\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n C -.-> F\n F --> G\n G --> H\n H --> I\n I --> J\n J --> K\n K --> L\n```\n\n\n```mermaid\nflowchart TD\n A[\"Monitor post-flood recovery\"]\n B[\"Evaluate recovery benchmarks and identify differential recovery progress\"]\n C[\"Seek remedy to inequitable recovery and enforce distributional accountability\"]\n\n A --> B\n B --> C\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/deb52faf819d09760e1fa3dbebec4dd6.png", "anno": "```mermaid\nflowchart TD\n A([\"Start\"])\n B[/\"Read rainfall and spatial data\"/]\n C[\"Data processing and cellular initialization\"]\n D[/\"Input para. list\"/]\n E{\"Iteration=1:T
(T=time/interval)\"}\n F{\"For x=2: columns-1
For y=2:rows-1\"}\n G{\"the cell isn't
no data,building or
viaduct\"}\n H@{shape: subproc, label: \"Compute S(c)and I(c)by cover, h(c,t)=r(c,t)-S(c)-I(c)\"}\n I@{shape: subproc, label: \"Compute sl(c,t)and g(c,t) by cover and gully conditions, h(c,t)=h(c,t)-sl(c,t)-g(c,t)\"}\n J@{shape: subproc, label: \"Computing flow direction and velocity(v) from central cell to neighbors\"}\n K{\"L/v>=Interval or 1.414*L/V>=interval\"}\n L[/\"reset interval and recompute\"/]\n M[/\"Calculating the outflow\"/]\n N@{shape: subproc, label: \"Compute
Re=(v*h(c,t)/μ)\"}\n O{\"Re>4000\"}\n P@{shape: subproc, label: \"distributing water on 9 cells to minimize water surface height\"}\n Q[\"Update Depth H(c,t)\"]\n R{\"End x,y\"}\n S{\"End Iteration\"}\n T[\"Extract flood areas and output depth grid at one time\"]\n U{\"Results are validated by comparing with observed data\"}\n V([\"End\"])\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G -->|Yes| H\n G -->|No| F\n H --> I\n I --> J\n J --> K\n K -->|No| L\n K -->|Yes| M\n M --> N\n N --> O\n O -->|Yes| P\n O -->|No| Q\n P --> Q\n Q --> R\n R -->|Yes| S\n R -->|No| F\n S -->|Yes| T\n S -->|No, new lteration| E\n T -->|No, Revising paras| U\n U --> D\n U -->|Yes| V\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/afefb51de8c5f376f9f3c2a0da521dad.png", "anno": "```mermaid\nflowchart TD\n A[\"Parameter selection andpreliminary work\"]\n B[\"Performance tests(experimental work)\"]\n C[\"Asphalt binders'sample preparationand tests\"]\n D[\"Asphalt mixtures' samplepreparation andperformance tests\"]\n E[\"Control binder(PEN 60/70)\"]\n F[\"Foamed binders:methanol foamed asphaltbinder with and without latex\"]\n G[\"Control mixture(HMA)\"]\n H[\"Foamed mixture (WMA):methanol foamed asphaltmixture with and without latex\"]\n I[\"Binder tests
- Expansion ratio and half
-life- Rotational viscosity
- Softening point
- Torsional recovery
- Dynamic shear rheometer\"]\n J[\"Mixture tests
- Workability index
- Compaction energy index
- Indirect tensile strength
- Resilient modulus\"]\n K[\"Data analysis\"]\n\n A --> B\n B --> C\n B --> D\n C --> E\n C --> F\n D --> G\n D --> H\n E --> I\n F --> I\n G --> J\n H --> J\n I --> K\n J --> K\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/ed6f148ec290372097bfe03403c86744.png", "anno": "```mermaid\nflowchart TD\n subgraph ide1 [\"Lathe Machining By Subcontractor\"]\n A[\"Raw Material Purchase\"]\n B{\"Raw Material Receiving\"}\n C[\"Lathe Machining By Subcantractor\"]\n D{\"Rough Ring Receiving\"}\n E[\"Storage\"]\n end\n subgraph ide2 [\"Heat treatment\"]\n F[\"Take Material\"]\n G[\"Cleaning\"]\n H[\"Dry\"]\n I[\"Quenching\"]\n J[\"Temper\"]\n K{\"Inspection\"}\n end\n subgraph ide3 [\"Grinding\"]\n L[\"Take Material\"]\n M[\"Plane\"]\n N{\"Inspection\"}\n O[\"Outer Diameter\"]\n P{\"Inspection\"}\n Q[\"Polishing\"]\n R[\"Finishing Outer\"]\n S{\"Inspection\"}\n T[\"Take Material\"]\n U[\"Inner Ring\"]\n V[\"Bore Grinding\"]\n W{\"Inspection\"}\n X[\"Polishing\"]\n Y[\"Raceway Grinding\"]\n Z[\"Raceway Grinding\"]\n AA{\"Inspection\"}\n AB[\"Take Material\"]\n AC[\"Raceway Super\"]\n AD{\"Inspection\"}\n AE[\"Outer Ring\"]\n AF[\"Raceway Material\"]\n AG{\"Inspection\"}\n AH[\"Polishing\"]\n AI[\"Raceway Super\"]\n AJ{\"Inspection\"}\n AK[\"Polishing\"]\n AL[\"Raceway Super\"]\n AM{\"Inspection\"}\n AN[\"Take Material\"]\n AO[\"Outer Diameter Polishing\"]\n AP{\"Inspection\"}\n AQ[\"Raceway Super Finishing\"]\n AR{\"Inspection\"}\n AS[\"Take Material\"]\n AT[\"Outer Diameter Polishing\"]\n AU{\"Inspection\"}\n end\n subgraph ide4 [\"Assembly\"]\n AV[\"Take Material\"]\n AW[\"Demagnetizing\"]\n AX[\"Cleaning\"]\n AY{\"Semi Finished Product Inspection\"}\n AZ[\"Assembly\"]\n BA[\"Cage Pressing\"]\n BB[\"Demagnetizing\"]\n BC[\"Cleaning\"]\n BD{\"Finished Product Inspection\"}\n BE[\"Demagnetizing Cleaning\"]\n BF[\"Grease Filling and Shield(seal) Pressing\"]\n BG{\"Vibration Test\"}\n BH{\"Shielded(sealed) Product Inspection\"}\n BI[\"Packing\"]\n BJ{\"Final Inspection\"}\n BK[\"Storage\"]\n BL{\"Delivery Inspection\"}\n BM[\"Delivery\"]\n end\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G --> H\n H --> I\n I --> J\n J --> K\n K --> L\n L --> M\n M --> N\n M -->|d <= Φ8mm| Q\n N --> O\n O --> P\n P --> R\n Q --> O\n R --> S\n S --> T\n T --> U\n U --> V\n V --> W\n W -->|d <= Φ8mm| X\n X --> Y\n W -->|d >= Φ9mm| Z\n Y --> AA\n Z --> AA\n AA --> AB\n AB --> AC\n AC --> AD\n AD --> AV\n T --> AE\n AE --> AF\n AF --> AG\n AG -->|D <= Φ18mm| AH\n AG -->|D <= Φ24mm| AK\n AG -->|D <= Φ26mm| AQ\n AH --> AI\n AI --> AJ\n AJ --> AV\n AK --> AL\n AL --> AM\n AM --> AN\n AN --> AO\n AO --> AP\n AP --> AV\n AQ --> AR\n AR --> AS\n AS --> AT\n AT --> AU\n AU --> AV\n AV --> AW\n AW --> AX\n AX --> AY\n AY --> AZ\n AZ --> BA\n BA --> BB\n BB --> BC\n BC --> BD\n BD --> BE\n BE --> BF\n BF --> BG\n BG --> BH\n BH --> BI\n BI --> BJ\n BJ --> BK\n BK --> BL\n BL --> BM\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/c6ecef24e05ed3e145abf71e209b1c23.png", "anno": "```mermaid\nflowchart TD\n subgraph ide1 [Step1:The supply-demand balance of ESs]\n subgraph ide2 [Ecosystem services types]\n A[\"Water yield\"]\n B[\"Soil Conservation\"]\n C[\"Carbon sequestration\"]\n D[\"Recreation and leisure\"]\n end\n E[\"Ecosystem service demand (ED)\"]\n F[\"Ecosystem service supply (ES)\"]\n G[\"Supply- demand ratio (ES/ED)\"]\n H[\"Overall imbalance\"]\n I[\"Structural imbalance\"]\n end\n subgraph ide3 [Step2: The adjust factors based on ESs scarcity]\n J[\"Scarcity Theory
The server imbalance, the higher priority/urgency\"]\n K[\"Weights among sub-regions
UEP: the urgency index of sub-regional ecological protection\"]\n L[\"Weights among ESs types
PET: the priority index of each ESs type in sub-region\"]\n end\n M[\"Ecological Sensitivity Assesment
(terrain, soil, climate, vegetation and human activities factors)\"]\n subgraph ide4 [Step3: Ecosystem service scarcity supply capacity （ESSSC）]\n N[\"$$ESSSC_{i}=UEP_{j}\\sum\\limits_{m=1}^{n}(PET_{jm}\\times ES_{im})$$\"]\n O@{shape: text, label: \"ESSSC in the pixel i is determined by ESs supply in the pixel i with PET as the weight of single ESs type m in the sub-region j and then UEP as the weight of the total supply in the sub-region j.\"}\n end\n subgraph ide5 [ ]\n P[\"Extremely sensitive areas
(the first two level of ecological sensitivity)\"]\n Q[\"Extremely important areas of ESs supply
(the first two level of ESSSC)\"]\n R[\"Important water areas
($$\\gt10km^{2}$$ of water area)\"]\n end\n subgraph ide6 [Step4: Construction of ESP]\n S[\"Ecological resistance surface
(resistance coefficients of land use types)\"]\n subgraph ide7 [ ]\n T[\"Identify ecological sources\"]\n U[\"Extract ecological corridors\"]\n V[\"Extract ecological nodes\"]\n end\n W[\"Ecological security patterns (ESP)\"]\n end\n\n A --> E\n B --> E\n C --> E\n D --> E\n A --> F\n B --> F\n C --> F\n D --> F\n E --> G\n F --> G\n F --> N\n G --> H\n G --> I\n H --> K\n I --> L\n ide1 --> ide3\n ide1 --> ide4\n J --> K\n J --> L\n M --> P\n ide3 --> N\n ide4 --> Q\n ide4 --> ide6\n ide5 --> T\n S -->|MCR| U\n S --> V\n T --> U\n U -->|Barrier point| V\n ide7 --> W\n \n style ide1 stroke-dasharray: 5 5\n style ide2 stroke-dasharray: 2 2\n style ide3 stroke-dasharray: 5 5\n style ide4 stroke-dasharray: 5 5\n style ide5 stroke-dasharray: 2 2\n style ide6 stroke-dasharray: 5 5\n style ide7 stroke-dasharray: 2 2\n```\n\n\n```mermaid\nflowchart TD\n subgraph ide1 [Carbon emission calculation]\n subgraph ide2 [Statistical data]\n A(\"Energy consumption\")\n B(\"Livestock inventory\")\n C(\"Input in agricultural activities\")\n D(\"Area of paddy land\")\n end\n E(\"$$CO_{2}$$ emission\")\n F(\"$$CH_{4}$$ emission\")\n G(\"Energy consumption\")\n H(\"Agricultural activities\")\n I(\"Coal mining\")\n J(\"Rice planting\")\n K(\"Animal husbandry\")\n L([\"Total Carbon emission\"])\n end\n subgraph ide3 [Terrestrial carbon sink calculation]\n subgraph ide4 [Statistical data]\n M(\"Area of grass land\")\n N(\"Area of forest land\")\n O(\"Area of cropland\")\n end\n subgraph ide5 [Remote sensing and meteorological data]\n P(\"Precipitation\")\n Q(\"MODIS NPP\")\n R(\"Temperature\")\n end\n S([\"Inventory method\"])\n T([\"Eddy covariance method\"])\n U([\"Carbon sink of various land use types\"])\n V([\"Net ecosystem productivity (NEP)\"])\n W([\"Terrestrial carbon sink\"])\n end\n X([\"Carbon variation and balance analysis\"])\n Y(\"Stage wise trend analysis\")\n Z(\"Carbon sink ratio (CSR)\")\n\n ide2 --> E\n ide2 --> F\n E --> G\n E --> H\n F --> I\n F --> J\n F --> K\n G --> L\n H --> L\n I --> L\n J --> L\n K --> L\n L --> X\n ide4 --> S\n ide5 --> T\n S -->|Carbon absorption factor| U\n T -->|Heterotrophic respiration| V\n U --> W\n V --> W\n W --> X\n X --> Y\n X --> Z\n\n style ide2 stroke-dasharray: 5 5\n style ide4 stroke-dasharray: 5 5\n style ide5 stroke-dasharray: 5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/8142ae4f4560384f1d7c6853b017cba4.png", "anno": "```mermaid\nflowchart TD\n A[\"Submit the overall outreach program\"]\n B{\"Review the overall outreach program\"}\n C[\"Work out the media outreach program\"]\n D[\"Work out the media outreach program\"]\n E{\"Review the media outreach program\"}\n F[\"Concretize the media outreach program\"]\n G[\"Maintain the media outreach program\"]\n H[\"Work out the lecture outreach program\"]\n I{\"Review the lecture outreach program\"}\n J[\"Concretize the lecture outreach program\"]\n K[\"Maintain the lecture outreach program\"]\n L[\"Work out the email outreach program\"]\n M{\"Review the email outreach program\"}\n N[\"Concretize the email outreach program\"]\n O[\"Maintain the email outreach program\"]\n P[\"Work out the SMS outreach program\"]\n Q{\"Review the SMS outreach program\"}\n R[\"Concretize the SMS outreach program\"]\n S[\"Maintain the SMS outreach program\"]\n\n A --> B\n B -->|NO| A\n B -->|YES| C\n C --> D\n C --> H\n C --> L\n C --> P\n D --> E\n E -->|NO| D\n E -->|YES| F\n F --> G\n H --> I\n I -->|NO| H\n I -->|YES| J\n J --> K\n L --> M\n M -->|NO| L\n M -->|YES| N\n N --> O\n P --> Q\n Q -->|NO| P\n Q -->|YES| R\n R --> S\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9c503e83464efd96a60f79583e74d303.png", "anno": "```mermaid\nflowchart TD\n subgraph ide1 [\"Pre-Flood years, months prior\"]\n subgraph ide2 [\"Planning Phase\"]\n A[\"Establish agreed-upon roles\"]\n B[\"Allocate or apply for sustained funding\"]\n C[\"Define recovery indicators\"]\n D[\"Determine recovery benchmarks and evaluation process\"]\n E[\"Expand and stregthen existing flood risk reduction actions\"]\n end\n subgraph ide3 [\"Testing Phase\"]\n F[\"Identify EO-based proxies\"]\n G[\"Generate pipeline to process EO data\"]\n H[\"Develop algorithm\"]\n I[\"Validate algorithm\"]\n J[\"Collect non-EO data to supplement and contexualize EO-based recovery proxy\"]\n K[\"Construct pre-flood baseline trends\"]\n L[\"Archive pipeline\"]\n end\n end \n subgraph ide4 [\"Post-Flood years, months, days post\"]\n subgraph ide5 [\"Implementation Phase ($$\\mathit{triggered\\ by\\ flood}$$)\"]\n M[\"Monitor post-flood recovery\"]\n N[\"Evaluate recovery benchmarks and identify differential recovery progress\"]\n O[\"Seek remedy to inequitable recovery and enforce distributional accountability\"]\n end\n end\n subgraph ide6 [\"Knowledge Appraisal Phase\"]\n P[\"Refine framework\"]\n Q[\"Strengthen theories of flood recovery\"]\n end\n \n ide1 ~~~ ide2\n ide1 ~~~ ide3\n ide1 ~~~ ide4\n A --> B\n B --> C\n C --> D\n C -.-> F\n D --> E\n F --> G\n G --> H\n H --> I\n I --> J\n J --> K\n K --> L\n ide4 ~~~ ide5\n M --> N\n N --> O\n ide6 ~~~ ide2\n ide6 ~~~ ide3\n ide6 ~~~ ide5\n```\n\n\n```mermaid\nflowchart TD\n subgraph ide1 [\" \"]\n A[\"In-situ data from weather stations\"]\n B[\"Land-Use and Land-Cover Change data\"]\n C[\"Remotely sensed and reanalysis data\"]\n D[\"Data collection and preprocessing\"]\n end\n subgraph ide2 [\" \"]\n E[\"Land use data\"]\n F[\"Split of study period\"]\n G[\"Dynamic classification of urban and rural stations\"]\n subgraph ide3 [\" \"]\n H[\"Rainfall\"]\n I[\"Temperature\"]\n subgraph ide4 [\" \"]\n J[\"Definitions of rainfall indices in different intensity\"]\n K[\"Definitions of diverse drought indices\"]\n end\n end\n end\n subgraph ide5 [\" \"]\n L[\"Sen's Slope\"]\n M[\"Mann - Kendall Trend Test\"]\n N[\"Calculation of trend for various rainfall and drought series\"]\n subgraph ide6 [\" \"]\n O[\"Quantification of Urban effects\"]\n P[\"Quantification of Urban Contribution\"]\n end\n end\n subgraph ide7 [\" \"]\n subgraph ide8 [\" \"]\n Q[\"UHI\"]\n R[\"UDI\"]\n S[\"Multiple factors\"]\n T[\"Regression analysis and correlation analysis\"]\n U[\"Statistical based potential mechanism exploration\"]\n end\n subgraph ide9 [\" \"]\n V[\"WRF hydrological model\"]\n W[\"Processed land use and topography data\"]\n X[\"Design experiments in different scenarios\"]\n Y[\"Physical based potential mechanism exploration\"]\n end\n end\n \n A --> D\n B --> D\n C --> D\n ide1 ==> ide2\n ide1 ==> ide5\n E --> G\n F --> G\n H --> ide4\n I --> ide4\n ide2 ==> ide5\n ide5 ==> ide7\n ide2 ==> ide7\n L --> N\n M --> N\n N --> ide6\n Q --> T\n R --> T\n S --> T\n T --> U\n V --> X\n W --> X\n X --> Y\n \n style ide3 stroke-dasharray: 5 5\n style ide4 stroke-dasharray: 5 5\n style ide6 stroke-dasharray: 5 5\n style ide8 stroke-dasharray: 5 5\n style ide9 stroke-dasharray: 5 5\n```\n\n\n```mermaid\nflowchart TD\n subgraph ide1 [\"Scenario Setting\"]\n subgraph ide2 [\"Climate policy\"]\n A(\"Nationally Determined Contributions\")\n B(\"Net-Zero Emissions\")\n end\n subgraph ide3 [\"Air pollution policy\"]\n C(\"Current Legislation\")\n D(\"Maximum Feasible Reductions\")\n end\n end\n subgraph ide4 [\"Point Source Plants\"]\n E(\"Location\")\n F(\"Capacity\")\n G(\"Age\")\n H(\"Process type\")\n end\n subgraph ide5 [\"Technology Modeling\"]\n subgraph ide6 [\"MESSAGEix_China\"]\n I(\"Resources endowments\")\n J(\"Energy end-use demand\")\n K(\"Energy conversion\")\n L(\"Technological change\")\n end\n end\n subgraph ide7 [\"Air Pollution Modeling\"]\n subgraph ide8 [\"GAINS\"]\n M(\"Socio-economic development\")\n N(\"Emission control measures\")\n O(\"Emissions\")\n P(\"Cost\")\n Q(\"Atmospheric chemical transport\")\n R(\"Air pollution co-benefits\")\n end\n end\n\n ide2 ==>|Scenario input| ide4\n ide4 ==>|Downscale| ide5\n ide6 ==>|Energy structure| ide8\n M --> N\n N --> O\n N --> P\n O --> Q\n Q --> R\n \n style ide1 stroke-dasharray: 5 5\n style ide4 stroke-dasharray: 5 5\n style ide5 stroke-dasharray: 5 5\n style ide7 stroke-dasharray: 5 5\n```\n\n\n```mermaid\nflowchart TD\n subgraph ide1 [\"Hydrological model calibration\"]\n A[\"(1) Observational streamflow
(2) ERA5-Land dataset
(3) MSWEP-V2\"]\n B[\"Five hydrological models\"]\n C[\"Maximum KGE value\"]\n end\n subgraph ide2 [\"Hydrological simulation\"]\n D[\"ISIMIP3b outputs\"]\n E[\"Streamflow simulation and projection\"]\n F[\"Flood peak and duration extraction\"]\n end\n subgraph ide3 [\"Global warming extraction\"]\n G[\"Time-sampling method\"]\n H[\"Multi-model ensemble 30-year mean\"]\n I[\"Different global warming levels\"]\n end\n subgraph ide4 [\"Bivariate analysis\"]\n J[\"Bivariate joint distribution model\"]\n K[\"Most likely realization method\"]\n L[\"Future JRP change and flood risk\"]\n end\n subgraph ide5 [\"Uncertainty analysis\"]\n M[\"Seven uncertainty sources\"]\n N[\"ANOVA method\"]\n O[\"Uncertainty contributions\"]\n end\n \n A --> B\n B --> C\n ide1 ==> ide2\n D --> E\n D --> G\n E --> F\n F --> J\n ide2 ==> ide3\n G --> H\n H --> I\n I --> J\n ide3 ==> ide4\n J --> K\n K --> L\n ide4 ==> ide5\n M --> N\n N --> O\n \n style ide1 stroke-dasharray: 5 5\n style ide2 stroke-dasharray: 5 5\n style ide3 stroke-dasharray: 5 5\n style ide4 stroke-dasharray: 5 5\n style ide5 stroke-dasharray: 5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d70ac4d0e5ebc3320559c6a2bd792173.png", "anno": "```mermaid\nflowchart TD\n A([\"checkVersion()\"])\n B[\"initiate test version request:MobAgentPolicy.checkVersion()\"]\n C{\"SDK internal, network request\"}\n D[\"discover new version and successful callback\"]\n E[\"error callback for error code\"]\n\n A --> B\n B --> C\n C -->|success| D\n C -->|fail| E\n```\n\n\n```mermaid\nflowchart TD\n A([\"startDownloading()\"])\n B{\"configure only WiFi\"}\n C{\"connection with Wifi\"}\n D([\"end\"])\n E{\"check and configure storage size\"}\n F([\"end\"])\n G{\"downloading\"}\n H([\"end\"])\n I[\"send download request:DLService.start()\"]\n J{\"download upgrade package in SDK\"}\n K([\"download error callback\"])\n L{\"download and finish callback, configure automatically upgrade\"}\n M([\"end\"])\n N([\"rebootUpgrade()\"])\n O{\"Configure minimum power and meet requirements\"}\n P([\"end\"])\n Q[\"notify reboot.apk to upgrade system\"]\n R[\"recovery upgrade\"]\n S{\"finish upgrade and boot and new version\"}\n T([\"pop-up dialog and prompt user\"])\n\n A --> B\n B -->|true| C\n C -->|false| D\n B --> E\n C --> E\n E -->|false| F\n E --> G\n G -->|false| H\n G --> I\n I --> J\n J -->|false| K\n J ~~~|success| L\n L -->|false| M\n L --> N\n N --> O\n O -->|false| P\n O --> Q\n Q --> R\n R --> S\n S -->|false| T\n S -->|true| T\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9fd1f9662bb5c120f26fbdfe8fe55bb6.png", "anno": "```mermaid\nflowchart TD\n A([\"Start\"])\n B[\"Login Page:
User enters
login/pass\"]\n C{\"Login info correct?\"}\n D[\"Password Reset:
User enters
email address\"]\n E{\"Email matches DB record?\"}\n F[\"Reenter email address\"]\n G{\"Email matches DB record?\"}\n H[[\"Registration Process\"]]\n I[\"Reset email
sent: user
clicks link to reset\"]\n J[\"Enter new password\"]\n K[\"Confirmation\"]\n L[\"View account details\"]\n M[\"Pay credit card\"]\n N{\"Pay which amount?\"}\n O[\"If payment is less than minimum due, show notice.\"]\n P[\"Option to select different amount\"]\n Q[\"Select payment account\"]\n R[\"Select payment post date\"]\n S[\"Review and submit\"]\n T[\"Confirmation\"]\n U([\"End\"])\n\n A --- B\n B --> C\n C ---|Login/pass correct| L\n C ---|Login/pass incorrect| D\n D --- E\n E ---|Email matches DB| I\n E ---|Email doesn't match| F\n F --- G\n G ---|Email matches DB| I\n G ---|Email doesn't match| H\n I --- J\n J --- K\n K --> B\n L --- M\n M --- N\n N ---|Other amount| O\n N ---|Minimum payment due| Q\n N ---|Balance| Q\n O --- P\n P --- Q\n Q --- R\n R --- S\n S --- T\n T --- U\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/49f20334050b0951cbcc4a1e2dd587c0.png", "anno": "```mermaid\nflowchart TD\n A[\"Parameter selection andpreliminary work\"]\n B[\"Performance tests(experimental work)\"]\n C[\"Asphalt binders'sample preparationand tests\"]\n D[\"Asphalt mixtures' samplepreparation andperformance tests\"]\n E[\"Control binder(PEN 60/70)\"]\n F[\"Foamed binders:methanol foamed asphaltbinder with and without latex\"]\n G[\"Control mixture(HMA)\"]\n H[\"Foamed mixture (WMA):methanol foamed asphaltmixture with and without latex\"]\n I[\"Binder tests
- Expansion ratio and half
-life- Rotational viscosity
- Softening point
- Torsional recovery
- Dynamic shear rheometer\"]\n J[\"Mixture tests
- Workability index
- Compaction energy index
- Indirect tensile strength
- Resilient modulus\"]\n K[\"Data analysis\"]\n\n A --> B\n B --> C\n B --> D\n C --> E\n C --> F\n D --> G\n D --> H\n E --> I\n F --> I\n G --> J\n H --> J\n I --> K\n J --> K\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d6be837f1f932ca24a753f5c97580902.png", "anno": "```mermaid\nflowchart TD\n A[\"Laying track way of building a bridge machine\"]\n B[\"Fabricated\"]\n C[\"Surveying abutment cap top and laying out\"]\n D[\"Hanging beam with gantry crane\"]\n E[\"Hanging beam longitudinally move to place\"]\n F[\"Falling beam horizontally move to place\"]\n G[\"Laying bearing\"]\n H[\"Checking bearing\"]\n I[\"Tying reinforcement for cross-place\"]\n J[\"Reinforcement fabricated\"]\n K[\"Set up form and grouting concrete\"]\n L[\"Mixing and conveying concrete\"]\n M[\"Tying reinforcement for protecting railing\"]\n N[\"Mixing and conveying concrete\"]\n O[\"Set up form and grouting concrete for protection railing\"]\n P[\"Do waterproofing layer and installing expansion joint\"]\n Q[\"Pawing alphas concrete\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n H --> G\n G --> I\n J --> I\n I --> K\n L --> K\n K --> M\n N --> M\n M --> O\n O --> P\n P --> Q\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d91b6c21dc1e2148184485ffaf86070e.png", "anno": "Primary request flow\nControl routing\nAnalytics path\nEvent stream\n\n```mermaid\nflowchart TD\n subgraph id1 [\"01 // EDGE\"]\n A(\"TRAFFIC
Client Apps\")\n B(\"EDGE
API Gateway\")\n C(\"GUARD
Auth / Policy\")\n end\n subgraph id2 [\"02 // APPLICATION SERVICES\"]\n D(\"SERVICE
Order Service\")\n E(\"SERVICE
Catalog Service\")\n F(\"SERVICE
Billing Service\")\n G(\"STREAM
Event Router\")\n end\n subgraph id3 [\"03 // DATA + EVENT INFRA\"]\n H[\"Postgres
orders\"]\n I[\"LOW LATENCY
Redis Cache\"]\n J[\"Warehouse
analytics\"]\n end\n subgraph id4[\"04 // OBSERVABILITY\"]\n K(\"OPS
Metrics or / Traces\")\n end\n\n A --> B\n B --> C\n B -->|route| D\n B --> E\n B --> F\n D -.-> G\n E -.-> G\n F -.-> G\n D --> H\n E ---> I\n F ---> J\n G -->|events| K\n\n linkStyle 0,2,3,4,8,9 stroke:#46B4F0\n linkStyle 1,11 stroke:#6EE6F5\n linkStyle 5,6,7 stroke:#E66482\n linkStyle 10 stroke:#F5D246\n style id1 stroke-dasharray:5 5,rx:10,ry:10\n style id2 stroke-dasharray:5 5,rx:10,ry:10\n style id3 stroke-dasharray:5 5,rx:10,ry:10\n style id4 stroke-dasharray:5 5,rx:10,ry:10\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2d199e84a0d1d8b6389e3943d2c4e8e4.png", "anno": "```mermaid\nflowchart TD\n A[\"• Assess using ABCDE approach
• 12-lead ECG and monitor cardiac rhythm if serum potassium (K+) ≥ 6.0 mmol/l
• Exclude pseudohyperkalaemia (send repeat sample in Lithium Heparin tube if suspected)
• Give empirical treatment for arrhythmia if hyperkalaemia suspected\"]\n B[\"MILD
$$K^{+}$$ 5.5 - 5.9 mmol/L
Consider cause and need for treatment\"]\n C[\"MODERATE
$$K^{+}$$ 6.0 - 6.4 mmol/L
Treatment guided by clinical condition, ECG and rate of rise\"]\n D[\"SEVERE
$$K^{+}$$≥ 6.5 mmol/L
Emergency treatment indicated\"]\n E[\"Seek expert help\"]\n F[\"ECG Changes?
Peaked T waves
Flat/ absent P waves
Broad QRS
Sine wave
Bradycardia
VT\"]\n G[\"Calcium Gluconate IV
OR
Calcium Chloride IV (6.8 mmol)\"]\n H[\"Insulin-Glucose IV Infusion
Give 10 units soluble insulin in 25 g glucose over 15-30 min (Check blood glucose before starting infusion)\"]\n I[\"REDUCE THE RISK OF HYPOGLYCAEMIA
If pre-treatment blood glucose < 7.0mmol/l,
follow with glucose infusion:10% glucose @ 50ml/hr for 5 hrs (25g)\"]\n J[\"Salbutamol 10-20 mg Nebulised\"]\n K[\"Sodium Zirconium Cyclosilicate (Lokelma) 10g tds for up to 72 hrs
OR
Patiromer 8.4g once daily\"]\n L([\"Consider Dialysis
Seek expert help\"])\n M[\"Monitor serum $$K^{+}$$ and blood glucose\"]\n N[\"Consider cause and prevent further rise or recurrence
(see Guideline 21.1-21.4)\"]\n O[\"Protect the Heart\"]\n P[\"Shift $$K^{+}$$ into cells\"]\n Q[\"Remove $$K^{+}$$ from body\"]\n R[\"Monitor $$K^{+}$$ and Glucose\"]\n S[\"Prevention\"]\n\n A ==> B\n A ==> C\n A ==> D\n B ==> M\n C ==> F\n D ==> F\n E ~~~ F\n F ==>|YES| G\n F ==>|NO| H\n G ==> H\n H ~~~ I\n I ==>|Consider| J\n J ==>|Consider| K\n K ==> L\n K ==> M\n L ==> M\n M ==> L\n M ==>|$$K^{+}$$≥ 6.5 mmol/l despite medical therapy| N\n B ~~~ O\n O ~~~ P\n P ~~~ Q\n Q ~~~ R\n R ~~~ S\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/55063645165fe8e16fbca55b645b3a48.png", "anno": "```mermaid\nflowchart TD\n A(\"Begin\")\n B[/\"Warmming-up\"/]\n C[/\"Revision\"/]\n D[/\"Flash\"/]\n E[\"presentation\"]\n F[\"Teach new words\"]\n G[\"Show the pictures to students\"]\n H[/\"speaking,reading\"/]\n I[/\"Learn the main sentences\"/]\n J[\"What is he /she doing?
He /she is...\"]\n K[\"Practice\"]\n L[/\"Reading\"/]\n M[/\"Play a game\"/]\n N[/\"Fill in the blank\"/]\n O[\"Can you sing?\"]\n P((\"Homework\"))\n Q(\"Can you read?\")\n R[/\"Can you act?\"/]\n S(\"Ending\")\n\n A --> B\n B --> C\n B --> D\n C --> E\n D --> E\n E --> F\n F --> G\n F --> H\n G --> I\n G --> J\n H --> I\n H --> J\n I --> K\n J --> K\n K --> L\n K --> M\n L --> N\n M --> N\n N --> O\n O --> P\n P --> Q\n P --> R\n Q --> S\n R --> S\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/c9d5c59ee540e7531278fcf3d9654747.png", "anno": "```mermaid\nflowchart TD\n subgraph ide1 [\" \"]\n subgraph ide2 [\" \"]\n A[\"Municipal solid waste management system framework\"]\n subgraph ide3 [\"Layer (1)\"]\n B[\"GHG emission layer\"]\n C[\"$$CH_{4}$$\"]\n D[\"$$CO_{2}$$\"]\n E[\"$$N_{2}O$$\"]\n end\n subgraph ide4 [\"Layer (2)\"]\n F[\"MSW treatment layer\"]\n G[\"Material recovery facility\"]\n H[\"Composting\"]\n I[\"Incineration\"]\n J[\"Landfill\"]\n end\n subgraph ide5 [\"Layer (3)\"]\n K[\"Desired/undesired output layer\"]\n L[\"Products\"]\n M[\"Undesirable outputs\"]\n end\n subgraph ide6 [\"Layer (4)\"]\n N[\"Resource factor input layer\"]\n O[\"Energy\"]\n P[\"Capical investment\"]\n Q[\"Services\"]\n end\n end\n subgraph ide7 [\" \"]\n R[\"Cost-benefit analysis\"]\n S[\"Costs\"]\n T[\"Benefits\"]\n U[\"Main parameters
Separate collection
Transportation
Facility construction
Operation and Maintenance
Residential waste disposal fee
Products\"]\n end\n subgraph ide8 [\" \"]\n V[\"Accounting for GHG emission potentials\"]\n W@{shape: text, label: \"● Sanitary landfill\"}\n X@{shape: text, label: \"● Simple landfill\"}\n Y@{shape: text, label: \"● Composting\"}\n Z@{shape: text, label: \"● Incineration\"}\n AA((\"Utilization of different treatments and technologies\"))\n end\n end\n subgraph ide9 [\" \"]\n AB[\"Scenario settings\"]\n AC[\"$$S_{0}:\\ Current\\ management\\ system\\ with\\ no\\ changes$$\"]\n subgraph ide10 [\"Processing structure optimization\"]\n AD[\"$$SA_{1}:\\ Reduce\\ R_{L}\\ by\\ 1\\%\\ and\\ increase\\ R_{1}\\ by\\ 1\\%$$\"]\n AE[\"$$SA_{2}:\\ Reduce\\ R_{L}\\ by\\ 1\\%\\ and\\ increase\\ R_{C}\\ by\\ 1\\%$$\"]\n AF[\"$$SA_{3}:\\ Reduce\\ R_{L}\\ by\\ 2\\%\\ and\\ increase\\ R_{1}\\ and\\ R_{C}\\ by\\ 1\\%$$\"]\n AG[\"$$SA_{4}:\\ Reduce\\ R_{1}\\ by\\ 1\\%\\ and\\ increase\\ the\\ R_{C}\\ by\\ 1\\%$$\"]\n end\n subgraph ide11 [\"Processing technology optimization\"]\n AH[\"$$SB_{1}:\\ Reduce\\ R_{L}\\ by\\ 1\\%\\ and\\ increase\\ the\\ methane\\ combustion\\ rate\\ by\\ 1\\%$$\"]\n AI[\"$$SB_{2}:\\ Reduce\\ R_{L}\\ by\\ 1\\%\\ and\\ increase\\ the\\ compost\\ pretreatment\\ rate\\ by\\ 1\\%$$\"]\n AJ[\"$$SB_{3}:\\ Reduce\\ R_{L}\\ by\\ 1\\%\\ and\\ increase\\ the\\ LFG\\ power\\ generation\\ rate\\ by\\ 1\\%$$\"]\n AK[\"$$SB_{4}:\\ Reduce\\ R_{1}\\ by\\ 1\\%\\ and\\ increase\\ the\\ Waste-to-energy\\ incineration\\ rate\\ by\\ 1\\%$$\"]\n end\n end\n subgraph ide12 [\" \"]\n AL[\"Greenhouse gas emission inventories\"]\n subgraph ide13 [\" \"]\n AM[\"Sanitary landfill
Aerobic landfill
Methane combustion
Anaerobic landfill after compost pretreatment
LFG power generation
Simple landfill\"]\n AN[\"Composting
Compost pretreatment\"]\n AO[\"Incineration
Waste-to-energy incineration\"]\n end\n AP[\"Cost-benefit analysis inventories\"]\n end\n AQ[\"Multi-contextual MSW eco-efficiency assessment\"]\n\n A ~~~ ide3\n ide3 --> F\n ide4 --> K\n ide5 --> N\n ide2 --> ide7\n ide2 --> ide8\n S ==> U\n T ==> U\n U ==> ide8\n ide7 --> AB\n ide8 --> AB\n AB ~~~ AC\n AC ==> ide10\n AC ==> ide11\n ide1 ==> ide12\n AL --> ide13\n AP --> ide13\n ide9 ==> AQ\n ide12 ==> AQ\n\n style ide1 fill:color:#000,stroke-dasharray: 5 \n style ide9 fill:color:#000,stroke-dasharray: 5\n style ide12 fill:color:#000,stroke-dasharray: 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7534993ac089027d45186a81b403a9ee.png", "anno": "```mermaid\nflowchart TD\n A[\"gDNA\"]\n B[\"Re sequencing\"]\n C[\"GBS (dd-RAD)\"]\n D[\"Raw date\"]\n E[\"Date quality control\"]\n F[\"Alignment to reference\"]\n G[\"variance analysis\"]\n H[\"SNP detection summary and annotation\"]\n I[\"Indel detection summary and annotation\"]\n J[\"SV detection summary and annotation\"]\n K[\"CNV detection summary and annotation\"]\n\n A --> B\n A --> C\n B --> D\n C --> D\n D --> E\n E --> F\n F --> G\n G --> H\n G --> I\n G --> J\n G --> K\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/e626494d9e6f894f29c6a0abf1133b35.png", "anno": "```mermaid\nflowchart TD\n subgraph ide1 [\"Carbon emission calculation\"]\n subgraph ide2 [\"Statistical data\"]\n A(\"Energy consumption\")\n B(\"Livestock inventory\")\n C(\"Input in agricultural activities\")\n D(\"Area of paddy land\")\n end\n E(\"$$CO_{2}\\quad$$ emission\")\n F(\"$$CH_{4}\\quad$$ emission\")\n G(\"Energy consumption\")\n H(\"Agricultural activities\")\n I(\"Coal mining\")\n J(\"Rice planting\")\n K(\"Animal husbandry\")\n L([\"Total Carbon emission\"])\n end\n subgraph ide3 [\"Terrestrial carbon sink calculation\"]\n subgraph ide4 [\"Statistical data\"]\n M(\"Area of grass land\")\n N(\"Area of forest land\")\n O(\"Area of cropland\")\n end\n subgraph ide5 [\"Remote sensing and meteorological data\"]\n P(\"Precipitation\")\n Q(\"MODIS NPP\")\n R(\"Temperature\")\n end\n S([\"Inventory method\"])\n T([\"Eddy covariance method\"])\n U([\"Carbon sink of various land use types\"])\n V([\"Net ecosystem productivity (NEP)\"])\n W([\"Terrestrial carbon sink\"])\n end\n X([\"Carbon variation and balance analysis\"])\n Y([\"Stage wise trend analysis\"])\n Z([\"Carbon sink ratio (CSR)\"])\n\n ide2 --> E\n ide2 --> F\n E --> G\n E --> H\n F --> I\n F --> J\n F --> K\n G --> L\n H --> L\n I --> L\n J --> L\n K --> L\n ide4 --> S\n S -->|Carbon absorption factor| U\n U --> W\n ide5 --> T\n T -->|Heterotrophic respiration| V\n V --> W\n L --> X\n W --> X\n X --> Y\n X --> Z\n\n style ide2 stroke-dasharray: 5 5\n style ide4 stroke-dasharray: 5 5\n style ide5 stroke-dasharray: 5 5\n```\n\n\n```mermaid\nflowchart TD\n subgraph ide1[\"Step1: The supply-demand balance of ESs\"]\n subgraph ide2[\"Ecosystem services types\"]\n A[\"Water yield\"]\n B[\"Soil Conservation\"]\n C[\"Carbon sequestration\"]\n D[\"Recreation and leisure\"]\n end\n E[\"Ecosystem service demand (ED)\"]\n F[\"Ecosystem service supply (ES)\"]\n G[\"Supply- demand ratio (ES/ED)\"]\n H[\"Overall imbalance\"]\n I[\"Structural imbalance\"]\n end\n subgraph ide3[\"Step2: The adjust factors based on ESs scarcity\"]\n J[\"Scarcity Theory
The server imbalance, the higher priority/urgency\"]\n K[\"Weights among sub-regions
UEP: the urgency index of sub-regional ecological protection\"]\n L[\"Weights among ESs types
PET: the priority index of each ESs type in sub-region\"]\n end\n M[\"Ecological Sensitivity Assesment
(terrain, soil, climate, vegetation and human activities factors)\"]\n subgraph ide4[\"Step3: Ecosystem service scarcity supply capacity (ESSSC)\"]\n N[\"$$ESSSC_{i} = UEP_{j}\\sum_{m=1}^{n} ( PET_{jm} \\times ES_{im})$$\"]\n O@{shape: text, label: \"ESSSC in the pixel i is determined by ESs supply in the pixel i with PET as the weight of single ESs type m in the sub-region j and then UEP as the weight of the total supply in the sub-region j.\"}\n end\n subgraph ide5[ ]\n P[\"Extremely sensitive areas
(the first two level of ecological sensitivity)\"]\n Q[\"Extremely important areas of ESs supply
(the first two level of ESSSC)\"]\n R[\"Important water areas
(>10 $$km^{2}$$ of water area)\"]\n end\n subgraph ide6[\"Step4: Construction of ESP\"]\n S[\"Ecological resistance surface
(resistance coefficients of land use types)\"]\n subgraph ide7[ ]\n T[\"Identify ecological sources\"]\n U[\"Extract ecological corridors\"]\n V[\"Extract ecological nodes\"]\n end\n W[\"Ecological security patterns (ESP)\"]\n end\n\n ide1 ==> ide3\n ide1 ==> ide4\n ide4 ==> ide6\n A --> E\n B --> E\n C --> E\n D --> E\n A --> F\n B --> F\n C --> F\n D --> F\n E --> G\n F --> G\n F --> N\n G --> H\n G --> I\n H --> K\n I --> L\n J --> K\n J --> L\n ide3 --> N\n M --> P\n N ~~~ O\n ide4 --> Q\n ide5 --> T\n S -->|MCR| U\n S --> V\n T --> U\n U -->|Barrier point| V\n ide7 --> W\n\n style ide1 stroke-dasharray: 5 5\n style ide2 stroke-dasharray: 5 5\n style ide3 stroke-dasharray: 5 5\n style ide4 stroke-dasharray: 5 5\n style ide5 stroke-dasharray: 5 5\n style ide6 stroke-dasharray: 5 5\n style ide7 stroke-dasharray: 5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/30f1b60baf075aa9d6cb9549d59200fc.png", "anno": "```mermaid\nflowchart TD\n A((\" \"))\n B(\"Employee submits
Purchase Req. to
Purchasing Dept.\")\n C(\"Get req'd approval (as
needed)\")\n D{\"Is Purchase Req. complete?\"}\n E(\"Employee corrects
mistakes\")\n F((B))\n G(\"Run financial checks\")\n H{\"Is vendor on AVL?\"}\n I(\"Send PO to vendor\")\n J{\"Approved?\"}\n K{\"Is quote required?\"}\n L(\"Login into Accounting
system\")\n M(\"Forward to Accounts
Payable\")\n N([Stop])\n O[A]\n P([Stop])\n\n A --> B\n B --> D\n C --> B\n D -->|No| E\n D -->|Yes| H\n E --> C\n F --> I\n G --> J\n H -->|No| G\n H -->|Yes| K\n I --> L\n J -->|No| N\n J -->|Yes| K\n K -->|No| I\n K -->|Yes| O\n L --> M\n M --> P\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d859ba345a2929fea7b79e06af1c1310.png", "anno": "```mermaid\nflowchart TD\n A([\"Start\"])\n B[/\"Phenotype data\"/]\n C[\"Impute missing data\"]\n D[/\"Methylation data\"/]\n E[/\"Cell proportions(CD8T, CD4T, NK,Bcell, Mono and Neu)\"/]\n F[\"Combine data (methylation,phenotype and cell proportions)\"]\n G[\"Machine learning pre-processing:
• Imputation of methylation missing values
• Feature selection
• Feature scaling\"]\n H[\"Divide data into training andtesting sets (75:25%)\"]\n I[\"Hyperparameter tuning\"]\n J[\"Default settings\"]\n K[\"Train machine learning models ontraining data (75%)\"]\n L[\"Perform cross-validation\"]\n M[\"Prediction on training data\"]\n N[\"Prediction on test data(25%)\"]\n O[\"Visualization\"]\n P([\"End\"])\n\n A --> B\n B -->|Input: Phenotype data| C\n C -->|Input: Imputed phenotype data| F\n D -->|Input: Methylation data| F\n E -->|Input: Cell Proportions| F\n F -->|Input: Combined data| G\n G --> H\n H --> K\n I --> K\n J --> K\n K --> L\n N -->|Evaluate performance, andadjust the model if necessary| I\n L --> M\n M --> I\n L --> N\n N -->|Prediction| O\n O --> P\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/10c61630d0044caa620fc9c29ba20429.png", "anno": "```mermaid\nflowchart TD\n A(\"Likelihood constructing for wheat simulation\")\n B(\"Posterior predictions generating for each meteorological grid\")\n C(\"LAI matching and yield mapping\")\n subgraph ide1 [\" \"]\n D(\"Yield statistics\")\n E(\"Field observations\")\n end\n subgraph ide2 [\" \"]\n F@{shape: text, label: \" \"}\n G@{shape: text, label: \" \"}\n H@{shape: text, label: \"Meteorological grids\"}\n I[\" \"]\n J@{shape: text, label: \"Weather
Management
Crop data\"}\n K(\"WOFOST
Crop growth model\")\n L(\"Parameters & simulation uncertainty\")\n end\n subgraph ide3 [\" \"]\n M(\"Remote-sensed LAI\")\n N(\"LAI matching\")\n O(\"Final yield matching\")\n P(\"Regional yield mapping\")\n Q(\"Validation & Analysis\")\n end\n\n A ==> B\n B ==> C\n F ==> G\n G ==> H\n H ==> I\n I ==> K\n J ==> K\n K ==> L\n M ==> N\n N ==> O\n O ==> P\n P ==> Q\n ide1 ~~~ ide2\n ide2 ~~~ ide3\n\n style I stroke-dasharray: 5 5\n style ide1 stroke-dasharray: 5 5\n style ide2 stroke-dasharray: 5 5\n style ide3 stroke-dasharray: 5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/b4c0a4c2aa95834f38319f2b63cbb975.png", "anno": "### Fig. 2. Methodological framework applied in the present analysis.\n\n```mermaid\nflowchart TD\n subgraph id1 [\"Data preparation\"]\n A@{ shape: text, label: \"Climate, ecology, socio-economic data\" }\n B@{ shape: text, label: \"Distribution data of different crops\" }\n C@{ shape: text, label: \"Precipitation, sunshine, vegetation, terrain etc.
environment\" }\n D@{ shape: text, label: \"Soil organic matter, Ph, Total nitrogen, phosphorus etc.
environment\" }\n E@{ shape: text, label: \"human activity\" }\n F@{ shape: text, label: \"Crop growth and development\" }\n G@{ shape: text, label: \"environment\" }\n end\n subgraph id2 [\"Model and Validation\"]\n H[\"MaxEnt model\"]\n I[\"Potential factor contribution\"]\n J([\"Dominant factor\"])\n end\n subgraph id3 [\"Results and discussion\"]\n subgraph id31 [ ]\n K@{ shape: text, label: \"Rice\" }\n L@{ shape: text, label: \"Wheat\" }\n M@{ shape: text, label: \"Maize\" }\n N@{ shape: text, label: \"Soybean\" }\n O@{ shape: text, label: \"Largest suitability\" }\n end\n P[\"Crop existence probability of grid allocation and suitability grade\"]\n Q[\"The grid cross-comparison of the suitability of different crops\"]\n R[\"Regulation of crop distribution pattern\"]\n end\n\n A --> C\n A --> D\n A --> E\n B ~~~ C\n C --> G\n D --> G\n F-->|\"Factor screening\"|H\n id1==>|\"Applicability test of MaxEnt model\"|H\n H-->|\"Model validation\"|I\n I --> J\n J-->|\"Secondary modeling verification\"|H\n id2==>id31\n K <--> |VS|L\n L <--> |VS|M\n M <--> |VS|N\n K --> O\n N --> O\n P --> Q\n Q --> R\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/dd111c6952f71271d2d88ff1713f95a4.png", "anno": "```mermaid\nflowchart TD\n A[\"936 Lung cancer patients received PD-1/PD-L1 inhibitor treatment\"]\n B[\"568 Excluded
479 With incomplete data
23 Missing serial thyroid function monitoring data ( ≥ 3 months)
28 Had less than three immunotherapy courses
38 Exhibited baseline thyroid dysfunction\"]\n C[\"368 Included in final cohort (grouped by presence or absence of thyroid irAE)\"]\n D[\"252 Included in the non-thyroid irAE group\"]\n E[\"116 Included in the thyroid irAE group\"]\n F[\"Baseline characteristics and thyroid function indices were analyzed\"]\n G[\"Risk factors for thyroid immune-related adverse events\"]\n H[\"Prognostic follow-up\"]\n I[\"Thyroid irAE clinical profiles\"]\n J[\"Thyroid irAE as biomarkers for survival outcomes\"]\n\n A --> B\n A --> C\n C --- D\n C --> E\n D --> F\n D --> G\n D --> H\n E --> F\n E --> G\n E --> H\n F --> I\n G --> I\n H --> J\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/6b13589aebb707901b10c5926441c65b.png", "anno": "```mermaid\nflowchart TD\n subgraph id1 [ ]\n A[\"In-situ data from weather stations\"]\n B[\"Land-Use and Land-Cover Change data\"]\n C[\"Remotely sensed and reanalysis data\"]\n D[\"Data collection and preprocessing\"]\n end\n subgraph id2 [ ]\n subgraph id21 [ ]\n E[\"Land use data\"]\n F[\"Split of study period\"]\n G[\"Dynamic classification of urban and rural stations\"]\n end\n H[\"Rainfall\"]\n I[\"Temperature\"]\n subgraph id22 [ ]\n J[\"Definitions of rainfall indices in different intensity\"]\n K[\"Definitions of diverse drought indices\"]\n end \n end\n subgraph id3 [ ]\n L[\"Sen's Slope\"]\n M[\"Mann-Kendall Trend Test\"]\n N[\"Calculation of trend for various rainfall and drought series\"]\n subgraph id31 [ ]\n O[\"Quantification of Urban effects\"]\n P[\"Quantification of Urban Contribution\"]\n end \n end\n subgraph id4 [ ]\n subgraph id41 [ ]\n Q[\"UHI\"]\n R[\"UDI\"]\n S[\"Multiple factors\"]\n T[\"Regression analysis and correlation analysis\"]\n U[\"Statistical based potential mechanism exploration\"]\n end\n subgraph id42 [ ]\n V[\"WRF hydrological model\"]\n W[\"Processed land use and topography data\"]\n X[\"Design experiments in different scenarios\"]\n Y[\"Physical based potential mechanism exploration\"]\n end \n end\n\n A --> D\n B --> D\n C --> D\n E --> G\n F --> G\n H --> id22\n I --> id22\n L --> N\n M --> N\n N --> id31\n Q --> T\n R --> T\n S --> T\n T --> U\n V --> X\n W --> X\n X --> Y\n id1 ==> id2\n id1 ==> id3\n id2 ==> id3\n id3 ==> id4\n id2 ==> id4\t\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/37221195356c1fb356d74cdbd1aa9d0f.png", "anno": "```mermaid\nflowchart TD\n A([\"用户发出请求\"])\n B@{shape: doc, label: \"根据请求封装获取WebAsyncManager，从WebAsyncManager获取/注册的安全上下文可调用处理拦截器\"}\n C[\"WebAsyncManagerIntegrationFilter\"]\n D@{shape: doc, label: \"SecurityContextPersistenceFilter主要是使用SecurityContextRepository在session中保存或更新一个SecurityContext，并将SecurityContext给以后的过滤器使用，来为后续filter建立所需的上下文。SecurityContext中存储了当前用户的认证以及权限信息.\"}\n E[\"SecurityContextPersistenceFilter\"]\n F@{shape: doc, label: \"向请求的Header中添加相应的信息,可在http标签内部使用security:headers\"}\n G[\"HeaderWriterFilter\"]\n H@{shape: doc, label: \"csrf又称跨域请求伪造，SpringSecurity会对所有post请求验证是否包含系统生成的csrf的token信息，如果不包含，则报错.起到防止csrf攻击的效果.\"}\n I[\"CsrfFilter\"]\n J@{shape: doc, label: \"匹配URL为/logout的请求，实现用户退出,清除认证信息.\"}\n K[\"LogoutFilter\"]\n L{\"是否登出url\"}\n M[\"logoutHandler登出处理\"]\n N[\"logoutSuccessHandler登出成功处理\"]\n O{\"是否配置登录页\"}\n P[\"DefaultLoginPageGeneratingFilter\"]\n Q@{shape: doc, label: \"如果没有在配置文件中指定认证页面，则由该过滤器生成一个默认认证页面\"}\n R{\"是否是登录请求\"}\n S[\"UsernamePasswordAuthenticationFilter\"]\n T[\"AuthenticationManager认证管理器\"]\n U{\"是否认证成功\"}\n V[\"认证成功处理器\"]\n W[\"认证失败处理器\"]\n X@{shape: doc, label: \"通过HttpSessionRequestCache内部维护了一个RequestCache，用于缓存HttpServletRequest\"}\n Y[\"RequestCacheAwareFilter\"]\n Z@{shape: doc, label: \"针对ServletRequest进行了一次包装，使得request具有更加丰富的API\"}\n AA[\"SecurityContextHolderAwareRequestFilter\"]\n AB@{shape: doc, label: \"当SecurityContextHolder中认证信息为空,则会创建一个匿名用户存入到SecurityContextHolder中.springsecurity为了兼容未登录的访问，也走了一套认证流程，只不过是一个匿名的身份.\"}\n AC[\"AnonymousAuthenticationFilter\"]\n AD@{shape: doc, label: \"securityContextRepository限制同一用户开启多个会话的数量\"}\n AE[\"SessionManagementFilter\"]\n AF@{shape: doc, label: \"异常转换过滤器位于整个springSecurityFilterChain的后方，用来转换整个链路中出现的异常\"}\n AG[\"ExceptionTranslationFilter\"]\n AH@{shape: doc, label: \"获取所配置资源访问的授权信息，根据SecurityContextHolder中存储的用户信息来决定其是否有权限.\"}\n AI[\"FilterSecurityInterceptor\"]\n AJ@{shape: flag, label: \"鉴权管理器\"}\n AK{\"投票结果是否大于1\"}\n AL[\"AccessDeniedHandler\"]\n AM@{shape: doc, label: \"拒绝访问程序处理器\"}\n AN[\"controller\"]\n\n A --> C\n B -.-> C\n C --> E\n D -.-> E\n E --> G\n F -.-> G\n G --> I\n H -.-> I\n I --> K\n J -.-> K\n K --> L\n L -->|是| M\n L -->|否| O\n M --> N\n Q -.-> P\n P --> R\n O -->|否| P\n O -->|是，返回自定义登录页| R\n R -->|是| S\n S --> T\n T --> U\n U -->|是| V\n U -->|否| W\n R -->|否| Y\n X -.-> Y\n Y --> AA\n Z -.-> AA\n AA --> AC\n AB -.-> AC\n AC --> AE\n AD -.-> AE\n AE --> AG\n AF -.-> AG\n AG --> AI\n AH -.-> AI\n AI --> AJ\n AJ --> AK\n AK -->|否| AL\n AM -.-> AL\n AK -->|是| AN\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/8be8884b178af4df3958253866a410b1.png", "anno": "```mermaid\nflowchart TD\n A[\"According to the size of the drawings\"]\n B[\"Product forming\"]\n C[\"Size detection\"]\n D[\"Track inspection record\"]\n E[\"Record file\"]\n F[\"The placement of semi-finished products\"]\n G[\"post processing\"]\n H[\"Responsible for post processing position\"]\n I[\"Finished products inspection and storage\"]\n J[\"Order/inventory statistics\"]\n K[\"Inventory statistics report file\"]\n L[\"Fill out the finished product inspection and out of the storehouse\"]\n M[\"Delivery order with packing details\"]\n N[\"Shipping method\"]\n O[\"delivery of cargo from storage\"]\n\n A --> B\n C --> B\n B --> D\n D --> E\n D --> F\n F --> G\n H --> G\n G --> I\n I --> J\n I --> L\n J --> K\n L --> M\n M --> N\n N --> O\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/86e1c89bab8889cf3971f917de51bad4.png", "anno": "```mermaid\nflowchart TD\n subgraph ide1[\" \"]\n A@{shape: text, label: \"Hypothalamus\"}\n B@{shape: text, label: \"TAU\"}\n end\n C(\"Pituitary\")\n D@{shape: text, label: \"TAU\"}\n E@{shape: text, label: \"LH\"}\n subgraph ide2[\"Testis\"]\n F(\"Leydig cells\")\n G((\"Testosterone\"))\n H(\"cysteine\")\n I(\"hypotaurine\")\n J@{shape: text, label: \"TAU\"}\n end\n K@{shape: text, label: \" \"}\n L@{shape: text, label: \" \"}\n M((\"Na+-k+
ATPase ↓\"))\n N[\"↑ Fertilization\"]\n O((\"Antioxidation ↑\"))\n P((\"Mesenchymal
autophagy ↑\"))\n Q((\"Testosterone ↑\"))\n R[\"↑ Sperm motility\"]\n S[\"↑ Sperm capacitation\"]\n T[\"↑ Acrosome reaction\"]\n U[\"↑ Apoptosis\"]\n\n A -->|GnRH| C\n B --\"-\"--> A\n A --\"+\"--> B\n C -->|FSH| ide2\n C --> E\n D --> E\n E --> F\n D -->|SLC6A6| G\n F --> G\n H -->|CDO
CSO| I\n I -->|hypotaurine
dehydrogenase| J\n ide2 --> K\n K --> L\n L --> M\n M ~~~ N\n J --- O\n J --- P\n J --- Q\n O --- R\n O --- S\n O --- T\n P --> U\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/29ae26c8cc906651258c82ff9d7db6ed.png", "anno": "```mermaid\nflowchart TD\n A[\"代码入口
SpringApplication
.run(SimpleMVCApp.class,
args);\"]\n B[\"1.webApplicationType
1
new
SpringApplication(primarySources)\"]\n C[\"如何决定
webApplicationType?
code
this.webApplicationType =
WebApplicationType.deduceFromClasspath();\"]\n D[\"jar包依赖决定\"]\n E[\"new
SpringApplication(primarySources)
.run(args)\"]\n F[\"运行中环境准备
2
code
ConfigurableEnvironment environment =
prepareEnvironment(listeners,
applicationArguments);\"]\n G[\"运行中context准备
3
code
context = createApplicationContext();\"]\n H[\"刷新context
4
code
refreshContext(context);\"]\n I[\"getOrCreateEnvironment\"]\n J[\"new StandardServletEnvironment()\"]\n K[\"+
commandLineArgs
servletConfigInitParams
servletContextInitParams
jndiProperties
systemProperties
systemEnvironment
random
application.properties ...
@PropertySource annotations on your
@Configuration classes
defaultProperties\"]\n L[\"AnnotationConfigServletWebServerApplication
Context
prepareContext(context, environment,
listeners, applicationArguments,
printedBanner);\"]\n M[\"onRefresh();\"]\n N[\"createWebServer();\"]\n O[\"code
this.webServer =
factory.getWebServer(getSelfInitializer());\"]\n P[\"TomcatServletWebServerFactory#
getWebServer\"]\n Q[\"code
getTomcatWebServer(tomcat);\"]\n\n A --> B\n A --> E\n B --> C\n C --> D\n E --> F\n E --> G\n E --> H\n F --> I\n I --> J\n J --> K\n G --> L\n H --> M\n M --> N\n N --> O\n O --> P\n P --> Q\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/c4dfe6328f22cbfab91f1600659b17e6.png", "anno": "```mermaid\nflowchart TD\n A([\"Start\"])\n B[\"Randomly generate population positions\"]\n C[\"Generate the new positions and calculate the fitness\"]\n D[\"Update the positions and the fitness\"]\n E[\"Update the positions\"]\n F{\"The maximum iteration\"}\n G[\"Obtain the optimal location\"]\n H([\"End\"])\n I[\"Determine the PRSM structural parameters $$d_{s}, n_{s}, P, m, B, d_{ng}, e$$\"]\n J[\"Determine the thread pitch diameter of the roller and the nut\"]\n K[\"Determine the thread tooth thickness of screw, roller and nut\"]\n L[\"Determine the tooth parameters of the annular gear and the gear at the end of roller\"]\n M[\"Obtain the contact force of the meshing point on tht roller, screw and nut\"]\n N{\"Strength conditions\"}\n O[\"Obtain the fitness using the equation (49)\"]\n P[\"The fitness is 0\"]\n Q[\"Calculate the fitness\"]\n\n A --> B\n B --> C\n B --> I\n C --> D\n D --> E\n E --> F\n F -->|No| C\n F -->|Yes| G\n G --> H\n I --> J\n J --> K\n K --> L\n L --> M\n M --> N\n N -->|Yes| O\n N -->|No| P\n O --> Q\n P --> Q\n Q --> C\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/f71a3aff399dc730eb78ebf1b2fce5be.png", "anno": "```mermaid\nflowchart TD\n A(\"Identification of studies via databases\")\n B(\"Identification\")\n C[\"Records identified from:
Databases (n= 738)
PUBMED (n= 139)
SCOPUS (n= 269)
Web of Science (n=157)
Cochrane Library (n=77)
EBSCOhost (n=96)\"]\n D[\"Records removed before
screening:
Duplicate records removed
(n = 342)\"]\n E(\"Screening\")\n F[\"Records screened
(n = 396)\"]\n G[\"Records excluded
(n = 303)\"]\n H[\"Reports sought for retrieval
(n = 93)\"]\n I[\"Reports not retrieved
(n = 4)\"]\n J[\"Reports assessed for eligibility
(n = 89)\"]\n K[\"Reports excluded (n=85):
Abstracts: 3
Book chapter: 1
Commentary: 1
Different population: 1
Different intervention: 18
No outcomes of interest (only sample characterization data): 1
Not RCT or quasi-experimental study: 17
Not written in Portuguese, English, Spanish or French: 3
Not unsupervised: 32
Protocols: 4
Reviews: 4\"]\n L(\"Included\")\n M[\"Reports included in review
(n = 11)\"]\n N(\"Identification of studies via other methods\")\n O[\"Records identified from:
Automatic updates (n = 2)
Citation searching (n=5)\"]\n P[\"Reports sought for retrieval
(n = 7)\"]\n Q[\"Reports not retrieved: none\"]\n R[\"Reports assessed for eligibility
(n = 7)\"]\n S[\"Reports excluded: none\"]\n\n A ~~~ C\n A ~~~ D\n B ~~~ C\n C --> D\n C --> F\n E ~~~ F\n F --> G\n F --> H\n E ~~~ H\n H --> I\n H --> J\n E ~~~ J\n J --> K\n J --> M\n L ~~~ M\n N ~~~ O\n O --> P\n P --> Q\n P --> R\n R --> S\n R --> M\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d859ba345a2929fea7b79e06af1c1310.png", "anno": "```mermaid\nflowchart TD\n A([\"Start\"])\n B[/\"Phenotype data\"/]\n C[\"Impute missing data\"]\n D[/\"Methylation data\"/]\n E[/\"Cell proportions(CD8T, CD4T, NK,Bcell, Mono and Neu)\"/]\n F[\"Combine data (methylation,phenotype and cell proportions)\"]\n G[\"Machine learning pre-processing:
• Imputation of methylation missing values
• Feature selection
• Feature scaling\"]\n H[\"Divide data into training andtesting sets (75:25%)\"]\n I[\"Hyperparameter tuning\"]\n J[\"Default settings\"]\n K[\"Train machine learning models ontraining data (75%)\"]\n L[\"Perform cross-validation\"]\n M[\"Prediction on training data\"]\n N[\"Prediction on test data(25%)\"]\n O[\"Visualization\"]\n P([\"End\"])\n\n A --> B\n B -->|Input: Phenotype data| C\n C -->|Input: Imputed phenotype data| F\n D -->|Input: Methylation data| F\n E -->|Input: Cell Proportions| F\n F -->|Input: Combined data| G\n G --> H\n H --> K\n I --> K\n J --> K\n K --> L\n N -->|\"Evaluate performance, andadjust the model if necessary\"| I\n L --> M\n M --> I\n L --> N\n N -->|Prediction| O\n O --> P\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4ec478920f5c352969b449123037df27.png", "anno": "### 单抗过滤解决方案流程图\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"① Media Filtration\"}\n B@{shape: text, label: \"② Gas Filtration\"}\n C@{shape: text, label: \"② Sterile Vent \"}\n D@{shape: text, label: \"Fermentation/Bioreactor\"}\n E@{shape: text, label: \"Centrifugation\"}\n F@{shape: text, label: \"④ Clarification\"}\n G@{shape: text, label: \"Tangential Flow Microfitration\"}\n H@{shape: text, label: \"③ Buffer Filtration\"}\n I@{shape: text, label: \"⑤ Column/TFF Protection\"}\n J@{shape: text, label: \"⑥ Concentration\"}\n K@{shape: text, label: \"③ Buffer Filtration\"}\n L@{shape: text, label: \"③ Buffer Filtration\"}\n M@{shape: text, label: \" Affinity Chromatography\"}\n N@{shape: text, label: \" ③ Buffer Filtration\"}\n O@{shape: text, label: \"Virus Inactivation\"}\n P@{shape: text, label: \"⑤ Column Protection\"}\n R@{shape: text, label: \"③ Buffer Filtration\"}\n S@{shape: text, label: \"Purification Chromatography\"}\n T@{shape: text, label: \"Purification Chromatography\"}\n U@{shape: text, label: \"③ Buffer Filtration\"}\n V@{shape: text, label: \"⑦ Virus Removal Pre-filtration\"}\n W@{shape: text, label: \"⑧ Virus Removal filtration\"}\n X@{shape: text, label: \"⑥ Concenteation and Diafiltration\"}\n Y@{shape: text, label: \"Diafiltration Buffer Filtration\"}\n Z@{shape: text, label: \"⑨ Sterile Filtration\"}\n AA@{shape: text, label: \" Filling\"}\n\n A --> D\n B --> D\n C -.- D\n D --> F\n E --> G\n G --> E\n H -.- G\n F --- I\n I --> J\n K -.- J\n J --> M\n L -.- M\n M --> O\n N -.- O\n O --> P\n P --> S\n R -.- S\n U -.- T\n S --> T\n T --> V\n V --- W\n W --- X\n Y -.- X\n X --> Z\n Z --- AA\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/dc88a74413a6c611b31aa97e811b78ac.png", "anno": "```mermaid\nflowchart TD\n A@{shape: text, label: \"Atom i\"}\n B@{shape: text, label: \"Neighboring atoms ($$ r_{i1},...,r_{in} $$)\"}\n C[\"Potential parameters $$ (p_{i1},...,p_{im}) $$\"]\n D@{shape: text, label: \"Interatomic potential\"}\n E@{shape: text, label: \"$$ E_{i} $$\"}\n F((\"Σ\"))\n G@{shape: text, label: \"Other atoms\"}\n H@{shape: text, label: \" \"} \n I@{shape: text, label: \"PES\"}\n\n A --> B\n B --> D\n C --> D\n D --> E\n E --> F\n G --> F\n H --> F\n F --> I\n```\n\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"Atom i\"}\n B@{shape: text, label: \"Local structural parameters $$ (G_{i}^{1},G_{i}^{2},...,G_{i}^{k}) $$\"}\n C[\"Neural network\"]\n D@{shape: text, label: \"$$ E_{i} $$\"}\n E((\"Σ\"))\n F@{shape: text, label: \"Other atoms\"}\n G@{shape: text, label: \"PES\"}\n H@{shape: text, label: \" \"}\n\n A --> B\n B --> C\n C --> D\n D --> E\n F --> E\n E --> G\n H --> E\n```\n\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"Atom i\"}\n B@{shape: text, label: \"Neighboring atoms $$ (r_{i1},...,r_{in}) $$\"}\n C@{shape: text, label: \"Local structural parameters $$ (G_{i}^{1},G_{i}^{2},...,G_{i}^{k}) $$\"}\n D[\"Neural network\"]\n E@{shape: text, label: \"Potential parameters $$ (p_{i1},...,p_{im}) $$\"}\n F@{shape: text, label: \"Interatomic potential\"}\n G@{shape: text, label: \"$$ E_{i} $$\"}\n H((\"Σ\"))\n I@{shape: text, label: \"Other atoms\"}\n J@{shape: text, label: \"PES\"}\n K@{shape: text, label: \" \"}\n\n A --> C\n A --> B\n C --> D\n D --> E\n B --> F\n E --> F\n F --> G\n G --> H\n I --> H\n H --> J\n K --> H\n```\n\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"Atom i\"}\n B@{shape: text, label: \"Neighboring atoms $$ (r_{i1},...,r_{in}) $$\"}\n C@{shape: text, label: \"Local structural parameters $$ (G_{i}^{1},G_{i}^{2},...,G_{i}^{k}) $$\"}\n subgraph id1 [ ]\n D[\"Global parameters $$ (b_{1},...,b_{p}) $$\"]\n E[\"Neural network\"]\n end\n F@{shape: text, label: \"Local parameters $$ (a_{i1},...,a_{ik}) $$\"}\n G@{shape: text, label: \"Interatomic potential\"}\n H@{shape: text, label: \"$$ E_{i} $$\"}\n I((\"Σ\"))\n J@{shape: text, label: \"Other atoms\"}\n K@{shape: text, label: \" \"}\n L@{shape: text, label: \"PES\"}\n\n A --> B\n B --> C\n C --> E\n D --> G\n E --> F\n B --> G\n F --> G\n G --> H\n H --> I\n J --> I\n I --> L\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/aead76f50839b660cf4b7e9ddd628da3.png", "anno": "### 治疗剂的临床制造方法示意图\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"Mesenchymal stromal cells (Mscs)\"}\n B@{shape: text, label: \"Small scale\"}\n C@{shape: text, label: \"Industrial scale\"}\n D@{shape: text, label: \"Resuspension in medium\"}\n E@{shape: text, label: \"Centrifugation\"}\n F@{shape: text, label: \"Pellet\"}\n G@{shape: text, label: \"Microscope image\"}\n H@{shape: text, label: \"Medium\"}\n I@{shape: text, label: \"Microvesicles\"}\n J@{shape: text, label: \"Nucleus\"}\n K@{shape: text, label: \"Drugs\"}\n L@{shape: text, label: \"MVs
containing drug\"}\n M@{shape: text, label: \"Expanded cells (drug-loaded)\"}\n N@{shape: text, label: \"Drug-loaded Mvs\"}\n O@{shape: text, label: \"Naive MVs\"}\n P@{shape: text, label: \"Centrifugation
(polishing)\"}\n subgraph ide1 [\"Purification\"]\n Q@{shape: text, label: \"Surfactant\"}\n R@{shape: text, label: \"Polymer\"}\n S@{shape: text, label: \"Polymer precipitation\"}\n T@{shape: text, label: \"Ultracentrifugation\"}\n U@{shape: text, label: \"Flow\"}\n V@{shape: text, label: \"Size-exclusion chromatography\"}\n W@{shape: text, label: \"Affinity substrate\"}\n X@{shape: text, label: \"Affinity\"}\n Y@{shape: text, label: \"Ion-exchange chromatography\"}\n end\n Z@{shape: text, label: \"Tangential flow filtration\"}\n AA@{shape: text, label: \"Formulation\"}\n AB@{shape: text, label: \"Sterile filtration\"}\n AC@{shape: text, label: \"Sterilized microvesicles\"}\n AD@{shape: text, label: \"Filtration cartridge\"}\n AE@{shape: text, label: \"Storage\"}\n AF@{shape: text, label: \"Packaging\"}\n AG@{shape: text, label: \"Hospital (Clinical use)\"}\n\n A --> B\n B --> C\n B ---|Ex vivo expansion| C\n C --> D\n D --> E\n E --> F \n F -->|Supernatant| G\n F -->|Drug loading
(refer to Figure 3)| M\n G --- H\n G --- I\n J --- M\n K --- M\n L --> M\n M --> N\n G -->|Drug loading
(refer to Figure 3)| N\n G --> O\n N --> P\n O --> P\n P --> S\n Q --- S\n R --- S\n P --> T\n P --> V\n P --> X\n P --> Y\n W --- X\n P --> S\n ide1 --> Z\n Z -->|Direction of flow| ide1\n Z --> AA\n AA --- AB\n AB ==> AC\n AD --- AB\n AB --> AE\n AE -->|Quality control| AF\n AF --> AG\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/8fe58a17d71f91154891cbcc9855d2cd.png", "anno": "### When to use a, an, and the\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"Start\"}\n B[\"Is the word a noun?
(person, place or thing)\"]\n C[\"Is the noun singular?
(refer to only one thing)\"]\n D[\"Is the noun countable?
Count
Non-count\"]\n E@{shape: text, label: \"end\"}\n F[\"Is the noun already preceded by a determiner below?
one, any some, every, each, either, neither another, the other
my, our, your, his, her, its, their, nouns with 's or s'
this, that
one, no, the first, the second, etc.\"]\n G@{shape: text, label: \"end\"}\n H[\"Is the noun countable?
Count
Non-count\"]\n I@{shape: text, label: \"end\"}\n J[\"Is the plural countable noun already preceded by a determiner below?
some, any, both, many, more, most, few, fewer, the fewest, a lot of, a number of, other, several, all, all the
my, our, your, his, her its, their, nouns with 's or s'
these, those
no, two, three, etc.; the first, the second, the third, etc.\"]\n K[\"Is the plural, countable noun specific?\"]\n L{{\"'the'\"}}\n M@{shape: text, label: \"end\"}\n N@{shape: text, label: \"end\"}\n O{{\"'the'\"}}\n P[\"Requires a, an, or the. Is the noun specific?\"]\n Q[\"Does the noun begin with a consonant or a consonant sounding h?
(i.e. house, half)?\"]\n R{{\"'a'\"}}\n S([\"The noun must begin with a vowel or vowel sounding h (i.e. hour, heir, honesty) and therefore requires 'an''an'\"])\n\n A ~~~ B\n B -->|yes| C\n C -->|yes| D\n C -->|no, plural| H\n D -->|yes| F\n D -->|no| E\n F -->|yes| G\n H -->|yes| J\n H -->|no| I\n J -->|yes| M\n J -->|no| K\n K -->|yes| L\n K -->|no| N\n F -->|no| P\n P -->|no| Q\n P -->|yes| O\n Q -->|no| S\n Q -->|yes| R\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/0020935c3542f03b399146e22628d827.png", "anno": "```mermaid\nflowchart TD\n A([\"Start\"])\n B[\"Place Toaster on Table\"]\n C[\"Plug Toaster into Power Outlet\"]\n D[\"Turn the Toaster on\"]\n E[\"Set the Toaster to Desired Degree\"]\n F[\"Place Two Slices of Bread into Toaster\"]\n G[\"Push the Lever Down\"]\n H[\"Wait until Toast is Ready\"]\n I{\"Is the bread brown enough?\"}\n J[\"Cool the Toast for a While\"]\n K{\"Is the Toast cool enough?\"}\n L[\"Remove Toast from Toaster\"]\n M[\"Spread Toast\"]\n N([\"End\"])\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G --> H\n H --> I\n I -->|No| G\n I -->|Yes| J\n J --> K\n K -->|No| J\n K -->|Yes| L\n L --> M\n M --> N\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9c9e93ef61b2ce8a4eb3f324de0212dd.png", "anno": "```mermaid\nflowchart TD\n subgraph ide1 [\"Carbon emission calculation\"]\n subgraph ide2 [\"Statistical data\"]\n A[\"Energy consumption\"]\n B[\"Livestock inventory\"]\n C[\"Input in agricultural activities\"]\n D[\"Area of paddy land\"]\n end\n E(\"$$CO_{2}\\ $$ emission\")\n F(\"$$CH_{4}\\ $$ emission\")\n G(\"Energy consumption\")\n H(\"Agricultural activities\")\n I(\"Coal mining\")\n J(\"Rice planting\")\n K(\"Animal husbandry\")\n L([\"Total Carbon emission\"])\n end\n subgraph ide3 [\"Terrestrial carbon sink calculation\"]\n subgraph ide4 [\"Statistical data\"]\n M(\"Area of grass land\")\n N(\"Area of forest land\")\n O(\"Area of cropland\")\n end\n subgraph ide5 [\"Remote sensing and meteorological data\"]\n P(\"Precipitation\")\n Q(\"MODIS NPP\")\n R(\"Temperature\")\n end\n S([\"Inventory method\"])\n T([\"Carbon sink of various land use types\"])\n U([\"Eddy covariance method\"])\n V([\"Net ecosystem productivity (NEP)\"])\n W([\"Terrestrial carbon sink\"])\n end\n X([\"Carbon variation and balance analysis\"])\n Y([\"Stage wise trend analysis\"])\n Z([\"Carbon sink ratio (CSR)\"])\n \n ide1 ~~~ ide2\n ide2 --> E\n ide2 --> F\n E --> G\n E --> H\n F --> I\n F --> J\n F --> K\n G --> L\n H --> L\n I --> L\n J --> L\n K --> L\n L --> X\n ide3 ~~~ ide4\n ide3 ~~~ ide5\n ide4 --> S\n ide5 --> U\n S -->|Carbon absorption factor| T\n T --> W\n U -->|Heterotrophic respiration| V\n V --> W\n W --> X\n X --> Y\n X --> Z\n\n style ide2 stroke-dasharray: 5 5\n style ide4 stroke-dasharray: 5 5\n style ide5 stroke-dasharray: 5 5\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/c846fda4992489cbe4a8f501a5a32370.png", "anno": "```mermaid\nflowchart TD\n A(\"Identification of studies via databases and registers\")\n B(\"Identification\")\n C[\"Records identified from*:
Databases (n = 324)\"]\n D[\"Records removed before screening:
Duplicate records removed (n = 144)
Records marked as ineligible by automation tools (n = )
Records removed for other
reasons (n = )\"]\n E(\"Screening\")\n F[\"Records screened
(n = 180)\"]\n G[\"Records excluded**
(n = 49)\"]\n H[\"Reports sought for retrieval
(n = 131)\"]\n I[\"Reports not retrieved
(n = 0)\"]\n J[\"Reports assessed for eligibility
(n = 131)\"]\n K[\"Reports excluded:
Wrong design (n = 16)
Full text unavailable (n = 11)
Focus not nursing (n = 2)
Not in English (n = 1)\"]\n L(\"Included\")\n M[\"Studies included in review
(n = 101)\"]\n\n B ~~~ C\n C --> D\n C --> F\n E ~~~ F\n E ~~~ H\n E ~~~ J\n F --> H\n F --> G\n H --> J\n H --> I\n J --> K\n J --> M\n L ~~~ M\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/5aef86d68569037fc072d1fbf37f5fe2.png", "anno": "```mermaid\nflowchart TD\n A[\"Influencing parameter developing S-SOFC electrode\"]\n B{\"Material selection\"}\n C[\"Lithiated materials\"]\n D[\"Cobalt free materials\"]\n E[\"Lanthanum manganite\"]\n F[\"Titanate based materials\"]\n G[\"Ruddlesden-Popper\"]\n H{\"Synthesis method\"}\n I[\"Pros and cons\"]\n J[\"Revolution\"]\n K{\"Enhancement technique\"}\n L[\"Infiltration/impregnation\"]\n M{{\"Fabrication risks\"}}\n N[\"Composite\"]\n O[\"Dopant\"]\n P{{\"Challenges and perspectives\"}}\n Q[\"Decorated functional layer\"]\n\n A --> B\n A --> H\n A --> K\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n H --> I\n I --> J\n K --> L\n L --> M\n L --> N\n N --> O\n O --> P\n O --> Q\n```", "chart_type": "流程图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/86a20d6b27ca19217cb83876c5df2823.png", "anno": "### 生殖中心诊疗流程\n\n```mermaid\nflowchart TD\n A(\"不孕夫妇初诊
预约或挂当日生殖中心专家门诊或普通门诊号就诊\")\n B(\"男性不育
预约或挂当日生殖中心男科门诊号就诊\")\n C(\"女方体检\")\n D(\"卵泡监测\")\n E(\"男科体检\")\n F(\"精液检查\")\n G(\"如异常，对症处理\")\n H(\"异常\")\n I(\"正常\")\n J(\"正常\")\n K(\"异常，男科治疗\")\n L(\"预处理后促排卵\")\n M(\"妊娠\")\n N(\"未孕\")\n O(\"子宫输卵管造影\")\n P(\"轻中度少弱畸精症\")\n Q(\"重度少弱畸精症\")\n R(\"宫、腹腔镜手术\")\n S(\"梗阻\")\n T(\"通畅\")\n U(\"试管婴儿\")\n V(\"人工授精\")\n W(\"试管婴儿\")\n X(\"妊娠\")\n Y(\"3-6个周期未孕\")\n\n A --> B\n A --> C\n A --> D\n B --> E\n B --> F\n C --> G\n D --> H\n D --> I\n F --> J\n F --> K\n H --> L\n I --> O\n J --> O\n K --> P\n K --> Q\n L --> M\n L --> N\n N --> O\n O --> S\n O --> T\n P --> O\n P --> V\n Q --> W\n S --> R\n S --> U\n T --> V\n V --> X\n V --> Y\n Y --> W\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/6bc0d1194bfe4bc7830d7b67926872c6.png", "anno": "```mermaid\nflowchart TD\n A((\" \"))\n B[\"向执行管辖地法院立案庭（或人民法庭）申请执行\"]\n C{\"立案审查\"}\n D[\"符合立案条件,予以立案\"]\n E[\"不符合立案条件\"]\n F[\"裁定不予受理\"]\n G[\"执行局收案\"]\n H[\"送达执行通知书、被执行人财产申报通知 / 无法送达需公告送达\"]\n I{\"主动履行\"}\n J[\"执行和解\"]\n K[\"执行回款\"]\n L[\"强制执行\"]\n M{\"是否首封\"}\n N[\"首封处置协商\"]\n O{\"是否移交\"}\n P[\"参与分配\"]\n Q{\"抵押物中是否有人居住\"}\n R[\"协议腾房\"]\n S[\"强制腾房\"]\n T[\"带租拍卖\"]\n U[\"抵押物评估送达评估报告 /无法送达需公告送达\"]\n V[\"评估报告异议期\"]\n W[\"一拍\"]\n X[\"二拍\"]\n Y[\"三拍\"]\n Z[\"变卖\"]\n AA[\"执行回款\"]\n AB[\"以物抵债\"]\n AC{\"回款是否覆盖执行标的\"}\n AD[\"追溯保证人责任及其他财产\"]\n AE((\" \"))\n \n A --> B\n B --> C\n C --> D\n C --> E\n E --> F\n D --> G\n G --> H\n G --> I\n I -->|是| J\n I -->|否| L\n L --> M\n J --> K\n K -.-> AE\n M -->|否| N\n N --> O\n O -->|是| Q\n O -->|否| P\n P -.-> AA\n M -->|是| Q\n Q --> R\n Q --> S\n Q --> T\n Q --> U\n U --> V\n V --> W\n W --> X\n X --> Y\n Y --> Z\n Z --> AB\n AB --> AC\n W -->|抵押物变现| AA\n X -->|抵押物变现| AA\n Y -->|抵押物变现| AA\n Z --> AA\n AA --> AC\n AC --> AD\n AD --> AE\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/57066fd1fa1154f057277bd07c217d35.png", "anno": "### 妇科门诊就诊流程\n\n```mermaid\nflowchart TD\n A[\"患者挂号\"]\n B[\"专家号直接三楼候诊大厅等候\"]\n C[\"普通号先到分诊护士站第九诊室等候\"]\n D[\"听见叫号进入诊室就诊\"]\n E[\"医生开具相关检单\"]\n F[\"三楼交费\"]\n G[\"妇科检查或B超等检查进入检查室取材\"]\n H[\"抽血检验到三楼合一楼检验中心检验\"]\n I[\"得到结果后过诊室, 连同病历交于医生\"]\n J[\"在诊室门口的过道座椅等候\"]\n K[\"听到自己的名字再进入诊室就诊\"]\n L[\"开药患者一楼交费取药\"]\n M[\"门诊1楼同手术室预约手术\"]\n N[\"妇科治疗室预约门诊治疗\"]\n O[\"开药患者一楼取药\"]\n P[\"开具住院证患者到住院中心楼办理\"]\n\n A --> B\n A --> C\n C --> B\n B --> D\n D --> E\n D --> O\n D --> P\n E --> F\n F --> G\n F --> H\n G --> I\n H --> I\n I --> J\n J --> K\n K --> L\n K --> M\n K --> N\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2b83d3a60e80abdcb1e6556b4161dff8.png", "anno": "### 机动车查验\n\n```mermaid\nflowchart TD\n A[\"设置指示标牌引导车辆在查验场地排队等候\"]\n B[\"提示申请人拓印车辆识别代号\"]\n C[\"查验车辆\"]\n D[\"采集机动车标准照片\"]\n E[\"制作机动车查验记录表\"]\n F[\"与《公告》数据比对\"]\n G[\"使用二维条码枪录入机动车信息\"]\n H[\"与被盗抢机动车信息系统比对\"]\n I[\"将机动车查验记录表内部传递至登记审核岗\"]\n J[\"告知申请人到业务大厅取号排队办理业务\"]\n K[\"通知申请人整改\"]\n L[\"启动嫌疑车辆调查程序\"]\n M[\"启动嫌疑车辆调查程序\"]\n N[\"推行使用PDA机动车查验智能终端\"]\n\n A ==> B\n B ==> C\n C ==> D\n C -->|存在问题| K\n C -->|存在问题| L\n D ==> E\n D --- N\n E ==> F\n E --- N\n F ==> G\n G ==> H\n H ==> I\n H -->|存在问题| M\n I ==> J\n N --- F\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/caa30b4aca9f6655a27ec064858c8a63.png", "anno": "### 离婚登记流程图\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"双方亲自到有管辖权的婚姻登记机关\"}\n B(\"申请\")\n C(\"申请时需提交的材料
1.结婚证，双方需要订立书面离婚协议，
2.符合《婚姻登记工作规范》规定的户口本，身份证等有效证件，
3.现场填写（《离婚登记申请书》（离婚登记通知单）。\")\n D(\"初审\")\n E(\"发《离婚登记申请受理回执单》\")\n F(\"不予受理\")\n G(\"离婚冷静期届满\")\n H(\"撤回离婚登记申请，填写《撤回离婚登记申请书》\")\n I(\"发《撤回离婚登记申请确认单》\")\n J(\"视为撤回离婚登记申请\")\n K(\"审查\")\n L(\"登记，发给离婚证\")\n M(\"不予办理\")\n N(\"办理时需提交的材料
1. 结婚证。
2. 符合《婚姻登记工作规范》规定的户口本、身份证等有效证件。
3. 协商一致的《离婚协议》、2寸红底或蓝底个人证件照2张。
4. 现场填写《离婚登记询问笔录》《离婚登记声明书》《离婚登记审查处理表》。\")\n\n A --> B\n B -.- C\n B --> D\n D -->|初审无误| E\n D -->|不符合条件| F\n E -->|离婚冷静期30日| G\n E -->|30日
任何一方不愿离婚| H\n H -->|核实无误| I\n G -->|30日内
双方未共同到婚姻登记机关申请发给离婚证| J\n G -->|30日内
双方共同到婚姻登记机关申请发给离婚证| K\n K -->|符合条件| L\n K -->|不符合条件| M\n K -.- N\n\n style C fill:none,stroke:#333,stroke-dasharray:5 5\n style N fill:none,stroke:#333,stroke-dasharray:5 5\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c9a80cfb4537b63a741387a976bbd408.png", "anno": "### 诉讼保全工作流程图\n\n```mermaid\nflowchart TD\n A[\"提交诉前财产保全申请所需材料
1、财产保全申请书（写明保全标的额）、起诉状。财产线索：银行账户凭证、房产或车辆查册表等。
2、担保材料：保险公司担保函、保单、发票、诚信声明、员工授权委托、保险公司资质证明。
3、有委托代理人的要提供授权委托材料。
4、相关证据材料。
5、当事人地址确认书。\"]\n B[\"符合条件的裁定保全\"]\n C[\"不符合条件的驳回申请\"]\n D[\"组织实施\"]\n E[\"不起诉\"]\n F[\"起诉\"]\n G[\"裁定解除保全\"]\n H[\"案件移送业务部门\"]\n I[\"解除措施\"]\n J[\"结案归档\"]\n\n A --> B\n A --> C\n B --> D\n D --> E\n D --> F\n E --> G\n F --> H\n G --> I\n I --> J\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/ef9f2041ae504bbc82f0be3091be9ea7.png", "anno": "### 服务流程\n\n```mermaid\nflowchart TD\n A(\"咨询交谈\")\n B(\"审阅证件\")\n C(\"未婚\")\n D(\"身份证
户口本
学历证\")\n E(\"再婚\")\n F(\"身份证
离婚证
户口本
学历证\")\n G(\"真实填写资料
交入会相片\")\n H(\"签订协议\")\n I(\"缴纳费用\")\n J(\"物色对象\")\n K(\"法律咨询\")\n L(\"心理咨询\")\n M(\"安排见面\")\n N(\"满意\")\n O(\"不满意\")\n P(\"交往恋爱\")\n Q(\"登记结婚\")\n\n A ==> B\n B ==> G\n B --- C\n C ==> D\n B --- E\n E ==> F\n G ==> H\n H ==> I\n I ==> J\n J --- K\n J --- L\n J ==> M\n M ==> P\n M ==> N\n M ==> O\n N ==> P\n O ==> J\n P ==> Q\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/13229717fcca3142f4764e6e08d016dd.png", "anno": "### 图1-1 系统前端功能流程图\n\n```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"用户浏览首页\"]\n C[\"购买商品\"]\n D{\"是否已登录?\"}\n E{\"是否已注册?\"}\n F[\"进入购物车页面\"]\n G[\"修改商品数量\"]\n H[\"结算\"]\n I[\"结算\"]\n J[\"购买成功\"]\n K[\"删除商品\"]\n L[\"返回首页\"]\n M[\"退出系统\"]\n N[\"进入注册页面\"]\n O{\"注册信息是否正确?\"}\n P[\"注册成功\"]\n Q[\"注册失败\"]\n R[\"进入登录页面\"]\n S{\"登录信息是否正确?\"}\n T[\"重新进入首页\"]\n U[\"选购商品\"]\n V[\"返回登录页面\"]\n W([\"结束\"])\n\n A --> B\n B --> C\n C --> D\n D -->|是| F\n D -->|否| E\n E -->|是| R\n E -->|否| N\n F --> G\n F --> H\n F --> K\n G --> I\n H --> J\n I --> J\n J --> L\n K --> L\n K --> M\n L --> W\n M --> W\n N --> O\n O -->|是| P\n O -->|否| Q\n P --> R\n Q --> N\n R --> S\n S -->|是| T\n S -->|否| V\n T --> U\n U --> F\n V --> R\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/ff66573e361039ff514c3df44fd3532a.png", "anno": "### 职工法律服务一体化基地工作流程图\n\n```mermaid\nflowchart TD\n A[\"职工向基地提出诉求\"]\n B[\"县总工会、县人民法院、县司法局、县人社局、园区管委会收集职工相关问题\"]\n C[\"基地登记受理\"]\n D[\"诉讼类法律纠纷\"]\n E[\"非诉讼类法律问题(如社险、工伤、心理咨询等)\"]\n F[\"基地向职工送达《调解告知书》\"]\n G[\"由基地安排特邀调解员进行调解\"]\n H[\"调解成功，由仲裁庭或法院制作调解书\"]\n I[\"职工不同意调解或调解不成功，移交劳动仲裁庭立案，进入仲裁程序\"]\n J[\"结案，由基地进行归档\"]\n K[\"仲裁成功，结案\"]\n L[\"职工不服仲裁结果，提起诉讼，进入法院诉讼程序\"]\n M[\"由基地相关部门共同协商解决\"]\n N[\"基地办公室汇总案件信息，并归档\"]\n\n A --> C\n B --> C\n C --> D\n C --> E\n D --> F\n F --> G\n G --> H\n G --> I\n H --> J\n I --> K\n I --> L\n E --> M\n J --> N\n K --> N\n L --> N\n M --> N\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a08d16a9be48b0fbac5361ab53cbf778.png", "anno": "### 生活垃圾投放及积分兑换流程\n\n```mermaid\nflowchart TD\n subgraph id1 [\" \"]\n A[\"投放者领卡\"]\n B[\"填报个人信息\"]\n end\n subgraph id2 [\" \"]\n C[\"有害垃圾\"]\n D[\"餐厨垃圾\"]\n E[\"可回收垃圾\"]\n end\n F[\"扫卡处扫卡\"]\n G[\"取条形码\"]\n H[\"贴于垃圾袋或投放物品上\"]\n subgraph id3 [\" \"]\n I[\"有害垃圾\"]\n J[\"餐厨垃圾\"]\n K[\"可回收垃圾\"]\n end\n L[\"管理员扫码\"]\n M[\"积分\"]\n N[\"兑换点兑换相应物品\"]\n \n A ==> B\n id1 ==> id2\n C ==>|袋装| F\n D ==>|袋装| F\n E ==>|袋装| F\n F ==> G\n G ==> H\n H ==>|分别对应投入分类桶| I\n H ==>|分别对应投入分类桶| J\n H ==>|分别对应投入分类桶| K\n I ==> L\n J ==> L\n K ==> L\n L ==> M\n M ==> N\n\n linkStyle 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14 stroke:#ff0000\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/1241a7025981582c5eeca89069fb7c19.png", "anno": "### 黄岩区征兵体检流程图\n\n```mermaid\nflowchart TD\n A[\"登记\"]\n B[\"照相\"]\n C[\"血尿检验\"]\n D[\"B超\"]\n E[\"外科检验\"]\n F[\"眼科\"]\n G[\"听嗅觉\"]\n H[\"血压\"]\n I[\"耳鼻咽喉科\"]\n J[\"口腔科\"]\n K[\"内科\"]\n L[\"主检预审\"]\n M[\"心电图\"]\n N[\"适应性检测\"]\n O[\"胸透\"]\n\n A ==> B\n B ==> C\n C ==> D\n D ==> E\n E ==> F\n F ==> G\n G ==> H\n H ==> I\n I ==> J\n J ==> K\n K ==> L\n L ==> M\n M ==> N\n N ==> O\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/f7b5a89304fbd0469b3ae9ad3471e0d2.png", "anno": "### 安全监控程序\n\n```mermaid\nflowchart TD\n A[\"熟悉设计图纸、监理规划\"]\n B[\"编制安全监理细则\"]\n C[\"审查施工单位安全保障措施
施工监理交底会\"]\n D[\"调查可能导致意外伤害事故原因\"]\n E[\"督促总承包单位与分包单位签订安全协议\"]\n F[\"审查施工单位安全保证系统\"]\n G[\"检查施工单位安全措施的落实\"]\n H[\"协助项目管理机构与施工方签订安全协议\"]\n I[\"掌握“四新”标准\"]\n J[\"定期检查，日常跟踪，作好记录\"]\n K[\"安全出现异常，下达“暂时停工令”\"]\n L[\"已发生的事故进行了有效处理，继续施工\"]\n M[\"安全工作总结，报项目管理机构\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n D --> H\n H --> I\n I --> J\n G --> J\n J --> K\n K --> L\n L --> M\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/8cc68a68bc55e793df4f2c88145db9c8.png", "anno": "### 孕前优生健康检查工作流程\n\n```mermaid\nflowchart TD\n A[\"受检者使用二代身份证进入“一证通”系统，获取基础信息，填写家庭档案首页及知情同意书\"]\n B[\"夫妻双方实验室检查（六楼化验室）\"]\n C[\"分诊（护士站）\"]\n D[\"问诊、体格，男科检查（男科）\"]\n E[\"B超检查（B超室）\"]\n F[\"问诊、体格，妇科检查（女）\"]\n G[\"双方检查完成，收集、核对家庭档案（护士站）\"]\n H[\"结果评估、发放（女科）\"]\n I[\"档案归档、开具证明（档案室）\"]\n J[\"高风险人群
（经评估存在一项或多项异常）
妇女怀孕3个月内需联系区妇计中心\"]\n K[\"一般人群
（经评估未发现异常）
妇女怀孕3个月内需联系所在街办计生服务机构\"]\n L[\"早孕随访（停经2周内）\"]\n M(\"告知评估结果提出进一步检查、治疗、转诊等医学建议和干预措施提供个性化咨询指导\")\n N[\"妊娠结局随访
（分娩后6周内或其他妊娠结局结束后2周）\"]\n\n A --> B\n B --> C\n C ==>|丈夫| D\n C ==>|妻子| E\n D --> G\n E --> F\n F --> G\n G --> H\n M --> H\n H --> I\n I --> J\n I --> K\n J <--> K\n J <--> L\n K <--> L\n L --> N\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b167018cd60ac435f3d87d84d0a59bc4.png", "anno": "### 建强构架，实现党的组织全覆盖\n\n```mermaid\nflowchart TD\n A(\"街道党工委\")\n B(\"社区党支部\")\n C(\"区域党委\")\n D(\"驻区单位\")\n E(\"“两新”组织\")\n F(\"“同屋檐”党小组
负责退休党员、高龄党员的服务管理\")\n G(\"“e联通”党小组
负责年轻党员、在职党员的服务管理\")\n H(\"“星火”党小组
负责群众自治组织、文艺团体、志愿服务队伍党员的服务管理\")\n I(\"“红色物业”党小组
负责物业公司党员的服务管理\")\n J(\"中弘中央广场社区
(5个网格, 1500户, 4700人)\")\n\n A --- B\n B --> C\n D --> C\n E --> C\n C --- F\n C --- G\n C --- H\n C --- I\n F --- J\n G --- J\n H --- J\n I --- J\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b6982a8ec2951694585852b114bdfd9a.png", "anno": "### 心脏急救绿色通道流程\n\n```mermaid\nflowchart TD\n A(\"院外发病后\")\n B(\"拨打120，启动车载
远程会诊，即刻会诊
中心指导治疗\")\n C(\"自行来急诊中心\")\n D(\"分诊员导引\")\n E(\"抢救室\")\n F(\"诊查室\")\n G(\"心导管室\")\n H(\"ICU
CCU\")\n I(\"观察室\")\n J(\"病房\")\n K(\"院外随诊\")\n\n A --> B\n A --> C\n B --> E\n B --> F\n B -.-> G\n C --> D\n D --> E\n D --> F\n D -.-> G\n E --> G\n E --> H\n E --> I\n F --> I\n F --> J\n F --> K\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/4ed09d792c00f10df51d88fbd6345522.png", "anno": "### 门诊预约流程\n\n```mermaid\nflowchart TD\n A[\"患者\"]\n B[\"电话预约\"]\n C[\"网络预约\"]\n D[\"现场预约\"]\n E[\"拨打电话:0379-67920103\"]\n F[\"孟津县第二人民医院趣医APP\"]\n G[\"预约诊疗登记处(填写信息)\"]\n H[\"选择诊室、医师及就诊时间\"]\n I[\"填写资料根据提示选择诊室、医师及就诊时间\"]\n J[\"就诊当天到预约处(导诊台)优先分诊\"]\n K[\"诊室就诊\"]\n L[\"检查化验\"]\n M[\"住院治疗\"]\n N[\"门诊治疗\"]\n O[\"离院\"]\n\n A --> B\n A --> C\n A --> D\n B --> E\n C --> F\n D --> G\n E --> H\n F --> I\n H --> J\n I --> J\n G --> J\n J --> K\n K --> L\n K --> N\n M --> O\n N --> O\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/5e5d1f104fc0529871e35baa7e659061.png", "anno": "### 成都搜房网房产交易全流程\n\n```mermaid\nflowchart TD\n A[\"买方\"]\n B[\"填写看房确认书\"]\n C[\"卖方\"]\n D[\"填写卖房委托书\"]\n E[\"看房 洽谈 满意\"]\n F[\"签约购房合同 买方支付定金给卖方，买方\"]\n G[\"备齐资料, 准备房款\"]\n H[\"备齐资料, 取房产证\"]\n I[\"签署贷款合同, 房管局过户\"]\n J[\"买方付清房款\"]\n K[\"卖方腾出房屋\"]\n L[\"卖房结清之前的所有物业相关费用后, 交房给买方\"]\n M[\"售后跟踪服务\"]\n\n A ==> B\n C ==> D\n B ==> E\n D ==> E\n E ==> F\n F ==> G\n F ==> H\n G ==> I\n H ==> I\n I ==> J\n I ==> K\n J ==> L\n K ==> L\n L ==> M\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/6f3e4955e96e8539160dcc08139e01fb.png", "anno": "```mermaid\nflowchart TD\n A(\"登陆网站: www.sdzk.gov.cn\")\n B(\"阅读报考须知\")\n C(\"阅读报名办法\")\n D(\"查询报考院校\")\n E(\"查询报考专业\")\n F(\"点击“开始报名”\")\n G(\"填写报考信息\")\n H(\"提交信息, 并用笔记下或打印报名序号\")\n I(\"凭报名序号到县(区)招生办公室确认信息\")\n J(\"报名结束\")\n\n A --> B\n A --> C\n A --> D\n A --> E\n B --> F\n C --> F\n D --> F\n E --> F\n F --> G\n G --> H\n H --> I\n I --> J\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/fb6349b58379a2289f136851b9992ee6.png", "anno": "### 电子路考考试流程\n\n```mermaid\nflowchart TD\n A(\"按时间场次在候考大厅等待\")\n B(\"根据大屏显示的场次有序排队,通过核对预约凭证依次进入一级候考室\")\n C(\"用二代身份证在一级候考室闸机处签到、拍照\")\n D(\"成功\")\n E(\"不成功\")\n F(\"在人工签到处签到、拍照\")\n G(\"进入二级候考室\")\n H(\"听到叫号（自动或人工）用二代身份证在发车区入口处核对考生分配信息\")\n I(\"经过发车长廊,找到自动分配的考试车
报告安全员,允许后上车考试\")\n J(\"考试结束
签字处签字\")\n\n A ==> B\n B ==> C\n C ==> D\n C ==> E\n D ==> G\n E ==> F\n F ==> G\n G ==> H\n H ==> I\n I ==> J\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/f9f78816d32e16784e38ba95844d822d.png", "anno": "### 劳动纠纷提交立案流程\n\n```mermaid\nflowchart TD\n A(\"第一步
总服务台分流\")\n B(\"第二步
初审窗口办理\")\n C(\"第三步
综合立案窗口办理\")\n D([\"确认管辖\"])\n E([\"领取材料参照模板填写\"])\n F([\"领取初审号码\"])\n G([\"等待叫号\"])\n H([\"材料审核\"])\n I([\"换取综合立案号码\"])\n J([\"等待叫号\"])\n K([\"材料审核\"])\n\n A ==> B\n A --> D\n A --> E\n A --> F\n B ==> C\n B --> G\n B --> H\n B --> I\n C --> J\n C --> K\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/5ad2fa2699cc3639cdcf48d05c7848d2.png", "anno": "### 售后维修流程图\n\n```mermaid\nflowchart TD\n A[\"工程部移交的问题\"]\n B[\"业主报修的问题\"]\n C[\"物业公司移交的问题\"]\n D[\"现场查看是工程质量问题还是业主使用问题\"]\n E[\"查看问题是否在保修期内\"]\n F[\"通知责任单位限期完成维修\"]\n G[\"监督维修状况\"]\n H[\"判断是否能够按期完成维修工作\"]\n I[\"书面通知保修责任单位派第三方进行维修\"]\n J[\"安排第三方维修\"]\n K[\"施工单位自检\"]\n L[\"业主签字,维修完成\"]\n\n A --- B\n B --> D\n C --- B\n D -->|工程质量问题| E\n D -->|业主使用问题| L\n E -->|在保修期内| F\n E -->|不在保修期内| L\n F -->|责任单位按要求维修| G\n G --> H\n F -->|责任单位不能按要求维修| I\n H -->|能按期完成| K\n H -->|不能按期完成| I\n I --> J\n J --> K\n K--> L\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/de26b65d45b03ff541a82071e5d4461e.png", "anno": "### 学校一日工作流程图\n\n```mermaid\nflowchart TD\n A[\"师生佩戴口罩按时间点错峰到校\"]\n B[\"校门口有序排队测量体温\"]\n C[\"体温正常上班、上学\"]\n D[\"体温异常\"]\n E[\"班级晨、午检\"]\n F[\"体温正常\"]\n G[\"体温异常\"]\n H[\"隔离室\"]\n I[\"登记\"]\n J[\"通知班主任、家长\"]\n K[\"就医\"]\n L[\"复学证明\"]\n M[\"上课\"]\n N[\"有序错时放学\"]\n O[\"信息上报\"]\n\n A --> B\n B --> C\n B --> D\n C --> E\n E --> F\n E --> G\n D --> H\n G --> H\n H --> I\n I --> J\n J --> K\n K --> L\n F --> M\n L --> M\n M --> N\n N --> O\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/dbc9af27b6bb9380410cb13f219145af.png", "anno": "### 装修施工流程图\n\n```mermaid\nflowchart TD\n A[\"开工材料进场闭水实验\"]\n B[\"主体拆改\"]\n C[\"各种设计、测量\"]\n D[\"水路、暖通改造\"]\n E[\"电路改造\"]\n F[\"装饰吊顶、垭口、窗套、木家具制作等木工工程\"]\n G[\"厨房、卫生间防水\"]\n H[\"瓷砖等瓦工工程\"]\n I[\"墙基层处理、刮腻子\"]\n J[\"油饰工程\"]\n K[\"厨卫吊顶\"]\n L[\"木门橱柜等安装\"]\n M[\"木地板工程\"]\n N[\"壁纸工程\"]\n O[\"各种安装\"]\n P[\"保洁\"]\n Q[\"家具、电器、配饰入场\"]\n\n A ==> B\n B ==> C\n C ==> D\n C ==> E\n D ==>|各项隐蔽工程| F\n D ==>|各项隐蔽工程| G\n G ==> H\n H ==> I\n I ==> J\n J ==> K\n K ==> L\n L ==> M\n M ==> N\n N ==> O\n O ==> P\n P ~~~ Q\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/33617f2d210609b72aa9c95e11dd62f3.png", "anno": "### 浦兴路街道居民区“全岗通”工作流程\n\n```mermaid\nflowchart TD\n A(\"全岗通\")\n B(\"居委接待\")\n C(\"区域走访\")\n D(\"一口受理事项\")\n E(\"紧急疑难事项\")\n F(\"专业限时办理事项\")\n G(\"即时办理事项\")\n H(\"居委书记或主任\")\n I(\"需协同\")\n J(\"条线社工\")\n K(\"需协同\")\n L(\"街道职能部门\")\n M(\"办结\")\n\n A --> B\n A --> C\n B --> D\n C --> D\n D --> E\n D --> F\n D --> G\n E --> H\n F --> J\n J --- I\n I --> H\n H --> M\n H --- K\n K --> L\n L --> M\n J --> M\n G --> M\n \n linkStyle 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16 stroke:#ff0000\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/427c03931d10f037d7378070aea41a2e.png", "anno": "### 门诊就诊流程\n\n```mermaid\nflowchart TD\n A[\"身份证患者\"]\n B[\"农行借记卡患者\"]\n C[\"无身份证或借记卡患者\"]\n D[\"自助设备\"]\n E[\"人工挂号收款窗口\"]\n F[\"建立个人账户、充值、挂号、打印指引单或发票\"]\n G[\"农行自助设备签约(建户)\"]\n H[\"自助设备\"]\n I[\"人工挂号收款窗口\"]\n J[\"充值、挂号、打印指引单或发票\"]\n K[\"人工挂号收款窗口\"]\n L[\"挂号、领取就诊卡\"]\n M[\"持指引单或发票到门诊护士站排队等待分诊\"]\n N[\"患者到医生站就诊\"]\n O[\"身份证或借记卡患者\"]\n P[\"就诊卡患者\"]\n Q[\"账户余额足\"]\n R[\"余额不足\"]\n S[\"自助设备\"]\n T[\"人工挂号收款窗口\"]\n U[\"自助缴费\"]\n V[\"缴费\"]\n W[\"人工缴费领取发票\"]\n X[\"凭发票拿药或做检验、检查\"]\n Y[\"药品、检验、检查在相应科室扣费\"]\n Z[\"如需发票或提取账户余额\"]\n AA[\"指定人工窗口\"]\n\n A --> D\n A --> E\n D --> F\n E --> F\n B --> G\n G --> H\n G --> I\n H --> J\n I --> J\n C --> K\n K --> L\n F --> M\n J --> M\n L --> M\n M --> N\n N --> O\n N --> P\n O --> Q\n O --> R\n P --> W\n W --> X\n Q --> Y\n R --> S\n S --> U\n R --> T\n T --> V\n U --> Y\n V --> Y\n Y --> Z\n Z --> AA\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2aed103ea558060cc99705a711cc9863.png", "anno": "### 交通违法自助处理流程\n\n```mermaid\nflowchart TD\n A[\"进入违法处理\"]\n B[\"告知\"]\n C[\"输入车牌号、输入车辆识别代码(后六位)\"]\n D[\"选取待处理记录(可看违法图片)\"]\n E[\"选择其中一条交通违法处理\"]\n F[\"本人处理\"]\n G[\"其他证件处理\"]\n H[\"验证驾驶证信息\"]\n I[\"输入验证码\"]\n J[\"结果信息确认\"]\n K[\"提示已处理违法清单\"]\n L[\"网上缴费\"]\n M[\"更换驾驶证\"]\n N[\"获取二次验证码\"]\n O[\"输入验证码\"]\n P[\"结果信息确认\"]\n Q[\"提示已处理违法清单\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n E --> G\n F --> H\n H --> I\n I --> J\n J --> K\n K --> L\n G --> M\n M --> N\n N --> O\n O --> P\n P --> Q\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/05417f38a249a708a740b584bd941e26.png", "anno": "### 流程图\n\n```mermaid\nflowchart TD\n A((\"上级交办、群众举报，其它途径\"))\n B[\"立案\"]\n C[\"执法人员最少两人，出示证件，说明来意告知相对人权利和义务\"]\n D[\"对相关人员进行调查取证\"]\n E[\"对本次处罚的合法性进行讨论\"]\n F[\"报相关领导审核\"]\n G[\"向行政相对人进行处罚告知，听证告知\"]\n H[\"召开听证会\"]\n I[\"维持该处罚决定\"]\n J[\"不支持该处罚决定\"]\n K[\"补齐相关材料\"]\n L[\"向领导呈批\"]\n M[\"下达处罚决定书\"]\n N[\"处罚决定书送达回执并开具罚没收据\"]\n O[\"行政相对人去银行交款\"]\n P((\"结案并归档\"))\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G -->|不需听证| L\n G -->|听证| H\n H --> I\n H --> J\n I --> L\n J --> K\n K --> D\n L --> M\n M --> N\n N --> O\n O --> P\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/6949af877ff0307d233cbc94e81e7226.png", "anno": "### 黄家店组织管理架构图\n\n```mermaid\nflowchart TD\n A[\"大庄社区第三党支部\"]\n B[\"支部书记\"]\n C[\"支部委员\"]\n D[\"支部委员\"]\n E[\"支部委员\"]\n F[\"支部委员\"]\n G[\"村民会议（村民代表会议）\"]\n H[\"村民小组\"]\n I[\"村民理事会\"]\n J[\"第一村民小组\"]\n K[\"第二村民小组\"]\n L[\"第三村民小组\"]\n M[\"第四村民小组\"]\n N[\"小组长\"]\n O[\"小组长\"]\n P[\"小组长\"]\n Q[\"小组长\"]\n R[\"理事长\"]\n S[\"理事\"]\n T[\"理事\"]\n U[\"理事\"]\n V[\"理事\"]\n W[\"理事\"]\n X[\"理事\"]\n\n A ==> B\n A ==> G\n B ==> C\n B ==> D\n B ==> E\n B ==> F\n G ==> H\n G ==> I\n H ==> J\n H ==> K\n H ==> L\n H ==> M\n H ==> I\n I ==> R\n J ==> N\n K ==> O\n L ==> P\n M ==> Q\n R ==> S\n R ==> T\n R ==> U\n R ==> V\n R ==> W\n R ==> X\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/583ec78cde6458d52c1379393d8a9936.png", "anno": "### 黄岩区征兵体检流程图\n\n```mermaid\nflowchart TD\n A[\"登记\"]\n B[\"照相\"]\n C[\"血尿检验\"]\n D[\"B超\"]\n E[\"外科检验\"]\n F[\"眼科\"]\n G[\"听嗅觉\"]\n H[\"血压\"]\n I[\"耳鼻咽喉科\"]\n J[\"口腔科\"]\n K[\"内科\"]\n L[\"主检预审\"]\n M[\"心电图\"]\n N[\"适应性检测\"]\n O[\"胸透\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G --> H\n H --> I\n I --> J\n J --> K\n K --> L\n L --> M\n M --> N\n N --> O\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/7aa289268e1b364d87d8e4354998bee4.png", "anno": "### 泉州第三医院病人门诊、住院、转院、出院流程图\n\n```mermaid\nflowchart TD\n A[\"患者就医\"]\n B[\"挂号\"]\n C[\"医生就诊\"]\n D[\"住院处办理住院手续\"]\n E[\"继续门诊诊疗\"]\n F[\"住院部\"]\n G[\"请他科会诊\"]\n H[\"住院处办理出院手续出院\"]\n I[\"住院处办理出院后转院\"]\n J[\"老年人、残疾及重症者由医护人员护送转院\"]\n K[\"辅助检查治疗确认\"]\n L[\"需辅助检查者\"]\n M[\"无需辅助检查者\"]\n N[\"收费处\"]\n O[\"药房取药\"]\n \n A --> B\n B --> C\n C --> D\n C -->|进行诊疗行为| E\n D -->|护送病人住院| F\n F -->|合并他科疾病| G\n F -->|经治疗符合出院指标| H\n G -->|需转他院治疗| I\n G -->|不需转综合医院，继续治疗至符合出院指标| H\n I --> J\n E --> K\n E --> L\n E --> M\n K --> O\n L --> N\n M --> N\n N --> K\n N --> O\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/80dd32fa86aaffcc1b9352c426cb6a6e.png", "anno": "### 事故应急处理流程\n\n```mermaid\nflowchart TD\n A[\"事故发生\"]\n B[\"启动应急预案\"]\n C[\"应急接洽\"]\n D[\"报告学校领导\"]\n E[\"临时向上级报告\"]\n F[\"医疗救援\"]\n G[\"现场指挥\"]\n H[\"联系亲属\"]\n I[\"协调力量\\n全面处理事故\"]\n J[\"善后处理\\n责任追究\"]\n\n A --> B\n B --> C\n B --> D\n B --> F\n D --> E\n E --> G\n G --> F\n G --> H\n G --> I\n I --> J\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d19ecabd0cc5e1e41df782faa023671c.png", "anno": "### 唐山市住房“以旧换新”平台业务流程图\n\n```mermaid\nflowchart TD\n A(\"换购人\")\n B(\"唐山市住房以旧换新业务平台\")\n C(\"房企\")\n D(\"新房房源库\")\n E(\"换购人选房\")\n F(\"核验旧房\")\n G(\"双方达成换购意向\")\n H(\"缴纳新房意向金\")\n I(\"评估旧房房源\")\n J(\"确认评估结果\")\n K@{shape: text, label: \" \"}\n L@{shape: text, label: \" \"}\n M(\"签订协议\")\n N(\"重新选择同一开发商房源\")\n O(\"可免费代售3个月\")\n P(\"终止换购流程\")\n\n A ==>|登录平台| B\n B ==> D\n C ==>|发布商品房| B\n C -->|确认收购旧房房源| G\n D ==> E\n F --o E\n F -->|选择新房房源| G\n G ==> H\n H ==> I\n I ==> J\n J ==>|认同| K\n J ==>|不认同| L\n K --> M\n K -->|但不满足置换标准| M\n L --> O\n L --> P\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2d6bef3e565e805e0b80f7794d830817.png", "anno": "### 农村宅基地用地建房申请审批办理流程图\n\n```mermaid\nflowchart TD\n A[\"农户书面申请\"]\n B[\"村民小组或村级组织讨论、公示\"]\n C[\"村级组织调查\"]\n D[\"村级组织审查\"]\n E[\"撤销或修改方案再公示\"]\n F[\"乡镇政府组织部门联审\"]\n G[\"乡镇政府一次性告知申请人需要补正的全部要求\"]\n H[\"乡镇政府依法答复申请人\"]\n I[\"乡镇政府予以批准；发放《农村宅基地批准书》和乡村建设规划许可证\"]\n\n A --> B\n B -->|公示有异议| C\n B -->|公示无异议| D\n C -->|异议不成立| D\n C -->|异议成立| E\n E -->|公示无异议| D\n D -->|审查通过
报送| F\n F -->|材料不完备| G\n G ---> A\n F -->|不符合申请条件| H\n F -->|联审合格| I\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d70785c60c97b95862c32ed981f8329c.png", "anno": "### 生殖中心诊疗流程\n\n```mermaid\nflowchart TD\n A[\"不孕夫妇初诊
预约或挂当日生殖中心专家门诊或普通门诊号就诊\"]\n B[\"男性不育
预约或挂当日生殖中心男科门诊号就诊\"]\n C[\"女方体检\"]\n D[\"卵泡监测\"]\n E[\"男科体检\"]\n F[\"精液检查\"]\n G[\"如异常，对症处理\"]\n H[\"异常\"]\n I[\"正常\"]\n J[\"正常\"]\n K[\"异常，男科治疗\"]\n L[\"预处理后促排卵\"]\n M[\"妊娠\"]\n N[\"未孕\"]\n O[\"子宫输卵管造影\"]\n P[\"轻中度少弱畸精症\"]\n Q[\"重度少弱畸精症\"]\n R[\"梗阻\"]\n S[\"通畅\"]\n T[\"宫、腹腔镜手术\"]\n U[\"试管婴儿\"]\n V[\"人工授精\"]\n W[\"试管婴儿\"]\n X[\"妊娠\"]\n Y[\"3-6个周期未孕\"]\n\n A --> B\n A --> C\n A --> D\n B --> E\n B --> F\n C --> G\n D --> H\n D --> I\n H --> L\n L --> M\n L --> N\n N --> O\n I --> O\n F --> J\n F --> K\n J --> O\n K --> P\n P --> O\n K --> Q\n O --> R\n O --> S\n R --> T\n R --> U\n S --> V\n P --> V\n Q --> W\n V --> X\n V --> Y\n Y --> W\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/10d9dcfa7424bbb9cd7e9ca55d9e3f04.png", "anno": "### 死亡证明章盖章流程\n\n```mermaid\nflowchart TD\n A[\"接到临床科室任务\"]\n B[\"死亡证明书、担保书送到指定科室\"]\n C[\"登记（流水号、姓名、科室、住院号、日期、时间）\"]\n D[\"双方签字确认\"]\n E[\"告知医务人员盖章流程及注意事项\"]\n F[\"医师填写完毕后，家属按照所告知程序依次盖章、签字\"]\n G[\"最后到医辅部盖章（注意手续是否齐全）\"]\n H[\"双方确认签字\"]\n I[\"最后两联交由家属保管\"]\n J[\"死亡证明书上报防保科\"]\n K[\"证明存根由医辅部保存\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G --> H\n H --> I\n H --> J\n H --> K\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a4419e30783f71fdfaba82e3f7bd7a0d.png", "anno": "### 50年代全国院系调整时期河南大学院系调整情况示意图\n\n```mermaid\nflowchart TD\n A[\"河南大学（1950-1953年）\"]\n B[\"医学院\"]\n C[\"河南医学院\"]\n D[\"河南医科大学\"]\n E[\"郑州大学医学院\"]\n F[\"行政学院\"]\n G[\"河南省政府干部学校\"]\n H[\"河南财经政法大学\"]\n I[\"农学院\"]\n J[\"河南农学院\"]\n K[\"河南农业大学\"]\n L[\"畜牧兽医系\"]\n M[\"江西农学院\"]\n N[\"江西农业大学\"]\n O[\"植物病虫害系\"]\n P[\"华中农学院\"]\n Q[\"华中农业大学\"]\n R[\"水利系\"]\n S[\"武汉大学\"]\n T[\"中南矿冶学院\"]\n U[\"中南大学\"]\n V[\"文教学院\"]\n W[\"财经系\"]\n X[\"中原大学\"]\n Y[\"中南财经政法大学\"]\n Z[\"数理专业\"]\n AA[\"湖南大学\"]\n AB[\"土木工程专业\"]\n AC[\"湖南大学\"]\n AD[\"英语专业\"]\n AE[\"中山大学\"]\n AF[\"平原师范学院（1953年）\"]\n AG[\"河南师范学院（1953年）\"]\n AH[\"开封师范学院（1956年）\"]\n AI[\"河南师范大学（1979年）\"]\n AJ[\"河南大学（1984年）\"]\n AK[\"新乡师范学院（1956年）\"]\n AL[\"河南师范大学\"]\n\n A === B\n B ==>|独立| C\n C ==> D\n D ==> E\n A === F\n F ==>|独立| G\n G ==> H\n A === I\n I ==>|独立| J\n J ==> K\n I === L\n L ==>|并入| M\n M ==> N\n I === O\n O ==>|并入| P\n P ==> Q\n I === R\n R ==>|并入| S\n R ==>|调入| T\n T ==> U\n A === V\n V === W\n W ==>|并入| X\n X ==> Y\n V === Z\n Z ==>|并入| AA\n V === AB\n AB ==>|并入| AC\n V === AD\n AD ==>|并入| AE\n AF ==>|合并| AG\n A ==> AG\n AG ==> AH\n AG ==> AK\n AH ==> AI\n AI ==> AJ\n AK ==> AL\n\n linkStyle 2,3,6,9,12,15,19,23,36 stroke:#96856F\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/1ab34fa2a26f4813dd786e4e85e26001.png", "anno": "```mermaid\nflowchart TD\n A@{ shape: hex, label: \"自学人员申领驾驶证\"}\n B[\"携带身份证明,身体条件证明、照片\"]\n C[\"到支队车管所办理驾驶证自学直考申请\"]\n D[\"行在互联网上搜索考试题库,自学交通安全法律法规和相关知识、安全文明驾驶常识\"]\n E[\"网上预约科目一、网上缴费、考试合格,领取学习驾驶证明\"]\n F[\"自学用车上线检测合格(车辆检测可提前到申请受理环节)\"]\n G[\"自学人员、随车指导人员一起到车管所申请学车专用标识\"]\n H[\"自学人员需要变更随车指导人员、变更自学用车\"]\n I[\"车管所签注核发学车专用标识\"]\n J[\"自学人员、随车指导人员使用自学用车开展自学训练\"]\n K[\"网上预约科目二、科目三(路考、理论),考试合格的,当日安排参加安全警示教育、宣誓仪式并领取驾驶证\"]\n L[\"自学人员、随车指导人员、自学用车所有人申请终止自学训练\"]\n M[\"车管所注销学车专用标识，公告作废\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G --> I\n H --> I\n I --> J\n J --> K\n K --> M\n L --> M\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/403a8b32f69a00b039668240e2fecdb8.png", "anno": "### 兴隆镇磨石村挂牌作战组织机构\n\n```mermaid\nflowchart TD\n A[\"市级督战领导\"]\n B[\"张强 市政府副市长\"]\n C[\"县级作战领导\"]\n D[\"唐正林 县委常委、县政法委书记\"]\n E[\"乡镇作战领导\"]\n F[\"张育军 兴隆镇党委书记 王泽勤 兴隆镇政府副镇长\"]\n G[\"镇村作战人员\"]\n H[\"吕磊 兴隆镇磨石村第一书记、驻村工作队长\"]\n I[\"张贵方 兴隆镇磨石村驻村工作队员\"]\n J[\"李昊 兴隆镇磨石村驻村工作队员\"]\n K[\"曹梅 兴隆镇磨石村驻村工作队员\"]\n L[\"陈富贵 兴隆镇磨石村驻村干部\"]\n M[\"刘秀秀 兴隆镇磨石村驻村干部\"]\n N[\"李勉勋 兴隆镇磨石村驻村干部\"]\n O[\"王亮 兴隆镇磨石村健康专干\"]\n P[\"王小军 兴隆镇磨石村委会副主任\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G --> H\n G --> I\n G --> J\n G --> K\n G --> L\n G --> M\n G --> N\n G --> O\n G --> P\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/70b70e35b199b2521e1b1ee433066d16.png", "anno": "### 学生返校报到流程图\n\n```mermaid\nflowchart TD\n A[\"返校学生\"]\n B[\"校门前检测, 有、无发热或呼吸道等症状\"]\n C[\"有, 入临时等候区等候, 送定点医院发热门诊排查\"]\n D[\"向属地疾控报告, 并在疾控部门指导下消毒、隔离\"]\n E[\"到校内隔离室\"]\n F[\"无, 凭学生证或校园卡, 出示一码一卡入校, 到学院报到区进行证件查验、消毒和信息登记等事项\"]\n G[\"发现异常\"]\n H[\"到体育馆进行核酸检测\"]\n I[\"正常, 持学院审核通知单和参加核酸检测证明, 前往学生宿舍体温检测, 登记入住\"]\n\n A --> B\n B --> C\n B --> F\n C -->|疑似| D\n C -->|排除| E\n F --> H\n F --> G\n G --> E\n H --> I\n I -->|发现异常| E\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/67401152b289ef7026b6267847a89071.png", "anno": "### 离婚登记办理程序\n\n```mermaid\nflowchart TD\n A(\"申请\")\n B(\"申请时需提交的材料：
1.结婚证；
2.符合《婚姻登记工作规范》第二十九条至第三十五条规定的有效身份证件；
3.现场填写《离婚登记申请书》。\")\n C(\"初审\")\n D(\"发《离婚登记申请受理回执单》\")\n E(\"不予受理\")\n F(\"离婚冷静期届满\")\n G(\"撤回离婚登记申请，填写《撤回离婚登记申请书》\")\n H(\"发《撤回离婚登记申请确认单》\")\n I(\"视为撤回离婚登记申请\")\n J(\"审查\")\n K(\"登记，发给离婚证\")\n L(\"不予受理\")\n\n A -.- B\n A --> C\n C -->|初审无误| D\n C -->|不符合条件| E\n D -->|离婚冷静期30日| F\n D -->|离婚冷静期30日
30日内
任何一方不愿离婚| G\n G -->|核实无误| H\n F -->|30日内
双方未共同到婚姻登记机关一申请发给离婚证| I\n F -->|30日内
双方共同到婚姻登记机关申请发给离婚证| J\n J -->|符合条件| K\n J -->|不符合条件| L\n\n style B fill:none,stroke:#333,stroke-dasharray:5 5\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c45b3cc20076cc3c5f60f94386937fa0.png", "anno": "### 门诊就诊流程\n\n```mermaid\nflowchart TD\n A[\"身份证患者\"]\n B[\"农行借记卡患者\"]\n C[\"无身份证或借记卡患者\"]\n D[\"自助设备\"]\n E[\"人工挂号收款窗口\"]\n F[\"建立个人账户、充值、挂号、打印指引单或发票\"]\n G[\"农行自助设备签约(建户)\"]\n H[\"自助设备\"]\n I[\"人工挂号收款窗口\"]\n J[\"充值、挂号、打印指引单或发票\"]\n K[\"人工挂号收款窗口\"]\n L[\"挂号、领取就诊卡\"]\n M[\"持指引单或发票到门诊护士站排队等待分诊\"]\n N[\"患者到医生站就诊\"]\n O[\"身份证或借记卡患者\"]\n P[\"就诊卡患者\"]\n Q[\"人工缴费领取发票\"]\n R[\"凭发票拿药或做检验、检查\"]\n S[\"账户余额足\"]\n T[\"余额不足\"]\n U[\"自助设备\"]\n V[\"人工挂号收款窗口\"]\n W[\"自助缴费\"]\n X[\"缴费\"]\n Y[\"药品、检验、检查在相应科室扣费\"]\n Z[\"如需发票或提取联黄区\"]\n AA[\"指定人工窗口\"]\n\n A --> D\n A --> E\n D --> F\n E --> F\n B --> G\n G --> H\n G --> I\n H --> J\n I --> J\n C --> K\n K --> L\n F --> M\n J --> M\n L --> M\n M --> N\n N --> O\n N --> P\n P --> Q\n Q --> R\n O --> S\n O --> T\n T --> U\n T --> V\n U --> W\n V --> X\n X --> Y\n W --> Y\n S --> Y\n Y --> Z\n Z --> AA\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c8240668936bd409285373a676e6de5c.png", "anno": "```mermaid\nflowchart TD\n A[\"绪论\"]\n subgraph ide1[\" \"]\n B[\"选题背景与意义\"]\n C[\"文献综述\"]\n D[\"内容与结构安排\"]\n E[\"我国城镇职工基本养老保险制度的历史改革与现状\"]\n F[\"历史改革\"]\n G[\"现状与问题\"]\n H[\"现状与问题\"]\n end\n subgraph ide2[\" \"]\n I[\"长寿风险下我国城镇职工基本养老保险长寿风险测度\"]\n subgraph ide3[\" \"]\n J[\"人寿保险业第三套经验生命表\"]\n K[\"城镇职工分性别计发月数\"]\n end\n L[\"人口结构特征变化\"]\n subgraph ide4[\" \"]\n M[\"Lee-Carter模型死亡率预测\"]\n N[\"预测分性别人口寿命表\"]\n end\n O[\"长寿风险测度\"]\n P[\"长寿风险下我国城镇职工基本养老保险自动平衡机制研究\"]\n Q[\"触发条件\"]\n R[\"账户代内调整机制\"]\n S[\"触发变量\"]\n T[\"参数调整\"]\n U[\"模型评价\"]\n end\n subgraph ide5[\" \"]\n V[\"结论与政策建议\"]\n end\n W[\"文献研究法 比较研究法\"]\n X[\"定性分析法 定量分析法\"]\n Y[\"石纟讠\"]\n\n A --> B\n A --> C\n A --> D\n C --> E\n E --> F\n E --> G\n E --> H\n G --> I\n I --> L\n K --> O\n L --> ide3\n L --> ide4\n L --> O\n M --> N\n N --> O\n O --> P\n P --> R\n Q --> T\n R --> Q\n R --> S\n S --> T\n T --> U\n U --> V\n ide1 --- W\n ide2 --- X\n ide5 --- Y\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2bb1c7f5e374b247cb56a7f43739060b.png", "anno": "### 申请法律援助流程图\n\n```mermaid\nflowchart TD\n A(\"公民\")\n B(\"法律援助咨询\")\n C(\"填写申请表格\")\n D(\"申请人递交申请表格及经济状况证明和案件的相关材料\")\n E(\"法律援助机构进行初审、审批，并提出审核意见\")\n F(\"符合条件给予援助\")\n G(\"发出援助通知书\")\n H(\"办理委托手续、指派\")\n I(\"提供法律援助\")\n J(\"不符合条件、不予援助\")\n K(\"对不予援助通知书有异议的可向同级司法行政机关申请复查\")\n L(\"复查有效\")\n M(\"复查无效\")\n N(\"不提供法律援助\")\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n E --> J\n F --> G\n G --> H\n H --> I\n J --> K\n K --- L\n K --- M\n L --> F\n M --> N\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/47da3d04c3197a289ca2553eb8306628.png", "anno": "### 江口联合学校新冠肺炎疫情应急处置流程图\n\n```mermaid\nflowchart TD\n A[\"发现疑似病人或病人\"]\n B[\"报告学校疫情报告人
（班主任老师或任课老师等）\"]\n C[\"报告给校长\"]\n D[\"通知学生监护人\"]\n E[\"指定专人送医就诊\"]\n F[\"去医院就诊\"]\n G[\"排除\"]\n H[\"班级恢复正常活动\"]\n I[\"诊断为传染或疑似病人\"]\n J[\"启动学校疫情应急预案\"]\n K[\"报县疾病预防控制中心\"]\n L[\"报县教育局\"]\n M[\"在卫健部门指导下落实好有关预防控制措施\"]\n \n A --> B\n B --> C\n B --> D\n B --> E\n D --> F\n E --> F\n F --> G\n F --> I\n G --> H\n I --> J\n J --> K\n J --> L\n K --> M\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/5374d9bece86ca723814256d8165cfbf.png", "anno": "### 报废车辆拆解工艺流程图\n\n```mermaid\nflowchart TD\n A[报废大车]\n B[放油地沟]\n C[汽油/柴油]\n D[\"废机油/废液\"]\n E[安全气囊]\n F[氟利昂]\n G[快速解体机]\n H[报废小汽车]\n I[放油平台]\n J[汽油/柴油]\n K[\"废机油/废液\"]\n L[安全气囊]\n M[氟利昂]\n N[翻转平台]\n O[轮胎]\n subgraph ide1[\" \"]\n P[重钢]\n Q[\"车身轻薄料\"]\n R[\"线束、废弃料\"]\n S[\"发动机轮毂\"]\n end\n T[\"精细化拆解获取零件\"]\n U[轮胎处理生产线]\n V[剪切机]\n W[废塑料、废橡胶深加工]\n X[零配件仓库]\n Y[再生铝处理设备]\n Z[车架剪切]\n AA[报废汽车破碎分选线]\n AB[废钢/废塑料/废橡胶/废有色]\n AC[重钢堆场]\n AD[有色金属分选设备]\n\n A -->|\"取出蓄电池\"| B\n B --> C\n B --> D\n B --> E\n B --> F\n B --> G\n G --> ide1\n H -->|\"取出蓄电池\"| I\n I --> G\n I --> J\n I --> K\n I --> L\n I --> M\n I --> N\n N --> G\n N --> T\n O --> U\n ide1 ~~~ O\n P ~~~ Q~~~R~~~S\n P --> V\n Q --> AA\n R --> W\n S --> X\n T --> Y\n V --> Z\n Z --> AC\n AA --> AB\n AA --> AD\n```\n", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/faf40937eb25996e0e3fc2fcc652be85.png", "anno": "### 黄牛铺镇志愿帮扶流程图\n\n```mermaid\nflowchart TD\n A([\"提出帮扶需求申请\"])\n B([\"志愿者团队调研\"])\n C([\"联系申请人\"])\n D([\"确定志愿者帮扶团队\"])\n E([\"志愿者团队介入\"])\n F([\"项目负责人\"])\n G([\"志愿者团队制定帮扶计划\"])\n H([\"志愿者团队按阶段实施帮扶计划\"])\n I([\"志愿者团队与被帮扶人进行沟通根据实际情况随时调整帮扶过程\"])\n J([\"帮扶结束综合评定帮扶效果\"])\n K([\"整理帮扶资料、归档\"])\n\n A ==> B\n B ==>|不合格| C\n B ==>|合格| D\n D ==> E\n E ==> F\n E ==> G\n G ==> H\n H ==>|无分歧| I\n I -->|有分歧| G\n I ==> J\n F --> J\n J ==> K\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/959462d59a1b9a861c592c5e29b88bc9.png", "anno": "### 安仁县新起点文化培训学校疫情防控应急处置流程图\n\n```mermaid\nflowchart TD\n A[\"晨检\"]\n B[\"正常人员\"]\n C[\"异常人员\"]\n D[\"正常数学\"]\n E[\"午检 随堂观察\"]\n F[\"无症状\"]\n G[\"有症状\"]\n H[\"正常教学\"]\n I[\"临时隔离观察场所\"]\n J[\"常规消毒\"]\n K[\"追踪
随访
确认\"]\n L[\"学校主要负责人\"]\n M[\"报告教育局\"]\n N[\"报告防疫部门\"]\n\n A --> B\n A --> C\n B --> D\n D --> E\n E --> F\n E --> G\n F --> H\n C --> I\n G --> I\n J --> I\n I --> K\n K--> L\n L --> K\n L --> M\n L --> N\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/38c35e43cfae33737b99dc700332ef09.png", "anno": "### 法律援助流程图\n\n```mermaid\nflowchart TD\n A[\"法律咨询\"]\n B[\"一次性告知, 领取《法律援助申请表》\"]\n C[\"提交身份、经济状况证明和有关案件材料\"]\n D[\"接待人（首问人）审核\"]\n E[\"集体讨论（复杂案件）\"]\n F[\"主任审批\"]\n G[\"批准\"]\n H[\"不批准\"]\n I[\"申请人在收到不予法律援助决定后五天内可以向上级司法行政部门申请复审\"]\n J[\"经审查认为符合法律援助条件的, 书面形式责令中心提供法律援助\"]\n K[\"经审查认为不符合法律援助条件的, 告之另聘律师\"]\n L[\"中心统一指派承办人\"]\n M[\"提供法律援助\"]\n N[\"结案归档\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n F --> H\n G --> L\n G --> J\n H --> I\n I --> J\n I --> K \n L --> M\n M --> N\n K --> N\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/32c26207501ce8c2a264966e96fe4caf.png", "anno": "```mermaid\nflowchart TD\n A[\"新房验收\"]\n B[\"测量、设计\"]\n C[\"拆除作业\"]\n D[\"水路电路改造\"]\n E[\"装饰吊顶、门套、窗套、垭口、木家具制作等木工工程\"]\n F[\"墙基层处理、刮腻子\"]\n G[\"油饰工程\"]\n H[\"厨房、卫生间贴墙砖\"]\n I[\"厨房、卫生间吊顶\"]\n J[\"做闭水试验\"]\n K[\"厨房、卫生间铺地砖\"]\n L[\"洁具、卫浴、五金安装\"]\n M[\"木门、橱柜、厨房设备等安装\"]\n N[\"地板安装\"]\n O[\"壁纸工程\"]\n P[\"各种配件安装\"]\n Q[\"保洁\"]\n R[\"家具、电器、配饰入场\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n D --> H\n E --> F\n F --> G\n H --> I\n I --> J\n J --> K\n K --> L\n G --> M\n L --> M\n M --> N\n N --> O\n O --> P\n P --> Q\n Q --> R\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/aa72301517dbc0506af56dd49223a2f2.png", "anno": "```mermaid\nflowchart TD\n A[\"经肝癌专科或普通门诊入院\"]\n B[\"由急诊室入院或它科转入\"]\n C[\"入院前或入院后3天内常规检查: 三大常规+肝肾功能生化+AFP、CEA等肿瘤标志物+上腹(肝脏等)CT、B超+凝血状态+胸片+EKG等。诊断不明或同意，力劝行肝肿物穿刺活检，明确病理\"]\n D[\"明确诊断、分期、中医分型及治疗计划\"]\n E[\"早期小肝癌\"]\n F[\"中期肝癌\"]\n G[\"晚期肝癌\"]\n H[\"转外科手术切除\"]\n I[\"PEI/TACE+中药\"]\n J[\"病灶缩小, 符合手术条件\"]\n K[\"无介入禁忌症\"]\n L[\"有介入禁忌症\"]\n M[\"TACE+中药+护肝\"]\n N[\"PD\"]\n O[\"中药+护肝+BSC\"]\n P[\"病情好转/NC\"]\n Q[\"病情恶化\"]\n R[\"专科门诊中药治疗随访/再入院\"]\n S[\"临终关怀\"]\n T[\"死亡\"]\n\n A --> C\n B --> C\n C --> D\n D --> E\n D --> F\n D --> G\n E --> H\n E --> I\n F --> K\n F --> L\n G --> O\n I --> P\n J --> H\n K --> M\n L --> O\n M --> N\n M --> P\n N --> O\n O --> P\n O --> Q\n P --> J\n P --> R\n Q --> S\n S --> T\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/90cc7341a83bf1d6ce3d3c46ae41e4cc.png", "anno": "```mermaid\nflowchart TD\n A[\"America has a balance-of-payments-deficit\"]\n B[\"America loses gold, Britain gains gold\"]\n C[\"American money supply declines\"]\n D[\"British money supply increases\"]\n E[\"Prices decline in America\"]\n F[\"British prices rise\"]\n G[\"Step 1: Decline in American imports of goods\"]\n H[\"Step 2: Rise in exports of American goods\"]\n I[\"Step 3: Rise in British imports of goods\"]\n J[\"Step 4: Decline in British exports of goods\"]\n K[\"American balance-of-payments equilibrium restored\"]\n L[\"British balance-of-payments equilibrium restored\"]\n\n A --> B\n B --> C\n B --> D\n C --> E\n D --> F\n E --> G\n E --> H\n F --> I\n F --> J\n G --> K\n H --> K\n I --> L\n J --> L\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/0a567be991fc44ec99959ef0e6d7097b.png", "anno": "### Advanced Life Support for Adults\n\n```mermaid\nflowchart TD\n A(\"Start CPR
30 compressions, 2 breaths
Minimize interruptions\")\n B(\"Attach
Defibrillator / Monitor\")\n C(\"Assess Rhythm\")\n D(\"Shockable\")\n E(\"Non Shockable\")\n F(\"Shock\")\n G(\"CPR
for 2 minutes\")\n H(\"CPR
for 2 minutes\")\n I(\"Return of Spontaneous Circulation?\")\n J(\"Post Resuscitation Care\")\n\n A --> B\n B --> C\n C --> D\n C --> E\n C --> I\n D --> F\n F --> G\n E --> H\n I --> J\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/bfc5c85487ae57e6cad575ffad52a2c2.png", "anno": "### ALGORITHM FOR THROMBOCYTOPENIA EVALUATION\n\n```mermaid\nflowchart TD\n A[\"Platelet count <150,000/μL\"]\n B[\"Hemoglobin and white blood count\"]\n C[\"Normal\"]\n D[\"Abnormal\"]\n E[\"Peripheral blood smear\"]\n F[\"Bone marrow examination\"]\n G[\"Normal RBC morphology;
platelets normal or increased in size\"]\n H[\"Fragmented red blood cells\"]\n I[\"Platelets clumped: redraw in sodium citrate or heparin\"]\n J[\"Microangiopathic >hemolytic anemias (e.g., DIC, TTP)\"]\n K[\"Consider:
Drug-induced thrombocytopenia
Infection-induced thrombocytopenia
Idiopathic immune thrombocytopenia
Congenital thrombocytopenia\"]\n\n A --> B\n B --> C\n B --> D\n C --> E\n D --> F\n E --> G\n E --> H\n E --> I\n G --> K\n H --> J\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/2d1258c96ba409e9df00822b64c764cc.png", "anno": "```mermaid\nflowchart TD\n A[\"cT2-T4 adenocarcinoma or SCC located within 2.0 cm of the EGJ\"]\n B[\"clinically node positive in the upper/middle mediastinal field\"]\n C[\"Esophageal involvement\"]\n D[\"> 4.0 cm\"]\n E[\"2.1 - 4.0 cm\"]\n F[\"≤ 2.0 cm\"]\n G[\"Lymph node dissection of stations 1, 2, 3a, 7, 8a, 9, 11p, 19 106recR, 107, 108, 109, 110, 111, 112\"]\n H[\"Lymph node dissection of stations 1, 2, 3a, 7, 8a, 9, 11p, 19, 110\"]\n I[\"Lymph node dissection of stations 1, 2, 3a, 7, 8a, 9, 11p, 19\"]\n\n A --> B\n A --> C\n B --> G\n C --> D\n C --> E\n C --> F\n D --> G\n E --> H\n F --> I\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4b09d7b7bdd920520bd5515aa0615d0b.png", "anno": "### 图15-3 多个拦截器的执行流程\n\n```mermaid\nflowchart TD\n A[\"Interceptor1 (preHandle)\"]\n B[\"Interceptor2 (preHandle)\"]\n C[\"HandlerAdapter (Handle)\"]\n D[\"Interceptor2 (postHandle)\"]\n E[\"Interceptor1 (postHandle)\"]\n F[\"DispatcherServlet (render)\"]\n G[\"Interceptor2 (afterCompletion)\"]\n H[\"Interceptor1 (afterCompletion)\"]\n\n A -->|return true;| B\n B -->|return true;| C\n C --> D\n D --> E\n E --> F\n F --> G\n G --> H\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/54d27a4e9ae398aa892cbb1d47bc71f6.png", "anno": "### Current Hybrid Algorithm for CTO PCI\n\n```mermaid\nflowchart TD\n A[\"1
Dual injection\"]\n B@{shape: text, label: \" \"}\n C[\"Antegrade\"]\n D@{shape: text, label: \" \"}\n E[\"4
Antegrade wiring\"]\n F[\"5
Antegrade dissection and reentry\"]\n G[\"Controlled
(Stingray)\"]\n H[\"Wire based
(LaST)\"]\n I[\"6
Retrograde\"]\n J[\"Retrograde true lumen puncture\"]\n K[\"Retrograde dissection and reentry\"]\n L[\"7
Switch Strategy\"]\n\n A ---|2
1. Ambiguous proximal cap
2. Poor distal target
3. Appropriate 'interventional' collaterals| B\n B -->|no| C\n B -->|yes| I\n C ---|3
Lesion length <20 mm| D\n D -->|yes| E\n D -->|no| F\n E <--> F\n F --> G\n F --> H\n I --> J\n I --> K\n J <--> K\n L --> E\n L --> G\n L --> H\n L --> J\n L --> K\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/664014c28e55bf79c44a576e5c96edd5.png", "anno": "```mermaid\nflowchart TD\n A[\"Magistrates' courts
Trials of summary offences, committals to the Crown court, family proceedings courts and youth courts\"]\n B[\"Crown court
Trials of indictable offences, appeals from magistrates' courts, cases for sentence\"]\n C[\"Tribunals
Hear appeals from decisions on immigration, social security, child support, pensions, tax and lands\"]\n D[\"County Court
Majority of litigation, subject to nature of the claim\"]\n E[\"High Court
Family Division
Divisional Court
Appeals from the magistrates'court
Queen's Bench Division
Contract and tort etc.
Commercial Court
Admiralty Court
Administrative Court Supervisory and appellate jurisdiction overseeing the legality of decisions and actions of inferior courts, tribunals, local authorities, Minister of the Crown and other public bodies and officials
Chancery Division
Equity and trusts, contentious probate, tax partnerships, bankruptcy and Companies Court, Patents Court
Divisional Court
Appeals from the county courts on bankruptcy and land\"]\n F[\"Court of Appeal
Criminal Division
Appeals from the Crown Court
Civil Division
Appeals from the High Court, tribunals and certain cases from county courts\"]\n G[\"Supreme Court of the United Kingdom
The final court of appeal for all United Kingdom civil cases, and criminal cases from England, Wales and Northern Ireland
(not administered by HMCTS)\"]\n\n A --> B\n A --> E\n B --> E\n B --> F\n C --> E\n C --> F\n D --> E\n D --> E\n D --> F\n E --> F\n E --> G\n F --> G\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/7638088d2434896c4f862ab738666602.png", "anno": "```mermaid\nflowchart TD\n A[\"Biochemically Confirmed Primary Aldosteronism\"]\n B[\"Adrenal CT\"]\n C[\"Normal results
Micronodularity
Bilateral masses\"]\n D[\"Unilateral hypodense nodule > 1 cm\"]\n E[\"Low probability of APA\"]\n F[\"High probability of APA\"]\n G[\"Age > 40 y. consider\"]\n H[\"Age < 40 y\"]\n I[\"AVS\"]\n J[\"Consider screening for GRA\"]\n K[\"No lateralization with AVS\"]\n L[\"Lateralization with AVS\"]\n M[\"IHA: Pharmacologic therapy\"]\n N[\"GRA: Pharmacologic therapy\"]\n O[\"APA or PAH: Unilateral laparoscopic adrenalectomy\"]\n\n A --> B\n B --> C\n B --> D\n C --> E\n C --> F\n D --> G\n D --> H\n E --> J\n F --> I\n G --> I\n H --> O\n I --> K\n I --> L\n J --> M\n K --> J\n J --> N\n L --> O\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/6ab29c61ca45af90bd52ac3aec69bad5.png", "anno": "### Exhibit 2-33: Operations Planning and Control\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"Demand-Side Activities\"}\n B[\"Forecasting\"]\n C[\"Demand Management\"]\n D[\"Distribution Requirements Planning (DRP)\"]\n E[\"Strategic Planning\"]\n F[\"Business Planning\"]\n G[\"Sales and Operations Planning (S&OP):
Consensus Demand Plan and Production Plan\"]\n H[\"Master Scheduling (MS):
Master Production Schedule (MPS)\"]\n I[\"Material Requirements Planning (MRP)\"]\n J@{shape: text, label: \"Supply-Side Activities\"}\n K[\"Resource Planning (RP)\"]\n L[\"Rough-Cut Capacity Planning (RCCP)\"]\n M[\"Capacity Requirements Planning (CRP)\"]\n N[\"Purchasing\"]\n O[\"Production Activity Control (PAC)\"]\n P[\"Final Assembly Scheduling (FAS)\"]\n Q[\"Capacity Control\"]\n\n A ~~~ B\n B --> C\n C -->|Total| E\n C -->|Total| F\n C -->|Aggregate| G\n C -->|Detail| H\n D --> C\n D --> H\n E --> F\n F --> G\n G --> H\n H --> I\n J ~~~ K\n G <--> K\n H <--> L\n I <--> M\n I --> N\n I --> O\n I --> P\n I --> Q\n O <--> P\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/3a05dc969f30dd4c16e4b8bbf9973c0f.png", "anno": "```mermaid\nflowchart TD\n A[\"270 patients enrolled\"]\n B[\"270 randomised\"]\n C[\"134 allocated to aspiration first pass thrombectomy\"]\n D[\"7 did not receive aspiration first pass thrombectomy
2 spontaneous recanalisation
4 proximal vascular tortuosity with arch or cervical vessel access failure
1 physician chose alternative approach\"]\n E[\"3 lost to follow-up\"]\n F[\"134 included in intention-to-treat analysis\"]\n G[\"136 allocated to stent retriever first line thrombectomy\"]\n H[\"8 did not receive stent retriever first line thrombectomy
5 spontaneous recanalisation
2 proximal vascular tortuosity with arch or cervical vessel access failure
1 physician chose alternative approach\"]\n I[\"6 lost to follow-up\"]\n J[\"136 included in intention-to-treat analysis\"]\n\n A --> B\n B --> C\n B --> G\n C --> D\n C --> E\n D -.-> E\n D -.-> F\n E --> F\n G --> H\n G --> I\n H -.-> I\n H -.-> J\n I --> J\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4f2b4faedf8ad5e229db6f0c7f5ac274.png", "anno": "### Al System: Predicting + Planning = Reasoning\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"▶The essence of intelligence is the ability to predict
▶To plan ahead, we simulate the world
▶The action taken minimizes the predicted cost\"}\n subgraph ide1 [\"Agent\"]\n B[\"World Simulator\"]\n C[\"Actor\"]\n D[\"Critic\"]\n E@{shape: text, label: \"Predicted Cost\"}\n end\n F[\"World\"]\n G[\"Agent\"]\n H[\"Objective\"]\n I@{shape: text, label: \" \"}\n\n A --> B\n B -->|Predicted Percepts| C\n B -->|Inferred World State| C\n B -->|Predicted Percepts| D\n C -->|Action Proposals| B\n C -->|Actor State| D\n D --> E\n ide1 --- G\n ide1 --- G\n F -->|Percepts| G\n F -->|Percepts| H\n G -->|Actions/Outputs| F\n G -->|Agent State| H\n H -->|Cost| I\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ec319536485bf41640b7fd5535457d44.png", "anno": "```mermaid\nflowchart TD\n A@{shape: text, label: \"Carvedilol\"}\n B@{shape: text, label: \"Etiologic treatment\"}\n C@{shape: text, label: \"Functional Component\"}\n D@{shape: text, label: \"Mechanical Component\"}\n E[\"Increased Hepatic Resistance\"]\n F@{shape: text, label: \"TIPS\"}\n G[\"门静脉高压\"]\n H@{shape: text, label: \"Porto-systemic collaterals\"}\n I[\"Varices\"]\n J@{shape: text, label: \"Endoscopic treatments\"}\n K@{shape: text, label: \"BRTO\"}\n L@{shape: text, label: \"Angiogenesis\"}\n M@{shape: text, label: \"NSBBs
SMT and analogues
VP and analogues\"}\n N[\"Splanchnic vasodilation\"]\n O[\"Increased Portal Venous Inflow\"]\n P@{shape: text, label: \"Hypotension
Effective hypovolemia\"}\n Q@{shape: text, label: \"Activation of vasoactive systems\"}\n R@{shape: text, label: \"Sodium and water retention
Hypervolemia\"}\n S@{shape: text, label: \"Increase in cardiac output\"}\n T@{shape: text, label: \"NSBBs\"}\n\n A ==> C\n B ==> D\n C ==> E\n D ==> E\n E ==> G\n F ==> E\n G ==> H\n H ==> I\n J ==> I\n K ==> I\n G ==> L\n L ==> H\n L ==> O\n O ==> G\n G ==> N\n M ==> N\n N ==> O\n N ==> P\n P ==> Q\n Q -.-> C\n Q ==> R\n R ==> S\n S ==> O\n T ==> S\n\n linkStyle 0,1,5,8,9,15,23 stroke:#ff0000\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4b21c00d28793f76ed8981e4278b7890.png", "anno": "### 图2.1 Activitv状态转换图\n\t\n```mermaid\nflowchart TD\n A([Activity starts])\n B[\"onCreate()\"]\n C[\"onStart()\"]\n D[\"onResume()\"]\n E([Activity is running])\n F(\"Another activity comes
in front of the activity\")\n G[\"onPause()\"]\n H([The activity is no longer visible])\n I(\"Other applications need memory\")\n J(\"The activity comes to the foreground\")\n K[\"onStop()\"]\n L[\"onDestroy()\"]\n M([Process is killed]) \n N(\"User navigates back to the activity\")\n O(\"The activity comes to the foreground\")\n P([Activity is shut down]) \n Q[\"onRestart()\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --- F\n F --> G\n G --- H\n H --> K\n K --> L\n L --> P\n G --- J\n G --- I\n J --> D\n K --- O\n O --> Q\n Q --> C\n I --> M\n M --- N\n N --> B\n I --- K\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/da4f5f011e9901daedf01ad93c737368.png", "anno": "```mermaid\nflowchart TD\n A[\"Fatty diarrhea\"]\n B[\"Exclude Celiac disease\"]\n C[\"Tissue transglutaminase antibodies and serum IgA\"]\n D[\"Exclude Pancreatic exocrine insufficiency\"]\n E[\"Exclude cystic fibrosis
• Sweat test\"]\n F[\"Fecal elastase or
chymotrypsin activity\"]\n G[\"Secretin test\"]\n H[\"Exclude mucosal and structural disease\"]\n I[\"Small bowel radiographs, CT scan, or magnetic resonance imaging\"]\n J[\"Endoscopy with biopsies\"]\n\n A --> B\n B --> C\n B --> D\n D --> E\n D --> F\n D --> G\n D --> H\n H --> I\n H --> J\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/2e513fdcee580b60f55cc06c4d2df288.png", "anno": "```mermaid\nflowchart TD\n A[\"recurrent GD\"]\n B[\"MMI 30mg → 20mg → 15mg → 10mg → 7.5mg → 5mg → 2.5mg\"]\n C[\"2.5mg qd (5m)\"]\n D[\"2.5mg qd (5m) → 2.5mg qod (5m)\"]\n E[\"Drug withdrawal, follow-up\"]\n F[\"Drug withdrawal, follow-up\"]\n G[\"normal\"]\n H[\"relapse\"]\n I[\"follow\"]\n J[\"normal\"]\n K[\"relapse\"]\n L[\"follow\"]\n M[\"Further treatment\"]\n\n A --> B\n B --> C\n B -->|randomization| D\n C --> E\n D --- F\n E --> G\n E --> H\n F --> J\n F --> K\n G --> I\n J --> L\n H --> M\n K --> M\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/815990063da8de9fa6051ab456334948.png", "anno": "```mermaid\nflowchart TD\n A[\"185 patients consented\"]\n B[\"15 was excluded:
7 had residual stenosis
4 had partial thrombosis of AVF
3 had suspected infection
1 withdraw\"]\n C[\"170 underwent randomisation\"]\n D[\"83 assigned to receive treatment with Sirolimus Coated balloon\"]\n E[\"87 assigned to receive treatment with placebo balloon\"]\n F[\"3 withdraw
1 death
1 geographic miss\"]\n G[\"2 withdraw
1 geographic miss\"]\n subgraph ide1[\" \"]\n H[\"ITT analysis (n=83)
PP analysis (n=78)\"]\n I[\"ITT analysis (n=87)
PP analysis (n=84)\"]\n end\n J@{shape: text, label: \"All lesions of the AVF circuit treat with trial device\"}\n K@{shape: text, label: \"All lesions of the AVF circuit treat with trial device\"}\n\n A --> B\n A --> C\n C --> D\n C --> E\n D --> F\n D --> H\n E --> G\n E --> I\n D ~~~ J\n E ~~~ K\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/887e5c4050fc0f0e5641381cf8be1fbc.png", "anno": "### Flowchart 1: Pulse-oximetry screening test\n\n```mermaid\nflowchart TD\n A[\"Apparently well newborn in postnatal nursery
Pre-discharge pulse-oximetry screening at 4-48 hr\"]\n B[\"Right-hand (preductal) and either foot (postductal) saturations
measured until consistent reading obtained\"]\n C[\"Both readings >94%
and
difference <3%\"]\n D[\"Reading 90-94%
or
>2% difference\"]\n E[\"Reading <90%
or
symptomatic\"]\n F[\"Clinical assessment
If asymptomatic,
repeat test in 1-2 hr\"]\n G[\"Reading 90-94%
or
>2% difference\"]\n H[\"Clinical assessment
If asymptomatic
repeat test in 1-2 hr\"]\n I[\"Test negative
No further action
Routine care\"]\n J[\"Reading <95%
or
>2% difference\"]\n K[\"Test positive
Urgent paediatric
assessment\"]\n L[\"Comprehensive evaluation for causes of hypoxaemia (see next section and Flowchart 2)
In the absence of non-cardiac findings to explain hypoxaemia, refer for diagnostic echocardiogram\"]\n\n A --> B\n B --> C\n B --> D\n B --> E\n C --> I\n D --> F\n E --> K\n F --> C\n F --> E\n F --> G\n G --> H\n H --> C\n H --> E\n H --> J\n J --> K\n K --> L\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/425cabbd73565364a9e585b4bfef2ecf.png", "anno": "### Market Function, Classification and Assets\n\n```mermaid\nflowchart TD\n A[\"Market Function, Classification and Assets\"]\n B[\"The functions of the financial system\"]\n C[\"Classification of assets\"]\n D[\"Classification of market\"]\n E[\"Achieving purposes\"]\n F[\"Determining rates\"]\n G[\"Allocation efficiency\"]\n H[\"Financial assets\"]\n I[\"Physical assets\"]\n J[\"Deliver date\"]\n K[\"Maturity\"]\n L[\"Position and underlying\"]\n M[\"$$ ^{I} $$Capital flow\"]\n\n A --- B\n A --- C\n A --- D\n B --> E\n B --> F\n B --> G\n C --> H\n C --> I\n D --> J\n D --> K\n D --> L\n D --> M\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/664014c28e55bf79c44a576e5c96edd5.png", "anno": "```mermaid\nflowchart TD\n A[\"Magistrates' courts
Trials of summary offences, committals to the Crown court, family proceedings courts and youth courts\"]\n B[\"Crown court
Trials of indictable offences, appeals from magistrates' courts, cases for sentence\"]\n C[\"Tribunals
Hear appeals from decisions on immigration, social security, child support, pensions, tax and lands\"]\n D[\"County Court
Majority of litigation, subject to nature of the claim\"]\n E[\"High Court
Family Division
Divisional Court
Appeals from the magistrates'court
Queen's Bench Division
Contract and tort etc.
Commercial Court
Admiralty Court
Administrative Court Supervisory and appellate jurisdiction overseeing the legality of decisions and actions of inferior courts, tribunals, local authorities, Minister of the Crown and other public bodies and officials
Chancery Division
Equity and trusts, contentious probate, tax partnerships, bankruptcy and Companies Court, Patents Court
Divisional Court
Appeals from the county courts on bankruptcy and land\"]\n F[\"Court of Appeal
Criminal Division
Appeals from the Crown Court
Civil Division
Appeals from the High Court, tribunals and certain cases from county courts\"]\n G[\"Supreme Court of the United Kingdom
The final court of appeal for all United Kingdom civil cases, and criminal cases from England, Wales and Northern Ireland
(not administered by HMCTS)\"]\n\n A --> B\n A --> E\n B --> E\n B --> F\n C --> E\n C --> F\n D --> E\n D --> E\n D --> F\n E --> F\n E --> G\n F --> G\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/adf6a6e4ee38d3ac15b04f1eb05cef92.png", "anno": "```mermaid\nflowchart TD\n A(\"Functional dyspepsia\")\n B[\"H. pylori test and eradication,if not done before\"]\n C[\"Dietary modifications\"]\n D{\"Predominant symptom(s)\"}\n E(\"Epigastric pain or burning\")\n F[\"Proton pump inhibitor with or without prokinetic agent\"]\n G{\"Response after 4 or 8 weeks\"}\n H(\"Postprandial fullness, early satiation, upper abdominal bloating, nausea, vomiting or belching\")\n I[\"Prokinetic agent with or without proton pump inhibitor\"]\n J{\"Response after 4 or 8 weeks\"}\n K[\"• Try anti-depressant or anxiolytic agent
• Try herbal medication\"]\n L[\"Refer to specialists\"]\n M[\"Try to discontinue or on demand treatment\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n D --> H\n E --> F\n F --> G\n G -->|No| K\n G -->|Yes| M\n H --> I\n I --> J\n J -->|No| K\n J -->|Yes| M\n K -->|No response| L\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9ae0341a1c3bdafd00ddd696e5fc2e2b.png", "anno": "```mermaid\nflowchart TD\n A[\"SequenceFileAsBinaryOutput-Format\"]\n B[\"MultipleSequenceFileOutput-Format\"]\n C[\"MultipleTextOutputFormat\"]\n D[\"TextOutputFormat\"]\n E[\"SequenceFileInputFormat< K,V >\"]\n F[\"MapFileInputFormat< K,V >\"]\n G[\"MultipleOutputFormat< K,V >\"]\n H[\"LazyOutputFormt< K,V >\"]\n I[\"FileOutputFormat< K,V >\"]\n J[\"NullOutputFormat< K,V >\"]\n K[\"DBOutputFormat< T >\"]\n L[\"FilterOutputFormat< K,V >\"]\n M[\"OutputFormat< K,V >
接口\"]\n \n A --- E\n B --> G\n C --> G\n D --> I\n E --> I\n F --> I\n G --> I\n H --> L\n I --> M\n J --> M\n K --> M\n L --> M\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/b4fd04b5e5e7613919a4fc6aef6475f8.png", "anno": "```mermaid\nflowchart TD\n A[\"ArrayDeque\"]\n B[\"LinkedList\"]\n C[\"ArrayList\"]\n D[\"«interface»
Deque\"]\n E[\"PriorityQueue\"]\n F[\"HashSet\"]\n G[\"TreeSet\"]\n H[\"«interface»
Queue\"]\n I[\"«interface»
Set\"]\n J[\"«interface»
List\"]\n K[\"«interface»
Collection\"]\n L[\"«interface»
Iterable\"]\n M[\"«interface»
Iterator\"]\n\n A -.-> D\n B -.-> D\n C -.-> J\n B -.-> J\n D -.-> H\n E -.-> H\n F -.-> I\n G -.-> I\n H --> K\n I --> K\n J --> K\n K --> L\n L -->|◀产生| M\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1aa6963826df002f4fb5656477923ea1.png", "anno": "Complication in Immunodeficiency hosts\nComplications frequently seen in Primary Immunodeficiency\n\n```mermaid\nflowchart TD\n A(\"Severe Infectious Mononucleosis\")\n B(\"Infectious Mononucleosis\")\n C(\"Asymptomatic Infection\")\n subgraph ide1 [\" \"]\n D(\"Severe Mosquito bite hypersensitivity\")\n E(\"Hydroa Vacciniforme\")\n F(\"Chronic Active EBV\")\n end\n G(\"EBV driven HLH\")\n H(\"Hydroa Vacciniforme-like lymphoma\")\n I(\"B Cell Systemic LPD\")\n J(\"T/NK Cell Systemic LPD\")\n subgraph ide2 [\" \"]\n K(\"Diffuse large B cell Lymphoma\")\n L(\"Hodgkin Lymphoma\")\n M(\"Smooth Muscle sarcoma\")\n N(\"Gastric carcinoma\")\n O(\"Nasopharyngeal carcinoma\")\n P(\"Extra-nodal T/NK cell lymphoma\")\n Q(\"Burkitt Lymphoma\")\n end\n\n A <==> F\n C ~~~ B\n B <==> A\n F <==> G\n E <==> H\n F <==> I\n F <==> J\n G <==> J\n C === I\n B === I \n C ==> ide2\n B ==> ide2\n\n style A fill:#d94452,stroke:#333,color:#fff\n style B fill:#fff,stroke:#333\n style C fill:#fff,stroke:#333\n style ide1 fill:none,stroke:none\n style D fill:#fff,stroke:#333\n style G fill:#d94452,stroke:#333,color:#fff\n style E fill:#fff,stroke:#333\n style F fill:#fff,stroke:#333\n style H fill:#fff,stroke:#333\n style I fill:#d94452,stroke:#333,color:#fff\n style J fill:#fff,stroke:#333\n style K fill:#d94452,stroke:#333,color:#fff\n style L fill:#d94452,stroke:#333,color:#fff\n style M fill:#d94452,stroke:#333,color:#fff\n style N fill:#fff,stroke:#333\n style O fill:#fff,stroke:#333\n style P fill:#fff,stroke:#333\n style Q fill:#fff,stroke:#333\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/798b3e92feac1cbdcef4a4b4f60b1795.png", "anno": "```mermaid\nflowchart TD\n A(\"Identification\") \n B(\"Screening\")\n C(\"Eligibility\")\n D(\"Included\")\n E[\"Records identified through database searching
(n = 96)\"]\n F[\"Additional records identified through other sources
(n = 2)\"]\n G[\"Records after duplicates removed
(n = 96)\"]\n H[\"Records screened
(n = 96)\"]\n I[\"Records excluded
(n = 81)\"]\n J[\"Full-text articles assessed for eligibility
(n = 15)\"]\n K[\"Full-text articles excluded, with reasons
(n = 3)
Reviews: 1
Insufficient data: 2\"]\n L[\"Studies included in qualitative synthesis
(n = 12)\"]\n M[\"Studies included in quantitative synthesis
(meta-analysis)
(n = 12)\"]\n \n A ~~~ E\n B ~~~ H\n C ~~~ J\n D ~~~ M\n E --> G\n F --> G\n G --> H\n H --> I\n H --> J\n J --> K\n J --> L\n L --> M\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/e6d9ff8120bc862962ff0f818e4c4b88.png", "anno": "```mermaid\nflowchart TD\n A[\"EM+AD+infertility\"]\n B[\"Clinical evaluation (PE/USG/MRI) and fertility evaluation\"]\n C[\"AD with OEM\"]\n D[\"DIE with AD\"]\n E[\"OEM or other infertility related surgical indications\"]\n F[\"Surgery: EM excision and fertility evaluation\"]\n G[\"OEM recurrence or DOR\"]\n H[\"GnRHa & expectation\"]\n I[\"GnRHa+IVF\"]\n J[\"DIE resection\"]\n K[\"Diffuse AD\"]\n L[\"Focal AD\"]\n M@{shape: text, label: \"Yes\"}\n\n A --> B\n B --> C\n C --> E\n C --> G\n G --> I\n D -->|No| F\n D -->|Severe pain symptom Or failed IVF| I\n E --> F\n F --> H\n F --> I\n H -->|Failed| I\n I --> K\n K --> H\n I -->|Repeatedly failed| L\n L -->|Adenomyoma resection| I\n M --> J\n J --> I\n J <--> H\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/bb8c1bb0d5030fc3f3cf2c2b15575efc.png", "anno": "```mermaid\nflowchart TD\n A[\"UTERINE EPITHELIOID SMOOTH MUSCLE NEOPLASM\"]\n B[\"Assess for presence of: ≥2+ nuclear atypia$$ ^{a} $$ ≥4 mitoses / 10 HPFs$$ ^{b} $$ Tumor cell necrosis\"]\n C[\"No features\"]\n D[\"Only one feature\"]\n E[\"2 or 3 features\"]\n F[\"Presence of any of: Infiltrative border Atypical mitoses Tumor size ≥5 cm LVSI\"]\n G[\"No\"]\n H[\"Yes\"]\n I[\"Epithelioid leiomyoma\"]\n J[\"Epithelioid STUMP$$ ^{c} $$\"]\n K[\"Epithelioid leiomyosarcoma\"]\n\n A ~~~ B\n B --> C\n B --> D\n B --> E\n C --> F\n F --> G\n F --> H\n G --> I\n H --> J\n D --> J\n E --> K\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/e842afdbcdb127be67b7ab87774c49ec.png", "anno": "### Production Flow Chart in BMW\n\n```mermaid\nflowchart TD\n A[\"global procurement of
parts according to the
requirements of chief
engineers\"]\n B[\"assembling
sample cars\"]\n C[\"testing sample cars in different situations, e.g. in bad weather, on slope, on zigzag road, etc.\"]\n D[\"modification\"]\n E[\"building different assembly lines for assembling motors,computer software,whole car, etc.respectively\"]\n F[\"lacquering and appearance treatment\"]\n G[\"quality control\"]\n H[\"delivery\"]\n\n A ==> B\n B ==> C\n C ==>|YES| E\n C ==>|NO| D\n D <==>|YES| E\n E ==> F\n F ==> G\n G ==> H\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/90ae9d63fc47880bf8472acbd7f012bd.png", "anno": "### Renin-angiotensin-aldosterone System\n\n```mermaid\nflowchart TD\n A[\"Angiotensinogen secreted by the liver\"]\n B[\"Renin secreted by kidney\"]\n C[\"Angiotensin Ⅰ\"]\n D[\"Angiotensin-converting enzyme (ACE) from lung tissue\"]\n E[\"Angiotensin Ⅱ: potent vasoconstrictor\"]\n F[\"Adrenal cortex\"]\n G[\"Aldosterone release\"]\n H[\"醛固酮受体拮抗剂\"]\n I@{shape: text, label: \" \"}\n J[\"Structural remodelling of CV system\"]\n K[\"Sodium and water retention\"]\n\n A --> C\n B --> C\n C --> E\n D --> E\n E --> F\n F --> G\n G --- I\n H --> I\n I --> J\n I --> K\n\n style A fill:#4A90E2,color:#fff,stroke:#333\n style C fill:#4A90E2,color:#fff,stroke:#333\n style E fill:#4A90E2,color:#fff,stroke:#333\n style F fill:#4A90E2,color:#fff,stroke:#333\n style G fill:#4A90E2,color:#fff,stroke:#333\n style B fill:#9B59B6,color:#fff,stroke:#333\n style D fill:#9B59B6,color:#fff,stroke:#333\n style H fill:#F1C40F,color:#000,stroke:#333\n style J fill:#E74C3C,color:#fff,stroke:#333\n style K fill:#2b9fc2,color:#fff,stroke:#333\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/3a75322a5a5c7e4a7ef5a555879c3ab4.png", "anno": "```mermaid\nflowchart TD\n A(\"Choose compute
Set up tracing\")\n B(\"Structured input\")\n C(\"Bring API specs and access control setting\")\n D(\"Structured output\")\n subgraph ide1 [\"La Plateforme\"]\n E(\"Contextual data / memory\")\n F(\"Router\")\n G(\"Search APIs\")\n H(\"Mistral open models\")\n I(\"API calls (affecting state)\")\n end\n\n A --- ide1\n B --> F\n C --- ide1\n E -.-> H\n F --> H\n G -.-> H\n H --> D\n H --> I\n \n style ide1 stroke-linejoin:round,rx:15,ry:15\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/887e5c4050fc0f0e5641381cf8be1fbc.png", "anno": "### Flowchart 1: Pulse-oximetry screening test\n\n```mermaid\nflowchart TD\n A[\"Apparently well newborn in postnatal nursery Pre-discharge pulse-oximetry screening at 4-48 hr\"]\n B[\"Right-hand (preductal) and either foot (postductal) saturations measured until consistent reading obtained\"]\n C[\"Both readings >94% and difference <3%\"]\n D[\"Reading 90-94% or >2% difference\"]\n E[\"Reading <90% or symptomatic\"]\n F[\"Clinical assessment If asymptomatic, repeat test in 1-2 hr\"]\n G[\"Reading 90-94% or >2% difference\"]\n H[\"Clinical assessment If asymptomatic repeat test in 1-2 hr\"]\n I[\"Test negative No further action Routine care\"]\n J[\"Reading <95% or >2% difference\"]\n K[\"Test positive Urgent paediatric assessment\"]\n L[\"Comprehensive evaluation for causes of hypoxaemia (see next section and Flowchart 2) In the absence of non-cardiac findings to explain hypoxaemia, refer for diagnostic echocardiogram\"]\n\n A --> B\n B --> C\n B --> D\n B --> E\n C --> I\n D --> F\n E --> K\n F --> C\n F --> E\n F --> G\n G --> H\n H --> C\n H --> E\n H --> J\n J --> K\n K --> L\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/33af0fa0de3ade165bfed55703a7d37a.png", "anno": "### 图19-8 Envoy过滤器的架构\n\n```mermaid\nflowchart TD\n A[\"监听过滤器工厂\"]\n B[\"监听过滤器管理器\"]\n C[\"监听器\"]\n D[\"监听过滤器\"]\n E[\"L4网络过滤器工厂\"]\n F[\"L4过滤器管理器\"]\n G[\"L7协议过滤器工厂\"]\n H[\"L7过滤器管理器\"]\n I[\"L4下游连接\"]\n J[\"L4网络过滤器\"]\n K[\"......\"]\n L[\"L7协议过滤器\"]\n M[\"......\"]\n N[\"L4上游连接\"]\n O[\"L4网络过滤器\"]\n\n A -->|createListenerFilterFactoryFromProto| B\n E -->|createFilterFactoryFromProto| F\n G -->|createFilterFactoryFromProto| H\n B -->|addAcceptFilter| D\n C --> D\n D --> I\n F -->|addWriteFilter
addFilter
addReadFilter| J\n F -->|addWriteFilter
addFilter
addReadFilter| O\n H -->|addStreamDecoderFilter
addStreamEncoderFilter
addStreamFilter| L\n I --> J\n J --> K\n K <--> L\n L <--> M\n M --> N\n N --> O\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/f18210433c74453f54c5710147c4e1c8.png", "anno": "```mermaid\nflowchart TD\n A[\"observerState=subject.getState();\"]\n B[\"ConcreteObserver
- observerState :
+ update ()\"]\n C[\"return subjectState;\"]\n D[\"ConcreteSubject
- subjectState :
+ getState ()
+ setState ()\"]\n E[\"for(obs:observers)
{
obs.update();
}\"]\n F[\"Subject
+ attach (Observer obs)
+ detach (Observer obs)
+ notify ()\"]\n G[\"$$^{○-} \\quad$$ Observer $$\\qquad$$+ update ()\"]\n\n A -.- B\n B -->|subject| D\n C -.- D\n D --> F\n E -.- F\n F -->|observers| G\n B -.-> G\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/bfc5c85487ae57e6cad575ffad52a2c2.png", "anno": "### ALGORITHM FOR THROMBOCYTOPENIA EVALUATION\n\n```mermaid\nflowchart TD\n A[\"Platelet count <150,000/μL\"]\n B[\"Hemoglobin and white blood count\"]\n C[\"Normal\"]\n D[\"Abnormal\"]\n E[\"Peripheral blood smear\"]\n F[\"Bone marrow examination\"]\n G[\"Normal RBC morphology;platelets normal orincreased in size\"]\n H[\"Fragmented red blood cells\"]\n I[\"Platelets clumped: redraw in sodium citrate or heparin\"]\n J[\"Microangiopathichemolytic anemias(e.g., DIC, TTP)\"]\n K[\"Consider:
Drug-induced thrombocytopeniaInfection-induced thrombocytopeniaIdiopathic immune thrombocytopeniaCongenital thrombocytopenia\"]\n\n A --> B\n B --> C\n B --> D\n C --> E\n D --> F\n E --> G\n E --> H\n E --> I\n G --> K\n H --> J\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/0c0cb7c64c980c89ca375270db4420a8.png", "anno": "### Figure 1: PINGS Trial Design Flow Chart\n\n```mermaid\nflowchart TD\n A[\"Enrollment\"]\n B[\"Identification of Patients\"]\n C[\"Eligibility Assessment\"]\n D[\"Study Information provided\"]\n E[\"Exclusion
• Not eligible
• Not willing to participate\"]\n F[\"Informed Consent obtained\"]\n G[\"Randomization\"]\n H[\"Intervention Group, n=250\"]\n I[\"Baseline measurement (T0)\"]\n J[\"3-month assessment (T1)\"]\n K[\"6-month assessment (T2)\"]\n L[\"9-month assessment (T3)\"]\n M[\"12-month measurement (T4)\"]\n N[\"Allocation\"]\n O[\"Final outcome measures\"]\n P[\"Usual care Group, n=250\"]\n Q[\"Baseline measurement (T0)\"]\n R[\"3-month assessment (T1)\"]\n S[\"6-month assessment (T2)\"]\n T[\"9-month assessment (T3)\"]\n U[\"12-month measurement (T4)\"]\n\n A ~~~ B\n B --> C\n C --> D\n C -.-> E\n D --> F\n F --> G\n G --> H\n G --> P\n H --> I\n I --> J\n J --> K\n K --> L\n L --> M\n G ~~~ N\n N -.->|Follow-up| O\n P --> Q\n Q --> R\n R --> S\n S --> T\n T --> U\n\n style E stroke-dasharray: 5 5\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/500691e2bcff06f89d523b48684378a2.png", "anno": "```mermaid\nflowchart TD\n A[\"Records identified from*:
Databases (n = 3143)
Registers (n = 0)\"]\n B[\"Records removed before screening:
Duplicate records removed (n = 1200)
Records marked as ineligible by automation tools (n = 0)
Records removed for other reasons (n = 0)\"]\n C[\"Records identified from:
Citation searching (n = 1)\"]\n D[\"Records screened
(n = 1943)\"]\n E[\"Records excluded**
(n = 1831)\"]\n F[\"Reports sought for retrieval
(n = 112)\"]\n G[\"Reports not retrieved
(n = 6)\"]\n H[\"Reports sought for retrieval
(n = 1)\"]\n I[\"Reports not retrieved
(n = 0)\"]\n J[\"Reports assessed for eligibility
(n = 106)\"]\n K[\"Reports excluded:
Overlapping data (n = 3)
Review (n = 6)
Incorrect population (n = 31)
No extractable data (n = 7)
No outcomes (n = 24)\"]\n L[\"Reports assessed for eligibility
(n = 1)\"]\n M[\"Reports excluded:
No outcomes (n = 1)\"]\n N[\"Studies included in review
(n = 35)
Reports of included studies
(n = 35)\"]\n\n A --> B\n A --> D\n C --> H\n D --> E\n D --> F\n F --> G\n F --> J\n H --> I\n H --> L\n J --> K\n J --> N\n L --> M\n L --> N\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/cd98a7b7b59e8902d9dba679f40a7e11.png", "anno": "```mermaid\nflowchart TD\n A[\"NEGATIVE FAMILY HISTORY OF ILD or chILD SYNDROME
Rule Out/Treat Underlying Disease:
Infection/Sepsis/Pneumonia: Appropriate Cultures
CHD/Pulmonary Hypertension: Echocardiogram
HIV/Immunodeficiency; CF; Recurrent Aspiration\"]\n B[\"Specific Diagnosis Established\"]\n C[\"Persistent Disease or Disease Out of Proportion to Presumed Diagnosis\"]\n D[\"chILD Syndrome
NEGATIVE FAMILY HISTORY\"]\n E[\"Rapid Deterioration or Progression\"]\n F[\"CVHRCT\"]\n G[\"Genetic Testing
See Figure 4\"]\n H[\"Normal or Other Specific Diagnosis\"]\n I[\"Non-Diagnostic Diffuse Lung Disease\"]\n J[\"Suggestive of Surfactant Mutation\"]\n K[\"NEGATIVE\"]\n L[\"DIAGNOSTIC:
Specific Diagnosis Established\"]\n M[\"LUNG BIOPSY WITH ELECTRON MICROSCOPY\"]\n\n A --> B\n A -->|Specific diagnosis ruled out| D\n B --> C\n C --> D\n D --> E\n D --> F\n D -.-> G\n E --> M\n E --> G\n F --> H\n F --> I\n F --> J\n I --> M\n J --> G\n G --> K\n G --> L\n K --> M\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/594d60309f1edc032133b4879b997cac.png", "anno": "```mermaid\nflowchart TD\n subgraph id1 [\"Logistical channel\"]\n A[\"Transportation\"]\n B[\"Supplier\"]\n C[\"Manufacturer\"]\n D[\"Transportation\"]\n E[\"Distribution center\"]\n F[\"Transportation\"]\n G[\"Retail store\"]\n end\n H[\"Consumer\"]\n subgraph id2 [\"Marketing channel\"]\n I[\"E-Procurement\"]\n J[\"National account sales\"]\n K[\"Wholesaler/Distributor\"]\n L[\"Retail customer\"]\n end\n\n B --> A\n A --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G --> H\n I --> J\n J --> K\n K --> L\n L --> H\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/04bb93a2e51634dd590bd848fee52a63.png", "anno": "```mermaid\nflowchart TD\n subgraph ide1 [\"主线程\"]\n A(\"KafkaProducer\")\n B(\"ProducerInterceptors\")\n C(\"Serializer\")\n D(\"Partitioner\")\n end\n subgraph ide2 [\"RecordAccumulator\"]\n subgraph ide3 [\"Deque\"]\n E(\"RecordBatch\")\n F(\"RecordBatch\")\n G(\"RecordBatch\")\n end\n subgraph ide4 [\"Deque\"]\n H(\"RecordBatch\")\n I(\"RecordBatch\")\n end\n subgraph ide5 [\"Deque\"]\n J(\"RecordBatch\")\n K(\"RecordBatch\")\n end\n end\n subgraph ide6 [\"Sender 线程\"]\n M(\"Sender\")\n N(\"ClientRequest\")\n O(\"ClientRequest\")\n P(\"ClientRequest\")\n subgraph ide7 [\"NetworkClient\"]\n subgraph ide8 [\"InFlightRequests\"]\n subgraph ide9 [\" \"]\n Q(\"ClientRequest\")\n R(\"ClientRequest\")\n end\n subgraph ide10 [\" \"]\n S(\"ClientRequest\")\n end\n subgraph ide11 [\" \"]\n T(\"ClientRequest\")\n end\n end\n end\n subgraph ide12 [\"Selector\"]\n U(\"KafkaChannel\")\n V(\"KafkaChannel\")\n W(\"KafkaChannel\")\n end\n end\n L@{ shape: processes, label: \"Kafka\" }\n\n A -->|①| B\n B -->|②| C\n C -->|③| D\n ide1 -->|④| ide2\n ide2 -->|⑤| ide6\n M -->|⑥| N\n M -->|⑥| O\n M -->|⑥| P\n N -->|⑦| ide7\n O -->|⑦| ide7\n P -->|⑦| ide7\n ide7 -->|⑧
RequestSend| ide12\n ide7 -->|⑧
RequestSend| ide12\n ide7 -->|⑧
RequestSend| ide12\n ide12 <-->|⑨
网络| L\n ide7 -->|⑩
done| ide2\n\n style ide1 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide3 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide4 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide5 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide6 fill:none,stroke:#333,stroke-dasharray:5 5\n style ide8 fill:none,stroke:#333,stroke-dasharray:5 5\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/8423fdd2b39e29abaf79c1ef42bf8ff4.png", "anno": "```mermaid\nflowchart TD\n A( )\n B[\"54 with presentation delay <3.5 hours\"]\n C[\"83 with delay >3.5h excluded\"]\n D[\"35 disabling strokes\"]\n E[\"19 non-disabling strokes excluded\"]\n F[\"33 without large infarct\"]\n G[\"2 with large infarct excluded\"]\n H[\"17 with retrievable thrombus\"]\n I[\"16 excluded as no retrievable thrombus\"]\n J[\"17 with 'target mismatch' penumbra\"]\n K[\"0 without 'target mismatch' penumbra\"]\n L[\"17 eligible by restrictive algorithm\"]\n\n A --> B\n A --> C\n B --> D\n B --> E\n D --> F\n D --> G\n F --> H\n F --> I\n H --> J\n H --> K\n J --> L\n```\n\n\n```mermaid\nflowchart TD\n A( )\n B[\"86 with presentation delay <5 hours\"]\n C[\"124 with delay >5h excluded\"]\n D[\"60 disabling strokes\"]\n E[\"26 non-disabling strokes excluded\"]\n F[\"56 without large infarct\"]\n G[\"4 with large infarct excluded\"]\n H[\"33 with retrievable thrombus\"]\n I[\"23 excluded as no retrievable thrombus\"]\n J[\"33 eligible by permissive algorithm\"]\n\n A --> B\n A --> C\n B --> D\n B --> E\n D --> F\n D --> G\n F --> H\n F --> I\n H --> J\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4ba86d9312b3158cda35eb0b4766333f.png", "anno": "```mermaid\nflowchart TD\n A[\"Consent in ER or within 1 month of prior biomarker plus ACS\"]\n B[\"ACS Patients with +/- biomarker positive, requiring DES implantation\"]\n C[\"IVUS-guided PCI\"]\n D[\"Angiography-guided PCI\"]\n E[\"DAPT (ticagrelor + ASA) for 1 month\"]\n F[\"DAPT (ticagrelor + ASA) for 1 month\"]\n G@{shape: text, label: \"Exclusion:
• Patients with MACCE
• ≥BARC Type 3b bleeding
• No longer taking DAPT with aspirin and ticagrelor >48 h\"}\n H[\"SAPT
(ticagrelor + placebo)\"]\n I[\"DAPT
(ticagrelor + ASA)\"]\n J[\"SAPT
(ticagrelor + placebo)\"]\n K[\"DAPT
(ticagrelor + ASA)\"]\n L[\"Clinical follow-up: 4, 6, and 12 months\"]\n\n A -->|Confirmed on angiography| B\n B -->|\"$$ 1^{st}\\ $$ Randomization\"| C\n B --> D\n C --> E\n D --> F\n E -.-> G\n F -.-> G\n E --> H\n E -->|\"$$ 2^{nd}\\ $$ Randomization\"| I\n F --> J\n F --> K\n H --> L\n I --> L\n J --> L\n K --> L\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/cbedf9de736ce9a32aa3b8f034ee83b9.png", "anno": "```mermaid\nflowchart TD\n A(\"Enrollment\")\n B[\"Randomized (n=259)\"]\n C(\"Allocation\")\n D[\"132 Allocated to Ablation
129 had Ablation
3 did not have Ablation
2 died before procedure
1 withdrew
4 Crossed over to escalated AAD prior to reaching a 1° endpoint\"]\n E[\"127 Allocated to Escalated AAD
0 Not treated with escalated AAD
11 Crossed over to Ablation prior to reaching a 1° endpoint\"]\n F(\"Follow-up\")\n G[\"Lost to Follow-up (n=0)
Withdrawal without reaching an endpoint (n=5)\"]\n H[\"Lost to Follow-up (n=0)
Withdrawal without reaching an endpoint (n=4)\"]\n I(\"Analysis\")\n J[\"Analysed (n=132)
Excluded from analysis (n=0)\"]\n K[\"Analysed (n=127)
Excluded from analysis (n=0)\"]\n L@{shape: text, label: \"7 patients had repeat ablation within 30 days. After experiencing a primary outcome, 27 were treated with escalated AAD and 13 had repeat ablation\"}\n M@{shape: text, label: \"37 patients treated with catheter ablation after experiencing a primary outcome, 23 had further escalation of AAD therapy\"}\n\n A ~~~ B\n B --- C\n B --> D\n C ~~~ D\n C ~~~ E\n C ~~~ F\n D --> G\n F ~~~ G\n F ~~~ H\n G --> J\n I ~~~ J\n I ~~~ K\n B --> E\n E --> H\n H --> K\n M ~~~ K\n G ~~~ L\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/000d7b54007a991dcf52a0af6c79c598.png", "anno": "### 图3-2 Struts 2 框架结构与工作流程图\n\n```mermaid\nflowchart TD\n A[\"用户\"]\n B[\"HttpServletRequest\"]\n C[\"StrutsPrepareAndExecuteFilter\"]\n D[\"ActionMapper\"]\n E[\"ActionProxy\"]\n F[\"Configuration Manager\"]\n G[\"struts.xml\"]\n H[\"TagSubsystem\"]\n I[\"Template JSP、FreeMarker\"]\n J[\"HttpServletResponse\"]\n subgraph ide1 [\"Action Invocation\"]\n K[\"Interceptor1\"]\n L[\"Interceptor2\"]\n M[\"Interceptor3\"]\n N[\"Action\"]\n O[\"Result\"]\n P[\"Interceptor3\"]\n Q[\"Interceptor2\"]\n R[\"Interceptor1\"]\n end\n\n A --> B\n B --> C\n C --> E\n C --> D\n D --> C\n G --> F\n F --> E\n E --> ide1\n K --- L\n L --- M\n M --- N\n N --> O\n O --> I\n P --- Q\n Q --> R\n R --> J\n H --> I\n J --> A\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/425cabbd73565364a9e585b4bfef2ecf.png", "anno": "### Market Function, Classification and Assets\n\n```mermaid\nflowchart TD\n A[\"Market Function, Classification and Assets\"]\n B[\"The functions of the financial system\"]\n C[\"Classification of assets\"]\n D[\"Classification of market\"]\n E[\"Achieving purposes\"]\n F[\"Determining rates\"]\n G[\"Allocation efficiency\"]\n H[\"Financial assets\"]\n I[\"Physical assets\"]\n J[\"Deliver date\"]\n K[\"Maturity\"]\n L[\"Position and underlying\"]\n M[\"$$ ^{I} $$Capital flow\"]\n\n A --- B\n A --- C\n A --- D\n B --> E\n B --> F\n B --> G\n C --> H\n C --> I\n D --> J\n D --> K\n D --> L\n D --> M\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/bd5148c34556db9ce62c762e5ec901bc.png", "anno": "```mermaid\nflowchart TD\n A[\"LinkedHashSet\"]\n B[\"HashSet\"]:::bold\n C[\"TreeSet\"]\n subgraph id1 [\" \"]\n D[\"Comparator\"]\n E[\"Comparable\"]\n end\n subgraph id2 [\"Utilites\"]\n F[\"Collections\"]\n G[\"Arrays\"]\n end\n H[\"ArrayList\"]:::bold\n I[\"LinkedList\"]:::bold\n J[\"PriorityQueue\"]\n K[\"LinkedHashMap\"]\n L[\"ListIterator\"]\n M[\"List\"]\n N[\"Set\"]\n O[\"Queue\"]\n P[\"HashMap\"]:::bold\n Q[\"TreeMap\"]\n R[\"Map\"]\n S[\"Collection\"]\n T[\"Iterator\"]\n\n A -.-> B\n E <-.-> D\n id1 ~~~ A\n A ~~~ id2\n id2 ~~~ K\n B -.-> N\n C -.-> N\n H -.-> M\n I -.-> M\n I -.-> N\n I -.-> O\n J -.-> O\n K --> P\n M -.-> L\n M -.-> S\n N -.-> S\n O -.-> S\n P -.-> R\n Q -.-> R\n R -.->|Produces| S\n S -.->|Produces| T\n L -.->|Produces| T\n\n classDef bold stroke-width:3,stroke:#000\n style D fill:color:#000,stroke-dasharray: 5\n style E fill:color:#000,stroke-dasharray: 5\n style L fill:color:#000,stroke-dasharray: 5\n style M fill:color:#000,stroke-dasharray: 5\n style N fill:color:#000,stroke-dasharray: 5\n style O fill:color:#000,stroke-dasharray: 5\n style R fill:color:#000,stroke-dasharray: 5\n style S fill:color:#000,stroke-dasharray: 5\n style T fill:color:#000,stroke-dasharray: 5\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/664014c28e55bf79c44a576e5c96edd5.png", "anno": "```mermaid\nflowchart TD\n A[\"Magistrates' courts
Trials of summary offences, committals to the Crown court, family proceedings courts and youth courts\"]\n B[\"Crown court
Trials of indictable offences, appeals from magistrates' courts, cases for sentence\"]\n C[\"Tribunals
Hear appeals from decisions on immigration, social security, child support, pensions, tax and lands\"]\n D[\"County Court
Majority of litigation, subject to nature of the claim\"]\n E[\"High Court
Family Division
Divisional Court
Appeals from the magistrates'court
Queen's Bench Division
Contract and tort etc.
Commercial Court
Admiralty Court
Administrative Court Supervisory and appellate jurisdiction overseeing the legality of decisions and actions of inferior courts, tribunals, local authorities, Minister of the Crown and other public bodies and officials
Chancery Division
Equity and trusts, contentious probate, tax partnerships, bankruptcy and Companies Court, Patents Court
Divisional Court
Appeals from the county courts on bankruptcy and land\"]\n F[\"Court of Appeal
Criminal Division
Appeals from the Crown Court
Civil Division
Appeals from the High Court, tribunals and certain cases from county courts\"]\n G[\"Supreme Court of the United Kingdom
The final court of appeal for all United Kingdom civil cases, and criminal cases from England, Wales and Northern Ireland
(not administered by HMCTS)\"]\n\n A --> B\n A --> E\n B --> E\n B --> F\n C --> E\n C --> F\n D --> E\n D --> E\n D --> F\n E --> F\n E --> G\n F --> G\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/6ab29c61ca45af90bd52ac3aec69bad5.png", "anno": "```mermaid\nflowchart TD\n A[\"Forecasting\"]\n B[\"Demand Management\"]\n C[\"Distribution Requirements Planning (DRP)\"]\n D[\"Strategic Planning\"]\n E[\"Business Planning\"]\n F[\"Sales and Operations Planning (S&OP): Consensus Demand Plan and Production Plan\"]\n G[\"Master Scheduling (MS): Master Production Schedule (MPS)\"]\n H[\"Material Requirements Planning (MRP)\"]\n I[\"Resource Planning (RP)\"]\n J[\"Rough-Cut Capacity Planning (RCCP)\"]\n K[\"Capacity Requirements Planning (CRP)\"]\n L[\"Purchasing\"]\n M[\"Production Activity Control (PAC)\"]\n N[\"Final Assembly Scheduling (FAS)\"]\n O[\"Capacity Control\"]\n\n A --> B\n B -->|Total| D\n B -->|Total| E\n B -->|Aggregate| F\n B -->|Detail| G\n C --> B\n C --> G\n D --> E\n E --> F\n F --> G\n F <--> I\n G --> H\n G <--> J\n H <--> K\n H --> L\n H --> M\n H --> N\n H --> O\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9123d842c6c31448bf17c55bc6b48a41.png", "anno": "### FLOWCHART\n\n```mermaid\nflowchart TD\n A[\"1504 patients were assessed for eligibility\"]\n B[\"1048 were excluded
114 did not meet clinical inclusion criteria
66 were >80 yr of age
4 had chronic occlusion
4 had pre-stroke modified Rankin scale score >1
20 had an NIHSS score other than 6 to 30
20 had >24-hr time window from stroke onset
640 did not meet imaging inclusion criteria
339 had ineligible ASPECTS value based on NCCT
121 had ineligible infarct core volume
180 had ineligible occlusion site
175 declined to participate
119 met exclusion criteria or had other reason\"]\n C[\"456 underwent randomization\"]\n D[\"231 were assigned to the EVT group\"]\n E[\"225 were assigned to the MM group\"]\n F[\"1 withdrew consent\"]\n G[\"230 patients in the full-analysis population\"]\n H[\"225 patients in the full-analysis population\"]\n I[\"14 mismatch profile missing\"]\n J[\"216 patients imaged >6 h from onset\"]\n K[\"15 mismatch profile missing\"]\n L[\"210 patients imaged >6 h from onset\"]\n M[\"173 patients with mismatch\"]\n N[\"43 patients without mismatch\"]\n O[\"173 patients with mismatch\"]\n P[\"37 patients without mismatch\"]\n Q[\"92 in EVT group\"]\n R[\"81 in MM group\"]\n S[\"21 in EVT group\"]\n T[\"22 in MM group\"]\n U[\"92 in EVT group\"]\n V[\"81 in MM group\"]\n W[\"18 in EVT group\"]\n X[\"19 in MM group\"]\n\n A --> C\n A --> B\n C --> D\n C --> E\n D --> G\n D --> F\n E --> H\n G --> J\n G --> I\n H --> L\n H --> K\n J --> M\n J --> N\n L --> O\n L --> P\n M --> Q\n M --> R\n N --> S\n N --> T\n O --> U\n O --> V\n P --> W\n P --> X\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a17979a335a8399921d70a058d47c3f6.png", "anno": "### 图9-5 扩展设计以支持新的协议\n\n```mermaid\nflowchart TD\n A[\"CommsManager
+getHeaderText(): String
+getApptEncoder(): ApptEncoder
+getFooterText(): String\"]\n B[\"MegaCommsManager
+getHeaderText(): String
+getApptEncoder(): ApptEncoder
+getFooterText(): String\"]\n C[\"BloggsCommsManager
+getHeaderText(): String
+getApptEncoder(): ApptEncoder
+getFooterText(): String\"]\n D[\"ApptEncoder
+encode(): String\"]\n E[\"MegaApptEncoder
+encode(): String\"]\n F[\"BloggsApptEncoder
+encode(): String\"]\n G[\"return new MegaApptEncoder();\"]\n H[\"return new BloggsApptEncoder();\"]\n\n B --> A\n C --> A\n E --> D\n F --> D\n B --- G\n C --- H\n B -.->|<<creates>>| E\n C -.->|<<creates>>| F\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/90578edbb2e27913a5062703bc576bbe.png", "anno": "```mermaid\nflowchart TD\n A[\"63 patients screened for study\"]\n B[\"11 patients excluded
4 did not meet inclusion criteria
7 declined to participate\"]\n C[\"52 randomly assigned\"]\n D[\"27 assigned to rituximab\"]\n E[\"3 excluded before receiving rituximab
2 had influenza infection
1 had another relapse\"]\n F[\"24 received rituximab\"]\n G[\"4 discontinued
2 had treatment failure*
2 other reasons\"]\n H[\"20 completed week 53\"]\n I[\"25 assigned to placebo\"]\n J[\"1 excluded before receiving placebo
because of uncontrolled hypertension\"]\n K[\"24 received placebo\"]\n L[\"20 discontinued interventions
18 had treatment failure†
2 other reasons\"]\n M[\"4 completed week 53\"]\n\n A --> B \n A --> C\n C --> D\n C --> I\n D --> F\n D --> E\n F --> H\n F --> G\n I --> K\n I --> J\n K --> M\n K --> L\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/d40fd59e53a97759cc9245e47560813c.png", "anno": "### The Transformer Encoder-Decoder [Vaswani et al., 2017]\n\n```mermaid\nflowchart TD\n subgraph id1 [\"[input sequence]\"]\n A[\"Word Embeddings\"]\n B[\"Position Representations\"]\n C@{shape: text, label: \"+\"}\n D[\"Transformer Encoder\"]\n E@{shape: text, label: \"●
●
●\"}\n F[\"Transformer Encoder\"]\n end\n subgraph id2 [\"[output sequence]\"]\n G[\"Word Embeddings\"]\n H[\"Position Representations\"]\n I@{shape: text, label: \"+\"}\n J[\"Transformer Decoder\"]\n K@{shape: text, label: \"●
●
●\"}\n L[\"Transformer Decoder\"]\n end\n M@{shape: text, label: \"[predictions!]\"}\n\n A ~~~ C\n B ~~~ C\n C ==> D\n D ==> E\n E ==> F\n G ~~~ I\n H ~~~ I\n I ==> J\n J ==> K\n K ==> L\n L ==> M\n F -->|\"[decoder attends to encoder states]\"| J\n F --> L\n```", "chart_type": "流程图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4f8f75c91db1284f0dd33365d5963c18.png", "anno": "```mermaid\nflowchart TD\n A[\"登录\"]\n B{\"是否有TGT\"}\n C[\"发送请求到被注册到 CAS 服务的 APP\"]\n D[\"返回ST, 执行相应的service\"]\n E[\"在登录页面输入用户名，密码\"]\n F[\"发送请求到app(已注册到 CAS\"]\n G[\"获取TGT\"]\n H[\"发送请求TGT到app(已注册\"]\n I[\"返回ST，并于执行service\"]\n\n A --> B\n B -->|是| C\n B -->|否| E\n C --> D\n E --> F\n F --> G\n G --> H\n H --> I\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b9037c4bb1cac920fbfb0f0fbaa7e24b.png", "anno": "```mermaid\nflowchart TD\n A[\"开始\"]\n B[\"检测CAN总线发送指令\"]\n C{\"令STM32输出高低电平\"}\n D[\"灯亮\"]\n E[\"光线强度检测电路\"]\n F{\"光线强度\"}\n G[\"STM32发送高电平\"]\n H[\"灯灭\"]\n I[\"热释电红外信号检测电路\"]\n J{\"有无人\"}\n K[\"STM32发送低电平\"]\n L[\"灯亮\"]\n M[\"STM32发送高电平\"]\n N[\"灯灭\"]\n\n A --> B\n B --> C\n C -->|高| E\n C -->|低| D\n C --> E\n D --> B\n E --> F\n F --> I\n F -->|强| G\n G --> H\n H --> B\n I --> J\n J -->|有| K\n J -->|无| M\n K --> L\n L --> B\n M --> N\n N --> B\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/35605dc4079e26683fa5116233d620f8.png", "anno": "```mermaid\nflowchart TD\n A[\"注册\"]\n B@{shape: text, label: \"身份确认\"}\n C[\"登记\"]\n D@{shape: text, label: \"资产(有形,无形)存在证明, 资产编码\"}\n E[\"确权\"]\n F@{shape: text, label: \"生成密钥, 所有权控制\"}\n G[\"状态追踪\"]\n H@{shape: text, label: \"溯源、防伪\"}\n I@{shape: text, label: \" \"}\n J@{shape: text, label: \"O\"}\n K[\"人工确定\"]\n L[\"智能合约\"]\n M@{shape: text, label: \"重要,下文补充\"}\n N@{shape: text, label: \"不通过, 终止\"}\n O@{shape: text, label: \"通过,交易\"}\n P[\"支付、清算、汇兑\"]\n R@{shape: text, label: \"权利转移(租凭,买卖)\"} \n\n A --> B\n A --> C\n C --> D\n C --> E\n E --> F\n E --> G\n G -->|时间能支持| H\n G --> J\n I -->|发起交易| J\n J -->|非自动| K\n J -->|自动| L\n L --> M\n K --> N \n L --> N\n K --> O\n L --> O\n O --> P\n R --> E\n R --> G\n R --> P \n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/e61fbde6d685d41a75560a05b2a57839.png", "anno": "```mermaid\nflowchart TD\n A[\"q=0\"]\n B[\"输入 n, k\"]\n C[\"n = n+1\"]\n D[\"i = 2\"]\n E{\"n%i==0\"}\n F[\"i++\"]\n G{\"i>=n\"}\n H[\"n=n+1\"]\n I[\"q=q+1\"]\n J{\"q>=k\"}\n K[\"输出 n\"]\n L@{shape: text, label: \" \"}\n\n A --> B\n B --> C\n C --> D\n D --> E\n E -->|否| F\n F --> E\n E -->|是| G\n G -->|否| H\n G -->|是| I\n H --> D\n I --> J\n J -->|否| K\n K--> C\n J -->|是| L\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/de9d0f46a8785af63f3d1e1b4b96848e.png", "anno": "```mermaid\nflowchart TD\n A@{shape: text, label: \"毕昇先用木块刻字但发现木头纹理不匀,沾水易变形\"}\n B@{shape: text, label: \"后来用胶泥刻字\"}\n C@{shape: text, label: \"烧成单个胶泥活字\"}\n D@{shape: text, label: \"用带框铁板作底托
布满松脂、蜡、纸灰\"}\n\n A --> B\n B --> C\n C --> D\n```\n\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"把活字排进框内,用火烘烧\"}\n B@{shape: text, label: \"压平字面,等冷却凝固就成了版形\"}\n C@{shape: text, label: \"印完把药剂烤化
将活字抖落即可\"}\n\n A --> B\n B --> C\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/efd306196de307454667caa0d0c4bacd.png", "anno": "```mermaid\nflowchart TD\n A[\"接收客户投诉\"]\n B[\"记录客户投诉\"]\n C[\"客户投诉记帐\"]\n D{\"判断投诉是否成立\"}\n E[\"1h内答复客户\"]\n F[\"责任部门分析\"]\n G[\"判断具体情况\"]\n H[\"责任部门出具方案\"]\n I{\"总经理审校\"}\n J[\"通知客户处理\"]\n K[\"按方案处理\"]\n L[\"处理情况跟踪\"]\n M[\"通知客户处理结果\"]\n N[\"总结评价\"]\n\n A --> B\n B --> C\n B --> D\n D --> E\n D -->|成立| F\n F --> G\n F --> H\n H --> I\n I -->|未通过| F\n I -->|通过| K\n I --> J\n K --> L\n K --> M\n D -->|已成立| N\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/08406e91e746992ffb9a9e92e3dde254.png", "anno": "### 《千人娃娃》思维导图\n\n```mermaid\nflowchart TD\n A[\"种棉花\"]\n B[\"采摘棉花\"]\n C[\"运到玩具厂\"]\n D[\"养羊\"]\n E[\"剪羊毛\"]\n F[\"运到织布厂\"]\n G[\"合成娃娃\"]\n H[\"包装\"]\n I[\"送货\"]\n J[\"销售\"]\n\n A ==> B\n B ==> C\n D ==> E\n E ==> F\n F ==> C\n C ==> G\n G ==> H\n H ==> I\n I ==> J\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b3061e84f40e1af462beb4fcf28f758c.png", "anno": "```mermaid\nflowchart TD\n A@{ shape: text, label: \" \" }\n B@{ shape: text, label: \"81格魔方\" }\n C@{ shape: text, label: \"包装袋(外卖袋)\" }\n D@{ shape: text, label: \"笔记本\" }\n E@{ shape: text, label: \"电脑\" }\n F@{ shape: text, label: \"便餐盒\" }\n G@{ shape: text, label: \"发夹\" }\n H@{ shape: text, label: \"方便面、棉花糖等\" }\n I@{ shape: text, label: \"枕头\" }\n J@{ shape: text, label: \"投子\" }\n K@{ shape: text, label: \"插座\" }\n L@{ shape: text, label: \"床\" }\n M@{ shape: text, label: \"讲台\" }\n N@{ shape: text, label: \"生日蛋糕\" }\n O@{ shape: text, label: \"课桌椅\" }\n P@{ shape: text, label: \"窗户\" }\n Q@{ shape: text, label: \"房子\" }\n R@{ shape: text, label: \"板砖\" }\n S@{ shape: text, label: \"相框\" }\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G --> H\n H --> I\n I --> J\n J --> K\n K --> L\n L --> M\n M --> N\n N --> O\n O --> P\n P --> Q\n Q --> R\n R --> S\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/3c35aa40551810b3955f6f6f2e01a44a.png", "anno": "```mermaid\nflowchart TD\n A[\"打开中断\"]\n B{\"TMR1F=1?\"}\n C[\"继续计数\"]\n D[\"TMR2IF=0\"]\n E{\"Sin-num = 31?\"}\n F[\"sin-num=0
正负半波标志位置0\"]\n G{\"sin-num+1\"}\n H[\"读取A/D转换值\"]\n I{\"正负半波标志位 = 1?\"}\n J[\"更新ccp2的pwn脉冲\"]\n K[\"更新ccp1的pwn脉冲\"]\n\n A --> B\n B --> C\n C --> B\n B --> D\n D --> E\n E -->|Y| F\n E -->|N| G\n F --> H\n G --> H\n H --> I\n I -->|Y| J\n I -->|N| K\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/022564e8e1b8eaa41add7658de0cd27d.png", "anno": "```mermaid\nflowchart TD\n A([\"移位密码算法\"])\n B[/\"输入密钥\"/]\n C{\"输入选项编号d\"}\n D[\"加密\"]\n E[\"解密\"]\n F[\"退出\"]\n G([\"End\"])\n\n A --> B\n B --> C\n C -->|d=1| D\n C --> E\n C -->|d=3| F\n D --> G\n E --> G\n F --> G\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/581c4d859bad52c41144ae8f358de759.png", "anno": "```mermaid\nflowchart TD\n A@{ shape: text, label: \"农民种土豆苗\" }\n B@{ shape: text, label: \"土豆\" }\n C@{ shape: text, label: \"清洗\" }\n D@{ shape: text, label: \"二次清洗和消毒\" }\n E@{ shape: text, label: \"去皮机去皮\" }\n F@{ shape: text, label: \"工人进行检验和分拣、\" }\n G@{ shape: text, label: \"切片机切片\" }\n H@{ shape: text, label: \"油炸加调味料\" }\n I@{ shape: text, label: \"包装\" }\n J@{ shape: text, label: \"送货\" }\n K@{ shape: text, label: \"销售\" }\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G --> H\n H --> I\n I --> J\n J --> K\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/14243e9fb6507e2dcff1e50d53390e1f.png", "anno": "```mermaid\nflowchart TD\n A[\"多道程序\"]\n B@{shape: text, label: \"提高并发性\"}\n C[\"进程\"]\n D@{shape: text, label: \"监控进程状态\"}\n E@{shape: text, label: \"PCB(档案袋).\"}\n F[\"进程调度\"]\n G@{shape: text, label: \"调度算法\"}\n H@{shape: text, label: \"调度准则.\"}\n I[\"特征 (并发性、异步性、独立性)\"]\n J[\"死锁问题\"]\n K@{shape: text, label: \"僧多粥少\"}\n L@{shape: text, label: \"不恰当的运行次序\"}\n M[\"银行家算法\"]\n N[\"死锁定理\"]\n O[\"竞争与合作问题
(同步与互斥问题)\"]\n P@{shape: text, label: \"靠交流、靠商量.\"}\n Q[\"进程间通信\"]\n R[\"信号量的PV操作\"]\n\n A --> C\n B -..->|进化目的| C\n D -..->|依据| F\n D -.-|记录工具| E\n C --> F\n F -.-|如何调度| G\n D -.- G\n G -.-|评价| H\n F --> I\n I --> J\n J -.- K\n J -.- L\n J -->|方法| M\n J -->|方法| N\n I --> O\n O --> Q\n P -..-> Q\n Q --> R\n R -..-> O\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/6d6b274534e0ea3fc5148c721e973b62.png", "anno": "```mermaid\nflowchart TD\n A[\"论文检索平台\"]\n B[\"登陆\"]\n C[\"修改密码\"]\n D[\"注册\"]\n E[\"功能选择界面\"]\n F[\"论文导入\"]\n G[\"论文管理\"]\n H[\"论文收藏\"]\n I[\"个人中心\"]\n J[\"笔记本\"]\n K[\"热点分析\"]\n L[\"热点推送\"]\n M[\"本地\"]\n N@{shape: text, label: \"查找\"}\n O@{shape: text, label: \"删除\"}\n P@{shape: text, label: \"增加\"}\n Q[\"收藏夹\"]\n R[\"退出\"]\n S[\"笔记\"]\n T[\"热词走势\"]\n U[\"热词图谱\"]\n\n A --> B\n B -->|忘记密码| C\n B -->|没有账号| D\n B --> E\n E --> F\n E --> G\n E --> H\n E --> I\n E --> J\n E --> K\n E --> L\n M -->|上传| F\n G --> N\n G --> O\n G --> P\n H ---|收藏| Q\n I --> Q\n I --> R\n I --> S\n J -->|写入| S\n K --> T\n K --> U\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/51e25ecac40eff0ea6beed004777db29.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"输入x值\"]\n C{\"x>0?\"}\n D[\"f(x)=3x+2\"]\n E[\"$$f(x)=2x^{2}-1$$\"]\n F[\"输出f(x)\"]\n G([\"结束\"])\n\n A --> B\n B --> C\n C -->|是| E\n C -->|否| D\n D --> F\n E --> F\n F --> G\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/552cc912495b9bec5b46d93fca177c3f.png", "anno": "### 《活板》—沈括\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"胶泥 铁板 松脂 纸灰 蜡\"}\n B@{shape: text, label: \"2.用胶泥刻字\"}\n C@{shape: text, label: \"3.火烧令坚\"}\n D@{shape: text, label: \"4.设一铁板其上以松脂、蜡和纸灰之类冒之\"}\n E@{shape: text, label: \"5.以一铁范置铁板上
(满铁范为一板)\"}\n F@{shape: text, label: \" \"}\n G@{shape: text, label: \"7.则以一铁板按其面\"}\n H@{shape: text, label: \"[要印刷时]
1.常做二铁板(更互用之)
一板印 一板排字 \"}\n I@{shape: text, label: \"2.每一字皆有数印
(以备一板内有重复者)
之 也 以\"}\n J@{shape: text, label: \"3.有奇字素无备者，旋刻之\"}\n K@{shape: text, label: \"[使用方法]
1.排好字印\"}\n L@{shape: text, label: \"2.刷上黑\"}\n M@{shape: text, label: \"3.铺上纸，并按压\"}\n N@{shape: text, label: \"4.完成！\"}\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G ~~~ H\n H --> I\n I --> J\n J ~~~ K\n K --> L\n L --> M\n M --> N\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/ae6b4e3d70db597cc274c0dbeba46348.png", "anno": "### 制作桃子果酱的过程\n\n```mermaid\nflowchart TD\n A@{ shape: text, label: \"(摘桃子)\"}\n B@{ shape: text, label: \"(切块)\"}\n C@{ shape: text, label: \"(用榨汁机绞成七分碎)\"}\n D@{ shape: text, label: \"(加入糖和水,放入锅中用火熬粘稠)\"}\n E@{ shape: text, label: \"(冷却后倒入玻璃瓶中)\"}\n F@{ shape: text, label: \"(放入冰箱冷藏)\"}\n G@{ shape: text, label: \"(吃面包时可以涂一点哦!)\"}\n\n A ==> B\n B ==> C\n C ==> D\n D ==> E\n E ==> F\n F ==> G\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/94b971145d508e7664e986f2fc3801c4.png", "anno": "```mermaid\nflowchart TD\n A[\"开始\"]\n B[\"定义x,sum\"]\n C[\"x=1,sum=0\"]\n D{\"x<101\"}\n E[\"Sum=Sum+x\"]\n F[\"x++\"]\n G[\"输出求和Sum的值\"]\n H((\"结束\"))\n\n A --> B\n B --> C\n C --> D\n D --> E\n D -->|否| G\n E --> F\n F -->|是| D\n G --> H\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/2f415b8448949be4677e04f60d18f347.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"h,m,s赋初值0\"]\n C[/\"输入t\"/]\n D{\"t>60?\"}\n E{\"t>3600?\"}\n F[\"s=t\"]\n G[\"m=t/60
s=t-60*m\"]\n H[\"h=t/3600
m=(t-3600*h)/60
s=t-3600*h-60*m\"]\n I[/\"输出h,m,s\"/]\n J([\"结束\"])\n\n A --- B\n B --- C\n C --- D\n D ---|Y| E\n D ---|N| F\n E ---|Y| H\n E ---|N| G\n F --- I\n G --- I\n H --- I\n I --- J\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/e1523812abfc30fc0847131d065d4923.png", "anno": "```mermaid\nflowchart TD\n A@{shape: text, label: \"农民\"}\n B@{shape: text, label: \"甘蔗\"}\n C@{shape: text, label: \"甜菜\"}\n D@{shape: text, label: \"工具、火\"}\n E@{shape: text, label: \"甘蔗汁\"}\n F@{shape: text, label: \"甜菜汁\"}\n G@{shape: text, label: \"糖\"}\n H@{shape: text, label: \"千人糕\"}\n I@{shape: text, label: \"大米\"}\n J@{shape: text, label: \"包装\"}\n K@{shape: text, label: \"稻子\"}\n L@{shape: text, label: \"送货\"}\n M@{shape: text, label: \"农民\"}\n N@{shape: text, label: \"种子\"}\n O@{shape: text, label: \"农具\"}\n P@{shape: text, label: \" \"}\n Q@{shape: text, label: \"水\"}\n R[\"销售\"]\n\n A --- B\n A --- C\n B --- E\n C --- F\n D --- G\n E --- G\n F --- G\n G --- H\n H --- I\n H --- J\n I --- K\n J --- L\n K --- M\n K --- N\n K --- O\n K --- P\n K --- Q\n L --- R\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a47ad1e274ac512d3bbd193d9a0f429c.png", "anno": "```mermaid\nflowchart TD\n A[\"生产力先进\"]\n B[\"生产关系\"]\n C{\"是否有利于生产力？\"}\n D[\"生产力不先进\"]\n E[\"经济基础\"]\n F{\"能否适应生产力？\"}\n G[\"经济基础先进\"]\n H[\"上层建筑先进\"]\n\n A -->|决定| B\n B --> C\n C -->|是| A\n C -->|不是| D\n A -->|决定| E\n E --> F\n F -->|能| G\n G --> H\n A -->|决定| H\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/ba6c2b11396339760e6b015572fc886a.png", "anno": "```mermaid\nflowchart TD\n A@{shape: text, label: \"① 准备材料：
胶泥
刻刀
铁板
松脂、蜡和纸灰之类
白纸\"}\n B@{shape: text, label: \"② 胶泥刻字：\"}\n C@{shape: text, label: \"③ 火烧令坚\"}\n D@{shape: text, label: \"④ 设铁板\"}\n E@{shape: text, label: \"⑤ 满铁范一板，置于板上\"}\n F@{shape: text, label: \"⑥ 持就火炀之\"}\n G@{shape: text, label: \"⑦ 用一平板按其面\"}\n H@{shape: text, label: \"⑧ 常作二铁板\"}\n I@{shape: text, label: \"⑨ 有奇字素无备者，旋刻之，以草火烧\"}\n J@{shape: text, label: \"⑩ 更互用之.\"}\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G --> H\n H --> I\n I --> J\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/e1f867a958a72f220fb4f79b3b68891f.png", "anno": "### 排版\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"设板\"}\n B@{shape: text, label: \"冒板\"}\n C@{shape: text, label: \"布板\"}\n D@{shape: text, label: \"炀板\"}\n E@{shape: text, label: \"平板\"}\n\n A --> B\n B --> C\n C --> D\n D --> E\n\n linkStyle 0,1,2,3 stroke:#ff0000\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/8ac4f0734ef6c6f953e2eab11c904aea.png", "anno": "```mermaid\nflowchart TD\n A[\"键值\"]\n B{\"判断是什么键?\"}\n C[\"功能键\"]\n D{\"?\"}\n E[\"等于键\"]\n F[\"数组2处理\"]\n G[\"数值运算\"]\n H[\"结果显示\"]\n I[\"运算键\"]\n J[\"数组处理\"]\n K[\"数字键\"]\n L{\"判断是否按下运算键?\"}\n M[\"数组2\"]\n N@{shape: text, label: \"赋值\"}\n O[\"数字键\"]\n P{\"?\"}\n Q[\"数组1\"]\n R[\"数组2\"]\n S[\"数组1\"]\n\n A --- B\n B --- C\n B --- K\n C --- D\n D --- E\n D --- I\n E --- F\n F --- G\n G --- H\n I --- J\n K --- L\n L ---|是| M\n L ---|否| Q\n Q --> N\n M --> N\n Q --- R\n M --- O\n O --- P\n O --> P \n R --> S\n P --- S\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/0797589086eac21c7273fad9e043fb76.png", "anno": "### 可行性分析逻辑图\n\n```mermaid\nflowchart TD\n A[\"开始\"]\n B@{shape: bow-rect, label: \"医生输出病患标准数据\"}\n C[(\"服务器\")]\n D[\"采集病人生理数据\"]\n E{对比大小}\n F[\"警报\"]\n G[\"结束\"]\n\n A --> B\n B <---> C\n B --> D\n C <---> D\n D --> E\n E -->|在预测范围内| D\n E -->|不在预测范围| F\n F --> G\n```\n\n```mermaid\nflowchart TD\n A[\"医生\"]\n B[\"标准数据\"]\n C[\"病人端客户机\"]\n D[\"实测数据\"]\n E([\"服务器\"])\n F[\"警报数据\"]\n G[\"护士\"]\n H[\"指定打印数据\"]\n \n A <---> B\n C <---> D\n B --> E\n D --> E\n E --> F\n F --> G\n E <---> H\n G <---> H\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/0e3b6c0564d5ec99c70aa8592cacd80a.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"ds←dseg
d←ds:[0]
ch←0
bx←1\"]\n C[\"push si
push ax
CX←CX-1\"]\n D{\"CX=0\"}\n E[\"push cx
si←bx\"]\n F{\"CX=0\"}\n G[\"al←si\"]\n H{\"al<[si+1]\"}\n I[\"ah←si+1
[si+1]←al
[si]←ah\"]\n J[\"si←si+1
cx←cx-1\"]\n K[\"pop cx
CX←cx-1\"]\n L[\"pop ax
pop si\"]\n M([\"结束\"])\n\n A --> B\n B --> C\n C --> D\n D -->|Yes| L\n D -->|NO| E\n E --> F\n F -->|Yes| K\n F -->|No| G\n G --> H\n H -->|Yes| I\n H -->|No| J\n I --> J\n J --> F\n K --> D\n L --> M\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/3af4d513a796735f2bc904b24684d30b.png", "anno": "```mermaid\nflowchart TD\n A[\"概念：\"]\n B[\"准确\"]\n C[\"正确\"]\n D[\"清晰\"]\n E[\"指导意义\"]\n F[\"行动执行\"]\n G[\"找定义\"]\n\n A --> B\n B -->|yes| C\n B -->|no| G\n C -->|yes| D\n C -->|no| G\n D -->|yes| E\n D -->|no| G\n E -->|yes| F\n E -->|no| G\n F -->|把大脑洗干净| A\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/334a60b45c1d05c525ee68ee1dc9b088.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B[/\"输入 N, i, j, s item\"/]\n C[\"S=0, item=1
i=1, j=1\"]\n D{\"i <= n?\"}\n E[\"item=1,i++\"]\n F[/\"输出 S\"/]\n G{\"j <= i\"}\n H[\"item=item*j\"]\n I([\"结束\"])\n\n A --> B\n B --> C\n C --> D\n D -->|是| E\n D -->|否| F\n E --> G\n G -->|是| H\n H --> D\n G --> F\n F --> I\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/102d46d2966c733ae1c6565a9b32d8ba.png", "anno": "```mermaid\nflowchart TD\n A[\"正方形\"]\n B@{shape: text, label: \"魔方\"}\n C@{shape: text, label: \"房子\"}\n D@{shape: text, label: \"面包\"}\n E@{shape: text, label: \"时钟\"}\n F@{shape: text, label: \" \"}\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n```\n\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"机器熊\"}\n B@{shape: text, label: \"橡皮\"}\n C@{shape: text, label: \"桌子\"}\n D@{shape: text, label: \"烤箱\"}\n E@{shape: text, label: \"甜筒\"}\n F@{shape: text, label: \" \"}\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n```\n\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"蛋糕\"}\n B@{shape: text, label: \"生日贺卡\"}\n C@{shape: text, label: \"国旗\"}\n D@{shape: text, label: \"正方形\"}\n\n A --> B\n B --> C\n C --> D\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/8fb4a2255613cafc037cef543132fe7e.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B{\"确定运算?\"}\n C[\"输入一串字符\"]\n D{\"是字母们吗\"}\n E[\"输入异常\"]\n F{\"加密/解密?\"}\n G[\"c≡(m+k)Mod26\"]\n H[\"m≡(c-k)mod26\"]\n I[\"输出明/密文\"]\n J{\"还继续?\"}\n K([\"结束\"])\n\n A --> B\n B -->|是（其它数字）| C\n B -->|不（0）| K\n C --> D\n D -->|是| F\n D -->|不是| E\n E --> J\n F -->|加| G\n F -->|解| H\n G --> I\n H --> I\n I --> J\n J -->|是| C\n J -->|不| K\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/0ef71634786690e38a5bc94da407bec0.png", "anno": "### 排版\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"先设一铁板\"}\n B@{shape: text, label: \"以松脂、蜡和纸灰之类冒之\"}\n C@{shape: text, label: \"以铁范置铁板上，满铁范为一板\"}\n D@{shape: text, label: \"持就火炀之\"}\n E@{shape: text, label: \"以一平板按其面，则字平如砥\"}\n\n A --> B\n B --> C\n C --> D\n D --> E\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/e30f0bea15b4df33537c489d91a79007.png", "anno": "### 造字\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"胶泥\"}\n B@{shape: text, label: \"刻字
薄如钱唇\"}\n C@{shape: text, label: \"火烧令坚\"}\n\n A --> B\n B --> C\n```\n\n\n### 排版\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"设一铁板以松脂、蜡和纸灰之类冒之\"}\n B@{shape: text, label: \"以铁范置铁板上\"}\n C@{shape: text, label: \"以一平板按其面,则字平如砥\"}\n\n A --> B\n B --> C\n```\n\n\n### 印刷\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"一板印刷\"}\n B@{shape: text, label: \"另一板己自布字\"}\n C@{shape: text, label: \"瞬息可救\"}\n\n A --> B\n B --> C\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/bf79b2e7bb232a641cafe9c2c07fb56c.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"输入操作\"]\n C{\"input\"}\n D[\"输入不合规\"]\n E[\"依次输入进程信息、添加进程\"]\n F[\"将所有进程输出\"]\n G[\"选择调度算法\"]\n H{\"function_choice\"}\n I[\"输入错误\"]\n J[\"使用先到先服务算法,输出调度结果\"]\n K[\"短作业优先调度算法,输出调度结果\"]\n L[\"时间片轮转调度算法,输出调度结果\"]\n M[\"非抢占式优先级调度算法,输出调度结果\"]\n N[\"结束\"]\n\n A --> B\n B --> C\n C -->|其他| D\n C -->|input=1| E\n C -->|input=2| F\n C -->|input=3| G\n C -->|input=0| N\n D --> B\n E --> B\n F --> B\n G --> H\n H -->|其它| I\n H -->|choice=1| J\n H -->|choice=2| K\n H -->|choice=3| L\n H -->|choice=4| M\n I --> B\n J --> B\n K --> B\n L --> B\n M --> B\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/062ea979d9c9b233d59b33b7d36eca2d.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B{\"确定运算?\"}\n C[\"输入一串字符\"]\n D{\"是字母们吗\"}\n E[\"输入异常\"]\n F{\"加密/解密?\"}\n G[\"$$C \\equiv (m+k)modb$$\"]\n H[\"$$m \\equiv (c-k)modb$$\"]\n I[\"输出明/密文\"]\n J{\"还继续?\"}\n K([\"结束\"])\n\n A --> B\n B -->| 是
（其它数字）| C\n B -->|不（0）| K\n C --> D\n D -->|是| F\n D -->|不是| E\n E --> J\n F -->|加| G\n F -->|解| H\n G --> I\n H --> I\n I --> J\n J -->|是| C\n J -->|不| K\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/f4337847808102281a0504d3efbecd79.png", "anno": "### 二.三班 泰若溪\n\n```mermaid\nflowchart TD\n A@{ shape: text, label: \"种子\" }\n B@{ shape: text, label: \" \" }\n C@{ shape: text, label: \" \" }\n D@{ shape: text, label: \" \" }\n E@{ shape: text, label: \"制成面粉\" }\n F@{ shape: text, label: \" \" }\n G@{ shape: text, label: \"这就成了人们吃的馍了。\" }\n H@{ shape: text, label: \"从种子到人们日常生活中，每天所吃到的馒头。\" }\n\n A ===>|播种| B\n B ===>|除草 施肥| C\n C ===>|成熟脱粒| D\n D ===> E\n E ===>|加工上锅蒸馍| F\n F ===> G\n G ~~~ H\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b62db0694fdec82ca582a38d416605dd.png", "anno": "### 贵阳观山湖逸香斋餐馆食品加工流程图\n\n```mermaid\nflowchart TD\n A[\"原料、辅料验收\"]\n B[\"退回销售商\"]\n C[\"餐用具\"]\n D[\"原料、辅料贮藏\"]\n E[\"粗加工\"]\n F[\"切配\"]\n G[\"烹调\"]\n H[\"食品留样\"]\n I[\"装盘\"]\n J[\"餐具消毒保洁\"]\n K[\"摆台食用\"]\n\n A --> B\n A -->|合格| D\n A --> E\n D --> E\n C --> J\n C --> K\n D -->|辅料| G\n E --> F\n F --> G\n G --> H\n G --> I\n J --> I\n I --> K\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/45771105738a6110dc60ea13598698cb.png", "anno": "### 千人床\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"种树\"}\n B@{shape: text, label: \"伐木\"}\n C[\"木板\"]\n D[\"木板 油漆\"]\n subgraph ide1[\" \"]\n E@{shape: text, label: \"设计\"}\n F@{shape: text, label: \"制作\"}\n end\n G@{shape: text, label: \"成品\"}\n H[\"包裹\"]\n I@{shape: text, label: \"运输\"}\n J@{shape: text, label: \" \"}\n\n A ==> B\n B ==> C\n C ==> D\n D ==> ide1\n ide1 ==> G\n G ==> H\n H ==> I\n I ==> J\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/1d5d30a7e943ba401f98c2b4d2ced695.png", "anno": "### 操作流程图\n\n```mermaid\nflowchart TD\n A[\"原材料验收\"]\n B[\"返回销售商\"]\n C[\"原材料贮藏\"]\n D[\"粗加工\"]\n E[\"切配\"]\n F[\"精加工、烘烤\"]\n G[\"即成 成品\"]\n H[\"销毁、丢弃\"]\n I[\"打包、销售\"]\n\n A -->|不合格| B\n A -->|合格| C\n A --> D\n C --> D\n D --> E\n E --- F\n F -->|晾凉| G\n C --> F\n G -->|不合格| H\n G -->|合格| I\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/589d8d17f851833ca25ce5ab66e30496.png", "anno": "### 遗传算法流程图：\n\n```mermaid\nflowchart TD\n A([\"开始\"])\n B([\"初始化种群\"])\n C[\"种群第一代
G=0\"]\n D@{shape: text, label: \"G即第n代\"}\n E[\"计算适应度\"]\n F[\"选择操作\"]\n G[\"交叉操作\"]\n H[\"变异操作\"]\n I[\"产生下一代种群\"]\n J{\"G > 迭代次数\"}\n K[\"G = G + 1\"]\n L[\"输出最佳方案\"]\n M([\"结束\"])\n\n A ==> B\n B --> C\n D ~~~ C\n C --> E\n E --> F\n F --> G\n G --> H\n H --> I\n I --> K\n K --> J\n J -->|No| E\n J -->|Yes| L\n L --> M\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/358392d33349f938b3f9173409427f6e.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"输入a,b,c\"]\n C{\"c < b\"}\n D[\"x=b
b=c
c=x\"]\n E{\"c < a\"}\n F[\"x=a
a=c
c=x\"]\n G{\"b < a\"}\n H[\"x=a
a=b
b=x\"]\n I[\"输出a,b,c\"]\n J([\"结束\"])\n\n A --> B\n B --> C\n C -->|T| D\n C -->|F| E\n D --> E\n E -->|T| F\n E -->|F| G\n F --> G\n G -->|T| H\n G -->|F| I\n H --> I\n I --> J\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/2ae078bbd726ed678fd5c52a6da92344.png", "anno": "```mermaid\nflowchart TD\n A@{shape: text, label: \"正方形\"}\n B@{shape: text, label: \"水杯\"}\n C@{shape: text, label: \"牛奶盒\"}\n D@{shape: text, label: \"信封\"}\n E@{shape: text, label: \"袋子\"}\n F@{shape: text, label: \"画框\"}\n G@{shape: text, label: \"插座\"}\n H@{shape: text, label: \"书本\"}\n I@{shape: text, label: \"黑板\"}\n J@{shape: text, label: \"骰子\"}\n K@{shape: text, label: \"日历\"}\n L@{shape: text, label: \"插头\"}\n M@{shape: text, label: \"魔方\"}\n\n A --> B\n A ~~~ E\n B --> C\n C --> D\n E --> F\n E ~~~ I\n F --> G\n G --> H\n I --> J\n I ~~~ M\n J --> K\n K --> L\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/431e582cdf617cb34445cff24071676b.png", "anno": "### 排版\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"先设一铁板\"}\n B@{shape: text, label: \"以松脂、蜡和纸灰一类冒之\"}\n C@{shape: text, label: \"以铁范置铁板上,满铁范为一板\"}\n D@{shape: text, label: \"持就火炀之\"}\n E@{shape: text, label: \"以一平板按其面，则字平如抵\"}\n\n A ==> B\n B ==> C\n C ==> D\n D ==> E\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/1f1a49bdd434aad39fa4589e8df481e4.png", "anno": "### 千人面包\n\n```mermaid\nflowchart TD\n A[\"禾苗\"]\n B[\"小麦\"]\n C[\"面粉\"]\n D[\"母鸡\"]\n E[\"鸡蛋\"]\n F[\"面包\"]\n G[\"烤面包\"]\n H[\"包装\"]\n I[\"销售\"]\n\n A --> B\n B --> C\n D --> E\n C --> F\n E --> F\n F --> G\n G --> H\n H --> I\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/75c21e3556598ff92627ac16fa61fb73.png", "anno": "### 可行性分析—逻辑图：\n\n```mermaid\nflowchart TD\n A([\"开始\"])\n B@{ shape: bow-rect, label: \"医生输出病患标准数据\" }\n C[\"采集病人生理数据\"]\n D{\"对比大小\"}\n E[(\"服务器\")]\n F[\"警报\"]\n G([\"结束\"])\n\n A --> B\n B --> C\n C --> E\n B <--> E\n C --> D\n D -->|在预测范围内| C\n D -->|不在预测范围| F\n F --> G\n```\n\n\n```mermaid\nflowchart TD\n A[\"医生\"]\n B[\"$$D_{1}$$: 标准数据\"]\n C((\"服务器\"))\n D[\"病人端客户机\"]\n E[\"$$D_{2}$$: 实测数据\"]\n F[\"$$D_{3}$$: 警报数据\"]\n G[\"护士\"]\n H[\"$$D_{4}$$: 指定打印数据\"]\n\n A <--> B\n B --> C\n D <--> E\n E --> C\n C --- F\n F --> G\n C <--> H\n G <--> H\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/2ab72d85afe17f2aae80bdfe0ddffec6.png", "anno": "### 制作过程\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"朴籽叶\"}\n B@{shape: text, label: \"摘朴子叶\"}\n C@{shape: text, label: \"洗净\"}\n D@{shape: text, label: \"榨汁\"}\n E@{shape: text, label: \"倒入面粉、粘米粉、泡打粉\"}\n F@{shape: text, label: \"加朴籽汁搅伴均匀\"}\n G@{shape: text, label: \"倒入模具\"}\n H@{shape: text, label: \"蒸熟\"}\n\n A ==> B\n B ==> C\n C ==> D\n D ==> E\n E ==> F\n F --> G\n G --> H\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a0f4a2525035801b5803f7e02c815472.png", "anno": "```mermaid\nflowchart TD\n A([开始])\n B[\"输入一个整数值num\"]\n C{num=65}\n D[\"输出: A\"]\n E{num=66}\n F{num=67}\n G[\"break;\"]\n H[\"输出: B\"]\n I[\"break;\"]\n J[\"输出: C\"]\n K[\"输出: END;\"]\n L[\"break;\"]\n M([结束])\n\n A --> B\n B --> C\n C -->|T| D\n C --> E\n E --> H\n E --> F\n F -->|F| K\n F --> J\n D --> G\n G --> M\n H --> I\n I --> M\n J --> L\n L --> M\n K --> M\n D --> H\n H --> J\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/ef334ee9fb4d65cfb05038a51d422ee9.png", "anno": "```mermaid\nflowchart TD\n A([\"开始\"])\n B[\"给定$$ a, b, \\varepsilon $$\"]\n C[\"$$ \\lambda = 0.618 $$\"]\n D[\"$$ \\alpha_{1} = b - \\lambda(b-a) \\quad y_{1} = f(\\alpha_{1}) \\qquad \\alpha_{2} = a + \\lambda(b-a) \\quad y_{2} = f(\\alpha_{2}) $$\"]\n E{\"$$ y_{1} > y_{2} $$\"}\n F[\"$$ a = \\alpha_{1} \\qquad \\alpha_{1} = \\alpha_{2} \\quad y_{1} = y_{2} $$\"]\n G[\"$$ b = \\alpha_{1} \\qquad \\alpha_{2} = \\alpha_{1} \\quad y_{2} = y_{1} $$\"]\n H[\"$$ \\alpha_{2} = a + \\lambda(b+a) \\qquad y_{2} = f(\\alpha_{2}) $$\"]\n I[\"$$ \\alpha_{1} = b - \\lambda(b-a) \\qquad y_{1} = f(\\alpha_{1}) $$\"]\n J{\"$$ \\mid y_{2} - y_{1}\\mid \\lt \\varepsilon $$\"}\n K[\"$$ a^{\\ast} = \\frac{1}{2}(a + b) $$\"]\n L@{shape: text, label: \"结束\"}\n\n A --> B\n B --> C\n C --> D\n D --> E\n E -->|是| F\n F --> H\n E -->|否| G\n G --> I\n I --> J\n H --> J\n J -->|是| K\n J -->|否| E\n K --> L\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/770f942c77372bb8d090857d5175f372.png", "anno": "### 算法流程图\n\n```mermaid\nflowchart TD\n A([\"开始\"])\n B[/\"输入a,b,c\"/]\n C{\"$$a\\neq0?$$\"}\n D[\"$$\\Delta=b^{2}-4ac$$\"]\n E{\"$$\\Delta\\lt0?$$\"}\n F[/\"输出“方程无实数根”\"/]\n G[\"$$x_{1}=\\frac{-b+\\sqrt{\\Delta}}{2a}\\qquad x_{2}=\\frac{-b-\\sqrt{\\Delta}}{2a}$$\"]\n H[/\"输出$$x_{1},x_{2}$$\"/]\n I{\"$$b\\neq0?$$\"}\n J[\"$$x=-\\frac{c}{b}$$\"]\n K[\"输出x\"]\n L{\"$$c\\neq0?$$\"}\n M[/输出“方程无实数根”/]\n N[/输出“方程的解是全体实数”/]\n O([\"结束\"])\n\n A --> B\n B --> C\n C -->|Y| D\n C -->|N| I\n D --> E\n E -->|Y| F\n E -->|N| G\n G --> H\n I -->|Y| J\n I -->|N| L\n J --> K\n L -->|Y| M\n L -->|N| N\n F --> O\n H --> O\n K --> O\n M --> O\n N --> O\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/bfdcee523c2c484e5fb7a0278e29b29b.png", "anno": "```mermaid\nflowchart TD\n A(\"开始\")\n B[\"i=1,A=0,B=0\"]\n C[/\"输入Xi\"/]\n D{\"Xi>0\"}\n E[\"A=A+Xi\"]\n F[\"B=B+Xi\"]\n G[\"i=i+1\"]\n H{\"i≤20\"}\n I[/\"输出A,B\"/]\n J(\"结束\")\n\n A --- B\n B --- C\n C --- D\n D ---|是| E\n D ---|否| F\n E --- G\n F --- G\n G --- H\n H -->|是| C\n H ---|否| I\n I --- J\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/794ad5186ef06eeeb908768fcf0dbffb.png", "anno": "```mermaid\nflowchart TD\n A@{ shape: text, label: \"① 准备材料：胶泥 刻刀 铁板 松脂/蜡/纸灰之类 白纸\" }\n B@{ shape: text, label: \"② 胶泥刻字：\" }\n C@{ shape: text, label: \"③ 火烧令坚\" }\n D@{ shape: text, label: \"④ 设铁板\" }\n E@{ shape: text, label: \"⑤ 满铁泥一板，置于板上\" }\n F@{ shape: text, label: \"⑥ 持就火炀之\" }\n G@{ shape: text, label: \"⑦ 用一平板按其面\" }\n H@{ shape: text, label: \"⑧ 常作二铁板\" }\n I@{ shape: text, label: \"⑨ 有奇字素无备者，旋刻之，以草火烧\" }\n J@{ shape: text, label: \"⑩ 更互用之\" }\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G --> H\n H --> I\n I --> J\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/48602e91ceb29697036d6574d2896501.png", "anno": "```mermaid\nflowchart TD\n A[/\"读取$$ P_{3} $$\"/] \n B{\"$$ P_{3} $$=003\"}\n C{\"$$ P_{3} $$=001\"}\n D{\"$$ P_{3} $$=002\"}\n E[\"$$ k_{1} $$\"]\n F[\"$$ k_{2} $$\"]\n\n A ---|\"$$ P_{3} $$\"| B\n B -->|是| A\n B ---|不是| C\n C ---|\"$$ 是\\ 则k_{1}按下.执行左移 $$\"| E\n C ---|不是| D\n D ---|\"$$ 是\\ 则k_{2}按下\\ 执行右移 $$\"| F\n D -->|不是
继续等待| A\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/d0827f110e09331a66f2057915fee4ec.png", "anno": "```mermaid\nflowchart TD\n A[\"client
int main() { }\"]\n B[\"ElectFactory
CreateComputer()=0
CreateMobiePhone()=0\"]\n C[\"LENOVOFactory
CreateComputer()
CreateMobiephone()\"]\n D[\"Acer Factory
CreateComputer()
CreateMobiephone()\"]\n E[\"AsesuFactory
CreateComputer()
CreaterMobiephone()\"]\n F[\"Eclc Elec Product\"]\n G[\"Computer\"]\n H[\"MobiePhone\"]\n\n A --- B\n A --- F\n B --- C\n B --- D\n B --- E\n C -.-> G\n C -.-> H\n D -.-> G\n D -.-> H\n E -.-> G\n E -.-> H\n F --- G\n F --- H\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/fd27c0708f39750952987bf42a4f7c68.png", "anno": "```mermaid\nflowchart TD\n A[\"Start\"]\n B[\"system clock Initialization\"]\n C[\"GPIO Initialization\"]\n D[\"Display Initialization\"]\n E[\"Product Information Initialization\"]\n F[\"Key Initialization\"]\n G[\"Goods Sensor Initialization\"]\n H[\"pickup Sensor Initialization\"]\n I{\"Loop Execution while (1)\"}\n J[\"User Input Command\"]\n K{\"check if Input is Valid\"}\n L[\"Execute Different Operations\"]\n M[\"Display Updates Product Information\"]\n N[\"Update Dispensing Motor\"]\n O[\"Check if User Initiates Shutdown\"]\n P[\"Exit System Operation\"]\n Q[\"Display Updates Product Information\"]\n R[\"Check if Microcontroll-er is Powered off\"]\n S[\"End\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n F --> G\n G --> H\n H --> I\n I --> J\n J --> K\n K -->|Y| L\n K -->|N| J\n L --> M\n M --> N\n N --> O\n O -->|Y| P\n O -->|N| J\n P --> Q\n Q --> R\n R -->|Y| S\n R -->|N| I\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/85c6b332a2fd0c028969f6d3b8a1d044.png", "anno": "```mermaid\nflowchart TD\n A[\"start\"]\n B[\"Age above 40 years old\"]\n C[\"Not included program\"]\n D[\"Risk Assessment
health check\"]\n E[\"High diabetes risk\"]\n F[\"High blood pressure\"]\n G[\"Lifestyle Risk Management\"]\n H[\"clinical Assessment\"]\n I[\"Risk Managment\"]\n J[\"5 years\"]\n K[\"Remain programme\"]\n L[\"End\"]\n\n A --> B\n B -->|Yes| D\n B -->|No| C\n C --> L\n D --> E\n E -->|Yes| H\n E -->|No| F\n F -->|Yes| H\n F -->|No| G\n G --> J\n H --> I\n I --> G\n J --> K\n K -->|Yes| D\n K -->|No| L\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/c453388b7cc1e8a2c316858a0244af00.png", "anno": "```mermaid\nflowchart TD\n A@{ shape: text, label: \"构造函数 Function\" }\n B@{ shape: text, label: \"Function.prototype\" }\n C@{ shape: text, label: \"function(实例)\" }\n D@{ shape: text, label: \"object.prototype\" }\n E@{ shape: text, label: \"object\" }\n F@{ shape: text, label: \"null\" }\n\n A -->|prototype| B\n B -->|constructor指向本身| A\n A -->|new| C\n C -->|\"--proto--([[prototype]])\"| B\n B -->|--proto--| D\n D -->|Constructor| E\n E -->|prototype| D\n D -->|--proto--| F\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/2f47af1711695222417e080b5e0ea9f8.png", "anno": "```mermaid\nflowchart TD\n A[\"Confucianism\"]\n B[\\\"doctrine of Confucius and Mencius\"/]\n C[\"thoughts and characteristics\"]\n D[\"influence\"]\n subgraph id1[ ]\n E[\"Confucius\"]\n F[\"Menous\"]\n G@{shape: text, label: \""benevolence" "propriety"
《The Analects of Confucius》\"}\n H@{shape: text, label: \""policy of benevolence"
"People are more important than the Emperor"\"}\n end\n I[\""benevolence" "righteousness" "propriety" "wisdom" "fidelity"\"]\n subgraph id2[ ]\n J[\"① Harmony and peaceful development\"]\n K[\"② Human consciousness and respect for people\"]\n L[\"③ The sense of distress and responsibility\"]\n M[\"④ Moral consciousness and civilization\"]\n end\n\n A --> B\n A --> C\n A --> D\n B --- id1\n E --- G\n F --- H\n C --- I\n D --- id2\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/dec02835dff487de3b95a8c3322fd843.png", "anno": "```mermaid\nflowchart TD\n A[\"stamps\"]\n B[\"Canada\"]\n C[\"They have got ···\"]\n D[\"China\"]\n E[\"Letters for you\"]\n F[\"have another Chinese stamps\"]\n G[\"Do you collect stamps?\"]\n H[\"Yes, I have / No, I haven't\"]\n\n A ---|from| B\n B --- C\n A --- D\n D --- E\n E --> F\n A --- G\n G --- H\n G --- H\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/7e3c9a4180d4643b4ab5cf8edff960f8.png", "anno": "```mermaid\nflowchart TD\n A(\"start\")\n B[\"target = random()\"]\n C[/\"Read guess\"/]\n D{\"target == guess\"}\n E[\"print \\\"you won!\\\"\"]\n F[\"print \\\"wrong guess, try again\\\"\"]\n\n A --> B\n B --> C\n C --> D\n D -->|True| E\n D -->|False| F\n F --> C\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b54aab761613eab2d2b966c5b0c63bea.png", "anno": "```mermaid\nflowchart TD\n A[\"p
name="若愚
--proto--\"]\n B[\"Person
name
prototype
--proto--\"]\n C[\"Person.prototype
sayName
--proto--
constructor\"]\n D[\"Function
prototype
--proto--\"]\n E[\"Function.prototype
--proto--
constructor\"]\n F[\"Object
prototype
--proto--\"]\n G[\"Object.prototype
constructor
--proto--
to String\"]\n H[\"Null\"]\n\n A --> B\n B --> C\n B --> D\n C --> B\n C --> F\n D --> E\n E --> D\n E --> F\n F --> G\n G --> F\n G --> H\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/c29acd392b8088187ee9cd60a8914388.png", "anno": "```mermaid\nflowchart TD\n A[\"Benefits of working\"]\n B[\"mentally\"]\n C[\"materially\"]\n D[\"self-affirmation\"]\n E[\"social-affirmation\"]\n F[\"stable income\"]\n G[\"physical health\"]\n H[\"self satisfaction\"]\n I[\"self-revenge\"]\n J[\"mental fulfilment\"]\n K[\"enhance experience\"]\n L[\"Social feedback\"]\n M[\"social prestige\"]\n N[\"Government recognition\"]\n O[\"Potential salary increase potential\"]\n P[\"basic salary\"]\n Q[\"You can buy everything you want\"]\n R[\"exercise regular\"]\n S[\"walking\"]\n T[\"cycling\"]\n U[\"runing\"]\n V[\"Company gym\"]\n W[\"regular diet\"]\n X[\"breakfast\"]\n Y[\"lunch\"]\n Z[\"dinner\"]\n\n A --- B\n A --- C\n B --- D\n B --- E\n C --- F\n C --- G\n D --- H\n H --- I\n I ~~~ J\n J ~~~ K\n E --- L\n L --- M\n M ~~~ N\n F --- O\n F --- P\n P --- Q\n G --- R\n R --- S\n S ~~~ T\n T ~~~ U\n U ~~~ V\n G --- W\n W --- X\n X --- Y\n Y ~~~ Z\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/05e5884166eb651855bb14073221b3d4.png", "anno": "```mermaid\nflowchart TD\n A[\"Control Unit 1\"]\n B[\"Processor Unit 1\"]\n C[\"Control Unit 2\"]\n D[\"Processor Unit 2\"]\n E[\"control unit n\"]\n F[\"Processor Unit n\"]\n subgraph ide1 [ ]\n G[\"memory module 1\"]\n H[\"memory module 2\"]\n I[\"memory module n\"]\n end\n\n A -->|Instruction
stream 1| B\n A ~~~ C\n B <-->|data
stream 1| ide1\n B ~~~ D\n C -->|Instruction
stream 2| D\n D <-->|data
stream 2| ide1\n E -->|Instruction
stream n| F\n F <-->|data
stream n| ide1\n G ~~~ H\n H ~~~ I\n ide1 -->|Instruction stream| A\n ide1 -->|Instruction stream| C\n ide1 -->|Instruction stream| E\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9753dddaaced1f01aa210ab2b2af892b.png", "anno": "```mermaid\nflowchart TD\n A@{shape: text, label: \"Post Metadata()\"}\n B@{shape: text, label: \"Write DataList()\"}\n C@{shape: text, label: \"WriteData()\"}\n D@{shape: text, label: \"Publish Metadata()\"}\n E@{shape: text, label: \"SetMetadataByTag()\"}\n F@{shape: text, label: \"Publish MetadataInternal()\"}\n G@{shape: text, label: \"NotifyImmediate()\"}\n H@{shape: text, label: \"NotifyCliene()\"}\n I@{shape: text, label: \"On ProperyUpdate()\"}\n J@{shape: text, label: \"UpdateDependency()\"}\n K@{shape: text, label: \"UpdateOrRemoveDependency()\"}\n L@{shape: text, label: \"On MetadataUpdate()\"}\n M@{shape: text, label: \"UpdateDependency()\"}\n N@{shape: text, label: \"UpdateOrRemoveDependency()\"}\n\n A --> B\n B --> C\n C --> D\n C --> E\n D --> F\n F --> G\n G --> H\n H --> I\n H -->|IsProperty（unitId）| L\n I --> J\n J --> K\n L --> M\n M --> N\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/147562639210a83277396997b23e4fa4.png", "anno": "```mermaid\nflowchart TD\n A([\"start\"])\n B[\"SC=n-1
M=Divisor
A=0
Q=Devidend\"]\n C[\"shift left AQ\"]\n D[\"A=A-M\"]\n E{\"MSB of A\"}\n F[\"$$Q_{O}=1$$\"]\n G[\"$$Q_{O}=0$$
Restore A\"]\n H[\"SC=SC-1\"]\n I{\"SC=0\"}\n J[/\"Quotient in Q
and remainder in A\"/]\n K([\"end.\"])\n\n A --> B\n B --> C\n C --> D\n D --> E\n E -->|=0| F\n E -->|=1| G\n F --> H\n G --> H\n H --> I\n I ---|No| B\n I -->|Yes| J\n J --> K\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/eb7490fd020b573ed842615ed16201f6.png", "anno": "```mermaid\nflowchart TD\n A[\"Determine Requirements & objectives\"]\n B[\"Requirements Investigation\"]\n C[\"Requirements List\"]\n D[\"Output Requirements Plan\"]\n E[\"Did Requirements Review Pass?\"]\n F[\"Requirements Development & Testing\"]\n G[\"Did Requirements Acceptance Pass.\"]\n H[\"Evaluate & Adjust Scope.\"]\n I[\"Development Adjustment.\"]\n J[\"Test & Verify\"]\n K[\"Launch\"]\n L[\"Review\"]\n\n A --> B\n B --> C\n C --> D\n D --> E\n E -->|NO| D\n E -->|NO| F\n F --> G\n G -->|yes| K\n G -->|no| H\n H --> I\n I --> J\n J --> G\n K --> L\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/fcb6dacb574982160d8fd87845b463ac.png", "anno": "```mermaid\nflowchart TD\n A[\"Control Unit\"]\n B[\"Processor Umit 1\"]\n C[\"Processor Unit 2\"]\n D[\"Processor Unit 3\"]\n subgraph id1 [\" \"]\n E[\"memory module 1\"]\n F[\"memory module 2\"]\n G[\"memory module 3\"]\n end\n\n A -->|Instruction
Stream| B\n A -->|Instruction
Stream| C\n A -->|Instruction
Stream| D\n B <-->|Data Stream| id1\n C <-->|Data Stream| id1\n D <-->|Data Stream| id1\n id1 -->|Instruction Stream| A\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6b2edaec3cf8fcda3d9d7b5093c73853.png", "anno": "```mermaid\nflowchart TD\n A[\"Entry (systerm-call)\"]\n B[\"SAVE ALL\"]\n C{\"cmpl $(nr-syscalls), %eax\"}\n D[\"Syscall-badsys\"]\n E[\"call*sys-call_table(,%eax.4)\"]\n F[\"movl %eax, PT-EAX(%esp)\"]\n G{\"syscall exit.\"}\n H[\"syscall-exit-work\"]\n I[\"work-pending\"]\n J[\"work-resched\"]\n K[\"restore-all\"]\n L[\"iret\"]\n\n A --> B\n B --> C\n C -->|NO| D\n C -->|Yes| E\n E --> F\n F --> G\n G -->|Yes| H\n G -->|NO| K\n H --> I\n I --> J\n J --> K\n K --> L\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b9d7ca0e6cf49125054a0f280d0608d5.png", "anno": "```mermaid\nflowchart TD\n A[\"Scaling Solution\"]\n B[\"Sidechain\"]\n C[\"Plasma\"]\n D[\"Rollups\"]\n E[\"Validium\"]\n F[\"State Channels\"]\n G[\"Optimistic Rollup\"]\n H[\"FRAUD PROOF\"]\n I[\"Zero knowledge Rollup\"]\n J[\"VALIDITY PROOF\"]\n K[\"ZK SNARK\"]\n L[\"ZK STARK\"]\n\n A --> B\n A --> C\n A --> D\n A --> E\n A --> F\n D --> G\n D --> I\n G --> H\n I --> J\n J --> K\n J --> L\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/dacffca09911d9fe743890295e9079a3.png", "anno": "```mermaid\nflowchart TD\n A((\"start\"))\n B[\"current $$=S_{0}$$\"]\n C{\"is current a leaf node?\"}\n D[\"current = child node of current that maximises UCB1 ($$S_{i}$$)\"]\n E{\"is the $$\\ n_{i}\\ $$ value for current 0?\"}\n F[\"ROLLOUT\"]\n G[\"for each available action from current, add a new state to the tree\"]\n H[\"current = first new child node\"]\n I[\"ROLLOUT\"]\n\n A --> B\n B --> C\n C -->|NO| D\n D --> C\n C -->|YES| E\n E -->|YES| F\n E -->|NO| G\n G --> H\n H --> I\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b5bef5236c871f2c9499df23b699cc90.png", "anno": "```mermaid\nflowchart TD\n A[\"DEPARTMENT
Name
getAverageSalary\"]\n B[\"ALLOCATION\"]\n C[\"EMPLOYEE
Name
Salary
getAge\"]\n D[\"ROLE
Name\"]\n E[\"SEX
Name\"]\n F[\"Race
Name\"]\n\n A --- B\n B --- C\n C --- D\n C --- E\n C --- F\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/27a3d8e67f58e648b5eccd89921fdfc2.png", "anno": "```mermaid\nflowchart TD\n A[\"p1.
饥人谷
--proto--\"]\n B[\"p2.
前端
--proto--\"]\n C[\"people.prototype
Walk.
Constructor
--proto--\"]\n D[\"People
name
syaName
prototype
--proto--\"]\n E[\"fuction.prototype
Constructor
--proto--\"]\n F[\"object.prototype
Constructor
--proto--\"]\n G[\"fuction.
prototype
--proto--\"]\n H[\"object
prototype
--proto--\"]\n I[\"NULL\"]\n\n A --> C\n B --> C\n D --> C\n C --> D\n D --> E\n C --- E\n C --> F\n E --> G\n F --> H\n F --> I\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/04e4fd0609ac1cf648859c2e5dd03964.png", "anno": "### 组合继承\n\n```mermaid\nflowchart TD\n A[\"Object
Prototype\"]\n B[\"Object Prototype
Constructor
toString (function)
... ...\"]\n C[\"Person
Prototype\"]\n D[\"Person Prototype
[[Prototype]]
Constructor\"]\n E[\"Boy
Prototype\"]\n F[\"Boy Prototype
[[Prototype]]
name undefined
sex undefined\"]\n G[\"boy
[[Prototype]]
name “张三”
sex 男
age 16\"]\n\n A --> B\n B --> A\n D --> B\n D --> C\n C --> D\n E --> F\n F --> D\n G --> F\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/bafb51c5594e91b111ef737a09c2611d.png", "anno": "```mermaid\nflowchart TD\n A[\"Iterable\"]\n B[\"Collection\"]\n C[\"List\"]\n D[\"Queue\"]\n E[\"Set\"]\n F[\"Abstractlist\"]\n G[\"Deque\"]\n H[\"SortedSet\"]\n I[\"Vector\"]\n J[\"ArrayList\"]\n K[\"LinkedList\"]\n L[\"Stack\"]\n M[\"PriorityQueue\"]\n N[\"TreeSet\"]\n O[\"HashSet\"]\n\n B --> A\n C --> B\n D --> B\n E --> B\n F --> C\n G --> D\n H --> E\n I --> F\n I --> G\n J --> F\n J --> G\n K --> G\n L --> I\n M --> D\n N --> H\n O --> E\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/987bc88ee25b2cfd25299dc8071d4f1e.png", "anno": "```mermaid\nflowchart TD\n subgraph id1[\" \"]\n A[\"Blob
- data
- diff
+ cpu_data()
+ cpu_diff()
+ gpu_data()
+ gpu_diff()
+ Reshape()\"]\n B[\"SyncedMem
- cpu_ptr
- gpu_ptr
+ cpu_data()
+ gpu_data()\"]\n end\n C[\"Layer_Factory Registry\"]\n D[\"Layer
- blob_
+ Setup()
+ Forward()
+ Backward()\"]\n E[\"DataReader\"]\n F[\"Filler
+ Fill()\"]\n G[\"DataTransformer
+ Transform\"]\n H[\"Net
- params_
- layers_
- blobs_
- bottom_vecs_
- top_vecs_
- params_lr_
- weight_decay_
+ Init()
+ Forward()
+ Backward()\"]\n I[\"Solver
- net_
- test_nets_
- callbacks_
- losses_
+ Init()
+ Restore()
+ Solve()
+ ApplyUpdate()\"]\n J[\"Solver_Factory Registry\"]\n K[\"P2PSync
- parent_
- children_
- queue_
- solver_
+ Prepare()
+ Run()\"]\n\n A ~~~ B\n id1 ==> D\n C --> D\n E --> D\n F --> D\n G --> D\n D ==> H\n H ==> I\n J --> I\n I ==> K\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/e556c2e06975682bd6e73b5ecfdab602.png", "anno": "```mermaid\nflowchart TD\n A[\"DEV\"]\n B[\"gitlab\"]\n subgraph ide1[\"NBE\"]\n C[\"Pot\"]\n D[\"ETCD\"]\n E[\"Levi\"]\n F[\"Test\"]\n G[\"Build\"]\n H[\"Levi\"]\n I[\"Registry\"]\n J[\"Container\"]\n K[\"Container\"]\n end\n L[\"log / Metric\"]\n\n A -->|PR| B\n A -->|merge| B\n A --> B\n B -->|Hook| C\n C -->|update| D\n C -->|Build/Test| E\n C -->|Deploy/update| H\n E --> F\n E --> G\n G --> I\n I --> H\n H --> L\n H --> J\n H --> K\n L --> A\n K -->|collect| L\n\n style ide1 fill:none,stroke:#333,stroke-dasharray:5 5\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f464971ac1d4618cfe5ecbe3c67b3616.png", "anno": "```mermaid\nflowchart TD\n A[\"Modify Login Password\"]\n B[\"Enter Original Password\"]\n C[\"Is it correct\"]\n D[\"Prompt to Re-enter\"]\n E[\"Enter New Password\"]\n F[\"Is the original password the same as the new password\"]\n G[\"Prompt that they are the same, Re-enter New Password\"]\n H[\"Re-enter New Password\"]\n I[\"Are the two new password entries the same\"]\n J[\"Prompt that they do not match, Re-enter the New Password Twice.\"]\n K[\"Password Modified Successfully\"]\n L[\"Forgot Password\"]\n M[\"Enter Email Address\"]\n N[\"Send Email\"]\n O[\"Enter Mobile Number\"]\n P[\"Get SMS verification Code and Enter it\"]\n Q[\"Reset Login Password\"]\n\n A --> B\n B --> C\n C -->|NO| D\n C -->|yes| E\n D --> B\n D --> L\n E --> F\n F -->|yes| G\n F -->|NO| H\n G --> E\n H --> I\n I -->|yes| K\n I -->|NO| J\n J --> H\n L --> M\n L --> O\n M --> N\n N --> Q\n O --> P\n P --> Q\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/233e1b600fff67d71ec6880983d7733c.png", "anno": "```mermaid\nflowchart TD\n A@{shape: text, label: \"IO流\"}\n B@{shape: text, label: \"字节流\"}\n C@{shape: text, label: \"字符流\"}\n D@{shape: text, label: \"InputStream\"}\n E@{shape: text, label: \"OutputStream\"}\n F@{shape: text, label: \"FileInputStream\"}\n G@{shape: text, label: \"FileOutputStream\"}\n H@{shape: text, label: \"BufferedInputStream\"}\n I@{shape: text, label: \"BufferedOutputStream\"}\n J@{shape: text, label: \"这里不是直接实现\"}\n K@{shape: text, label: \"Reader\"}\n L@{shape: text, label: \"Writer\"}\n M@{shape: text, label: \"InputStreamReader\"}\n N@{shape: text, label: \"OutputStreamWriter\"}\n O@{shape: text, label: \"FileReader\"}\n P@{shape: text, label: \"FileWriter\"}\n Q@{shape: text, label: \"BufferedReader\"}\n R@{shape: text, label: \"BufferedWriter\"}\n\n A --> B\n A --> C\n B --> D\n B --> E\n D --> F\n D --> H\n E --> G\n E --> I\n D -.- J\n E -.- J\n C --> L\n C --> K\n K --> Q\n K --> M\n M --> O\n L --> R\n L --> N\n N --> P\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9b8b3a779a61947f848ab08a25fac425.png", "anno": "```mermaid\nflowchart TD\n subgraph id1[ ]\n A[\"HDFS client\"]\n B[\"Distributed FileSystem\"]\n C[\"FSData InputStream\"]\n end\n D[\"NameNode\"]\n E[\"DataNode\"]\n F[\"DataNode\"]\n G[\"DataNode\"]\n\n A -->|1. open| B\n A -->|3. read| C\n A -->|6. close| C\n id1 -->|2. get block locations| D\n C -->|4. read| E\n C -->|5. read| G\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/78a7cfe0ba90eb4fd227adb99de667f5.png", "anno": "```mermaid\nflowchart TD\n A[\"start\"]\n B[\"WT588 Initialization\"]\n C[\"Bluetooth Serial Port Initialization\"]\n D[\"Display Information via Bluetooth/LCD1602\"]\n E[\"In Automatic Mode\"]\n F[\"Sound Detected\"]\n G[\"Turn On Motor\"]\n H[\"play Music.\"]\n I[\"Temperature Acquisition\"]\n J[\"Bedwetting Detected\"]\n K[\"LED Indicator Light On\"]\n L[\"WT588D Voice Broadcast.\"]\n M[\"In Manual Mode\"]\n N[\"System Enabled\"]\n O[\"Sound Detected\"]\n P[\"play music & Turn On Motor\"]\n Q[\"Display Current Status & Reset\"]\n R@{shape: text, label: \" \"}\n S[\"end\"]\n\n A --> B\n B --> C\n C --> D\n R --> D\n D --> E\n D --> I\n D --> M\n E --> F\n F -->|N| D\n F -->|Y| G\n G --> H\n H --> S\n I --> J\n J -->|Y| K\n J ---|N| Q\n K --> L\n L --> S\n M --> N\n N --> O\n O -->|N| P\n P -->|N| S\n Q --> S\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/ec94dcad73b43594be90466d42fcf37a.png", "anno": "```mermaid\nflowchart TD\n A[\"Stack.\"]\n B[\"Vector.\"]\n C[\"AttributeList\"]\n D[\"ArrayList.\"]\n E[\"LinkedList.\"]\n F[\"ArrayDeque\"]\n G[\"List.\"]\n H[\"Deque.\"]\n I[\"PriorityQueue\"]\n J[\"Queue.\"]\n K[\"EnumSet\"]\n L[\"Set.\"]\n M[\"LinkedHashSet\"]\n N[\"HashSet.\"]\n O[\"TreeSet.\"]\n P[\"SortedSet.\"]\n Q[\"Collection.\"]\n\n A --> B\n B --> G\n C --> D\n D --> G\n E --> G\n E --> H\n F --> H\n H --> J\n I --> J\n G --> Q\n J --> Q\n K --> L\n M --> N\n N --> L\n O --> P\n P --> L\n L --> Q\n\n style Q stroke-dasharray: 5 5\n style G stroke-dasharray: 5 5\n style J stroke-dasharray: 5 5\n style L stroke-dasharray: 5 5\n style H stroke-dasharray: 5 5\n style I stroke-dasharray: 5 5\n style P stroke-dasharray: 5 5\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9e4fe65cede10a4c50b7878955fd904d.png", "anno": "```mermaid\nflowchart TD\n A[\"start\"]\n B[\"Initialization\"]\n C[\"Scan Keypad\"]\n D{\"Key pressed?\"}\n E[\"Output Corresponding Tone\"]\n F{\"key released?\"}\n G[\"stop Output\"]\n\n A --> B\n B --> C\n C --> D\n D -->|NO| C\n D -->|Yes| E\n E --> F\n F -->|No.| E\n F -->|Yes| G\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/ef313d20cee99e27afe653bdf7436274.png", "anno": "```mermaid\nflowchart TD\n A(\"_clusterGraphics\")\n B(\"_clusterTest\")\n C(\"_claseerAddPoint\")\n D(\"_clusterCreate\")\n E(\"_showAllClusters\")\n F(\"_showcluster\")\n G[\"zoom changed\"]\n H[\"add new points\"]\n\n A ---|true| C\n A ---|false| D\n B -->|true| C\n B -->|false| D\n C --- E\n D --- E\n E --- F\n F --- G\n F --- H\n G --> A\n H -->|true| C\n H -->|false| D\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/758ef36a689733c3e220e26f4d1798d2.png", "anno": "```mermaid\nflowchart TD\n A[\"Start\"]\n B[\"User Management\"]\n C[\"Add User Information\"]\n D[\"User Information Parameter Setting\"]\n E[\"Judge Parameter Validity\"]\n F[\"Save User Information.\"]\n G[\"Query User Information\"]\n H[\"Enter Query Keywords\"]\n I[\"Return Query Results\"]\n J[\"End\"]\n K[\"view User Information\"]\n L[\"Modify User Information\"]\n M[\"Delete/Activate User\"]\n N[\"View Detailed Information\"]\n O[\"Modify User Information Parameters\"]\n P[\"Judge Validity of Modified Parameters\"]\n Q[\"Save User Information\"]\n R[\"Delete/Activate User Successful\"]\n\n A --> B\n B --> C\n B --> G\n B --> K\n B --> L\n B --> M\n C --> D\n D --> E\n E --> F\n E -->|NO| D\n F --> J\n G --> H\n H --> I\n I --> J\n K --> N\n L --> O\n O --> P\n P --> Q\n M --> R\n Q --> J\n R --> J\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/e2e2aea2c1445fc15c5626e069c3f91d.png", "anno": "```mermaid\nflowchart TD\n A[\"browser\"]\n B[\"Co. 7L proxy\"]\n C[\"JS\"]\n D[\"nginx\"]\n E[\"cloud store\"]\n F[\"cloud transcode\"]\n G[\"qpidd mq\"]\n H[\"queue\"]\n I[\"listener\"]\n J[\"message\"]\n K[\"mybatis\"]\n L[\"mysql\"]\n M[\"web resin\"]\n N[\"guava\"]\n O[\"Spring mvc\"]\n P[\"UTF8 encoder\"]\n Q[\"logback listener\"]\n R[\"dispatcher servlet\"]\n S[\"handler\"]\n T[\"controller\"]\n U[\"check\"]\n V[\"cloud store\"]\n W[\"http client\"]\n X[\"vrs\"]\n Y[\"dubbo\"]\n Z[\"service\"]\n AA[\"couchbase\"]\n AB[\"mybatis\"]\n AC[\"mysql\"]\n\n A -->|https| B\n A --> C\n B --> D\n C --> E\n D --> M\n E --> F\n F --> G\n G -->|direct| H\n H --> I\n I --> J\n J --> K\n K --> L\n M --> N\n M --> O\n M --> P\n M --> Q\n O --> R\n R --> S\n S -->|Model And View| R\n S --> T\n T --> V\n T --> U\n T --> W\n W --> X\n X --> Y\n Y --> Z\n Z --> AA\n AA --> AB\n AB --> AC\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/3e625410251af7a4ba1ff42258211ca0.png", "anno": "```mermaid\nflowchart TD\n A[\"back bone\"]\n B[\"$$X_{2}\\quad X_{1}\\quad X_{0}$$\"]\n C@{shape: text, label: \"$$P_{3}$$\"}\n D[\"Concat+convx5\"]\n E@{shape: text, label: \"$$P_{3}$$-downsample\"}\n F@{shape: text, label: \"Yolo head ($$P_{3}$$)\"}\n G@{shape: text, label: \"$$P_{4} $$\"}\n H[\"Concat+Convx5\"]\n I[\"$$P_{4}$$-upsample.\"]\n J[\"Concat+Convx5\"]\n K@{shape: text, label: \"Yolo head ($$P_{4}$$)\"}\n L@{shape: text, label: \"$$P_{5}$$\"}\n M@{shape: text, label: \"Convx3\"}\n N[\"SPP\"]\n O@{shape: text, label: \"Convx3\"}\n P@{shape: text, label: \"$$P_{5}$$-upsample.\"}\n Q[\"Concat+convx5\"]\n R@{shape: text, label: \"Yolo head ($$P_{5}$$)\"}\n \n A --> B\n B --> C\n C --> D\n D --> E\n E --> F\n B --> G\n G --> H\n H -->|1| I\n I --> D\n H --> J\n J --> K\n J --> Q\n B --> L\n L --> M\n M --> N\n N --> O\n O --> P\n O --> Q\n P --> H\n Q --> R\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/e5d8897293bd65bc50633b79a1a0c3e3.png", "anno": "```mermaid\nflowchart TD\n A([\"Arrive at the station\"])\n B[\"Information Inquiry\"]\n C{\"Purchase, Collect, Refund or Change Ticket\"}\n D[\"Purchase, Collect, Refund or Change Ticket\"]\n E[\"Verification & Security check for Entry\"]\n F[\"Waiting\"]\n G[\"Commercial Operations Catering & Luggage Storage\"]\n H[\"Ticket Checking & Boarding\"]\n I[\"Alight & Walk\"]\n J[\"Ticket Checking & Exit\"]\n\n A --> B\n B --> C\n C -->|Yes| D\n C -->|No| E\n D --> E\n E --> F\n F --> H\n F --- G\n H --> I\n I --> J\n I -->|Transfer| F\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/46b2f6b10192afd2e935855a82757fa1.png", "anno": "```mermaid\nflowchart TD\n A@{shape: text, label: \"Main\"}\n B@{ shape: fork, label: \"Fork or Join\" }\n C@{ shape: fork, label: \"Fork or Join\" }\n D@{shape: text, label: \"Elevator\"}\n E{\"need to wait?\"}\n F[\"wait\"]\n G[\"deal with requests\"]\n H{\"is over?\"}\n I@{shape: text, label: \" \"}\n J@{ shape: fork, label: \"Fork or Join\" } \n K@{shape: text, label: \"Input\"}\n L[\"add new requests to queue\"]\n M{\"more requests\"}\n N@{shape: text, label: \" \"}\n O@{shape: text, label: \" \"}\n \n A -.- B\n B -->|Start Elevator| C\n B -->|Start Input| J\n B -.-|Thread Dead| O\n C --> E\n C --> G\n C --> H\n C -.-|Thread Dead| I\n D -.- C\n E -->|Yes| F\n E -->|No| C\n F -->|Notified| C\n H -->|Yes| C\n H -->|No| C\n J --> L\n J --> M\n J -.-|Thread Dead| N\n K -.- J \n L --> J\n M -->|Yes| J\n M -->|No| J\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/0aa88a742c8a24e1443f3543c4a180e2.png", "anno": "```mermaid\nflowchart TD\n A[\"Raw and auxiliary materials procuremet\"]\n B[\"Acceptance inspection\"]\n C[\"Return\"]\n D[\"Rough processing\"]\n E[\"Raw and auxiliary materials storage\"]\n F[\"Cutting and portioning\"]\n G[\"Heating and cooking\"]\n H[\"Leftover food storage\"]\n I[\"Rework for non-conforming products\"]\n J[\"Quality inspection\"]\n K[\"Food sample retention\"]\n L[\"Plating\"]\n M[\"Serving\"]\n N[\"Tableware\"]\n O[\"Washing\"]\n P[\"Disinfection\"]\n Q[\"Tableware Sanitization and Storage\"]\n\n A --> B\n B -->|Unqualified| C\n B -->|Qualified| D\n B --> E\n D --> F\n E --> D\n E -->|Auxiliary materials| G\n F --> G\n H --> G\n I --> G\n G --> J\n J --> K\n J --> I\n J --> L\n L --> M\n N --> O\n O --> P\n P --> Q\n Q --> L\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/5905c0bd4db88ca29706ee94d387ea61.png", "anno": "```mermaid\nflowchart TD\n A[\"Start\"]\n B[\"User browses the homepage\"]\n C[\"Purchase goods\"]\n D[\"Is the user logged in?\"]\n E[\"Is the user registered?\"]\n F[\"Enter the registration page\"]\n G[\"Is the registration information correct?\"]\n H[\"Registration failed\"]\n I[\"Registration successful\"]\n J[\"Enter the Login page\"]\n K[\"Is the login information correct\"]\n L[\"Return to the login page\"]\n M[\"Re-enter the homepage\"]\n N[\"Select and purchase goods\"]\n O[\"Enter the shopping cart page\"]\n P[\"Modify product quantify\"]\n Q[\"Checkout\"]\n R[\"Delete product\"]\n S[\"Checkout\"]\n T[\"Purchase successful\"]\n U[\"Return to the homepage\"]\n V[\"Exit the system\"]\n W[\"End\"]\n\n A --> B\n B --> C\n C --> D\n D --> O\n D --> E\n E -->|Yes| J\n E --> F\n F --> G\n G -->|No| H\n G --> I\n H --> F\n I --> J\n J --> K\n K -->|No| L\n K --> M\n L --> F\n M --> N\n N --> O\n O --> P\n O --> Q\n O --> R\n P --> S\n S --> T\n Q --> T\n R --> V\n T --> U\n T --> V\n U --> W\n V --> W\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/63628eb786e9e64ae9fa9c23c414e7e9.png", "anno": "### JCF Map相关\n\n```mermaid\nflowchart TD\n A[\"《interface》Map\"]\n B[\"《interface》SortedMap\"]\n C[\"AbstractMap\"]\n D[\"HashTable\"]\n E[\"TreeMap\"]\n F[\"Dictionary\"]\n G[\"HashMap\"]\n H[\"WeakHashMap\"]\n I[\"IdentityHashMap\"]\n J[\"LinkedHashMap\"]\n \n B --> A\n E -.-> B\n E --> C\n C -.-> A\n G --> C\n J --> G\n H --> C\n I --> C\n D -.-> A\n D --> F\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b68399e52b41a73b2829569532b6f778.png", "anno": "```mermaid\nflowchart TD\n A((\"Start\"))\n B[\"数组A, 轮数 <- 1, 下标 <- 0\"]\n C{\"轮数 <= A[length]\"}\n D[\"print A\"]\n E((\"End\"))\n F[\"minA <- A[下标]\"]\n G[\"Index <- 下标 + 1\"]\n H{\"0 < Index < A[length]\"}\n I{\"minA < A[Index]\"}\n J[\"minA <- A[Index]\"]\n K[\"Index <- Index + 1\"]\n L[\"交换 minA与A[下标] 的位置\"]\n M[\"下标 <- 下标 + 1\"]\n N[\"轮数 <- 轮数 + 1\"]\n\n A --> B\n B --> C\n C -->|是| F\n C -->|否| D\n D --> E\n F --> G\n G --> H\n H -->|是| I\n H --> L\n I -->|是| K\n I -->|否| J\n J --> K\n K --> H\n L --> M\n M --> N\n N --> C\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/179a7464814b0685152a2fc91b81c43d.png", "anno": "```mermaid\nflowchart TD\n A[\"Entry (system_call)\"]\n B[\"SAVE ALL\"]\n C{\"Cmpl $(nr_syscalls), %eax\"}\n D[\"Syscall_badsys\"]\n E[\"call *sys_call_table(, %eax, 4)\"]\n F[\"movl %eax, PT_EAX(%esp)\"]\n G{\"Syscall exit\"}\n H[\"syscall_exit_work\"]\n I[\"work_pending\"]\n J[\"work_resched\"]\n K[\"restore_all\"]\n L[\"iret\"]\n\n A --> B\n B --> C\n C -->|no| D\n C -->|yes| E\n E --> F\n F --> G\n G -->|yes| H\n G -->|no| K\n H --> I\n I --> J\n J --> K\n K --> L\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/c2a6e5883a66692aa31e7b66ebe9f34e.png", "anno": "```mermaid\nflowchart TD\n A[\"General Manager\"]\n B[\"Finance Director\"]\n C[\"Finance Department\"]\n D[\"Administration Department\"]\n E[\"Accountant\"]\n F[\"cashier\"]\n G[\"Receptionist\"]\n H[\"clerk\"]\n I[\"Marketing Director\"]\n J[\"Production Department\"]\n K[\"Sales & Marketing Department\"]\n L[\"Engineer\"]\n M[\"Technician\"]\n N[\"Salesperson\"]\n O[\"After-sales Service\"]\n\n A --> B\n A --> I\n B --> C\n B --> D\n C --> E\n C --> F\n D --> G\n D --> H\n I --> J\n I --> K\n J --> L\n J --> M\n K --> N\n K --> O\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6b0794091baf97419f1d92048712a851.png", "anno": "```mermaid\nflowchart TD\n A@{shape: text, label: \"Image $$ \\\\qquad 10\\\\times 3\\\\times 227\\\\times 227 $$\"}\n B[\"conv 1 $$ \\qquad 96\\times 11\\times 11,s4 $$\"]\n C[\"Pooling Switches 1$$ \\qquad ma\\times 3\\times 3, S2 $$\"]\n D[\"Slice Half 1 \"]\n E[\"Switches 1$$ \\qquad 10\\times 96\\times 27\\times 27 $$\"]\n F[\"LRN 1\"]\n G[\"conv 2 $$ \\qquad 256\\times 5\\times 5,p2,g2 $$\"]\n H[\"Pooling Switches 2$$ \\qquad ma\\times 3\\times 3, S2 $$\"]\n I[\"Slice Half \"]\n J[\"switches 2 $$ \\qquad 10\\times 256\\times 13\\times 13 $$\"]\n K[\"LRN 2\"]\n L[\"conv 3$$ \\qquad 384\\times 3\\times 3, p1 $$\"]\n M[\"conv 4$$ \\qquad 384\\times 3\\times 3, p1,g2 $$\"]\n N[\"conv 5$$ \\qquad 256\\times 3\\times 3,p1,g2 $$\"]\n O[\"Pod Switches 5$$ \\qquad ma\\times 3\\times 3, S2 $$\"]\n P[\"Slice Half 5\"]\n Q[\"switches 5$$ \\qquad 10\\times 256\\times 6\\times 6 $$\"]\n R[\"pooled $$ \\qquad 10\\times 256\\times 6\\times 6 $$\"]\n S[\"fc 6
relm 6
drop 6
fc 7
reln 7
drop 7
tc 8
prob\"]\n\n A --> B\n B -->|$$ 10\\times 96\\times 55\\times 55\\qquad $$ reln 1| C\n C -->|$$ 20\\times 96\\times 27\\times 27 $$| D\n D --> E\n D -->|$$ 10\\times 96\\times 27\\times 27 $$| F\n F -->|$$ 10\\times 96\\times 27\\times 27 $$| G\n G -->|$$ 10\\times 256\\times 27\\times 27\\qquad $$ reln 2| H\n H -->|$$ 20\\times 256\\times 13\\times B $$| I\n I --> J\n I -->|$$ 10\\times 256\\times 13\\times 13 $$| K\n K -->|$$ 10\\times 256\\times 13\\times 13 $$| L\n L -->|$$ 10\\times 384\\times 13\\times 13\\qquad $$ reln 3| M\n M -->|$$ 10\\times 384\\times 13\\times 13\\qquad $$ reln 4| N\n N -->|$$ 10\\times 256\\times 13\\times 13\\qquad $$ reln| O\n O -->|$$ 20\\times 256\\times 6\\times 6 $$| P\n P --> Q\n P --> R\n P --> S\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/fe219fe700b6d28b8ac6d3d61f24064a.png", "anno": "```mermaid\nflowchart TD\n A@{shape: text, label: \"Local coordinate\"}\n subgraph id1 [\" \"]\n B[\"Model transform\"]\n C[\"View transform\"]\n D[\"Project transform\"]\n end\n E@{shape: text, label: \"Vertex Shader\"}\n F[\"Perspective divide\"]\n G[\"Viewport transform\"]\n H@{shape: text, label: \"Vertex Post-processing\"}\n I@{shape: text, label: \"device coordinate / Screen Coordinate\"}\n\n A --> B\n B -->|World coordinate| C\n C -->|View coordinate| D\n id1 --- E\n D -->|Project coordinate| F\n F -->|Clip coordinate| G\n H --- F\n H --- G\n G --> I\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/4080bff9266093219bfec7adab242383.png", "anno": "```mermaid\nflowchart TD\n A[\"Start\"]\n B[\"System Initialization\"]\n C[\"IR Detection Module Sensing\"]\n D[\"IR Signal Detected?\"]\n E[\"LED Light Activated\"]\n F[\"Camera Captures Video\"]\n G[\"Buzzer Alarm Triggered\"]\n H[\"App Displays Live Feed\"]\n I[\"IR Detection Module Re-check.\"]\n J[\"IR Signal Detected?\"]\n K[\"End.\"]\n\n A --> B\n B --> C\n C --> D\n D -->|No| C\n D -->|Yes| E\n D -->|Yes| F\n E --> G\n F --> H\n G --> I\n H --> I\n I --> J\n I -->|Yes| E\n I -->|Yes| F\n J --> K\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/26971c45d6122aad0eaf2dc335df80d7.png", "anno": "### FC-CLIP\n\n```mermaid\nflowchart TD\n A@{shape: text, label: \"I\"}\n B[\"CLIP\"]\n C[\" \"]\n D[\"pixel decoder\"]\n E@{shape: text, label: \"cutputs\"}\n F@{shape: text, label: \"分类结果\"}\n G@{shape: text, label: \"抢码结果.\"}\n H[\"pred logits.
pred masks\"]\n subgraph ide1[\"training\"]\n I@{shape: text, label: \"原始 labels\"}\n J@{shape: text, label: \"原始 masks\"}\n K[\"target\"]\n L@{shape: text, label: \"losses.\"}\n end\n subgraph ide2[\"(train) text classifier\"]\n M@{shape: text, label: \"训练前一次性生成\"}\n N@{shape: text, label: \"dataset class names\"}\n O[\"CLIP\"]\n end\n P[\"Mask Pooling\"]\n Q[\"get classification logits\"]\n R@{shape: text, label: \"out vocab cls results\"}\n S[\" \"]\n T@{shape: text, label: \" \"}\n\n A --> B\n B -->|Feature| C\n C --> D\n C -->|CLIP Feature| P\n D --> E\n E --- F\n E --- G\n E -->|pred Masks.| P\n E --> L\n H -->|in. vocab cls results| S\n K --- I\n K --- J\n K -->|Criterion（匈牙利匹配）| L\n T\n N -->|train/test| O\n O -->|合并入Feature中
train text classifier| C\n O -->|test text classifier| Q\n P --> Q\n Q --> R\n R --> S\n S --> T\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/38228dafbc00e7b815a7893f9d9de269.png", "anno": "```mermaid\nflowchart TD\n A[\"Temperature Control logic\"]\n B[\"Temperature Detection\"]\n C[\"Cooling Control\"]\n D[\"Real-time Temperature > Upper Temperature limit\"]\n E[\"Cooling Motor Stop\"]\n F[\"Real-time Temperature < Upper Temperature limit\"]\n G[\"Cooling motor Start\"]\n H[\"End\"]\n I[\"Heating Control\"]\n J[\"Real-time Temperature < Lower Temperature Limit\"]\n K[\"Electric Heating Start\"]\n L[\"Real-time Temperature > Lower Temperature Limit\"]\n M[\"Electric Heating Stop\"]\n N[\"End\"]\n\n A --> B\n B --> C\n B --> I\n C --> D\n D --> E\n E --> F\n F --> G\n G --> H\n I --> J\n J --> K\n K --> L\n L --> M\n M --> N\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f5dc9fa044ea063eb4fc89c6179c5284.png", "anno": "```mermaid\nflowchart TD\n A[\"NRT Caching Directory\"]\n B[\"Tracking Directory Wrapper\"]\n C[\"Filter Directory\"]\n D[\"Rate Limited Directory Wrapper\"]\n E[\"Directory
+ file Exist()
+ file Length()
+ create Output()
+ sync()
+ open Input()
+ make Lock()
+ clear Lock()
+ close()
+ set Lock Factory()
+ get Lock ID()
+ copy()
+ ensure Open()\"]\n F[\"File Switch Directory\"]\n G[\"Base Directory\"]\n H[\"Compound FileDirectory\"]\n I[\"RAM Directory\"]\n J[\"FS Directory\"]\n K[\"SimpleFS Directory\"]\n L[\"MMap Directory\"]\n M[\"NI OFS Directory\"]\n\n C --> A\n C --> B\n C --> D\n E --> C\n E --> G\n G --> F\n G --> H\n G --> I\n G --> J\n J --> K\n J --> L\n J --> M\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b09a767bee953284eca68dc09e08a3d9.png", "anno": "```mermaid\nflowchart TD\n A@{ shape: f-circ, label: \"Connect\" }\n B[\"Login Status\"]\n C{\" \"}\n D@{ shape: f-circ, label: \"Connect\" }\n E[\"Enter System\"]\n F[\"Browse Book Information\"]\n G{\" \"}\n H[\"Exit System\"]\n I[\"Record Book Purchase Information\"]\n J[\"Place Order\"]\n K{\" \"}\n L[\"Await Restock\"]\n M[\"Restock\"]\n N[\"Process Transaction\"]\n O[\"Exit System\"]\n P@{ shape: f-circ, label: \"Connect\" }\n\n A --> B\n B --> C\n C -->|Login Successful| E\n C ---|Login Failed| D\n E --> F\n F --> G\n G -->|No Desired Book Found| H\n G -->|Desired Book Found| I\n I --> J\n J --> K\n K -->|In Stock| N\n K -->|Out of Stock| L\n L --> M\n M --> N\n N --> O\n O --> P\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/3aded419b6c7510b205c17087e333427.png", "anno": "```mermaid\nflowchart TD\n A[/\"读入向量x,y,xt,number\"/]\n B[\"n=length(x)\"]\n C{\"length(y)≠n+2\"}\n D[\"出错返回
"y应比x多两个数据"\"]\n E[\"m=length(xt)
A=zeros(n)\"]\n F[\"i=1\"]\n G{\"i≤n\"}\n H[\"A(i,i)=2\"]\n I[\"i=i+1\"]\n J[\"h=diff(x)
df=diff(y(2:n+1))./h\"]\n K[\"i=2\"]\n L{\"i≤n-1\"}\n M@{shape: text, label: \" \"}\n N@{shape: text, label: \" \"}\n O@{shape: text, label: \" \"}\n\n A --> B\n B --> C\n C -->|Y| D\n C -->|N| E\n E --> F\n F --- G\n G -->|Y| H\n G -->|N| J\n H --> I\n I --> G\n J --> K\n K --> L\n L ---|Y| M\n L -->|N| N\n O --> L\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/0bb0366476782fb828cfdd9ee27d375f.png", "anno": "```mermaid\nflowchart TD\n A[\"Restaurant Workflow Diagram\"]\n B[\"Open the Store\"]\n C[\"Hand Washing 8 Alcohol Sanitization\"]\n D[\"Check Equipment Operation\"]\n E[\"Ingredient Sorting\"]\n F[\"Ingredient Sorting\"]\n G[\"Ingredient Washing\"]\n H[\"Food Cooking\"]\n I[\"Close the Store at Night\"]\n J[\"Daily Inventory Write-off 8 Waste Separation\"]\n K[\"Utensil Sanitization\"]\n L[\"Raw Material Procurement.\"]\n M[\"Transportation\"]\n N[\"Segregated Storage\"]\n O[\"Refrigerator Storage\"]\n P[\"Room-Temperature storage\"]\n\n A --> B\n A --> I\n A --> L\n B --> C\n C --> D\n C --> E\n E --> F\n E --> G\n E --> H\n I --> J\n J --> K\n L --> M\n M --> N\n N --> O\n N --> P\n```", "chart_type": "流程图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/bcf7a57d7a4c36c92c8eb107503a7028.png", "anno": "| c TN | TN/($ \\text{mg}\\cdot\\text{L}^{-1} $)-最小值 | TN/($ \\text{mg}\\cdot\\text{L}^{-1} $)-Q1 | TN/($ \\text{mg}\\cdot\\text{L}^{-1} $)-中位数 | TN/($ \\text{mg}\\cdot\\text{L}^{-1} $)-Q3 | TN/($ \\text{mg}\\cdot\\text{L}^{-1} $)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 小雨 | 17.0 | 23.5 | 26.5 | 29.5 | 38.0 |\n| 中雨 | 12.0 | 20.0 | 25.5 | 34.5 | 52.0 |\n| 大雨 | 10.0 | 14.0 | 18.0 | 23.5 | 31.0 |\n| 暴雨 | 7.0 | 11.0 | 15.5 | 26.0 | 40.0 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/dd24205979453011d486517672fdd9a3.png", "anno": "### One-way ANOVA on Brand\n\n| | 价格-最小值 | 价格-Q1 | 价格-中位数 | 价格-Q3 | 价格-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 戴尔 | 4250 | 4400 | 6500 | 8500 | 10150 |\n| 华硕 | 4250 | 4300 | 4650 | 5700 | 6000 |\n| 惠普 | 4400 | 5000 | 5850 | 10500 | 15900 |\n| 联想 | 4250 | 5800 | 7200 | 10150 | 14650 |\n| 荣耀 | 4250 | 4300 | 4400 | 4650 | 4850 |\n| 小米 | 4150 | 4200 | 4350 | 5000 | 6000 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/646234c0f0f899c5bd4cf21fe6aaeb05.png", "anno": "### 100次抽样的标准差箱线图\n\n| 样本量 | 最小值-标准差 | Q1-标准差 | 中位数-标准差 | Q3-标准差 | 最大值-标准差 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | | | | | |\n| 2 | 0 | 1 | 3 | 5.8 | 12 |\n| 3 | 0.5 | 2.7 | 3.6 | 5.6 | 9 |\n| 4 | 1 | 3.4 | 5 | 6 | 9.5 |\n| 5 | 0.5 | 3 | 4.5 | 5.5 | 8.9 |\n| 6 | 1 | 3.7 | 5 | 5.9 | 8.2 |\n| 7 | 1.6 | 3.3 | 4.5 | 5.5 | 8 |\n| 8 | 1.6 | 3.4 | 4.7 | 5.9 | 9 |\n| 9 | 1.9 | 3.5 | 4.7 | 5.9 | 8.7 |\n| 10 | 2 | 3.7 | 5 | 5.5 | 7.1 |\n| 11 | 2.4 | 4 | 5 | 5.6 | 7.5 |\n| 12 | 2.4 | 3.8 | 4.7 | 5.4 | 7 |\n| 13 | 2.4 | 4 | 5.1 | 5.9 | 8.3 |\n| 14 | 2.7 | 3.8 | 4.7 | 5.5 | 7 |\n| 15 | 2.9 | 4.1 | 5 | 5.5 | 7.2 |\n| 16 | 3 | 4 | 5 | 5.6 | 7.2 |\n| 17 | 2.6 | 4.2 | 5 | 5.6 | 6.7 |\n| 18 | 2.4 | 3.8 | 5 | 5.5 | 7.2 |\n| 19 | 3 | 4 | 5 | 5.4 | 6.4 |\n| 20 | 3 | 4 | 4.9 | 5.5 | 6.7 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a62a4df5529d2cb282ec7d912cda66ed.png", "anno": "| position_name | salary-最小值 | salary-Q1 | salary-中位数 | salary-Q3 | salary-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 数据分析师 | 2000 | 12000 | 18000 | 23000 | 37500 |\n| 机器学习工程师 | 3500 | 23000 | 30000 | 37500 | 60000 |\n| 数据挖掘工程师 | 6500 | 23000 | 30000 | 34000 | 48000 |\n| 深度学习工程师 | 3000 | 22000 | 30000 | 35000 | 52500 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/956f61c83860a73a9ae9c8d29cdad853.png", "anno": "| 经验等级 | 薪资(美元)-最小值 | 薪资(美元)-Q1 | 薪资(美元)-中位数 | 薪资(美元)-Q3 | 薪资(美元)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 初级 | 10000 | 40000 | 60000 | 100000 | 200000 |\n| 中级 | 10000 | 60000 | 90000 | 130000 | 240000 |\n| 专家 | 10500 | 120000 | 150000 | 190000 | 305000 |\n| 总监 | 11000 | 150000 | 190000 | 235000 | 360000 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1ac57022e23acb9afc5ff22ef3496cc7.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 上海 | 1.8 | 9.2 | 17.5 | 26.6 | 75.0 |\n| 深圳 | 1.8 | 8.8 | 16.3 | 23.9 | 75.0 |\n| 北京 | 1.8 | 10.4 | 20.0 | 29.7 | 75.0 |\n| 广州 | 1.8 | 7.6 | 13.9 | 21.1 | 44.9 |\n| 杭州 | 2.8 | 8.8 | 15.1 | 23.5 | 60.0 |\n| 成都 | 1.8 | 6.2 | 10.7 | 16.7 | 65.0 |\n| 南京 | 1.8 | 6.2 | 10.7 | 16.3 | 25.1 |\n| 武汉 | 1.8 | 5.2 | 8.8 | 14.4 | 26.3 |\n| 西安 | 2.8 | 7.1 | 11.1 | 13.5 | 34.9 |\n| 厦门 | 3.6 | 5.9 | 9.1 | 13.7 | 25.1 |\n| 长沙 | 2.8 | 6.8 | 9.1 | 11.5 | 15.0 |\n| 苏州 | 4.1 | 10.0 | 15.2 | 19.1 | 30.2 |\n| 天津 | 3.1 | 4.6 | 7.3 | 11.9 | 17.7 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/7615f06674a5f26d828b0735b1ded882.png", "anno": "| stage | salary-最小值 | salary-Q1 | salary-中位数 | salary-Q3 | salary-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| D轮及以上 | 3500 | 22000 | 30000 | 38000 | 60000 |\n| C轮 | 6000 | 20000 | 27500 | 30000 | 45000 |\n| A轮 | 3500 | 19000 | 24000 | 30000 | 47000 |\n| 上市公司 | 2000 | 20000 | 27500 | 35000 | 55000 |\n| 不需要融资 | 4000 | 17500 | 23000 | 30000 | 45000 |\n| B轮 | 5000 | 18000 | 27500 | 33500 | 52500 |\n| 未融资 | 4000 | 16000 | 23000 | 27000 | 44000 |\n| 天使轮 | 4500 | 15000 | 20000 | 30000 | 45000 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/db72b819c40dd9ed38cb1f4efd3ce507.png", "anno": "### 作物类别的产量分布\n\n| 作物种类 | 产量（千克/公顷）-最小值 | 产量（千克/公顷）-Q1 | 产量（千克/公顷）-中位数 | 产量（千克/公顷）-Q3 | 产量（千克/公顷）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Wheat | 2030 | 3150 | 3970 | 5070 | 5880 |\n| Soybean | 2020 | 3310 | 4380 | 5250 | 6000 |\n| Maize | 2000 | 2900 | 3970 | 5160 | 5940 |\n| Cotton | 2050 | 2800 | 3780 | 4980 | 5980 |\n| Rice | 2060 | 2820 | 3920 | 4820 | 5940 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/bb9a8ce9354ff94d39380274c0610940.png", "anno": "### 两因素两水平重复测量方差分析\n\n| | hp-最小值 | hp-Q1 | hp-中位数 | hp-Q3 | hp-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 处理组.x1 | 116 | 122 | 125 | 130 | 138 |\n| 对照组.x1 | 114 | 118 | 124 | 132 | 134 |\n| 处理组.x2 | 98 | 102 | 109 | 116 | 126 |\n| 对照组.x2 | 116 | 118 | 123 | 124 | 132 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/f628e29050dd21453934b6a63d891e47.png", "anno": "### 装修时间箱线图\n\n| 装修时间 | 对数房价-最小值 | 对数房价-Q1 | 对数房价-中位数 | 对数房价-Q3 | 对数房价-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1997 | | | 6.95 | | |\n| 2002 | 6.15 | 6.64 | 6.95 | 7.20 | 7.50 |\n| 2003 | 6.60 | 7.05 | 7.30 | 7.50 | 7.90 |\n| 2005 | 6.55 | 7.15 | 7.35 | 7.55 | 7.88 |\n| 2006 | 6.28 | 6.68 | 7.15 | 7.35 | 8.12 |\n| 2007 | 6.20 | 7.00 | 7.25 | 7.60 | 8.25 |\n| 2008 | 6.15 | 6.90 | 7.25 | 7.55 | 8.45 |\n| 2009 | 6.24 | 6.90 | 7.20 | 7.50 | 8.05 |\n| 2010 | 6.35 | 7.05 | 7.40 | 7.55 | 8.44 |\n| 2011 | 6.50 | 6.85 | 7.05 | 7.50 | 8.35 |\n| 2012 | 6.20 | 6.78 | 7.15 | 7.55 | 8.41 |\n| 2013 | 5.95 | 6.85 | 7.35 | 7.71 | 8.36 |\n| 2014 | 5.82 | 6.92 | 7.28 | 7.70 | 8.57 |\n| 2015 | 5.79 | 6.48 | 7.00 | 7.58 | 8.32 |\n| 2016 | 6.02 | 6.98 | 7.48 | 7.90 | 8.84 |\n| 2017 | 7.10 | 7.25 | 7.40 | 7.85 | 8.00 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/8a39ec275d0fe440d76acdf6eaa85c3f.png", "anno": "| city | salary-最小值 | salary-Q1 | salary-中位数 | salary-Q3 | salary-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 成都 | 7000 | 13000 | 18000 | 23000 | 30000 |\n| 北京 | 2500 | 23000 | 30000 | 38000 | 60000 |\n| 广州 | 3000 | 17000 | 23000 | 32000 | 53000 |\n| 上海 | 7000 | 20000 | 25000 | 30000 | 45000 |\n| 深圳 | 7500 | 21000 | 27000 | 30000 | 45000 |\n| 杭州 | 3000 | 18000 | 25000 | 30000 | 45000 |\n| 其他 | 3100 | 13000 | 15000 | 23000 | 40000 |\n| 南京 | 3000 | 14000 | 20000 | 25000 | 38000 |\n| 武汉 | 5000 | 11000 | 17000 | 22000 | 28000 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1e265f54f1818b50aeb573c797c26324.png", "anno": "### 两组RA患者治疗前后LRP-6水平比较\n#### 治疗前\n\n| 组别 | LRP-6 (ng/mL)-最小值 | LRP-6 (ng/mL)-Q1 | LRP-6 (ng/mL)-中位数 | LRP-6 (ng/mL)-Q3 | LRP-6 (ng/mL)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 对照组 | 3.8 | 4.7 | 5.9 | 10.8 | 18.0 |\n| 艾灸组 | 3.7 | 5.0 | 6.0 | 9.9 | 16.9 |\n\n#### 治疗后\n\n| 组别 | LRP-6 (ng/mL)-最小值 | LRP-6 (ng/mL)-Q1 | LRP-6 (ng/mL)-中位数 | LRP-6 (ng/mL)-Q3 | LRP-6 (ng/mL)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 对照组 | 0.3 | 4.4 | 5.2 | 6.8 | 9.6 |\n| 艾灸组 | 3.9 | 4.2 | 5.96 | 8.3 | 14.0 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/71dc6bdbae077cd990728e5f6f0d42c3.png", "anno": "### （a）\n\n| 职业类型 | $ OG_{P} $-最小值 | $ OG_{P} $-Q1 | $ OG_{P} $-中位数 | $ OG_{P} $-Q3 | $ OG_{P} $-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 技能型 | 0.905 | 0.995 | 1.038 | 1.129 | 1.236 |\n| 经管型 | 0.824 | 0.917 | 0.992 | 1.124 | 1.165 |\n| 社会型 | 0.856 | 0.874 | 0.987 | 1.037 | 1.139 |\n| 事务型 | 1.051 | 1.051 | 1.088 | 1.100 | 1.110 |\n| 研究型 | 0.893 | 0.905 | 0.971 | 1.035 | 1.069 |\n| 艺术型 | 0.848 | 1.055 | 1.098 | 1.202 | 1.321 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/7bddd05eae0f39357a7f238be96b86ed.png", "anno": "### 各班级成绩箱线图\n\n| 班级 | 分数-最小值 | 分数-Q1 | 分数-中位数 | 分数-Q3 | 分数-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 2班 | 319 | 389 | 428 | 456 | 480 |\n| 1班 | 325 | 403 | 434 | 472 | 575 |\n| 6班 | 265 | 340 | 380 | 425 | 528 |\n| 4班 | 298 | 349 | 380 | 400 | 458 |\n| 3班 | 220 | 320 | 352 | 391 | 498 |\n| 9班 | 227 | 289 | 319 | 340 | 378 |\n| 8班 | 204 | 280 | 310 | 350 | 435 |\n| 7班 | 235 | 293 | 340 | 368 | 428 |\n| 5班 | 252 | 300 | 314 | 332 | 374 |\n| 10班 | 204 | 290 | 320 | 362 | 405 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/2fe6c6fb2662084901c1b622f2d98e39.png", "anno": "### 员工能力综合分析图\n\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 技术能力 | 4 | 4.5 | 7 | 8 | 8 |\n| 学习能力 | 5 | 6 | 7 | 7.4 | 8 |\n| 团队协作 | 4 | 7 | 6 | 9 |\n| 纪律性 | 4 | 7 | 6 | 9 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/31ba05f1ff6debf2888828d13f8cca54.png", "anno": "| 类别 | 价格(元)-最小值 | 价格(元)-Q1 | 价格(元)-中位数 | 价格(元)-Q3) | 价格(元)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 跑步机 | 0 | 28000 | 430000 | 970000 | 1605000 |\n| 可穿戴设备 | 28000 | 305000 | 583000 | 1028000 | 1622000 |\n| 图像传感器 | 0 | 189000 | | 494000 | 561000 |\n| 压力传感器 | 83300 | 166700 | 316700 | 561000 | 639000 |\n| 惯性传感器 | 0 | 111000 | 222000 | 422000 | 472000 |\n| 运动捕捉系统 | 166700 | 472000 | 561000 | 1944400 | 4000000 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/56316a8fbe969d642f509981abb9946a.png", "anno": "### “原始”气味评分\n\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 阳性对照 | 0 | 4.8 | 7.0 | 8.0 | 9.0 |\n| 女性得分 | 5.0 | 6.0 | 7.0 | 8.0 | 9.0 |\n| 男性得分 | 2.5 | 4.0 | 5.0 | 7.0 | 9.0 |\n| 阴性对照 | -1.0 | 1.8 | 4.0 | 5.3 | 8.0 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/947e498233836be3df5e2bdea0e70f58.png", "anno": "| | log(salary)-最小值 | log(salary)-Q1 | log(salary)-中位数 | log(salary)-Q3 | log(salary)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 非营利组织 | 1.63 | 2.16 | 2.45 | 2.74 | 3.05 |\n| 政府事业单位 | 1.85 | 2.12 | 2.39 | 2.90 | 3.75 |\n| 外资 | 1.10 | 2.12 | 2.42 | 2.90 | 4.00 |\n| 民营企业 | 1.10 | 2.12 | 2.42 | 2.88 | 3.98 |\n| 上市公司 | 1.30 | 2.18 | 2.50 | 2.88 | 3.82 |\n| 国企 | 1.30 | 2.20 | 2.52 | 2.90 | 3.92 |\n| 合资 | 1.40 | 2.12 | 2.50 | 3.01 | 4.32 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1e7c08fabf4c82325af023713e306921.png", "anno": "| 评分_g | 购买人数-最小值 | 购买人数-Q1 | 购买人数-中位数 | 购买人数-Q3 | 购买人数-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 小于4分 | 1.6 | 2.5 | 3.4 | 3.7 | 4.3 |\n| 4-4.5分 | 0.7 | 3.9 | 5.5 | 7 | 9.8 |\n| 4.5-5分 | 0 | 3.5 | 4.8 | 6.6 | 10.3 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a4d12e051d2d311efc81c96f80b74733.png", "anno": "### 高低呈现水平-凝聚型社会资本箱线图\n\n| 自我呈现水平 | 凝聚型社会资本-最小值 | 凝聚型社会资本-Q1 | 凝聚型社会资本-中位数 | 凝聚型社会资本-Q3 | 凝聚型社会资本-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 低 | 2.4 | 3.0 | 3.2 | 3.6 | 4.4 |\n| 高 | 2.4 | 3.2 | 3.6 | 4.0 | 4.8 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/395213afa01bb8f025072451caaa6994.png", "anno": "### 酒店房间类型箱线图\n\n| | 对数房价-最小值 | 对数房价-Q1 | 对数房价-中位数 | 对数房价-Q3 | 对数房价-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 0 | 5.78 | 6.55 | 6.92 | 7.22 | 8.22 |\n| 1 | 6.11 | 6.90 | 7.15 | 7.52 | 8.20 |\n| 2 | 6.55 | 7.35 | 7.65 | 7.96 | 8.83 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/6c297c2a509bdeb2b0b7fdef6b1b0df3.png", "anno": "| | 房价-最小值 | 房价-Q1 | 房价-中位数 | 房价-Q3 | 房价-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 朝阳 | 2.98 | 4.10 | 5.15 | 6.20 | 9.10 |\n| 东城 | 3.40 | 6.00 | 7.00 | 8.00 | 10.25 |\n| 丰台 | 2.45 | 3.75 | 4.25 | 4.70 | 6.05 |\n| 海淀 | 3.30 | 5.60 | 6.61 | 7.81 | 10.80 |\n| 石景山 | 1.90 | 3.41 | 3.90 | 4.99 | 7.21 |\n| 西城 | 4.88 | 7.00 | 8.30 | 9.95 | 11.60 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/33c626afd933cf5182914a5f3c74b4ba.png", "anno": "### 箱线图(Boxplot)\n\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 群组一 | 0.79 | 0.87 | 0.91 | 0.935 | 1.02 |\n| 群组二 | 0.906 | 1.02 | 1.06 | 1.13 | 1.19 |\n| 群组三 | 0.71 | 0.86 | 0.943 | 0.97 | 1.095 |\n| 群组四 | 0.71 | 0.8 | 0.9 | 0.976 | 1.06 |\n| 群组五 | 0.935 | 1.01 | 1.04 | 1.07 | 1.13 |\n| 群组六 | 0.9 | 0.98 | 1.01 | 1.06 | 1.09 |\n| 群组七 | 0.84 | 0.9 | 0.945 | 0.985 | 1.055 |\n| 群组八 | 0.83 | 0.906 | 0.935 | 0.976 | 1.04 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0ba66e6c0c6543c9ce883c7cfd37f1ae.png", "anno": "#### 身高\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 五年级 | 138 | 148 | 151.5 | 155 | 163 |\n| 六年级 | 143 | 153 | 159 | 165 | 173 |\n\n#### 体重\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 五年级 | 29 | 38 | 45 | 52 | 65 |\n| 六年级 | 35 | 42.8 | 47 | 53.8 | 60.2 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/c84bcbc52f83bac4991b042153471c36.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 低楼层 | 5800 | 15000 | 18000 | 21400 | 30600 |\n| 中楼层 | 4000 | 14000 | 17500 | 21400 | 31800 |\n| 高楼层 | 5700 | 14000 | 17000 | 20000 | 29000 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/2cc147d352a9f380bf17fd0c15ede66f.png", "anno": "| 缓冲距离/km | 地表温度/°C-最小值 | 地表温度/°C-Q1 | 地表温度/°C-中位数 | 地表温度-/°CQ3 | 地表温度/°C-最大值 |地表温度/°C-均值 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 34.4 | 38.0 | 39.6 | 41.6 | 44.8 | 39.7 |\n| 2 | 35.2 | 36.2 | 38.2 | 39.4 | 41.4 | 38.0 |\n| 3 | 34.6 | 36.5 | 37.7 | 38.4 | 40.0 | 37.4 |\n| 4 | 34.5 | 35.2 | 37.0 | 38.2 | 38.5 | 36.6 |\n| 5 | 34.0 | 35.1 | 36.4 | 36.8 | 38.4 | 36.0 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b69ae0016af7d9b9a739c55ab8686fca.png", "anno": "| b NH₃-N | NH₃-N/(mg·L⁻¹)-最小值 | NH₃-N/(mg·L⁻¹)-Q1 | NH₃-N/(mg·L⁻¹)-中位数 | NH₃-N/(mg·L⁻¹)-Q3 | NH₃-N/(mg·L⁻¹)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 小雨 | 9.8 | 16.0 | 20.3 | 24.0 | 29.8 |\n| 中雨 | 3.3 | 9.4 | 13.3 | 21.3 | 32.0 |\n| 大雨 | 0.2 | 4.2 | 8.6 | 16.3 | 31.3 |\n| 暴雨 | 2.4 | 4.5 | 7.9 | 16.0 | 30.5 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/600c4ea7a47a4af3c2db1749a8d7656f.png", "anno": "| | 精确度/%-最小值 | 精确度/%-Q1 | 精确度/%-中位数 | 精确度/%-Q3 | 精确度/%-最大值 | 精确度/%-均值 |\n| --- | --- | --- | --- | --- | --- |\n| 实验一 | 95.8 | 96.4 | 96.7 | 97.7 | 98.3 | 96.95 |\n| 实验二 | 96.2 | 96.9 | 97.3 | 98.3 | 98.9 | 97.45 |\n| 实验三 | 97.9 | 98.3 | 98.5 | 98.8 | 99.2 | 98.55 |\n| 实验四 | 96.2 | 97.3 | 97.8 | 98.2 | 98.5 | 97.65 |\n| 实验五 | 96.58 | 97.7 | 98.7 | 99.0 | 99.2 | 98.25 |\n| 实验六 | 96.6 | 97.4 | 97.6 | 98.9 | 99.7 | 98.0 |\n| 实验七 | 92.8 | 93.5 | 93.8 | 94.2| 94.6 | 93.85 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1bc56126c99a91fe10bf0ff57dbc47c6.png", "anno": "| industry | salary-最小值 | salary-Q1 | salary-中位数 | salary-Q3 | salary-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 020 | 7500 | 22000 | 30000 | 38000 | 52000 |\n| 移动互联网 | 2500 | 20000 | 28000 | 32000 | 50000 |\n| 其他 | 2000 | 16000 | 22000 | 30000 | 50000 |\n| 金融 | 4000 | 20000 | 27800 | 35000 | 50000 |\n| 电子商务 | 7000 | 20000 | 25000 | 30000 | 45000 |\n| 企业服务 | 4400 | 20000 | 28000 | 32000 | 48000 |\n| 数据服务 | 4200 | 16000 | 22000 | 29500 | 48000 |\n| 教育 | 12000 | 22000 | 25000 | 30000 | 38000 |\n| 信息安全 | 7300 | 18000 | 21000 | 28000 | 30000 |\n| 医疗健康 | 5000 | 24500 | 30000 | 38000 | 52000 |\n| 硬件 | 2000 | 15000 | 22000 | 30000 | 40000 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/c607c04742a62722567b8c8d30791125.png", "anno": "| d TP | TP/(mg·$ L^{-1} $)-最小值 | TP/(mg·$ L^{-1} $)-Q1 | TP/(mg·$ L^{-1} $)-中位数 | TP/(mg·$ L^{-1} $)-Q3 | TP/(mg·$ L^{-1} $)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 小雨 | 0.55 | 2.08 | 2.58 | 3.32 | 3.95 |\n| 中雨 | 1.08 | 1.50 | 1.94 | 2.52 | 4.03 |\n| 大雨 | 0.95 | 1.11 | 1.30 | 1.94 | 2.85 |\n| 暴雨 | 1.20 | 1.45 | 1.88 | 2.30 | 3.40 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/d0b8bae34c22d8ff48940e4fa299bcc1.png", "anno": "#### A\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 广州 | 24.5 | 26.1 | 27.5 | 30.2 | 35.8 |\n| 武汉 | 25.5 | 28.9 | 31.7 | 33.9 | 37.2 |\n| 北京 | 19.7 | 24.0 | 26.5 | 29.7 | 36.3 |\n\n#### B\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 广州 | 24.0 | 28.5 | 30.4 | 33.6 | 38.1 |\n| 武汉 | 22.3 | 26.9 | 29.0 | 32.4 | 37.0 |\n| 北京 | 20.4 | 25.2 | 27.9 | 30.7 | 37.0 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/49927295a1f07c2b0688a793967ca5eb.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 数据A | 26 | 50 | 60 | 66 | 90 |\n| 数据B | 14 | 50 | 61 | 74 | 110 |\n| 数据A-2 | 26 | 50 | 60 | 66 | 90 |\n| 数据B-2 | 14 | 50 | 61 | 74 | 110 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b12ddb6d10ad858cb83850c29ab6010b.png", "anno": "| a COD | COD/($ \\text{mg}\\cdot\\text{L}^{-1} $)-最小值 | COD/($ \\text{mg}\\cdot\\text{L}^{-1} $)-Q1 | COD/($ \\text{mg}\\cdot\\text{L}^{-1} $)-中位数 | COD/($ \\text{mg}\\cdot\\text{L}^{-1} $)-Q3 | COD/($ \\text{mg}\\cdot\\text{L}^{-1} $)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 小雨 | 108 | 170 | 240 | 295 | 465 |\n| 中雨 | 50 | 140 | 175 | 228 | 308 |\n| 大雨 | 60 | 80 | 108 | 138 | 220 |\n| 暴雨 | 45 | 70 | 90 | 140 | 233 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/6ed347d60cf6fc44a0b8857c9866e9bb.png", "anno": "### (b)\n\n| 职业类型 | $ OG_{d} $-最小值 | $ OG_{d} $-Q1 | $ OG_{d} $-中位数 | $ OG_{d} $-Q3 | $ OG_{d} $-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 技能型 | 0.48 | 1.00 | 1.58 | 1.80 | 2.29 |\n| 经管型 | 0.50 | 0.80 | 1.20 | 2.53 | 2.87 |\n| 社会型 | 0.60 | 0.82 | 1.02 | 1.40 | 1.40 |\n| 事务型 | 1.20 | 1.96 | 3.30 | 4.52 | 4.81 |\n| 研究型 | 0.33 | 0.68 | 1.07 | 1.48 | 1.60 |\n| 艺术型 | 0.40 | 1.50 | 2.17 | 2.97 | 3.14 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/7fa595ada6f3384a951f6c1245f8c362.png", "anno": "### 治疗前后CAT评分比较\n\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 治疗前 | 1.5 | 5.5 | 9.1 | 13.5 | 25.6 |\n| 治疗后 | 1.5 | 3.6 | 5.7 | 8.5 | 13.5 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3dc7dff8fd1234d9fea356f0a4013c09.png", "anno": "### 经验与工资水平\n\n| | salary-最小值 | salary-Q1 | salary-中位数 | salary-Q3 | salary-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1-3年 | 4500 | 15500 | 22500 | 30000 | 52500 |\n| 5-10年 | 13000 | 29000 | 33000 | 43000 | 60000 |\n| 3-5年 | 2000 | 22500 | 30000 | 37500 | 60000 |\n| 不限 | 2500 | 14000 | 22500 | 30000 | 53000 |\n| 应届毕业生 | 1900 | 6000 | 12000 | 17500 | 30000 |\n| 1年以下 | 4000 | 7000 | 12500 | 24500 | 48000 |\n| 10年以上 | 33000 | 36500 | 40000 | 44000 | 48000 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1c38c2379b8ebf4ecda0b99df360ea9f.png", "anno": "| 治疗方式 | 体重变化 (lbs)-最小值 | 体重变化 (lbs)-Q1 | 体重变化 (lbs)-中位数 | 体重变化 (lbs)-Q3 | 体重变化 (lbs)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| FT | -5.4 | 4.0 | 9.0 | 11.5 | 21.7 |\n| Cont | -12.3 | -7.1 | -0.4 | 3.7 | 16.0 |\n| CBT | -7.7 | -0.7 | 1.5 | 4.0 | 6.0 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a01ddabbd4b939a4d28a2ad612434578.png", "anno": "| | Range-最小值 | Range-Q1 | Range-中位数 | Range-Q3 | Range-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 组别1 | 2.2 | 2.9 | 3.2 | 3.6 | 4.0 |\n| 组别2 | 1.6 | 2.2 | 2.6 | 3.1 | 4.1 |\n| 组别3 | 3.2 | 3.8 | 4.2 | 4.6 | 5.2 |\n| 组别4 | 1.1 | 1.8 | 2.0 | 2.4 | 2.8 |\n| 组别5 | 2.2 | 2.7 | 3.0 | 3.4 | 4.15 |\n| 组别6 | 2.3 | 2.7 | 3.1 | 3.6 | 4.1 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/4c64b5ebf4fbc109dc674dd31080366c.png", "anno": "### 企业规模与工资水平\n\n| 企业规模 | salary-最小值 | salary-Q1 | salary-中位数 | salary-Q3 | salary-最大值 | \n| --- | --- | --- | --- | --- | --- | \n| 2000人以上 | 19000 | 22500 | 30000 | 37900 | 60000 | \n| 500-2000人 | 33000 | 19500 | 26000 | 31000 | 47900 | \n| 50-150人 | 33000 | 18000 | 22500 | 30000 | 47300 | \n| 150-500人 | 39000 | 176000 | 25000 | 30000 | 47900 | \n| 15-50人 | 32000 | 152000 | 22500 | 30000 | 45000 | \n| 少于15人 | 49000 | 20000 | 26000 | 37800 | 45000 | ", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/515faf52a49dd8b57b154779a67e25c2.png", "anno": "| | 数值-最小值 | 数值-Q1 | 数值-中位数 | 数值-Q3 | 数值-最大值 | 类型 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 组1 | 0.29 | 0.49 | 0.62 | 0.83 | 0.84 | 类型A |\n| 组1 | 0.0 | 0.04 | 0.37 | 0.97 | 0.98 | 类型B |\n| 组1 | 0.2 | 0.23 | 0.53 | 0.64 | 0.87 | 类型C |\n| 组2 | 0.24 | 0.32 | 0.48 | 0.69 | 0.96 | 类型A |\n| 组2 | 0.3 | 0.46 | 0.45 | 0.90 | 0.94 | 类型B |\n| 组2 | 0.19 | 0.25 | 0.64 | 0.83 | 0.95 | 类型C |\n| 组3 | 0.14 | 0.36 | 0.54 | 0.87 | 1.0 | 类型A |\n| 组3 | 0.06 | 0.16 | 0.33 | 0.58 | 0.84 | 类型B |\n| 组3 | 0.21 | 0.26 | 0.34 | 0.47 | 0.66 | 类型C |\n| 组4 | 0.22 | 0.51 | 0.71 | 0.72 | 0.79 | 类型A |\n| 组4 | 0.05 | 0.41 | 0.52 | 0.66 | 0.82 | 类型B |\n| 组4 | 0.25 | 0.51 | 0.6 | 0.8 | 0.84 | 类型C |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/024194299bf39a6998183dacb886f361.png", "anno": "### 作物类别的产量分布\n\n| 作物类别 | 产量（千克/公顷）-最小值 | 产量（千克/公顷）-Q1 | 产量（千克/公顷）-中位数 | 产量（千克/公顷）-Q3 | 产量（千克/公顷）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Wheat | 2050 | 3160 | 3990 | 5080 | 5900 |\n| Soybean | 2020 | 3320 | 4390 | 5270 | 6000 |\n| Maize | 2010 | 2900 | 3980 | 5180 | 5950 |\n| Cotton | 2060 | 2810 | 3780 | 5000 | 6000 |\n| Rice | 2080 | 2850 | 4000 | 4840 | 5950 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/f6cf3771f50eed5be086927704a11b9b.png", "anno": "### 两因素两水平重复测量方差分析\n\n| group : time | hp-最小值 | hp-Q1 | hp-中位数 | hp-Q3 | hp-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 处理组.x1 | 116 | 122 | 125 | 130 | 138 |\n| 对照组.x1 | 114 | 118 | 124 | 132 | 134 |\n| 处理组.x2 | 98 | 102 | 109 | 116 | 126 |\n| 对照组.x2 | 116 | 118 | 123 | 124 | 132 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/adb6aef7dd22191f961cd9fcb0cffc01.png", "anno": "| | 人才培养-最小值 | 人才培养-Q1 | 人才培养-中位数 | 人才培养-Q3 | 人才培养-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 综合 | 110 | 136 | 162 | 229 | 311 |\n| 理工 | 124 | 143 | 158 | 186 | 230 |\n| 师范 | 120 | 132 | 155 | 165 | 187 |\n| 农业 | 117 | 140 | 147 | 167 | 175 |\n| 林业 | 144 | 144 | 144 | 144 | 144 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/513ccc37795798f2d913a325326b5eb0.png", "anno": "| 實驗冧巴 | 光速（公里 / 秒减咗 299，000）-最小值 | 光速（公里 / 秒减咗 299，000）-Q1 | 光速（公里 / 秒减咗 299，000）-中位数 | 光速（公里 / 秒减咗 299，000）-Q3 | 光速（公里 / 秒减咗 299，000）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 740 | 850 | 940 | 980 | 1070 |\n| 2 | 760 | 800 | 845 | 890 | 960 |\n| 3 | 840 | 840 | 855 | 880 | 910 |\n| 4 | 720 | 765 | 815 | 870 | 920 |\n| 5 | 740 | 805 | 810 | 870 | 950 |\n\n| 真正嘅速度 | |\n| --- | --- |\n| 1 | 795 |\n| 2 | 795 |\n| 3 | 795 |\n| 4 | 795 |\n| 5 | 795 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/fc3ce2eba1b1f427ae3deec91a32bbd0.png", "anno": "| 组别 | Occludin基因表达量(C)-最小值 | Occludin基因表达量(C)-Q1 | Occludin基因表达量(C)-中位数 | Occludin基因表达量(C)-Q3 | Occludin基因表达量(C)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 正常组 | 0.98 | 1.17 | 1.42 | 1.66 | 1.81 |\n| CTX | 0.55 | 0.66 | 0.90 | 1.20 | 1.30 |\n| NFC | 0.95 | 0.98 | 1.13 | 1.50 | 1.54 |\n| FC | 1.05 | 1.05 | 1.17 | 1.65 | 2.00 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1cb0d94ca5d0d7b4c0211fad575d73ec.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 数据A | 26 | 50 | 60 | 66 | 90 |\n| 数据B | 14 | 50 | 61 | 74 | 110 |\n| 数据A-2 | 26 | 50 | 60 | 66 | 90 |\n| 数据B-2 | 14 | 50 | 61 | 74 | 110 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/2c11c3097e43832c844a840425ad96e9.png", "anno": "### 学历与工资水平\n\n| 学历 | salary-最小值 | salary-Q1 | salary-中位数 | salary-Q3 | salary-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 本科 | 2500 | 19000 | 25000 | 30000 | 45000 |\n| 不限 | 6000 | 18000 | 23000 | 28000 | 40000 |\n| 大专 | 5000 | 8000 | 12000 | 16000 | 23000 |\n| 硕士 | 1800 | 23000 | 30000 | 38000 | 60000 |\n| 博士 | 23000 | 30000 | 38000 | 47000 | 53000 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b997ebfccfbffd77d8c79d8154a4dc37.png", "anno": "### 不同抢到顺序的金额分布箱线图（100元10人）\n| 抢到顺序 | 金额（元）-最小值 | 金额（元）-Q1 | 金额（元）-中位数 | 金额（元）-Q3 | 金额（元）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 第1人 | 1.0 | 6.5 | 11.0 | 14.8 | 20.0 |\n| 第2人 | 0.9 | 6.6 | 10.0 | 15.0 | 20.1 |\n| 第3人 | 0.8 | 5.1 | 9.0 | 13.5 | 21.2 |\n| 第4人 | 0.9 | 5.4 | 10.0 | 15.2 | 22.0 |\n| 第5人 | 0.8 | 3.5 | 8.5 | 14.5 | 24.3 |\n| 第6人 | 0.9 | 6.0 | 10.4 | 13.8 | 21.0 |\n| 第7人 | 0.7 | 5.5 | 8.7 | 13.6 | 24.2 |\n| 第8人 | 0.5 | 3.8 | 9.0 | 15.1 | 28.1 |\n| 第9人 | 0.4 | 3.3 | 9.0 | 14.3 | 29.5 |\n| 第10人 | 0.1 | 3.3 | 8.5 | 14.5 | 30.6 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a3ab61424aec89dc8c7fa6d986bc27b4.png", "anno": "| 组 | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 对照组 | 31 | 32 | 34 | 37 | 39 |\n| 试验组 | 32 | 36 | 39.5 | 42 | 46 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/9468eab1cce92041cd803afe9b35ca3a.png", "anno": "### 经验与工资水平\n\n| | salary-最小值 | salary-Q1 | salary-中位数 | salary-Q3 | salary-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1-3年 | 4750 | 15200 | 22500 | 30000 | 52700 |\n| 5-10年 | 12700 | 29000 | 32600 | 43000 | 60000 |\n| 3-5年 | 1500 | 22500 | 30000 | 37700 | 60000 |\n| 不限 | 2500 | 14000 | 22500 | 30000 | 53000 |\n| 应届毕业生 | 1500 | 6000 | 12000 | 17900 | 30000 |\n| 1年以下 | 3600 | 6750 | 12800 | 24400 | 47800 |\n| 10年以上 | 32600 | 36400 | 40000 | 44000 | 47800 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/af52e8f378e6cedfaecf0218e2313aea.png", "anno": "| | Range-最小值 | Range-Q1 | Range-中位数 | Range-Q3 | Range-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| CANSHU1 | 1 | 2 | 3.5 | 5 | 6 |\n| CANSHU2 | 1 | 2 | 3.5 | 5 | 6 |\n| CANSHU3 | 1 | 2 | 3.5 | 5 | 6 |\n| CANSHU4 | 1 | 2 | 3.5 | 5 | 6 |\n| CANSHU5 | 1 | 2 | 3.5 | 5 | 6 |\n| CANSHU6 | 1 | 2 | 3.5 | 5 | 6 |\n| CANSHU7 | 1 | 2 | 3.5 | 5 | 6 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/35c768ea598ea4c2b7f891098e1a5670.png", "anno": "| | Values-最小值 | Values-Q1 | Values-中位数 | Values-Q3 | Values-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Group1 | 6.1 | 8.9 | 9.8 | 11.4 | 14.4 |\n| Group2 | 8.9 | 11.2 | 12.3 | 13.3 | 16.1 |\n| Group3 | 6.9 | 9.0 | 10.4 | 11.6 | 15.3 |\n| Group4 | 7.8 | 9.6 | 10.3 | 11.6 | 14.8 |\n| Group5 | 9.7 | 11.1 | 12.1 | 13.6 | 16.8 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/478df164ee2e6269d865372e74c382cd.png", "anno": "| Order2 | Brain Proportion(%)-最小值 | Brain Proportion(%)-Q1 | Brain Proportion(%)-Q2 | Brain Proportion(%)-Q3 | Brain Proportion(%)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Artio | 50.5 | 63.8 | 69.0 | 75.0 | 87.5 |\n| Cam | 44.7 | 57.0 | 60.5 | 68.0 | 81.3 |\n| Prim | 8.3 | 15.7 | 20.5 | 24.4 | 31.3 |\n| Rod | 33.8 | 43.8 | 47.8 | 54.5 | 71.3 |\n| Others | 0.0 | 3.3 | 12.5 | 21.3 | 36.0 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9edfd1d43e93de688912ebdf6a335390.png", "anno": "### Boxplots with Scatter Points - how2matplotlib.com\n\n| Date Sets | Values-Min | Values-Q1 | Values-Median | Values-Q3 | Values-Max |\n| --- | --- | --- | --- | --- | --- |\n| Date 1 | -2.2 | -0.8 | -0.1 | 0.4 | 1.9 |\n| Date 2 | -1.0 | 0.4 | 1.0 | 1.6 | 1.7 |\n| Date 3 | -2.8 | -1.5 | -0.8 | -0.2 | 1.5 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a748719ce4079b718e8913ca36fa608c.png", "anno": "### Boxplot\n\n| Sample | Value-最小值 | Value-Q1 | Value-中位数 | Value-Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| A1 | -1.0 | 1.5 | 2.8 | 4.0 | 7.1 |\n| A2 | 0.2 | 2.4 | 3.0 | 3.9 | 7.0 |\n| A3 | -0.5 | 1.8 | 3.1 | 3.9 | 6.9 |\n| A4 | 1.0 | 2.5 | 2.6 | 3.6 | 5.0 |\n| B1 | 0.3 | 2.7 | 5.5 | 7.5 | 11.9 |\n| B2 | 1.0 | 2.9 | 5.1 | 6.6 | 10.3 |\n| B3 | -0.5 | 3.5 | 5.1 | 6.5 | 9.3 |\n| B4 | -2.6 | 2.4 | 4.6 | 6.3 | 11.0 |\n| C1 | 2.1 | 5.6 | 6.8 | 8.3 | 11.6 |\n| C2 | 0.5 | 5.5 | 7.5 | 9.5 | 14.0 |\n| C3 | 2.5 | 5.8 | 7.0 | 8.5 | 11.6 |\n| C4 | -2.0 | 3.0 | 6.5 | 8.6 | 13.8 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/49986ab6064e4519291c727e4b3c66e7.png", "anno": "| Group | values-最小值 | values-Q1 | values-中位数 | values-Q3 | values-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| G1 | 0 | 2 | 4 | 5.7 | 7 |\n| G2 | 5 | 5.5 | 6.1 | 6.8 | 7 |\n| G3 | 2.5 | 2.6 | 3 | 3.6 | 3.7 |\n| G4 | 2 | 3.1 | 3.9 | 5.5 | 6 |\n| G5 | 2.2 | 2.8 | 3.6 | 5 | 6.3 |\n| G6 | 4.3 | 4.3 | 4.5 | 4.6 | 5 |\n| G7 | 1.1 | 2.3 | 4.1 | 5 | 6 |\n| G8 | 1 | 2 | 3.1 | 4.5 | 5.5 |\n| G9 | 1.6 | 2.1 | 3.6 | 4.5 | 5.8 |\n| G10 | 1.2 | 2.7 | 4.7 | 5.7 | 7 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/03e7249337c0510a3d76e5ab1941e916.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Control | 0.915 | 0.940 | 0.975 | 1.009 | 1.025 |\n| Treat | 0.885 | 0.935 | 1.055 | 1.100 | 1.150 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/e832482623dc273a983fc9c40499d4be.png", "anno": "### Distance of bray within and between groups\n\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Health | 0.48 | 0.62 | 0.68 | 0.75 | 0.88 |\n| Patient | 0.36 | 0.50 | 0.56 | 0.65 | 0.82 |\n| Between | 0.49 | 0.66 | 0.72 | 0.78 | 0.90 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/5ebcb90476a5ef2b8b2445108dd2dde0.png", "anno": "### reflection\n\n| | value-最小值 | value-Q1 | value-中位数 | value-Q3 | value-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| agreement | 0.01 | 0.03 | 0.10 | 0.26 | 0.45 |\n| reflection | 0.26 | 0.36 | 0.41 | 0.42 | 0.51 |\n| question variable | 0.05 | 0.21 | 0.31 | 0.40 | 0.68 |\n| normalization/misc | 0.04 | 0.21 | 0.30 | 0.38 | 0.43 |\n| meta | 0.03 | 0.14 | 0.23 | 0.34 | 0.43 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a2c9e9a57917b046f44b424bfc12ba0e.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| SARS-CoV-2 | 1.92 | 2.45 | 2.60 | 2.85 | 3.30 |\n| SARS-CoV-2 Delta | 1.80 | 2.29 | 2.49 | 2.65 | 3.19 |\n| SARS-CoV-2 Beta | 1.69 | 2.20 | 2.38 | 2.60 | 3.08 |\n| SARS-CoV-2 Mu | 1.65 | 2.15 | 2.39 | 2.58 | 3.19 |\n| SARS-CoV-2 Omicron BA.1 | 0.8 | 1.51 | 1.81 | 2.09 | 2.61 |\n| SARS-CoV-2 Omicron BA.2 | 1.29 | 1.79 | 1.95 | 2.18 | 2.69 |\n| Bat CoV BANAL-52 | 1.75 | 2.31 | 2.49 | 2.70 | 3.29 |\n| Pangolin CoV GD-1 | 1.71 | 2.26 | 2.49 | 2.65 | 3.20 |\n| Bat CoV RaTG13 | 1.65 | 2.20 | 2.39 | 2.58 | 3.08 |\n| Pangolin CoV GX-P5L | 1.41 | 1.95 | 2.15 | 2.30 | 2.73 |\n| SARS-CoV-1 | 0.43 | 1.05 | 1.33 | 1.50 | 2.02 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/86d742d07d42aa1eb7fa473ca5bdeb61.png", "anno": "| | DNA Methylation-最小值 | DNA Methylation-Q1 | DNA Methylation-中位数 | DNA Methylation-Q3 | DNA Methylation-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Normal | 0.02 | 0.26 | 0.58 | 0.87 | 0.99 |\n| PM Tissue | 0.07 | 0.18 | 0.48 | 0.64 | 0.97 |\n| PM saliva | 0.16 | 0.36 | 0.56 | 0.78 | 0.98 |\n| Tumor saliva | 0.04 | 0.28 | 0.64 | 0.76 | 0.94 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/70c3b2d1acc814f45b8b3486dc223da4.png", "anno": "### Rectangular box plot\n\n| Three separete samples | Observed values-最小值 | Observed values-Q1 | Observed values-中位数 | Observed values-Q3 | Observed values-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| x | -2.2 | -0.6 | 0 | 0.8 | 2.1 |\n| x2 | -4.6 | -1.3 | 0 | 1.4 | 3.8 |\n| x3 | -6.6 | -1.3 | 0.4 | 2.2 | 6.5 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/bb5be22e4ebfa10f38fdb600b9a05896.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| A | 7 | 11 | 14 | 18.5 | 23 |\n| B | 7 | 12 | 16.5 | 18 | 21 |\n| C | 0 | 1 | 1.5 | 3 | 4 |\n| D | 2 | 3.5 | 5 | 5 | 6 |\n| E | 1 | 2.5 | 3 | 5 | 6 |\n| F | 9 | 12 | 15 | 23 | 26 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/5f5242f126d9d1c24652020bb0476cc6.png", "anno": "| organ | Gene expression-最小值 | Gene expression-Q1 | Gene expression-中位数 | Gene expression-Q3 | Gene expression-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| adipose_tissue | 2.9 | 3.6 | 3.8 | 4.1 | 4.7 |\n| adrenal_gland | 2.3 | 3.1 | 3.6 | 3.7 | 4.4 |\n| blood | 0.5 | 2.4 | 3 | 4.4 | 6.3 |\n| blood_vessel | 2.6 | 3.3 | 3.5 | 3.8 | 4.5 |\n| bone_marrow | 1.5 | 1.7 | 1.9 | 2 | 2.4 |\n| brain | 0.5 | 1.5 | 1.8 | 2.1 | 3.1 |\n| breast | 3.1 | 3.8 | 4.1 | 4.4 | 5.2 |\n| colon | 2.5 | 3.2 | 3.6 | 3.9 | 4.8 |\n| esophagus | 2.3 | 3.1 | 3.6 | 4.1 | 5.3 |\n| fallopian_tube | 3.8 | 4.1 | 4.2 | 4.4 | 4.7 |\n| heart | 1.2 | 2 | 2.4 | 2.7 | 3.6 |\n| kidney | 1 | 2.4 | 2.7 | 3.5 | 4.3 |\n| liver | 2 | 2.5 | 2.8 | 3 | 3.7 |\n| lung | 1.9 | 3.1 | 3.5 | 3.8 | 4.7 |\n| nerve | 3.2 | 3.7 | 3.9 | 4.1 | 4.6 |\n| ovary | 3.4 | 3.9 | 4.2 | 4.6 | 5.1 |\n| pancreas | 1.8 | 2.6 | 2.9 | 3.2 | 3.9 |\n| pituitary_gland | 2 | 2.4 | 2.8 | 3 | 3.7 |\n| prostate | 3.2 | 3.7 | 3.9 | 4 | 4.4 |\n| salivary_gland | 2.6 | 3.5 | 3.9 | 4.2 | 4.8 |\n| skeletal_muscle | 1 | 1.9 | 2.4 | 2.8 | 4 |\n| skin | 3.4 | 4.2 | 4.5 | 4.7 | 5.5 |\n| small_intestine | 2.6 | 3.3 | 3.7 | 4 | 5 |\n| spleen | 3.7 | 4.2 | 4.4 | 4.6 | 4.9 |\n| stomach | 2.2 | 3 | 3.3 | 3.5 | 4.3 |\n| testis | 2.7 | 3.3 | 3.5 | 3.7 | 4.3 |\n| thyroid_gland | 2.9 | 3.5 | 3.7 | 3.9 | 4.5 |\n| urinary_bladder | 3.5 | 3.8 | 4.3 | 4.4 | 4.6 |\n| uterine_cervix | 3.3 | 3.7 | 4.1 | 4.2 | 4.7 |\n| uterus | 3.1 | 3.7 | 4.1 | 4.3 | 5 |\n| vagina | 3.1 | 3.8 | 4 | 4.3 | 4.9 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/17e5593fb2c42c61051bd9b3d1b945d6.png", "anno": "| FACTOR | Range-Min | Range-Q1 | Range-Median | Range-Q3 | Range-Max | Range-Mean |\n| --- | --- | --- | --- | --- | --- | --- |\n| factor1 | 38.6 | 39.5 | 42.8 | 43.7 | 44.6 | 41.8 |\n| factor2 | 38.5 | 40.4 | 44.8 | 49.4 | 52.4 | 45.2 |\n| factor3 | 38.6 | 40.5 | 45.2 | 49.9 | 53.0 | 45.5 |\n| factor4 | 38.7 | 40.45 | 44.4 | 46.4 | 48.95 | 43.6 |\n| factor5 | 38.75 | 41.2 | 46.2 | 48.25 | 51.05 | 45.1 |\n| factor6 | 38.1 | 39.05 | 42.55 | 43.4 | 44.4 | 41.5 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/46770fec4e13aa2ea82f09914d670717.png", "anno": "### unlabelled\n\n| variable | value-最小值 | value-Q1 | value-中位数 | value-Q3 | value-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| agreement | 0.01 | 0.10 | 0.245 | 0.41 | 0.58 |\n| reflection | 0.20 | 0.34 | 0.411 | 0.43 | 0.54 |\n| question | 0.041 | 0.255 | 0.37 | 0.44 | 0.66 |\n| normalization/misc | 0.039 | 0.256 | 0.35 | 0.41 | 0.44 |\n| meta | 0.02 | 0.19 | 0.30 | 0.406 | 0.44 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/c866b56af859eb72d0a9d6a822ed86f4.png", "anno": "### Test组\n#### Risk-low\n\n| Gene | Gene expression-最小值 | Gene expression-Q1 | Gene expression-中位数 | Gene expression-Q3 | Gene expression-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| CXCL9 | 2.9 | 5.3 | 6.5 | 8.1 | 11.9 |\n| CXCR3 | 3.0 | 4.0 | 4.5 | 5.0 | 6.5 |\n| CCR5 | 2.6 | 3.5 | 3.7 | 4.1 | 5.0 |\n| CX3CL1 | 3.0 | 4.8 | 5.4 | 6.1 | 8.1 |\n| CXCL16 | 6.7 | 7.9 | 8.5 | 9.0 | 10.3 |\n| CCL20 | 3.0 | 5.6 | 7.2 | 8.7 | 11.3 |\n| CXCL11 | 3.2 | 3.9 | 4.4 | 5.8 | 8.6 |\n| CXCL10 | 2.8 | 5.6 | 6.8 | 8.3 | 11.3 |\n\n#### Risk-high\n\n| Gene | Gene expression-最小值 | Gene expression-Q1 | Gene expression-中位数 | Gene expression-Q3 | Gene expression-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| CXCL9 | 3.8 | 5.9 | 7.0 | 8.2 | 11.6 |\n| CXCR3 | 2.8 | 3.9 | 4.4 | 4.9 | 6.2 |\n| CCR5 | 2.8 | 3.5 | 3.8 | 4.0 | 4.8 |\n| CX3CL1 | 3.8 | 5.1 | 5.7 | 6.4 | 8.3 |\n| CXCL16 | 6.5 | 8.0 | 8.6 | 9.0 | 10.5 |\n| CCL20 | 3.1 | 6.0 | 7.0 | 8.3 | 11.0 |\n| CXCL11 | 3.2 | 3.9 | 4.4 | 5.2 | 7.1 |\n| CXCL10 | 4.2 | 6.2 | 7.2 | 8.4 | 11.3 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/302527f6e44792205503562d82d71b6b.png", "anno": "### MinIP\n\n| | CNR-Min | CNR-Q1 | CNR-Median | CNR-Q3 | CNR-Max |\n| --- | --- | --- | --- | --- | --- |\n| NT | 137 | 208 | 253 | 261 | 318 |\n| HT | 110 | 148 | 162 | 180 | 200 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/b05dd0d5ca326ce0db781eb7745607b0.png", "anno": "箱线图1(0,0),(0,0)\n| class | value-最小值 | value-Q1 | value-中位数 | value-Q3 | value-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Back | 13.75 | 35.25 | 50.00 | 67.75 | 96.25 |\n| Chest | 27.50 | 40.00 | 50.00 | 67.75 | 93.75 |\n| Facial | 24.50 | 45.00 | 52.60 | 72.75 | 95.00 |\n| Feet | 18.75 | 39.75 | 58.50 | 73.75 | 92.50 |\n| Heada | 12.50 | 25.00 | 42.25 | 63.75 | 86.25 |\n| Hip | 14.00 | 35.26 | 50.00 | 72.50 | 95.00 |\n| Neck | 12.50 | 25.25 | 42.25 | 55.00 | 96.24 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/e159b0e83113b3b76e739254acdcc757.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| A-TM | 200 | 240 | 262 | 270 | 285 |\n| B-TM | 285 | 285 | 285 | 288 | 288 |\n| C-TM | 288 | 290 | 295 | 302 | 305 |\n| O-TM | 305 | 320 | 345 | 370 | 395 |\n| A-Nt | 1 | 13 | 29 | 42 | 86 |\n| B-Nt | 2 | 10 | 15 | 38 | 45 |\n| C-Nt | 6 | 27 | 41 | 73 | 95 |\n| D-Nt | 1 | 8 | 25 | 40 | 75 |\n| A-Ct | 1 | 15 | 29 | 42 | 82 |\n| B-Ct | 15 | 24 | 28 | 35 | 35 |\n| C-Ct | 42 | 57 | 66 | 75 | 100 |\n| D-Ct | 1 | 15 | 21 | 40 | 71 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/665688557472ca7e899755954e4fb318.png", "anno": "#### Control\n\n| Repeat | Value-最小值 | Value-Q1 | Value-中位数 | Value-Q3 | Value-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Repeat_1 | -2.57 | -0.82 | 0 | 0.62 | 2.58 |\n| Repeat_2 | -1.5 | -0.25 | 0.3 | 0.89 | 1.8 |\n| Repeat_3 | -2.33 | -0.95 | 0 | 0.71 | 1.92 |\n\n#### Test\n\n| Repeat | Value-最小值 | Value-Q1 | Value-中位数 | Value-Q3 | Value-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Repeat_1 | -2.18 | -0.65 | -0.16 | 0.6 | 1.75 |\n| Repeat_2 | -2.1 | -0.75 | 0 | 0.65 | 2.45 |\n| Repeat_3 | -2.42 | -0.5 | 0.1 | 1.15 | 2.33 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a3ec94e626bbda2cbb41f9b96c89373e.png", "anno": "| Group | Expression Level-最小值 | Expression Level-Q1 | Expression Level-中位数 | Expression Level-Q3 | Expression Level-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Activated T | 1.75 | 2.25 | 2.85 | 3.78 | 5.42 |\n| HSC | 1.15 | 2.50 | 2.98 | 3.56 | 4.25 |\n| pDC | 1.25 | 2.15 | 2.69 | 3.28 | 4.24 |\n| NK | 5.58 | 1.30 | 2.29 | 2.50 | 3.02 |\n| Naive T | 0.81 | 1.59 | 1.92 | 2.37 | 2.85 |\n| B | 1.4 | 2.0 | 2.38 | 2.70 | 3.25 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a1127b0901fb3e51c22bb3d5f526192a.png", "anno": "| | Range-Min | Range-Q1 | Range-Median | Range-Q3 | Range-Max |\n\n| --- | --- | --- | --- | --- | --- |\n| A | -300 | -90 | -20 | 70 | 280 |\n| B | -280 | -110 | 20 | 95 | 380 |\n| C | -285 | -80 | 35 | 130 | 365 |\n| D | -290 | -55 | 45 | 135 | 360 |\n| E | -305 | -95 | 40 | 140 | 350 |\n| F | -280 | -50 | 35 | 125 | 390 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/f2d955c28c2bc6431a29ac2522cba57d.png", "anno": "| Variable | Value-最小值 | Value-Q1 | Value-中位数 | Value-Q3 | Value-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| A1 | -0.8 | 1.5 | 2.8 | 3.9 | 7.1 |\n| A2 | 0.1 | 2.3 | 3.0 | 3.8 | 6.0 |\n| A3 | -0.4 | 1.8 | 3.1 | 3.8 | 6.9 |\n| B1 | 0.1 | 3.7 | 5.3 | 7.2 | 11.7 |\n| B2 | 0.9 | 4.0 | 5.1 | 6.6 | 10.2 |\n| B3 | -0.4 | 3.5 | 5.2 | 6.4 | 9.2 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2f4953ae15339dbcaea2a75f15558e45.png", "anno": "| Order2 | Brain Preparation (%)-最小值 | Brain Preparation (%)-Q1 | Brain Preparation (%)-中位数 | Brain Preparation (%)-Q3 | Brain Preparation (%)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Artio | 32 | 42 | 49 | 56 | 68 |\n| Carn | 18 | 26 | 30 | 38 | 52 |\n| Prim | 40 | 54 | 60 | 63 | 70 |\n| Rod | 24 | 32 | 38 | 48 | 62 |\n| Others | 25 | 36 | 45 | 53 | 67 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/32ec49ba5e561fdd7eb862dcdefb6e72.png", "anno": "| dose | len-最小值 | len-Q1 | len-中位数 | len-Q3 | len-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 0 | 2.5 | 6 | 10 | 12 | 18 |\n| 1 | 14 | 16 | 19.5 | 24 | 26 |\n| 2 | 19 | 24.2 | 25.5 | 28 | 35 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/6771a6881e63ba02fa3238dd48140fbb.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| sample1 | 20 | 24 | 26 | 32 | 41 |\n| sample2 | 20 | 36 | 40 | 45 | 50 |\n| sample3 | 14 | 28 | 35 | 46 | 55 |\n| sample4 | 21 | 30 | 33 | 49 | 60 |\n| sample5 | 20 | 25 | 32 | 40 | 50 |\n| sample6 | 20 | 31 | 38 | 53 | 70 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7b7141f16c7578c48bad5e9b4908c9b5.png", "anno": "| supp : dose | len-最小值 | len-Q1 | len-中位数 | len-Q3 | len-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| OJ.0.5 | 8.2 | 9.7 | 12.3 | 16.5 | 21.5 |\n| VC.0.5 | 4.2 | 6.0 | 7.2 | 11.1 | 11.5 |\n| OJ.1 | 14.5 | 20.0 | 23.5 | 26.0 | 27.5 |\n| VC.1 | 13.7 | 15.2 | 16.5 | 17.5 | 19.0 |\n| OJ.2 | 22.5 | 24.5 | 26.0 | 27.5 | 31.0 |\n| VC.2 | 18.5 | 23.5 | 26.0 | 29.5 | 34.0 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/0fa6d7ebb67882130bafe477573f9231.png", "anno": "| | count-最小值 | count-Q1 | count-中位数 | count-Q3 | count-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| A | 7 | 11 | 14 | 18.5 | 23 |\n| B | 7 | 12 | 16.5 | 18 | 21 |\n| C | 0 | 1 | 1.5 | 3 | 4 |\n| D | 2 | 3.5 | 5 | 5 | 6 |\n| E | 1 | 2.5 | 3 | 5 | 6 |\n| F | 9 | 12 | 15 | 23 | 26 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/15a35d8edd66e12e49f3cda22fae17c8.png", "anno": "| Order2 | BrainRatio*100-最小值 | BrainRatio*100-Q1 | BrainRatio*100-中位数 | BrainRatio*100-Q3 | BrainRatio*100-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Artiodactyla | 25.2 | 38.0 | 42.8 | 52.0 | 58.0 |\n| Carnivora | 1.8 | 8.4 | 20.0 | 29.0 | 56.2 |\n| Primates | 22.2 | 40.0 | 47.8 | 56.0 | 76.0 |\n| Rodentia | 5.6 | 3.6 | 22.0 | 36.0 | 59.0 |\n| Others | 8.2 | 32.0 | 42.0 | 59.0 | 81.0 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/13f30de5e48c964aaa7017e48a956336.png", "anno": "| species | sepal_length-最小值 | sepal_length-Q1 | sepal_length-中位数 | sepal_length-Q3 | sepal_length-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| setosa | 4.3 | 4.8 | 5.0 | 5.2 | 5.8 |\n| versicolor | 4.9 | 5.6 | 5.9 | 6.3 | 7.0 |\n| virginica | 5.6 | 6.2 | 6.5 | 6.9 | 7.9 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/8a84a3576cf1cec72c940668c404c747.png", "anno": "### Train组\n\n#### Risk: low\n| Gene | Gene expression-最小值 | Gene expression-Q1 | Gene expression-中位数 | Gene expression-Q3 | Gene expression-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| CXCL9 | 3.875 | 5.625 | 6.75 | 8.25 | 11.875 |\n| CXCR3 | 3.125 | 3.95 | 4.375 | 5.125 | 6.50 |\n| CCR5 | 2.825 | 3.275 | 3.625 | 4.05 | 5.25 |\n| CX3CL1 | 3.50 | 4.625 | 5.25 | 6.25 | 8.625 |\n| CXCL16 | 6.675 | 8.075 | 8.625 | 9.10 | 10.00 |\n| CCL20 | 3.70 | 5.925 | 7.20 | 8.70 | 11.975 |\n| CXCL11 | 3.00 | 3.875 | 4.625 | 5.925 | 8.625 |\n| CXCL10 | 4.00 | 6.00 | 7.20 | 8.375 | 11.875 |\n\n#### Risk: high\n| Gene | Gene expression-最小值 | Gene expression-Q1 | Gene expression-中位数 | Gene expression-Q3 | Gene expression-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| CXCL9 | 3.375 | 6.00 | 7.20 | 8.725 | 11.60 |\n| CXCR3 | 3.025 | 4.025 | 4.575 | 5.225 | 6.525 |\n| CCR5 | 2.775 | 3.50 | 3.95 | 4.425 | 5.75 |\n| CX3CL1 | 3.75 | 5.225 | 5.75 | 6.45 | 8.075 |\n| CXCL16 | 7.025 | 8.25 | 8.725 | 9.125 | 10.275 |\n| CCL20 | 3.725 | 5.975 | 7.25 | 8.525 | 11.20 |\n| CXCL11 | 3.00 | 4.00 | 4.625 | 5.75 | 8.075 |\n| CXCL10 | 3.75 | 6.175 | 7.25 | 8.50 | 11.275 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/51fa3aca92caa4801e4f81ca932c5b73.png", "anno": "### Boxplots with Scatter and Mean - how2matplotlib.com\n| Data Sets | Values-最小值 | Values-Q1 | Values-中位数 | Values-Q3 | Values-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | -2.2 | -0.7 | -0.2 | 0.6 | 2.4 |\n| 2 | -1.3 | 0.4 | 1.1 | 1.6 | 3.1 |\n| 3 | -2.4 | -1.4 | -0.8 | -0.3 | 1.3 |\n\n#### Mean\n| Data Sets | Values |\n| --- | --- |\n| 1 | -0.1 |\n| 2 | 1.0 |\n| 3 | -0.9 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7cb1e9a8209e7f7cac20e6d565085913.png", "anno": "### Customized Box Colors - how2matplotlib.com\n| Groups | Values-最小值 | Values-Q1 | Values-中位数 | Values-Q3 | Values-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | -29 | -9 | 2 | 7 | 22 |\n| 2 | -26 | -8.5 | -3 | 5 | 21 |\n| 3 | -23 | -8 | -0.5 | 9 | 30 |\n| 4 | -22.5 | -7 | 2 | 8 | 24 |\n| 5 | -20 | -6 | 1 | 3 | 16 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/e7a3e4679b4f648844142710253ffd73.png", "anno": "| | Score-最小值 | Score-Q1 | Score-中位数 | Score-Q3 | Score-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Physician | 34 | 40.5 | 43.5 | 45.5 | 49 |\n| ChatGPT | 33 | 38 | 41 | 43.5 | 49 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4430898beb428a4ffac60fee715d7f8a.png", "anno": "| day | total_bill-最小值 | total_bill-Q1 | total_bill-中位数 | total_bill-Q3 | total_bill-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Thur | 8 | 12 | 16 | 20 | 30 |\n| Fri | 6 | 12 | 16 | 22 | 29 |\n| Sat | 3 | 14 | 18 | 25 | 39 |\n| Sun | 7 | 15 | 20 | 26 | 41 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a1bb5ddce15621c7e8d1d14899f916d5.png", "anno": "#### A\n\n| | Range-最小值 | Range-Q1 | Range-中位数 | Range-Q3 | Range-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| T0-T1 | 7 | 9 | 11 | 12 | 13 |\n| T0-T4 | -5 | -1 | 1 | 3 | 6 |\n| T1-T2 | -2 | 2 | 7 | 10 | 16 |\n| T2-T3 | -8 | 1 | 3 | 7 | 10 |\n\n#### B\n\n| | Range-最小值 | Range-Q1 | Range-中位数 | Range-Q3 | Range-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| T0-T1 | 5 | 8 | 10 | 12 | 15 |\n| T0-T4 | -6 | -2 | 1 | 3 | 5 |\n| T1-T2 | -2 | 5 | 8 | 12 | 19 |\n| T2-T3 | -3 | 3 | 5 | 7 | 11 |\n\n#### C\n\n| | Range-最小值 | Range-Q1 | Range-中位数 | Range-Q3 | Range-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| T0-T1 | 2 | 5 | 7 | 9| 11 |\n| T0-T4 | -8 | -4 | -3 | 1 | 3 |\n| T1-T2 | 8 | 15 | 19 | 21 | 28 |\n| T2-T3 | 0 | 2 | 4 | 5 | 8 |\n\n#### D\n\n| | Range-最小值 | Range-Q1 | Range-中位数 | Range-Q3 | Range-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| T0-T1 | 4 | 8 | 10 | 11 | 15 |\n| T0-T4 | -5 | -3 | -1 | 1 | 6 |\n| T1-T2 | 16 | 19 | 20 | 22 | 24 |\n| T2-T3 | 2 | 3 | 3.5 | 5 | 7 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/f51c078d29603a161a06f89256b1d926.png", "anno": "### Notched box plot\n| Three separete samples | Observed values-最小值 | Observed values-Q1 | Observed values-中位数 | Observed values-Q3 | Observed values-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| x | -2.2 | -0.7 | 0.0 | 0.7 | 2.1 |\n| x2 | -4.6 | -1.3 | 0.0 | 1.3 | 3.7 |\n| x3 | -6.6 | -1.3 | 0.3 | 2.2 | 6.5 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/eecea9b124108d08b75909b1e2cf5f43.png", "anno": "| Stage | Value-最小值 | Value-Q1 | Value-中位数 | Value-Q3 | Value-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 0 | 6.0 | 6.8 | 7.3 | 8.1 | 9.0 |\n| 1 | 4.5 | 4.8 | 5.6 | 6.2 | 7.2 |\n| 2 | 4.7 | 4.9 | 5.1 | 5.3 | 5.3 |\n| 3 | 7.2 | 7.2 | 8.1 | 8.3 | 8.5 |\n| 4 | 4.6 | 5.4 | 6.1 | 6.5 | 7.9 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4d8b6dd84eedf92bd970e87311153898.png", "anno": "### MPG by Origin and Year\n| Origin and Year | MPG-最小值 | MPG-Q1 | MPG-中位数 | MPG-Q3 | MPG-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| USA 70 | 9.0 | 14.0 | 15.0 | 18.0 | 22.0 |\n| USA 76 | 13.0 | 15.4 | 18.2 | 24.0 | 29.0 |\n| USA 82 | 22.0 | 26.5 | 28.0 | 33.0 | 38.0 |\n| France 70 | | | 25.0 | | |\n| France 76 | | 19.0 | 23.0 | 27.0 | |\n| Japan 70 | | 24.0 | 25.5 | 27.0 | |\n| Japan 76 | 19.0 | 23.5 | 30.0 | 32.5 | 33.0 |\n| Japan 82 | 31.0 | 32.0 | 36.0 | 37.2 | 38.0 |\n| Germany 70 | 24.0 | 24.6 | 26.0 | | |\n| Germany 76 | 16.4 | 20.9 | 27.0 | 29.2 | 29.6 |\n| Germany 82 | | 36.0 | 40.0 | 44.0 | |\n| Sweden 70 | | | 25.0 | | |\n| Sweden 76 | | | 20.0 | | |\n| Italy 76 | | | 28.0 | | |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/ca8324346f2834d9c70e2cfb17c15e8a.png", "anno": "### Miles per Gallon by Vehicle Origin\n\n| Country of Origin | Miles per Gallon (MPG)-最小值 | Miles per Gallon (MPG)-Q1 | Miles per Gallon (MPG)-中位数 | Miles per Gallon (MPG)-Q3 | Miles per Gallon (MPG)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| USA | 9.0 | 15.0 | 20.5 | 26.8 | 38.0 |\n| France | 19.0 | 20.5 | 25.0 | 26.5 | 27.0 |\n| Japan | 19.0 | 28.8 | 32.0 | 36.0 | 38.0 |\n| Germany | 16.5 | 24.8 | 26.0 | 31.0 | 36.0 |\n| Sweden | | 20.0 | 22.5 | 25.0 | |\n| Italy | | | 28.0 | | |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/3ec01cf12f9e7479de206b42e67f01ce.png", "anno": "#### A\n| Group | Score-最小值 | Score-Q1 | Score-中位数 | Score-Q3 | Score-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| X | 55.0 | 75.0 | 80.0 | 110.0 | 150.5 |\n| Y | 52.5 | 71.3 | 110.0 | 131.3 | 150.5 |\n| Z | 58.8 | 68.8 | 98.0 | 123.8 | 130.0 |\n\n#### B\n| Group | Score-最小值 | Score-Q1 | Score-中位数 | Score-Q3 | Score-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| X | 55.2 | 85.0 | 121.3 | 132.5 | 147.5 |\n| Y | 52.5 | 8.00 | 104.8 | 125.3 | 147.5 |\n| Z | 55.0 | 68.8 | 82.3 | 97.3 | 135.0 |\n\n#### C\n| Group | Score-最小值 | Score-Q1 | Score-中位数 | Score-Q3 | Score-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| X | 49.5 | 62.0 | 77.8 | 115.3 | 150.0 |\n| Y | 52.8 | 67.3 | 84.5 | 129.8 | 148.8 |\n| Z | 55.3 | 65.0 | 88.3 | 112.5 | 147.0 |\n\n#### D\n| Group | Score-最小值 | Score-Q1 | Score-中位数 | Score-Q3 | Score-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| X | 60.0 | 71.3 | 88.0 | 117.5 | 140.5 |\n| Y | 55.0 | 80.5 | 105.3 | 119.8 | 148.8 |\n| Z | 52.0 | 84.5 | 95.0 | 122.0 | 150.0 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/51a77a528fed6ac7e47a953525fdfab4.png", "anno": "| Sample | Value-最小值 | Value-Q1 | Value-中位数 | Value-Q3 | Value-最大值 | \n| --- | --- | --- | --- | --- | --- |\n| A1 | -0.8 | 1.5 | 2.5 | 3.9 | 7 |\n| A2 | 0.1 | 2.4 | 3 | 3.8 | 6 |\n| A3 | -0.4 | 1.7 | 3.1 | 3.8 | 6.8 |\n| A4 | 0.6 | 2.5 | 3 | 3.6 | 5.2 |\n| B1 | 0.2 | 3.7 | 5.4 | 7.2 | 11.6 |\n| B2 | 1 | 4 | 5.2 | 6.6 | 10.1 |\n| B3 | -3 | 3.5 | 5.3 | 6.5 | 9.2 |\n| B4 | -2.5 | 2.4 | 4.6 | 6.4 | 10.6 |\n| C1 | 2.1 | 5.5 | 6.6 | 8.3 | 11.5 |\n| C2 | 0.7 | 5.4 | 7.1 | 9.5 | 13.8 |\n| C3 | 2.6 | 5.8 | 7 | 8.4 | 11.5 |\n| C4 | -1.7 | 4.1 | 6.5 | 8.6 | 13.5 | ", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/f28a49a474d5e9b2920f8c59f4168a2a.png", "anno": "### 各组数据分布箱线图\n| 组别 | 数值-最小值 | 数值-Q1 | 数值-中位数 | 数值-Q3 | 数值-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| A | 20 | 40 | 50 | 58 | 83 |\n| B | 39 | 54 | 61 | 67 | 83 |\n| C | -4 | 30 | 44 | 56 | 90 |\n| D | 23 | 47 | 55 | 64 | 86 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/88274a7134d7c2cccd5ecce27c8ffe0e.png", "anno": "| | Range-最小值 | Range-Q1 | Range-中位数 | Range-Q3 | Range-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| A | 0.535 | 0.547 | 0.58 | 0.605 | 0.622 |\n| B | 0.58 | 0.586 | 0.615 | 0.622 | 0.65 |\n| C | 0.595 | 0.614 | 0.616 | 0.627 | 0.645 |\n| D | 0.526 | 0.565 | 0.58 | 0.593 | 0.614 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9f8d34a3989f23cb8ab2aa2bf1084ba3.png", "anno": "| fuel | price(in_lk)-最小值 | price(in_lk)-Q1 | price(in_lk)-中位数 | price(in_lk)-Q3 | price(in_lk)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Petrol | 1.5 | 4.5 | 5.5 | 7.2 | 11.6 |\n| Diesel | 4.0 | 6.4 | 9.5 | 13.6 | 23.0 |\n| CNGHR | 3.1 | 4.0 | 4.1 | 6.0 | 7.5 |\n| CNGDL | 4.2 | 5.8 | 7.0 | 7.2 | 8.1 |\n| CNGMH | 2.7 | 3.8 | 5.4 | 7.6 | 8.8 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/5357a7ac7dde909cc90f45082660966f.png", "anno": "| | Range-最小值 | Range-Q1 | Range-中位数 | Range-Q3 | Range-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 组别1 | 2.1 | 2.9 | 3.2 | 3.6 | 4.0 |\n| 组别2 | 1.5 | 2.1 | 2.6 | 3.0 | 4.1 |\n| 组别3 | 3.1 | 3.8 | 4.2 | 4.6 | 5.1 |\n| 组别4 | 1.1 | 1.8 | 2.0 | 2.4 | 2.9 |\n| 组别5 | 2.2 | 2.7 | 3.0 | 3.4 | 4.1 |\n| 组别6 | 2.3 | 2.7 | 3.2 | 3.6 | 4.1 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/e7c08c73502d1a81395b9ad950bf86cd.png", "anno": "### Grouped Boxplot - how2matplotlib.com\n\n| | Values-最小值 | Values-Q1 | Values-中位数 | Values-Q3 | Values-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Group A | -2 | -0.6 | -0.1 | 0.4 | 1.9 |\n| Group B | 0.1 | 1.2 | 2.1 | 2.6 | 4.5 |\n| Group C | -4 | -2 | -0.8 | 0 | 2.5 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/774bad43c65a34088c996087d814a24c.png", "anno": "### Customized Boxplot - how2matplotlib.com\n\n| | Values-最小值 | Values-Q1 | Values-中位数 | Values-Q3 | Values-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | -2.5 | -0.6 | 0 | 0.7 | 2.4 |\n| 2 | -4.4 | -1.1 | 0.3 | 1.3 | 3.9 |\n| 3 | -7.5 | -2.2 | -0.4 | 1.6 | 6.7 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/035f26244b093d9000f7dc39b22706d7.png", "anno": "### Boxplot with Color Mapping - how2matplotlib.com\n\n| | Values-最小值 | Values-Q1 | Values-中位数 | Values-Q3 | Values-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Group 1 | -2 | -0.6 | -0.1 | 0.5 | 1.9 |\n| Group 2 | -0.9 | 0.2 | 1.1 | 1.6 | 3.5 |\n| Group 3 | 0 | 1.4 | 2.1 | 2.7 | 4.3 |\n| Group 4 | 0.9 | 2.5 | 3.1 | 3.7 | 5.2 |\n| Group 5 | 1.7 | 3.2 | 3.9 | 4.7 | 6.1 |", "chart_type": "箱线图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/dcdade3726669913b00db0bea01eca0f.png", "anno": "### 作物生产；\n\n| | 土壤功能得分-最小值 | 土壤功能得分-Q1 | 土壤功能得分-中位数 | 土壤功能得分-Q3 | 土壤功能得分-最大值 | 土壤功能得分-均值 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1984 | 0.37 | 0.39 | 0.42 | 0.47 | 0.51 | 0.44 |\n| 2003 | 0.34 | 0.41 | 0.45 | 0.49 | 0.58 | 0.45 |\n| 2011 | 0.39 | 0.43 | 0.475 | 0.52 | 0.62 | 0.48 |\n\n### 碳固存；\n\n| | 土壤功能得分-最小值 | 土壤功能得分-Q1 | 土壤功能得分-中位数 | 土壤功能得分-Q3 | 土壤功能得分-最大值 | 土壤功能得分-均值 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1984 | 0.11 | 0.19 | 0.295 | 0.43 | 0.52 | 0.31 |\n| 2003 | 0.14 | 0.18 | 0.30 | 0.44 | 0.56 | 0.32 |\n| 2011 | 0.06 | 0.23 | 0.33 | 0.46 | 0.58 | 0.34 |\n\n### 持水净化；\n\n| | 土壤功能得分-最小值 | 土壤功能得分-Q1 | 土壤功能得分-中位数 | 土壤功能得分-Q3 | 土壤功能得分-最大值 | 土壤功能得分-均值 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1984 | 0.375 | 0.405 | 0.46 | 0.535 | 0.60 | 0.48 |\n| 2003 | 0.37 | 0.40 | 0.45 | 0.54 | 0.60 | 0.47 |\n| 2011 | 0.30 | 0.405 | 0.435 | 0.54 | 0.62 | 0.465 |\n\n### 养分运移。\n\n| | 土壤功能得分-最小值 | 土壤功能得分-Q1 | 土壤功能得分-中位数 | 土壤功能得分-Q3 | 土壤功能得分-最大值 | 土壤功能得分-均值 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1984 | 0.36 | 0.36 | 0.365 | 0.37 | 0.37 | 0.365 |\n| 2003 | 0.35 | 0.375 | 0.395 | 0.41 | 0.44 | 0.40 |\n| 2011 | 0.32 | 0.375 | 0.40 | 0.43 | 0.50 | 0.395 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/7f90ead1b86323090e20e78e4ed1a3c5.png", "anno": "箱线图1(0,0),(0,0)\n### 四个省份两个阶段的数据分布\n#### 第1次\n| 省份 | 销量-最小值 | 销量-Q1 | 销量-中位数 | 销量-Q3 | 销量-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 四川省 | 57 | 88 | 102 | 114 | 144 |\n| 江西省 | 78 | 94 | 101 | 107 | 121 |\n| 河南省 | 57 | 84 | 96 | 106 | 132 |\n| 山东省 | 54 | 83 | 92 | 103 | 131 |\n\n#### 第2次\n| 省份 | 销量-最小值 | 销量-Q1 | 销量-中位数 | 销量-Q3 | 销量-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 四川省 | 66 | 99 | 110 | 121 | 150 |\n| 江西省 | 83 | 96 | 102 | 109 | 122 |\n| 河南省 | 59 | 87 | 95 | 109 | 131 |\n| 山东省 | 55 | 82 | 91 | 102 | 131 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/80fd20ded891ed1fe8815736075201c8.png", "anno": "### 图3 各A级指标评价结果\n#### 学生发展\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 小学 | 75.5 | 80.5 | 85 | 87.8 | 93.5 |\n| 初中 | 69.5 | 79 | 82 | 87 | 89 |\n| 九年一贯制 | 74 | 79 | 81 | 82.5 | 86.5 |\n| 高中 | 66.5 | 79 | 83 | 88 | 96 |\n\n#### 教师发展\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 小学 | 74 | 79.5 | 83.5 | 88.5 | 94 |\n| 初中 | 75.5 | 80.5 | 82.5 | 86 | 89 |\n| 九年一贯制 | 70 | 76.5 | 81 | 83 | 88 |\n| 高中 | 71 | 76.5 | 81 | 86 | 92 |\n\n#### 学校管理\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 小学 | 78.8 | 85 | 90 | 92.5 | 97 |\n| 初中 | 71.5 | 80 | 86 | 90.5 | 94.5 |\n| 九年一贯制 | 81 | 85 | 87 | 90 | 93.5 |\n| 高中 | 74 | 82.5 | 85 | 91 | 95.5 |\n\n#### 社会认同\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 小学 | 69.5 | 82 | 85.5 | 91.5 | 99.5 |\n| 初中 | 69 | 77 | 79 | 85.5 | 97 |\n| 九年一贯制 | 74 | 79.5 | 82 | 83 | 88.5 |\n| 高中 | 70 | 74 | 76 | 80 | 88 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d59c8f7bddea6a46bc3805cb6413d165.png", "anno": "### 不同学校层级的初试成绩分布\n\n| 学校类型 | 初试成绩-最小值 | 初试成绩-Q1 | 初试成绩-中位数 | 初试成绩-Q3 | 初试成绩-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 211 | 346 | 352 | 364 | 374 | 374 |\n| 985 | 350 | 362 | 373 | 394 | 418 |\n| 普本 | 335 | 358 | 375 | 389 | 406 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/e6ab9c85e016b4f45a6e792d0f2798d8.png", "anno": "### Logistic回归模型\n\n| 预测概率均值 | 预测概率标准差-最小值 | 预测概率标准差-Q1 | 预测概率标准差-中位数 | 预测概率标准差-Q3 | 预测概率标准差-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 0-0.25 | 0.01 | 0.02 | 0.02 | 0.03 | 0.03 |\n| 0.25-0.5 | 0.02 | 0.02 | 0.03 | 0.03 | 0.03 |\n| 0.5-0.75 | 0.02 | 0.02 | 0.03 | 0.03 | 0.03 |\n| 0.75-1 | 0.01 | 0.02 | 0.02 | 0.02 | 0.03 |\n\n### 支持向量机模型\n\n| 预测概率均值 | 预测概率标准差-最小值 | 预测概率标准差-Q1 | 预测概率标准差-中位数 | 预测概率标准差-Q3 | 预测概率标准差-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 0-0.25 | 0.02 | 0.03 | 0.03 | 0.04 | 0.05 |\n| 0.25-0.5 | 0.03 | 0.06 | 0.08 | 0.11 | 0.19 |\n| 0.5-0.75 | 0.03 | 0.06 | 0.08 | 0.11 | 0.19 |\n| 0.75-1 | 0.02 | 0.03 | 0.04 | 0.05 | 0.08 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2df9bfeb6056ce63f150a1d2648473d7.png", "anno": "| 月份 | 发病率(1/10万)-最小值 | 发病率(1/10万)-Q1 | 发病率(1/10万)-中位数 | 发病率(1/10万)-Q3 | 发病率(1/10万)-最大值 | 均值 | 异常值 | 年平均发病率 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0.5 | 2.0 | 4.0 | 4.5 | 5.5 | 3.5 | | 3.5 |\n| 2 | 0.0 | 1.0 | 2.5 | 3.0 | 3.5 | 2.5 | | 2.5 |\n| 3 | 3.0 | 4.5 | 5.0 | 6.5 | 7.5 | 5.5 | 0.0,12.0 | 5.5 |\n| 4 | 1.0 | 9.0 | 14.5 | 19.0 | 32.0 | 14.5 | | 14.5 |\n| 5 | 13.0 | 16.0 | 20.5 | 32.0 | 38.0 | 24.0 | | 24.0 |\n| 6 | 23.0 | 23.0 | 24.0 | 28.0 | 35.0 | 23.5 | 8.0,13.0 | 23.5 |\n| 7 | 18.0 | 18.0 | 19.0 | 20.0 | 22.0 | 17.8 | 5.0,12.0 | 17.8 |\n| 8 | 8.0 | 9.0 | 10.0 | 12.0 | 13.0 | 10.0 | 2.0 | 10.0 |\n| 9 | 2.0 | 7.0 | 10.0 | 14.0 | 16.0 | 10.0 | | 10.0 |\n| 10 | 2.5 | 6.0 | 10.0 | 14.0 | 19.0 | 10.0 | | 10.0 |\n| 11 | 3.0 | 5.0 | 9.0 | 11.0 | 15.0 | 9.0 | | 9.0 |\n| 12 | 1.0 | 4.0 | 6.0 | 9.0 | 10.0 | 6.0 | | 6.0 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a8a262c09233cc9b816e61c1ec694814.png", "anno": "| | 含量（$ \\mu g·L^{-1} $）-最小值 | 含量（$ \\mu g·L^{-1} $）-Q1 | 含量（$ \\mu g·L^{-1} $）-中位数 | 含量（$ \\mu g·L^{-1} $）-Q3 | 含量（$ \\mu g·L^{-1} $）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 自来水 | 0.15 | 0.49 | 0.90 | 1.24 | 1.46 |\n| 泉水 | 0.1 | 0.32 | 0.48 | 0.6 | 0.85 |\n| 雪水 | 0.3 | 0.35 | 0.4 | 0.45 | 0.52 |\n| 河水 | 0.15 | 0.2 | 0.3 | 0.37 | 0.5 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/db62c09e0d134d27ea01850cf5e9829f.png", "anno": "| 缓冲距离/km | 地表温度/℃-最小值 | 地表温度/℃-Q1 | 地表温度/℃-中位数 | 地表温度/℃-Q3 | 地表温度/℃-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 34.4 | 37.8 | 39.6 | 41.7 | 44.8 |\n| 2 | 35.3 | 36.2 | 38.1 | 39.4 | 41.4 |\n| 3 | 34.7 | 36.5 | 37.7 | 38.2 | 39.8 |\n| 4 | 34.7 | 35.1 | 37.0 | 38.1 | 38.4 |\n| 5 | 34.0 | 35.0 | 36.3 | 36.7 | 38.3 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/4972c5e6612f86c2a997d037ff753140.png", "anno": "| 产地 | 乙酸龙脑酯含量-最小值 | 乙酸龙脑酯含量-Q1 | 乙酸龙脑酯含量-中位数 | 乙酸龙脑酯含量-Q3 | 乙酸龙脑酯含量-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 广东 | 25% | 95% | 125% | 155% | 230% |\n| 广西 | 30% | 45% | 51% | 98% | 105% |\n| 海南 | 18% | 40% | 80% | 155% | 170% |\n| 云南 | 20% | 45% | 55% | 140% | 220% |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/cbc8ebc465d9a9f535506fcfa168ad20.png", "anno": "### 检测结果的箱形图\n\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 方法1 | 18 | 22 | 25 | 28 | 32 |\n| 方法2 | 20 | 23 | 25 | 27 | 30 |\n| 方法3 | 10 | 19 | 28 | 32 | 39 |\n| 方法4 | 23 | 30 | 32 | 36 | 40 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/1ebd9b495b5e1b32e00713e1ef513cbb.png", "anno": "| 年龄段 | 比赛场数-最小值 | 比赛场数-Q1 | 比赛场数-中位数 | 比赛场数-Q3 | 比赛场数-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 18-21 | 8 | 60 | 80 | 115 | 200 |\n| 22-25 | 7 | 80 | 115 | 170 | 295 |\n| 26-29 | 15 | 105 | 150 | 215 | 375 |\n| 30-33 | 6 | 125 | 190 | 250 | 430 |\n| 34-37 | 5 | 130 | 220 | 300 | 530 |\n| 38+ | 42 | 135 | 205 | 280 | 405 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/645cc67b77676647a3386521cbc03657.png", "anno": "| | 最大群体规模-最小值 | 最大群体规模-Q1 | 最大群体规模-中位数 | 最大群体规模-Q3 | 最大群体规模-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 两百五十万年前之前 | 0 | 5 | 7 | 15 | 26 |\n| 两百五十万年前之后 | 0 | 11 | 14 | 26 | 36 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/4d38e1d1f71d7db3e4f78a60d90626e2.png", "anno": "| 年 | 出生时预期寿命（单位：岁）-最小值 | 出生时预期寿命（单位：岁）-Q1 | 出生时预期寿命（单位：岁）-中位数 | 出生时预期寿命（单位：岁）-Q3 | 出生时预期寿命（单位：岁）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1950 | 29 | 41 | 50 | 61 | 73 |\n| 1955 | 30 | 43 | 54 | 64 | 74 |\n| 1960 | 31 | 45 | 57 | 67 | 74 |\n| 1966 | 33 | 48 | 59 | 68 | 74.5 |\n| 1971 | 35 | 50 | 62 | 69.5 | 75 |\n| 1976 | 31 | 52.5 | 64 | 70.5 | 77 |\n| 1981 | 40 | 55 | 66 | 71.5 | 78 |\n| 1987 | 41 | 57 | 68 | 72 | 79 |\n| 1992 | 41.5 | 59 | 69 | 73 | 80 |\n| 1998 | 38 | 59 | 70 | 74 | 81 |\n| 2001 | 42 | 61 | 71 | 75 | 82 |\n| 2008 | 46 | 64 | 73 | 77 | 84 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c056da0060946aaaac295e70e78fc078.png", "anno": "### 用餐时刻\n\n#### 午餐\n| 星期 | 总消费-最小值 | 总消费-Q1 | 总消费-中位数 | 总消费-Q3 | 总消费-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 周四 | 7 | 12.5 | 16 | 20.2 | 30 |\n| 周五 | 8.5 | 11.2 | 13.5 | 15 | 16.3 |\n\n#### 晚餐\n| 星期 | 总消费-最小值 | 总消费-Q1 | 总消费-中位数 | 总消费-Q3 | 总消费-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 周四 | 19 | 19 | 19 | 19 | 19 |\n| 周五 | 5.5 | 12.8 | 19 | 24 | 40.5 |\n| 周六 | 2.8 | 14 | 18.5 | 25 | 40 |\n| 周日 | 7 | 15.2 | 20 | 26 | 41 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/941ba1824a734cdb0cb54f407ecfe805.png", "anno": "| 教育程度 | 压力分值-最小值 | 压力分值-Q1 | 压力分值-中位数 | 压力分值-Q3 | 压力分值-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 初中及以下 | 20 | 21 | 39.9 | 61.9 | 67 |\n| 高中 | 13 | 22 | 34.3 | 40.2 | 48 |\n| 大专 | 16.2 | 30.3 | 37 | 45 | 58 |\n| 本科 | 13 | 23 | 31 | 39 | 56 |\n| 研究生 | 13 | 18 | 26 | 36 | 52 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/fe869bcf7b7046c031040db0430355fe.png", "anno": "| | 身高-最小值 | 身高-Q1 | 身高-中位数 | 身高-Q3 | 身高-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 18~35 | 154 | 162 | 165 | 169 | 176 |\n| 36~55 | 149 | 158 | 162 | 166.5 | 176 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c58c4dd79d12be7d4b961b1739a0ead0.png", "anno": "### 不同城市的薪酬分布\n\n| | 最小值-薪酬K/月 | Q1-薪酬K/月 | 中位数-薪酬K/月 | Q3-薪酬K/月 | 最大值-薪酬K/月 |\n| --- | --- | --- | --- | --- | --- |\n| 北京 | 2 | 6 | 13 | 20 | 38 |\n| 上海 | 2 | 6 | 13 | 15 | 24 |\n| 深圳 | 6 | 8 | 14 | 23 | 34 |\n| 杭州 | 3 | 5 | 10 | 17 | 28 |\n| 广州 | 2 | 4 | 5 | 8 | 14 |\n| 南京 | 2 | 4 | 6 | 14 | 17 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/8dc2f2266c236b4bbe8cfa3215e5473f.png", "anno": "### 图1 不同规格全血过滤白细胞的箱线图\n#### 注：*表示异常过滤时长。\n| 不同规格全血/mL | 白细胞过滤时间/min-最小值 | 白细胞过滤时间/min-Q1 | 白细胞过滤时间/min-中位数 | 白细胞过滤时间/min-Q3 | 白细胞过滤时间/min-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 200 | 3 | 4 | 4.5 | 5 | 6 |\n| 300 | 3 | 6 | 7 | 8 | 12 |\n| 400 | 4 | 7.5 | 8.5 | 10.5 | 14.5 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/8e58f436466d565ef2a7d502e92c06cf.png", "anno": "| 性别 | 身高-最小值 | 身高-Q1 | 身高-中位数 | 身高-Q3 | 身高-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 女 | 156 | 163 | 166 | 168 | 175 |\n| 男 | 154 | 165 | 172 | 178 | 187 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/500c8dc2bd4bec7492c52ce992d7c99a.png", "anno": "### b. 季末递减率对比\n\n| 植被类别 | 季末递减率-最小值 | 季末递减率-Q1 | 季末递减率-中位数 | 季末递减率-Q3 | 季末递减率-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| SA | 0.004 | 0.009 | 0.011 | 0.013 | 0.016 |\n| PA | 0.003 | 0.012 | 0.015 | 0.023 | 0.037 |\n| SS | 0.002 | 0.008 | 0.012 | 0.016 | 0.025 |\n| IC | 0.014 | 0.023 | 0.027 | 0.029 | 0.040 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c51ddacfe00c6088694d29b22aa8089e.png", "anno": "### 两因素两水平重复测量方差分析\n\n| | hp-最小值 | hp-Q1 | hp-中位数 | hp-Q3 | hp-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 处理组.x1 | 116 | 122 | 125 | 130 | 139 |\n| 对照组.x1 | 114 | 118 | 124 | 132 | 134 |\n| 处理组.x2 | 98 | 102 | 109 | 116 | 126 |\n| 对照组.x2 | 116 | 118 | 123 | 124 | 132 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/de7fdcf269b66b371becefdb938005b7.png", "anno": "| | 血脂知识了解评分-最小值 | 血脂知识了解评分-Q1 | 血脂知识了解评分-中位数 | 血脂知识了解评分-Q3 | 血脂知识了解评分-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 农村 | 12 | 17 | 20 | 28 | 45 |\n| 城镇、县城 | 12 | 18 | 21 | 30 | 50 |\n| 市区 | 12 | 21 | | 38 | 55 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/6d37cd5eedf6212970e8cb8793a60a5a.png", "anno": "### ARNI治疗前后的左心室射血分数\n\n| | LVEF（%）-最小值 | LVEF（%）-Q1 | LVEF（%）-中位数 | LVEF（%）-Q3 | LVEF（%）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| ARNI治疗前 | 16 | 27 | 33 | 37 | 47 |\n| ARNI治疗后 | 21 | 35 | 42 | 50 | 64 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/7f964c31aeebfbb45517014d41624506.png", "anno": "箱线图1(0,0),(0,0)\n### 不同城市的薪酬分布\n\n| | 薪酬K/月-最小值 | 薪酬K/月-Q1 | 薪酬K/月-中位数 | 薪酬K/月-Q3 | 薪酬K/月-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 北京 | 1 | 7 | 13 | 20 | 37 |\n| 上海 | 1 | 7 | 13 | 16 | 24 |\n| 深圳 | 7 | 10 | 14 | 23 | 34 |\n| 杭州 | 4 | 6 | 10 | 17 | 28 |\n| 广州 | 3 | 5 | 6 | 9 | 14 |\n| 南京 | 3 | 6 | 8 | 14 | 17 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/abd0b16b09deee3a3642f6d0f239d493.png", "anno": "### 图：某直销中心员工工资调整前后箱线图比较\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 30调整前 | 840 | 990 | 1020 | 1100 | 1120 |\n| 30调整后 | 470 | 720 | 760 | 1000 | 1300 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/7fb13f7c7becce99f2bee90baf293915.png", "anno": "| | 胎釉反应层（微米）-最小值 | 胎釉反应层（微米）-Q1 | 胎釉反应层（微米）-中位数 | 胎釉反应层（微米）-Q3 | 胎釉反应层（微米）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 汝官Ⅰ | 50 | 85 | 110 | 115 | 117 |\n| 汝官Ⅱ | 65 | 75 | 80 | 90 | 110 |\n| 民汝（北宋） | 140 | 165 | 235 | 270 | 400 |\n| 民汝（金元） | 210 | 225 | 290 | 310 | 390 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a471b61e8e07d8bf961fa94828787767.png", "anno": "| workYear | salary-最小值 | salary-Q1 | salary-中位数 | salary-Q3 | salary-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 应届毕业生 | 1.6 | 3.5 | 5 | 11.9 | 20 |\n| 1-3年 | 1.6 | 8.5 | 12 | 15 | 24 |\n| 3-5年 | 6 | 15 | 20 | 23 | 35 |\n| 5-10年 | 10 | 22.5 | 27 | 34.5 | 52 |\n| 不限 | 1.6 | 5 | 7.5 | 15 | 29.5 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/9d8d0a838c0b735d85362c85d189200b.png", "anno": "### 成绩\n\n| 科目 | 成绩-最小值 | 成绩-Q1 | 成绩-中位数 | 成绩-Q3 | 成绩-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 语文 | 30 | 60 | 75 | 83 | 95 |\n| 数学 | 13 | 18 | 38 | 73 | 75 |\n| 英语 | 13 | 33 | 56 | 85 | 92 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/671a8f38a86370bc7b61f76e15641b54.png", "anno": "箱线图1(0,0),(0,0)\n\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 制造 | -25.44 | -22.29 | -19.29 | -16.79 | -11.33 |\n| 医药 | -21.18 | -16.43 | -15.00 | -12.14 | -7.33 |\n| 周期 | -20.66 | -15.71 | -12.14 | -6.36 | 3.00 |\n| 消费 | -22.79 | -19.64 | -17.86 | -15.00 | -4.00 |\n| 科技 | -25.37 | -21.43 | -20.71 | -18.21 | -14.00 |\n| 金融地产 | -19.12 | -13.21 | -5.00 | -0.71 | 8.00 |\n| 高仓位均衡 | -22.79 | -18.57 | -16.43 | -12.86 | -6.67 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/0cac17918333c312755ed7685c6c3237.png", "anno": "| workYear | salary-最小值 | salary-Q1 | salary-中位数 | salary-Q3 | salary-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 应届毕业生 | 1.7 | 3.7 | 5.2 | 11.6 | 20.2 |\n| 1-3年 | 1.5 | 8.7 | 12.1 | 15.0 | 24.1 |\n| 3-5年 | 6.0 | 15.3 | 20.4 | 23.4 | 35.2 |\n| 5-10年 | 9.2 | 22.9| 27.7 | 35.4 | 52.5 |\n| 不限 | 1.6 | 5.1 | 7.6 | 15.1 | 30.2 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a5fd755d44dca50f21ded0ddfe924077.png", "anno": "| | 单价（美元）-最小值 | 单价（美元）-Q1 | 单价（美元）-中位数 | 单价（美元）-Q3 | 单价（美元）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 部门1 | 38 | 60 | 80 | 100 | 154 |\n| 部门2 | 64 | 78 | 100 | 156 | 178 |\n| 部门3 | 38 | 60 | 138 | 160 | 189 |\n| 部门4 | 27 | 38 | 78 | 120 | 131 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/41a69cbaef6aead7d2ce3e79f2609f82.png", "anno": "| $ bNH_ {3}-N $ | $ NH_ {3}-N/(mg·L^{⁻¹}) $-最小值 | $ NH_ {3}-N/(mg·L^{⁻¹}) $-Q1 | $ NH_ {3}-N/(mg·L^{⁻¹}) $-中位数 | $ NH_ {3}-N/(mg·L^{⁻¹}) $-Q3 | $ NH_ {3}-N/(mg·L^{⁻¹}) $-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 小雨 | 9.5 | 16 | 20.5 | 24 | 29.8 |\n| 中雨 | 3.5 | 9 | 13.6 | 21 | 32 |\n| 大雨 | 0 | 4.5 | 9 | 17 | 31 |\n| 暴雨 | 3 | 4.5 | 8 | 5.1 | 30 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b20c61fb691f370eb6408cf3a1807d57.png", "anno": "### 图4.3: 昆虫数目箱线图：六种杀虫剂下昆虫的数目分布。\n| spray | count-最小值 | count-Q1 | count-中位数 | count-Q3 | count-最大值 |\n| --- | --- | --- | --- | --- | --- | \n| A | 7 | 11 | 14 | 18.5 | 23 | \n| B | 7 | 12 | 16.4 | 18 | 21.8 | \n| C | 0 | 1 | 1.5 | 3 | 4 |\n| D | 2 | 3.6 | 5 | 5.2 | 6 |\n| E | 1 | 2.5 | 3 | 5 | 6 |\n| F | 9 | 12 | 15 | 23.8 | 26 |\n\n| spray | count-最小值 | count-Q1 | count-中位数 | count-Q3 | count-最大值 |\n| --- | --- | --- | --- | --- | --- | \n| A | 7 | 11.5 | 14 | 17.7 | 23 | \n| B | 7 | 12.5 | 16.4 | 17.5 | 21 | \n| C | 0 | 1 | 1.6 | 3 | 4 |\n| D | 2 | 3.8 | 5 | 5.1 | 6 |\n| E | 1 | 2.8 | 3.1 | 5 | 6 |\n| F | 9 | 12.4 | 14.9 | 22.4 | 26 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c8681403c2d28ee90398ab10f1d4f9bc.png", "anno": "箱线图1(0,0),(0,0)\n### 不同城市的薪酬分布\n\n| | 最小值-薪酬K/月 | Q1-薪酬K/月 | 中位数-薪酬K/月 | Q3-薪酬K/月 | 最大值-薪酬K/月 |\n| --- | --- | --- | --- | --- | --- |\n| 北京 | 2 | 6 | 13 | 20 | 38 |\n| 上海 | 2 | 6 | 13 | 15 | 24 |\n| 深圳 | 6 | 8 | 14 | 23 | 34 |\n| 杭州 | 3 | 5 | 10 | 17 | 28 |\n| 广州 | 2 | 4 | 5 | 8 | 14 |\n| 南京 | 2 | 4 | 6 | 14 | 17 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/e8d000107b75c0e40b05f81f142884c4.png", "anno": "### (b)\n\n| | 叶面积指数-最小值 | 叶面积指数-Q1 | 叶面积指数-中位数 | 叶面积指数-Q3 | 叶面积指数-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 分蘖期-2021 | 0.38 | 0.65 | 0.84 | 1.1 | 1.31 |\n| 分蘖期-2022 | 0.47 | 0.65 | 0.76 | 1.0 | 1.32 |\n| 拔节期-2021 | 1.42 | 1.75 | 1.95 | 2.15 | 2.37 |\n| 拔节期-2022 | 1.54 | 1.63 | 2.0 | 2.3 | 2.53 |\n| 孕穗期-2021 | 1.32 | 1.51 | 1.6 | 1.82 | 2.3 |\n| 孕穗期-2022 | 1.72 | 1.97 | 2.1 | 2.25 | 2.61 |\n| 抽穗期-2021 | 1.39 | 1.75 | 1.95 | 2.2 | 2.38 |\n| 抽穗期-2022 | 1.7 | 2.11 | 2.32 | 2.45 | 2.72 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/fa2a0c0a7ed9453e4ff5b83de4fb5c69.png", "anno": "| | 最小值-釉厚(微米) | Q1-釉厚(微米) | 中位数-釉厚(微米) | Q3-釉厚(微米) | 最大值-釉厚(微米) |\n| --- | --- | --- | --- | --- | --- |\n| 汝官Ⅰ | 290 | 450 | 520 | 600 | 730 |\n| 汝官Ⅱ | 300 | 350 | 395 | 525 | 600 |\n| 民汝(北宋) | 150 | 310 | 380 | 450 | 520 |\n| 民汝(金元) | 320 | 520 | 640 | 980 | 1100 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c9518fd4a8f5a1cfc966d91cba7270b8.png", "anno": "### 白鼠伤寒杆菌实验分析\n| 实验菌种 | 平均存活天数-最小值 | 平均存活天数-Q1 | 平均存活天数-中位数 | 平均存活天数-Q3 | 平均存活天数-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 菌种一 | 2 | 2 | 4 | 4.5 | 7 |\n| 菌种二 | 5 | 6 | 6.5 | 10 | 12 |\n| 菌种三 | 3 | 5.5 | 6.5 | 9.5 | 11 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2e114442d8fd092a2fa4ae2d02f83bf4.png", "anno": "| a COD | COD/($ \\text{mg}\\cdot\\text{L}^{-1} $)-最小值 | COD/($ \\text{mg}\\cdot\\text{L}^{-1} $)-Q1 | COD/($ \\text{mg}\\cdot\\text{L}^{-1} $)-中位数 | COD/($ \\text{mg}\\cdot\\text{L}^{-1} $)-Q3 | COD/($ \\text{mg}\\cdot\\text{L}^{-1} $)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 小雨 | 100 | 170 | 240 | 295 | 465 |\n| 中雨 | 45 | 135 | 175 | 230 | 300 |\n| 大雨 | 50 | 75 | 100 | 135 | 220 |\n| 暴雨 | 30 | 60 | 85 | 135 | 230 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/080c0f7956e1415978c942b6e1744866.png", "anno": "| | 平均薪资(元/月)-最小值 | 平均薪资(元/月)-Q1 | 平均薪资(元/月)-中位数 | 平均薪资(元/月)-Q3 | 平均薪资(元/月)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 经验：0-3年 | 1000 | 5000 | 7000 | 10000 | 18000 |\n| 经验：4-6年 | 2000 | 8000 | 11000 | 17000 | 29000 |\n| 经验：>6年 | 3000 | 12000 | 18000 | 22000 | 35000 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/6a8ea27062306e1333f40de7f674eac0.png", "anno": "### 会计师工资分布\n\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 最低工资 | 0.8 | 4 | 5 | 6 | 9 |\n| 最高工资 | 2 | 5.8 | 7.8 | 10 | 16 |\n| 平均工资 | 1.5 | 4.6 | 6 | 7.6 | 12.4 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/38bc7847d893cb46077ee3a431f5841f.png", "anno": "| d TP | $ TP/(mg·L^{⁻¹}) $-最小值 | $ TP/(mg·L^{⁻¹}) $-Q1 | $ TP/(mg·L^{⁻¹}) $-中位数 | $ TP/(mg·L^{⁻¹}) $-Q3 | $ TP/(mg·L^{⁻¹}) $-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 小雨 | 0.55 | 2.1 | 2.6 | 3.3 | 3.9 |\n| 中雨 | 1.1 | 1.5 | 2.0 | 2.5 | 4.1 |\n| 大雨 | 1.0 | 1.2 | 1.3 | 2.0 | 2.9 |\n| 暴雨 | 1.2 | 1.5 | 1.9 | 2.3 | 3.4 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/6cbdc372afae3744ce949c6c87339fb2.png", "anno": "### 检测结果的箱形图\n\n| | 检测结果-最小值 | 检测结果-Q1 | 检测结果-中位数 | 检测结果-Q3 | 检测结果-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 方法1 | 18 | 21 | 25 | 28 | 32 |\n| 方法2 | 20 | 23 | 25 | 27 | 30 |\n| 方法3 | 10 | 20 | 28 | 32 | 39 |\n| 方法4 | 23 | 30 | 32 | 37 | 40 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/6b7f643cc58f051ff461bfb12ea62d0e.png", "anno": "### a. 季初增长率对比\n\n| 植被类别 | 季初增长率-最小值 | 季初增长率-Q1 | 季初增长率-中位数 | 季初增长率-Q3 | 季初增长率-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| SA | 0.007 | 0.018 | 0.024 | 0.031 | 0.043 |\n| PA | 0.004 | 0.017 | 0.024 | 0.034 | 0.053 |\n| SS | 0.003 | 0.007 | 0.009 | 0.012 | 0.02 |\n| IC | 0.014 | 0.023 | 0.029 | 0.037 | 0.055 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/5f7cc33d79cba0db7d1635f6ca6eca59.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 96.0 | 98.9 | 100.1 | 101.1 | 103.3 |\n| 2 | 96.8 | 99.0 | 100.0 | 101.0 | 103.2 |\n| 3 | 96.0 | 98.8 | 100.3 | 101.1 | 104.0 |\n| 4 | 96.8 | 99.1 | 100.2 | 100.8 | 102.9 |\n| 5 | 96.8 | 98.9 | 99.5 | 100.6 | 102.4 |\n| 6 | 96.5 | 99.2 | 99.9 | 101.0 | 103.8 |\n| 7 | 96.3 | 99.0 | 100.1 | 101.1 | 103.5 |\n| 8 | 96.5 | 98.9 | 100.0 | 101.0 | 103.2 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/abd179880baea2c11ffa3946a8dd0d9a.png", "anno": "### 拥挤度 最新分位数图\n\n| 指数 | 拥挤度-最小值 | 拥挤度--1 Std Dev | 拥挤度-Q1 | 拥挤度-中位数 | 拥挤度-Q3 | 拥挤度-+1 Std Dev | 拥挤度-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 上证指数 | 0.3 | 0.5 | 0.6 | 0.7 | 0.8 | 1.1 | 1.3 |\n| 中证500 | 0.7 | 0.8 | 1.1 | 1.3 | 1.6 | 1.8 | 2.5 |\n| 深证成指 | 0.7 | 0.9 | 1.2 | 1.4 | 1.7 | 2.0 | 2.5 |\n| 创业板指 | 0.7 | 1.0 | 1.3 | 1.6 | 2.1 | 2.7 | 3.4 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/edd3e871cd02e13ca6e2bd6815b0594d.png", "anno": "### 车辆级别与价格关系\n\n| | 价格(万元)-最小值 | 价格(万元)-Q1 | 价格(万元)-中位数 | 价格(万元)-Q3 | 价格(万元)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 中型SUV | 8 | 16 | 19 | 28 | 32 |\n| 中大型车 | 12 | 20 | 28 | 35 | 45 |\n| 紧凑型车 | 1 | 6 | 10 | 16 | 21 |\n| 中型车 | 8 | 16 | 18 | 19 | 20 |\n| 凑型SUV | 7 | 8 | 9 | 18 | 25 |\n| 大型车 | 19 | 38 | 60 | 77 | 105 |\n| 跑车 | 38 | 38 | 45 | 50 | 62 |\n| 大型SUV | 20 | 32 | 40 | 42 | 50 |\n| 敞面 | 2 | 2 | 2 | 2 | 2 |\n| 皮卡 | 10 | 10 | 10 | 10 | 10 |\n| 大型SUV | 24 | 24 | 24 | 24 | 24 |\n| 小型SUV | 2 | 2 | 3 | 4 | 5 |\n| 中型车 | 2 | 4 | 5 | 6 | 8 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/fda743f56a29126ab6d32961d4a41e62.png", "anno": "### 图3 不同联赛球员身价对比图\n\n| 联赛 | 身价-最小值 | 身价-Q1 | 身价-中位数 | 身价-Q3 | 身价-最大值 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 法甲 | 15 | 420 | 530 | 800 | 1090 |\n| 西甲 | 10 | 420 | 540 | 890 | 1550 |\n| 意甲 | 15 | 425 | 610 | 950 | 1600 |\n| 德甲 | 20 | 495 | 680 | 1050 | 1800 |\n| 英超 | 110 | 550 | 760 | 1120 | 1900 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/5af9b275c4c07ef38f2113e20215c023.png", "anno": "| | 单位(美元)-最小值 | 单位(美元)-Q1 | 单位(美元)-中位数 | 单位(美元)-Q3 | 单位(美元)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 部门1 | 38 | 60 | 80 | 100 | 155 |\n| 部门2 | 62 | 78 | 101 | 159 | 180 |\n| 部门3 | 38 | 60 | 140 | 161 | 190 |\n| 部门4 | 25 | 38 | 78 | 120 | 130 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/762666a0feb844cd9a568f4bc5dc7c01.png", "anno": "| | $ TN/(mg\\cdot L^{-1}) $-最小值 | $ TN/(mg\\cdot L^{-1}) $-Q1 | $ TN/(mg\\cdot L^{-1}) $-中位数 | $ TN/(mg\\cdot L^{-1}) $-Q3 | $ TN/(mg\\cdot L^{-1}) $-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 小雨 | 17 | 23 | 27 | 30 | 38 |\n| 中雨 | 12 | 20 | 25 | 34 | 52 |\n| 大雨 | 10 | 13 | 18 | 23 | 31 |\n| 暴雨 | 6 | 10 | 14 | 25 | 40 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a119d0500613a5a9a8dcb9e8e5777332.png", "anno": "### 高低组呈现水平-桥接型社会资本箱线图\n\n| 自我呈现水平 | 桥接型社会资本-最小值 | 桥接型社会资本-Q1 | 桥接型社会资本-中位数 | 桥接型社会资本-Q3 | 桥接型社会资本-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 低 | 2.0 | 2.9 | 3.2 | 3.6 | 4.0 |\n| 高 | 1.8 | 3.1 | 3.6 | 4.0 | 5.0 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/426f13828b7e3fccc403572ecaf7ace1.png", "anno": "### D\n\n| season | ACE-最小值 | ACE-Q1 | ACE-中位数 | ACE-Q3 | ACE-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Spring | | 47.4 | 50.0 | 50.0 | |\n| Summer | | 43.2 | 49.0 | 49.0 | 51.6 |\n| Autumn | 19.0 | 31.0 | 52.8 | 54.0 | 55.4 |\n| Winter | 6.8 | 7.2 | 9.0 | 9.0 | 10.6 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/391eb822aaa93c6e44a451617386eee6.png", "anno": "| sample | value-最小值 | value-Q1 | value-中位数 | value-Q3 | value-最大值 | \n| --- | --- | --- | --- | --- | --- | \n| sample_1 | | 10 | 13 | 16 | 25 | \n| sample_2 | 2 | 3.5 | 9.5 | 15 | 16 | \n| sample_3 | 13 | 22 | 28.5 | 35 | 43 | \n| sample_4 | 5 | 11.7 | 23 | 37.5 | 54 |\n| sample_5 | 12 | 20 | 32.5 | 42.5 | 45 | ", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a5e5efe639ebe7e31d61195562efeadb.png", "anno": "#### BLUE\n| | Expression-最小值 | Expression-Q1 | Expression-中位数 | Expression-Q3 | Expression-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Gene1 | 4.4 | 5.6 | 6.4 | 6.8 | 8.0 |\n| Gene2 | 3.6 | 4.8 | 6.0 | 6.8 | 8.3 |\n| Gene3 | 4.1 | 5.3 | 5.9 | 6.6 | 8.2 |\n| Gene4 | 3.6 | 5.4 | 6.4 | 7.0 | 8.5 |\n\n#### RED\n| | Expression-最小值 | Expression-Q1 | Expression-中位数 | Expression-Q3 | Expression-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Gene1 | 5.0 | 6.8 | 7.9 | 8.7 | 9.8 |\n| Gene2 | 5.5 | 6.4 | 7.5 | 8.3 | 10.5 |\n| Gene3 | 5.6 | 7.0 | 7.5 | 8.1 | 9.2 |\n| Gene4 | 5.5 | 7.1 | 7.7 | 8.4 | 9.6 |\n\n#### YELLOW\n| | Expression-最小值 | Expression-Q1 | Expression-中位数 | Expression-Q3 | Expression-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Gene1 | 4.5 | 8.0 | 10.0 | 10.5 | 12.3 |\n| Gene2 | 5.7 | 8.2 | 9.6 | 10.1 | 10.9 |\n| Gene3 | 6.9 | 8.9 | 10.0 | 10.5 | 11.3 |\n| Gene4 | 5.6 | 8.4 | 9.7 | 10.5 | 12.3 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/2ce9e29d444f26eab6b46cb14e20c9b0.png", "anno": "| label | temperature-最小值 | temperature-Q1 | temperature-中位数 | temperature-Q3 | temperature-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| apple | 21 | 22 | 22.5 | 23.4 | 24 |\n| coconut | 25 | 26.3 | 27.5 | 28.7 | 30 |\n| grapes | 9 | 16 | 23 | 31 | 42 |\n| maize | 18 | 19.5 | 23 | 25 | 26.5 |\n| mango | 27 | 29 | | 28 | 29 |\n| orange | 10 | 17 | 23 | 29.5 | 35 |\n| rice | 20 | 22 | 23.7 | 25.5 | 26.7 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1b5f7992788b86c6b96518ac872fc992.png", "anno": "### Rolling 1-year Historical Return Window Ranges\n| | 1 year % returns-最小值 | 1 year % returns-Q1 | 1 year % returns-中位数 | 1 year % returns-Q3 | 1 year % returns-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| VTI | -27 | 1 | 12 | 20 | 46 |\n| VEA | -53 | -13 | 8 | 21 | 69 |\n| VWO | -52 | -5 | 18 | 29 | 78 |\n| VNQ | -45 | -1 | 17 | 30 | 75 |\n| BND | -1 | 5 | 7 | 9 | 13 |\n| TIP | -9 | 2 | 8 | 12 | 22 |\n| JNK | -12 | 8 | 13 | 17 | 38 |\n| BWX | -11 | -1 | 4 | 9 | 18 |\n| EMLC | -9 | -2 | 4 | 12 | 17 |\n| DJP | -52 | -13 | 0 | 19 | 40 |\n| WIP | -15 | 1 | 8 | 13 | 30 |\n| PICB | -7 | 1 | 9 | 12 | 22 |\n| HYXU | 12 | 17 | 21 | 23 | 28 |\n| VNQI | -16 | -5 | 20 | 29 | 49 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9a34099a3338780f80add84db7425c86.png", "anno": "### Expression Level of 3 Types of Cells\n#### Cell Type\n\n| Cell Type | Counts/(log)-最小值 | Counts/(log)-Q1 | Counts/(log)-中位数 | Counts/(log)-Q3 | Counts/(log)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| CellType1 | 5.75 | 6.51 | 7.03 | 7.61 | 9.23 |\n| CellType2 | 5.73 | 6.55 | 7.15 | 7.78 | 9.31 |\n| CellType3 | 5.73 | 6.91 | 7.61 | 8.33 | 9.45 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/af2531e0e1d43e533506a3856bc640f5.png", "anno": "### treatment\n#### ambient\n| treatment | BAI2013-最小值 | BAI2013-Q1 | BAI2013-中位数 | BAI2013-Q3 | BAI2013-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| a | -1.7 | -0.6 | 0.1 | 0.8 | 2.1 |\n| b | -2.8 | -0.9 | -0.1 | 1.0 | 2.3 |\n| c | -2.0 | -0.7 | 0 | 0.8 | 2.3 |\n\n#### elevated\n| treatment | BAI2013-最小值 | BAI2013-Q1 | BAI2013-中位数 | BAI2013-Q3 | BAI2013-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| a | -1.8 | -0.7 | -0.1 | 0.7 | 2.1 |\n| b | -1.8 | -0.5 | -0.2 | 0.4 | 1.7 |\n| c | -1.8 | -0.6 | 0.1 | 0.6 | 2.0 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/15d59a069080a697626601dc1e69cdb7.png", "anno": "### Protein expression of S100P in Breast cancer\n| CPTAC samples | Z-value-最小值 | Z-value-Q1 | Z-value-中位数 | Z-value-Q3 | Z-value-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Normal (n=18) | -1.3 | -0.6 | 0.1 | 0.5 | 1.6 |\n| WNT Pathway-altered (n=44) | -2.1 | -0.7 | -0.1 | 0.9 | 2.1 |\n| Others (n=70) | -1.9 | -0.7 | -0.2 | 0.2 | 1.3 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1cf756919e90914335c423cc5c8120e4.png", "anno": "| body-style | price-最小值 | price-Q1 | price-中位数 | price-Q3 | price-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| convertible | 11600 | 14000 | 17000 | 31000 | 37000 |\n| hatchback | 5500 | 6600 | 8700 | 12000 | 20000 |\n| sedan | 5800 | 8200 | 11200 | 18000 | 32000 |\n| wagon | 7000 | 8100 | 11800 | 16000 | 19000 |\n| hardtop | 8200 | 9500 | 20000 | 32500 | 45300 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/64b4addecf4cb6f9d9c6fa90a85b761b.png", "anno": "#### The Red\n| PropertyCode | Total.Extras.Per.GN-最小值 | Total.Extras.Per.GN-Q1 | Total.Extras.Per.GN-中位数 | Total.Extras.Per.GN-Q3 | Total.Extras.Per.GN-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| CDM | 111 | 153 | 220 | 298 | 485 |\n| EBA | 104 | 161 | 210 | 326 | 595 |\n| FRI | 104 | 157 | 222 | 338 | 625 |\n| PCH | 111 | 236 | 372 | 570 | 990 |\n| PLN | 111 | 167 | 260 | 388 | 780 |\n| REC | 111 | 172 | 270 | 361 | 678 |\n| TRO | 104 | 163 | 224 | 343 | 610 |\n| ZIL | 111 | 159 | 234 | 375 | 722 |\n\n#### The Blue\n| PropertyCode | Total.Extras.Per.GN-最小值 | Total.Extras.Per.GN-Q1 | Total.Extras.Per.GN-中位数 | Total.Extras.Per.GN-Q3 | Total.Extras.Per.GN-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| CDM | 104 | 167 | 250 | 385 | 718 |\n| EBA | 104 | 157 | 235 | 413 | 810 |\n| FRI | 111 | 182 | 312 | 500 | 975 |\n| PCH | 111 | 333 | 543 | 730 | 990 |\n| PLN | 111 | 182 | 290 | 475 | 935 |\n| REC | 104 | 197 | 320 | 514 | 990 |\n| TRO | 116 | 194 | 343 | 562 | 970 |\n| ZIL | 111 | 208 | 343 | 530 | 1000 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/0b2c416291a73c0f71e3a8a0af9bc213.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Least Square | 0.02 | 0.2 | 0.3 | 0.4 | 0.7 |\n| direct | 0 | 0.6 | 0.95 | 1.35 | 2.4 |\n| mean-10 | 0.35 | 0.65 | 0.75 | 0.85 | 1.2 |\n| mean-3 | 0.1 | 0.6 | 0.80 | 1.0 | 1.65 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/bdbcbdf415b02a002819325278df99bb.png", "anno": "| Month | Earthquake Magnitude-最小值 | Earthquake Magnitude-Q1 | Earthquake Magnitude-中位数 | Earthquake Magnitude-Q3 | Earthquake Magnitude-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 7.0 | 7.2 | 7.5 | 7.8 | 8.1 |\n| 2 | 6.6 | 7.1 | 7.2 | 7.7 | 8.2 |\n| 3 | 5.8 | 6.7 | 7.6 | 8.1 | 9.2 |\n| 4 | 6.1 | 6.5 | 6.9 | 7.5 | 7.7 |\n| 5 | 5.4 | 7.1 | 7.8 | 8.2 | 9.5 |\n| 6 | 6.4 | 6.8 | 7.4 | 7.7 | 8.4 |\n| 7 | 6.8 | 7.2 | 7.7 | 7.9 | 8.3 |\n| 8 | 6.6 | 6.9 | 7.6 | 7.9 | 8.2 |\n| 9 | 6.7 | 6.9 | 7.6 | 7.8 | 8.3 |\n| 10 | 6.6 | 6.8 | 7.4 | 8.1 | 8.4 |\n| 11 | 6.7 | 7.0 | 7.7 | 7.9 | 9.0 |\n| 12 | 7.4 | 7.6 | 7.8 | 7.85 | 7.9 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/d5d53ecc7b4a4d1c2d810525dbb52ae4.png", "anno": "### Boxplot with Groups\n\n| Group | Value-最小值 | Value-Q1 | Value-中位数 | Value-Q3 | Value-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Group A | -1.6 | -0.6 | -0.1 | 0.5 | 1.8 |\n| Group B | -1.9 | -0.8 | 0 | 0.8 | 2.3 |\n| Group C | -1.96 | -0.5 | 0.05 | 0.7 | 2.15 |\n| Group D | -2.4 | -1.3 | -0.5 | 0.3 | 2.26 |\n| Group E | -2.37 | -0.8 | -0.1 | 0.6 | 2.6 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/bfe8bdbd44250a28a57af1a8535fbf9a.png", "anno": "| Tumor Status | Intergrin Beta 1-最小值 | Intergrin Beta 1-Q1 | Intergrin Beta 1-中位数 | Intergrin Beta 1-Q3 | Intergrin Beta 1-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Non Metastasis | 2 | 8 | 30 | 51 | 91 |\n| Metastasis | 2 | 13 | 46 | 71 | 88 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/2826583b41873d0b028edfa58654d4eb.png", "anno": "### 2015\n\n| | Temperature (F)-最小值 | Temperature (F)-Q1 | Temperature (F)-中位数 | Temperature (F)-Q3 | Temperature (F)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| January | 5 | 15 | 22 | 28 | 39 |\n| February | 3 | 12 | 15 | 18 | 21 |\n| March | 12 | 23 | 29 | 33 | 42 |\n| April | 30 | 39 | 45 | 48 | 54 |\n| May | 49 | 54 | 58 | 62 | 71 |\n| June | 43 | 55 | 61 | 68 | 71 |\n| July | 58 | 66 | 69 | 73 | 78 |\n| August | 62 | 67 | 70 | 73 | 76 |\n| September | 51 | 60 | 63 | 70 | 79 |\n| October | 35 | 46 | 50 | 53 | 61 |\n| November | 28 | 37 | 45 | 50 | 63 |\n| December | 26 | 37 | 41 | 46 | 54 |\n\n### 2016\n\n| | Temperature (F)-最小值 | Temperature (F)-Q1 | Temperature (F)-中位数 | Temperature (F)-Q3 | Temperature (F)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| January | 12 | 21 | 28 | 33 | 43 |\n| February | -3 | 23 | 29 | 42 | 49 |\n| March | 22 | 33 | 38 | 42 | 54 |\n| April | 29 | 39 | 43 | 47 | 55 |\n| May | 41 | 47 | 53 | 60 | 75 |\n| June | 54 | 60 | 62 | 69 | 72 |\n| July | 57 | 64 | 69 | 74 | 80 |\n| August | | | | | |\n| September | | | | | |\n| October | | | | | |\n| November | | | | | |\n| December | | | | | |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/fb8afd1e7e58a1b8da72e6446483b958.png", "anno": "### Car Mileage Data\n| Number of Cylinders | Miles Per Gallon-最小值 | Miles Per Gallon-Q1 | Miles Per Gallon-中位数 | Miles Per Gallon-Q3 | Miles Per Gallon-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 21.4 | 22.7 | 26.1 | 30.4 | 34.0 |\n| 6 | 18.1 | 19.0 | 20.0 | 21.2 | 21.5 |\n| 8 | 13.7 | 14.7 | 15.6 | 16.7 | 19.7 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/556040a572db18855f566b07183deed9.png", "anno": "| Row | Value-最小值 | Value-Q1 | Value-中位数 | Value-Q3 | Value-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 15 | 55 | 74 | 99 |\n| 2 | 7 | 16 | 57 | 73 | 98 |\n| 3 | 4 | 23 | 56 | 71 | 90 |\n| 4 | 3 | 22 | 62 | 72 | 89 |\n| 5 | 2 | 27 | 58 | 77 | 95 |\n| 6 | 18 | 28 | 47 | 78 | 93 |\n| 7 | 5 | 31 | 45 | 85 | 95 |\n| 8 | 6 | 30 | 44 | 83 | 100 |\n| 9 | 10 | 37 | 47 | 82 | 100 |\n| 10 | 11 | 29 | 49 | 81 | 105 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/fb0a71a3f45e25fdc005318cf116e337.png", "anno": "#### hisat2_featureCounts\n\n| | log2count-最小值 | log2count-Q1 | log2count-中位数 | log2count-Q3 | log2count-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| sample1 | 1.0 | 2.0 | 3.3 | 5.5 | 10.3 |\n| sample2 | 1.0 | 2.0 | 3.3 | 5.5 | 10.0 |\n| sample3 | 1.0 | 1.5 | 3.3 | 5.4 | 9.5 |\n| sample4 | 1.0 | 2.0 | 3.5 | 5.6 | 10.0 |\n| sample5 | 1.0 | 1.5 | 3.3 | 5.4 | 10.4 |\n| sample6 | 1.0 | 1.5 | 3.3 | 5.3 | 10.3 |\n| sample7 | 1.0 | 1.5 | 3.3 | 5.3 | 10.3 |\n| sample8 | 1.0 | 2.0 | 3.5 | 5.7 | 10.4 |\n\n#### kallisto\n\n| | log2count-最小值 | log2count-Q1 | log2count-中位数 | log2count-Q3 | log2count-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| sample1 | 0.0 | 2.0 | 3.4 | 5.8 | 10.6 |\n| sample2 | 0.0 | 2.0 | 3.4 | 5.7 | 10.5 |\n| sample3 | 0.0 | 2.0 | 3.3 | 5.6 | 10.2 |\n| sample4 | 0.0 | 2.0 | 3.4 | 5.7 | 10.5 |\n| sample5 | 0.0 | 2.0 | 3.3 | 5.7 | 10.4 |\n| sample6 | 0.0 | 1.3 | 3.3 | 5.7 | 10.1 |\n| sample7 | 0.0 | 2.0 | 3.6 | 5.9 | 10.4 |\n| sample8 | 0.0 | 2.0 | 3.4 | 5.7| 10.2 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/dad93a2699a9f1dac19a0218681974c6.png", "anno": "| Histologic grade | The expression of CDK5R1 Log₂(FPKM+1)-最小值 | The expression of CDK5R1 Log₂(FPKM+1)-Q1 | The expression of CDK5R1 Log₂(FPKM+1)-中位数 | The expression of CDK5R1 Log₂(FPKM+1)-Q3 | The expression of CDK5R1 Log₂(FPKM+1)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| G1&G2 | 0.3 | 2.5 | 4.5 | 6.7 | 12.8 |\n| G3&G4 | 0.4 | 3.1 | 5.8 | 8.9 | 15.8 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/c0b9ce0a6f51bfb78132958c5bcef219.png", "anno": "| | Min | Q1 | Median | Q3 | Max | Mean |\n| --- | --- | --- | --- | --- | --- | --- |\n| Attractiveness | -3 | 0 | 2 | 3 | 3 | 1.1 |\n| Perspicuity | -2 | 1 | 2 | 3 | 3 | 1.38 |\n| Novelty | -3 | -2 | 0 | 2 | 3 | -0.5 |\n| Dependability | -3 | 0 | 2 | 2.75 | 3 | 1.25 |\n| Stimulation | -2 | 1 | 2 | 3 | 3 | 1.7 |\n| Efficiency | -3 | 0 | 1 | 2.25 | 3 | 1.1 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/314c0c42956d752e2ace09f967308562.png", "anno": "### B\n| | Shannon-最小值 | Shannon-Q1 | Shannon-中位数 | Shannon-Q3 | Shannon-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Spring | 3.5 | 3.5 | 3.5 | 3.5 | 3.5 |\n| Summer | 3.2 | 3.2 | 3.3 | 3.3 | 3.48 |\n| Autumn | 2.2 | 3.0 | 3.3 | 3.31 | 3.33 |\n| Winter | 1.6 | 1.7 | 1.7 | 1.8 | 1.83 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a85c59cd1a306f79ac9d0bd0528bf82a.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| X | 2.8 | 4.3 | 4.6 | 5.3 | 6.5 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/06c6cbae603f29b681ef37e862fdec5b.png", "anno": "| | value-最小值 | value-Q1 | value-中位数 | value-Q3 | value-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| sample_1 | 10 | 10 | 13 | 16 | 25 |\n| sample_2 | 3 | 5 | 10 | 15 | 16 |\n| sample_3 | 14 | 22 | 28 | 34 | 42 |\n| sample_4 | 6 | 12 | 23 | 37 | 53|\n| sample_5 | 11 | 20 | 33 | 42 | 45 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/f35cfbc722b29e02961de5cf14e6ff08.png", "anno": "| | Range-最小值 | Range-Q1 | Range-中位数 | Range-Q3 | Range-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Control | 0.1 | 0.2 | 1.2 | 1.8 | 2.1 |\n| Model | 0.1 | 0.1 | 0.1 | 0.2 | 0.2 |\n| Drug1 | 0.1 | 0.4 | 1.0 | 1.7 | 2.0 |\n| Drug2 | 0.3 | 0.4 | 1.3 | 2.1 | 2.2 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ccaf2ea8cca7b92a33ae62a6fa73eace.png", "anno": "### Distributions of height by position for each player in the 2018 FIFA World Cup\n| | Height-最小值 | Height-Q1 | Height-中位数 | Height-Q3 | Height-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Goalkeeper | 5'10\" | 6'0.8\" | 6'2.5\" | 6'3.8\" | 6'7.3\" |\n| Defender | 5'5\" | 5'10.1\" | 6'0.4\" | 6'2\" | 6'7\" |\n| Forward | 5'6\" | 5'9.5\" | 5'11.3\" | 6'0.8\" | 6'5.5\" |\n| Midfielder | 5'4.5\" | 5'8.5\" | 5'10.5\" | 6'0.4\" | 6'5.6\" |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/72a19f6b32e30b61d797f9bd21eda8e0.png", "anno": "| Species | value-最小值 | value-Q1 | value-中位数 | value-Q3 | value-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| setosa | 0.1 | 0.8 | 2.1 | 4.4 | 5.8 |\n| versicolor | 1 | 1.9 | 3.3 | 5 | 7 |\n| virginica | 1.4 | 2.5 | 4.1 | 6 | 7.8 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/8e6b131ab1a4da362034d64286647b0b.png", "anno": "| day | total_bill-最小值 | total_bill-Q1 | total_bill-中位数 | total_bill-Q3 | total_bill-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Thur | 7 | 13 | 16 | 20 | 30 |\n| Fri | 5 | 12 | 15 | 22 | 29 |\n| Sat | 2 | 14 | 18 | 25 | 40 |\n| Sun | 7 | 15 | 20 | 26 | 41 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ef031b69d872d9aa3155283dd7252fa9.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 95.9 | 98.9 | 99.6 | 101.3 | 103.5 |\n| 2 | 96.8 | 99.1 | 100.3 | 101.2 | 103.3 |\n| 3 | 97.3 | 99.0 | 99.9 | 100.8 | 103.1 |\n| 4 | 96.6 | 99.2 | 100.1 | 101.0 | 103.5 |\n| 5 | 97.4 | 99.4 | 100.2 | 100.9 | 102.4 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ad2df42d3431edab1c0084bbf4fe9970.png", "anno": "| Column | Value-最小值 | Value-Q1 | Value-中位数 | Value-Q3 | Value-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 4.5 | 11 | 51 | 86 | 98 |\n| 2 | 5 | 12 | 52 | 87 | 99 |\n| 3 | 0.5 | 13 | 50 | 88 | 101 |\n| 4 | 2 | 14 | 49 | 89 | 96 |\n| 5 | 2.5 | 15 | 50 | 90 | 97 |\n| 6 | 28.5 | 38 | 51 | 61 | 73 |\n| 7 | 30 | 39 | 52 | 62 | 74 |\n| 8 | 26 | 39 | 50 | 63 | 75 |\n| 9 | 26.5 | 40 | 48 | 64 | 72 |\n| 10 | 27.5 | 41 | 49 | 65 | 72 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1930bb999c0800293fa91b663f00fc24.png", "anno": "| | Visual acuity-最小值 | Visual acuity-Q1 | Visual acuity-中位数 | Visual acuity-Q3 | Visual acuity-最大值 | |\n| --- | --- | --- | --- | --- | --- | --- |\n| As | -0.18 | -0.08 | -0.04 | 0.02 | 0.12 | 2mm pupil |\n| To | -0.18 | -0.12 | -0.07 | -0.03 | 0.20 | 2mm pupil |\n| Sp | -0.18 | -0.10 | -0.06 | -0.02 | 0.16 | 2mm pupil |\n| As | -0.12 | -0.08 | 0.00 | 0.04 | 0.20 | 4mm pupil |\n| To | -0.16 | -0.10 | -0.08 | 0.01 | 0.14 | 4mm pupil |\n| Sp | -0.14 | -0.10 | -0.04 | 0.01 | 0.26 | 4mm pupil |\n| As | -0.10 | 0.00 | 0.04 | 0.11 | 0.30 | 6mm pupil |\n| To | -0.18 | -0.09 | -0.06 | 0.00 | 0.20 | 6mm pupil |\n| Sp | -0.18 | -0.08 | -0.04 | 0.02 | 0.22 | 6mm pupil |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/751dc13e41b26eb6ccc2c9bf611fb5c8.png", "anno": "| | Accuracy-最小值 | Accuracy-Q1 | Accuracy-中位数 | Accuracy-Q3 | Accuracy-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Proposed Method | 0.884 | 0.923 | 0.939 | 0.957 | 0.967 |\n| Active Contour | 0.818 | 0.876 | 0.910 | 0.922 | 0.948 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a14f1809b1f280286d8658bd91b703ad.png", "anno": "### Boxplot of hub gene\n\n| Gene | group | Expression-最小值 | Expression-Q1 | Expression-中位数 | Expression-Q3 | Expression-最大值 | \n| --- | --- | --- | --- | --- | --- | --- |\n| CCL14 | Normal | 5.3 | 5.8 | 5.9 | 6.0 | 6.2 |\n| CCL14 | TNBC | 3.4 | 4.35 | 4.8 | 5.2 | 5.9 |\n| CCL16 | Normal | 4.05 | 4.6 | 4.8 | 5.0 | 5.4 | \n| CCL16 | TNBC | 2.7 | 2.73 | 3.38 | 3.95 | 5.12 | \n| HBA1 | Normal | 2.75 | 3.95 | 4.55 | 5.1 | 6.0 | \n| HBA1 | TNBC | | 0 | | 3.5 | 5.2 | \n| TUBB3 | Normal | 2.75 | 3.9 | 4.5 | 4.85 | 5.55 | \n| TUBB3 | TNBC | 4.9 | 5.5 | 5.7 | 5.9 | 6.4 | ", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9b85511244b3ac236a4bb840f2fab357.png", "anno": "### Dinner\n\n| day | total_bill-Min | total_bill-Q1 | total_bill-Median | total_bill-Q3 | total_bill-Max |\n| --- | --- | --- | --- | --- | --- |\n| Sun | 7.5 | 15 | 19.7 | 25.6 | 41 |\n| Sat | 4 | 14 | 18 | 25 | 39.5 |\n| Thur | | | | | |\n| Fri | 6 | 12 | 18.5 | 24.5 | 40.5 |\n\n### Lunch\n\n| day | total_bill-Min | total_bill-Q1 | total_bill-Median | total_bill-Q3 | total_bill-Max |\n| --- | --- | --- | --- | --- | --- |\n| Sun | | | | | |\n| Sat | | | | | |\n| Thur | 7.5 | 12.5 | 16.5 | 20.5 | 30 |\n| Fri | 8.5 | 11 | 13.6 | 15 | 16.5 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9f42db38bbb641d9b2920db3a1fdf757.png", "anno": "| | Value-最小值 | Value-Q1 | Value-中位数 | Value-Q3 | Value-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Group1 | 6 | 8 | 10.5 | 12 | 13.5 |\n| Group2 | 7.1 | 9.8 | 11.5 | 13 | 14.8 |\n| Group3 | 12 | 13.2 | 15.1 | 16.6 | 18.3 |\n| Group4 | 15 | 17.5 | 18.1 | 19.9 | 22 |\n| Group5 | 16 | 17.3 | 18.8 | 21 | 23 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/6517ab98a7e5d507950ab55f40a90656.png", "anno": "| | Richness-最小值 | Richness-Q1 | Richness-中位数 | Richness-Q3 | Richness-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Spring | 41 | 45 | 45 | 49 | |\n| Summer | | 30 | 40 | 40 | 48 |\n| Autumn | 17 | 25 | 44 | 48 | 49 |\n| Winter | 8 | 9 | 10 | 10 | 10.5 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9d54e1c29dc0cb44a8b1d4e529efc892.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| sepal_length | 4.4 | 5.2 | 6.1 | 6.7 | 8.5 |\n| sepal_width | 2.2 | 2.9 | 3.1 | 3.4 | 4.1 |\n| petal_length | 1.0 | 1.6 | 4.4 | 5.1 | 7.0 |\n| petal_width | 0.1 | 0.3 | 1.3 | 1.8 | 2.5 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/e58ce9b82e59ca60fcbb4c1eaeede918.png", "anno": "| day | tip_pct-最小值 | tip_pct-Q1 | tip_pct-中位数 | tip_pct-Q3 | tip_pct-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Sun | 0.06 | 0.13 | 0.19 | 0.22 | 0.33 |\n| Sat | 0.02 | 0.14 | 0.18 | 0.23 | 0.30 |\n| Thur | 0.08 | 0.16 | 0.18 | 0.23 | 0.31 |\n| Fri | 0.11 | 0.15 | 0.18 | 0.24 | 0.36 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/655da4ec8f6ccd297de1fd2ca2fd2b1f.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 0.0 | 2.2 | 2.9 | 3.9 | 6.3 |\n| 4 | 2.4 | 4.3 | 4.9 | 5.7 | 7.6 |\n| 6 | 0.8 | 2.7 | 3.8 | 4.4 | 6.4 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/30e0adc4154a21a7c169208d959db236.png", "anno": "| | time(s)-最小值 | time(s)-Q1 | time(s)-中位数 | time(s)-Q3 | time(s)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| List 1 | 6.0 | 8.0 | 9.5 | 10.4 | 11.1 |\n| 2epochs List 1 | 7.0 | 9.5 | 10.0 | 10.8 | 12.0 |\n| 3epochs List 1 | 14.3 | 18.5 | 20.5 | 21.2 | 25.3 |\n| List 2 | 6.5 | 8.5 | 9.0 | 9.2 | 10.0 |\n| 2epochs List 2 | 7.3 | 9.0 | 9.4 | 11.0 | 11.6 |\n| 3epochs List 2 | 11.0 | 14.5 | 15.7 | 18.5 | 21.5 |\n| List 3 | 5.7 | 8.5 | 8.9 | 9.8 | 10.8 |\n| 2epochs List 3 | 6.0 | 8.7 | 9.0 | 9.8 | 11.0 |\n| 3epochs List 3 | 9.0 | 11.5 | 13.5 | 17.0 | 18.5 |\n| List 4 | 7.0 | 9.2 | 9.3 | 9.7 | 11.0 |\n| 2epochs List 4 | 7.3 | 9.3 | 9.3 | 9.7 | 11.3 |\n| 3epochs List 4 | 7.6 | 8.2 | 8.3 | 9.1 | 12.5 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/e5be1ae90eaea672d6cc7b65d23ad848.png", "anno": "#### Proposed\n\n| Elevation (m) | Soil moisture ($ m^{3}/m^{3} $)-最小值 | Soil moisture ($ m^{3}/m^{3} $)-Q1 | Soil moisture ($ m^{3}/m^{3} $)-中位数 | Soil moisture ($ m^{3}/m^{3} $)-Q3 | Soil moisture ($ m^{3}/m^{3} $)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| ＜1500 | 0.09 | 0.14 | 0.17 | 0.20 | 0.25 |\n| 1500-2000 | 0.08 | 0.15 | 0.18 | 0.21 | 0.26 |\n| 2000-2500 | 0.07 | 0.14 | 0.17 | 0.20 | 0.26 |\n| 2500-3000 | 0.08 | 0.15 | 0.18 | 0.21 | 0.27 |\n| 3000-3500 | 0.09 | 0.16 | 0.19 | 0.22 | 0.28 |\n| ＞3000 | 0.10 | 0.17 | 0.20 | 0.23 | 0.29 |\n\n#### MSR\n\n| Elevation (m) | Soil moisture ($ m^{3}/m^{3} $)-最小值 | Soil moisture ($ m^{3}/m^{3} $)-Q1 | Soil moisture ($ m^{3}/m^{3} $)-中位数 | Soil moisture ($ m^{3}/m^{3} $)-Q3 | Soil moisture ($ m^{3}/m^{3} $)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| ＜1500 | 0.11 | 0.14 | 0.17 | 0.18 | 0.22 |\n| 1500-2000 | 0.11 | 0.14 | 0.17 | 0.18 | 0.22 |\n| 2000-2500 | 0.11 | 0.16 | 0.18 | 0.20 | 0.24 |\n| 2500-3000 | 0.10 | 0.17 | 0.19 | 0.22 | 0.28 |\n| 3000-3500 | 0.09| 0.18 | 0.21 | 0.24 | 0.33 |\n| ＞3000 | 0.10 | 0.17 | 0.22 | 0.26 | 0.29 |\n\n#### WEN\n| Elevation (m) | Soil moisture ($ m^{3}/m^{3} $)-最小值 | Soil moisture ($ m^{3}/m^{3} $)-Q1 | Soil moisture ($ m^{3}/m^{3} $)-中位数 | Soil moisture ($ m^{3}/m^{3} $)-Q3 | Soil moisture ($ m^{3}/m^{3} $)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| ＜1500 | 0.06 | 0.14 | 0.17 | 0.21 | 0.28 |\n| 1500-2000 | 0.05 | 0.14 | 0.18 | 0.21 | 0.29 |\n| 2000-2500 | 0.04 | 0.13 | 0.17 | 0.20 | 0.28 |\n| 2500-3000 | 0.04 | 0.14 | 0.19 | 0.22 | 0.32 |\n| 3000-3500 | 0.05 | 0.16 | 0.22 | 0.26 | 0.38 |\n| ＞3000 | 0.03 | 0.18 | 0.24 | 0.29 | 0.45 |\n\n#### SMAP-HB\n| Elevation (m) | Soil moisture ($ m^{3}/m^{3} $)-最小值 | Soil moisture ($ m^{3}/m^{3} $)-Q1 | Soil moisture ($ m^{3}/m^{3} $)-中位数 | Soil moisture ($ m^{3}/m^{3} $)-Q3 | Soil moisture ($ m^{3}/m^{3} $)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| ＜1500 | -0.02 | 0.06 | 0.10 | 0.12 | 0.20 |\n| 1500-2000 | -0.02 | 0.06 | 0.10 | 0.12 | 0.20 | \n| 2000-2500 | 0.01 | 0.07 | 0.11 | 0.14 | 0.20 |\n| 2500-3000 | 0.02 | 0.09 | 0.12 | 0.15 | 0.22 |\n| 3000-3500 | 0.02 | 0.10 | 0.13 | 0.17 | 0.24 |\n| ＞3000 | 0.05 | 0.12 | 0.14 | 0.18 | 0.24 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/b07a902eea607087b0e0b4cd662a02fb.png", "anno": "#### RED\n| PropertyCode | Total.Extras.Per.GN-最小值 | Total.Extras.Per.GN-Q1 | Total.Extras.Per.GN-中位数 | Total.Extras.Per.GN-Q3 | Total.Extras.Per.GN-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| CDM | 100 | 138 | 210 | 280 | 475 |\n| EBA | 100 | 150 | 210 | 330 | 585 |\n| FRI | 100 | 139 | 210 | 340 | 610 |\n| PCH | 100 | 225 | 355 | 585 | 980 |\n| PLN | 100 | 150 | 245 | 405 | 780 |\n| REC| 100 | 162 | 263 | 370 | 670 |\n| TRO | 100 | 152 | 210 | 345 | 600 |\n| ZIL | 100 | 150 | 220 | 380 | 720 |\n\n#### BLUE\n| PropertyCode | Total.Extras.Per.GN-最小值 | Total.Extras.Per.GN-Q1 | Total.Extras.Per.GN-中位数 | Total.Extras.Per.GN-Q3 | Total.Extras.Per.GN-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| CDM | 100 | 150 | 250 | 385 | 710 |\n| EBA | 100 | 140 | 230 | 405 | 800 |\n| FRI | 100 | 162 | 300 | 490 | 980 |\n| PCH | 100 | 325 | 525 | 735 | 990 |\n| PLN | 100 | 165 | 275 | 475 | 950 |\n| REC | 100 | 180 | 320 | 505 | 1000 |\n| TRO | 100 | 181 | 335 | 560 | 970 |\n| ZIL | 100 | 200 | 335 | 535 | 1000 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/30b331051347de462c06c2ce538ce30d.png", "anno": "| | First-survived | Second-survived | Third-survived |\n| --- | --- | --- | --- |\n| male | 0.37 ± 0.48 | 0.15 ± 0.36 | 0.13 ± 0.34 |\n| female | 0.96 ± 0.17 | 0.92 ± 0.27 | 0.50 ± 0.50 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/78e007c6b1c121ba74e411fd2b841b2a.png", "anno": "| Team | Scores-最小值 | Scores-Q1 | Scores-中位数 | Scores-Q3 | Scores-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Dragons | 71 | 82 | 89 | 97.5 | 106 |\n| Firebirds | 69 | 77 | 82 | 86.5 | 95 |\n| Serpents | 71 | 84 | 87 | 93 | 106 |\n| Snappers | 78 | 86 | 90 | 98 | 109 |\n| Tigers | 73 | 82 | 87 | 94 | 104 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/70ae4d9095351b1d053593948874f111.png", "anno": "### Boxplot of hub gene\n#### Normal\n\n| | Expression-最小值 | Expression-Q1 | Expression-中位数 | Expression-Q3 | Expression-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| CCL14 | 5.5 | 5.8 | 5.9 | 6.0 | 6.2 |\n| CCL16 | 4.1 | 4.6 | 4.9 | 5.0 | 5.4 |\n| HBA1 | 2.9 | 4.1 | 4.7 | 5.2 | 6.1 |\n| TUBB3 | 2.9 | 4.1 | 4.7 | 5.0 | 5.7 |\n\n#### TNBC\n\n| | Expression-最小值 | Expression-Q1 | Expression-中位数 | Expression-Q3 | Expression-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| CCL14 | 3.4 | 4.3 | 4.9 | 5.1 | 5.9 |\n| CCL16 | 2.7 | 2.8 | 3.5 | 4.0 | 5.2 |\n| HBA1 | 0 | 0 | 0 | 3.7 | 5.3 |\n| TUBB3 | 5.2 | 5.7 | 5.9 | 6.1 | 6.9 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/00fa763991d30307ddd9bc9dff894a2c.png", "anno": "箱线图1(0,0),(0,0)\n| label | temperature-最小值 | temperature-Q1 | temperature-中位数 | temperature-Q3 | temperature-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| apple | 21.5 | 22.5 | 23.0 | 23.5 | 24.0 |\n| coconut | 24.8 | 26.1 | 27.4 | 28.7 | 30.0 |\n| grapes | 9.0 | 16.0 | 23.0 | 31.0 | 42.0 |\n| maize | 18.0 | 20.0 | 23.0 | 25.0 | 26.5 |\n| mango | 27.0 | 28.5 | 31.0 | 33.5 | 36.0 |\n| orange | 10.0 | 17.0 | 23.0 | 29.7 | 35.0 |\n| rice | 20.0 | 22.0 | 24.0 | 25.5 | 27.0 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/b719df29a5b6f3041511647ff19783b7.png", "anno": "| Month | Earthquake Magnitude-最小值 | Earthquake Magnitude-Q1 | Earthquake Magnitude-中位数 | Earthquake Magnitude-Q3 | Earthquake Magnitude-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Jan | 7.0 | 7.1 | 7.5 | 7.85 | 8.1 |\n| Feb | 6.6 | 7.05 | 7.2 | 7.65 | 8.2 |\n| Mar | 5.8 | 6.7 | 7.55 | 8.1 | 9.2 |\n| Apr | 6.1 | 6.5 | 6.95 | 7.5 | 7.65 |\n| May | 5.5 | 7.05 | 7.9 | 8.15 | 9.5 |\n| Jun | 6.5 | 6.8 | 7.5 | 7.65 | 8.4 |\n| Jul | 6.9 | 7.2 | 7.65 | 7.85 | 8.25 |\n| Aug | 6.6 | 7.0 | 7.55 | 7.9 | 8.15 |\n| Sep | 6.8 | 7.0 | 7.55 | 7.8 | 8.25 |\n| Oct | 6.7 | 6.8 | 7.4 | 8.05 | 8.45 |\n| Nov | 6.8 | 7.05 | 7.65 | 7.85 | 8.95 |\n| Dec | 7.5 | 7.6 | 7.8 | 7.8 | 7.85 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/db802b68f97d2daeb386100983697c57.png", "anno": "#### BAL\n| | Propidium iodide lymphocytes (%)-最小值 | Propidium iodide lymphocytes (%)-Q1 | Propidium iodide lymphocytes (%)-中位数 | Propidium iodide lymphocytes (%)-Q3 | Propidium iodide lymphocytes (%)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Baseline | 0.0 | 0.2 | 0.3 | 0.6 | 1.15 |\n| Intraoperatory | 0.1 | 0.2 | 0.4 | 0.5 | 0.8 |\n| 2 hs postoperative | | 0.1 | 0.2 | 0.4 | 0.8 |\n\n#### TIVA\n| | Propidium iodide lymphocytes (%)-最小值 | Propidium iodide lymphocytes (%)-Q1 | Propidium iodide lymphocytes (%)-中位数 | Propidium iodide lymphocytes (%)-Q3 | Propidium iodide lymphocytes (%)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Baseline | 0.1 | 0.2 | 0.3 | 0.45 | 0.7 |\n| Intraoperatory | 0.1 | 0.2 | 0.3 | 0.4 | 0.7 |\n| 2 hs postoperative | 0.1 | 0.22 | 0.3 | 0.4 | 0.5 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/654ab6b23266c551e0154957d1f9649d.png", "anno": "| day | time |total_bill-最小值 | total_bill-Q1 | total_bill- 中位数 | total_bill-Q3 | total_bill- 最大值 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Sun | Dinner | 8 | 15 | 20 | 26 | 40.5 |\n| Sat | Dinner | 3.5 | 14 | 18.5 | 15 | 39.5 |\n| Thur | Dinner | 19 | 19 | 19 | 19 | 19 |\n| Thur | Lunch | 7.5 | 12.3 | 16 | 20.3 | 30 |\n| Fri | Dinner | 3.5 | 14 | 18.5 | 24 | 40.5 |\n| Fri | Lunch | 8 | 10.8 | 13 | 14.3 | 16 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/61c8f556b95008c707a6d2e830444086.png", "anno": "| group | COD-最小值 | COD-Q1 | COD-中位数 | COD-Q3 | COD-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| A | 0.85 | 1.05 | 1.50 | 1.70 | 2.10 |\n| B | 0.60 | 0.95 | 1.10 | 1.74 | 2.20 |\n| C | 0.55 | 0.90 | 0.98 | 1.15 | 1.45 |\n| D | 0.55 | 0.72 | 0.82 | 0.95 | 1.13 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/97834565815706b1f185c1bfe83e39c0.png", "anno": "### VIQ Scores for males & females\n#### Figure 2(b): Teaching episode two\n| | VIQ Scores-最小值 | VIQ Scores-Q1 | VIQ Scores-中位数 | VIQ Scores-Q3 | VIQ Scores-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| males | 78 | 95 | 110 | 144 | 150 |\n| females | 72 | 90 | 114 | 128 | 135 |", "chart_type": "箱线图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/3cef008dab16e562b5f3dda70e3fedf2.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 英语 | 70 | 76 | 84 | 89 | 97 |\n| 经济数学 | 52 | 64 | 75 | 80 | 95 |\n| 西方经济学 | 66 | 79 | 83 | 90 | 98 |\n| 市场营销学 | 70 | 75 | 81 | 90 | 95 |\n| 财务管理 | 63 | 71 | 77 | 80 | 91 |\n| 基础科学 | 67 | 72 | 76 | 86 | 96 |\n| 统计学 | 57 | 72 | 76 | 87 | 98 |\n| 计算机应用基础 | 66 | 78 | | 87 | 94 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b8bfd91478156bd21f50324553601a43.png", "anno": "### 不同年级语文作文得分箱线图\n\n| 年级 | 作文得分(分)-最小值 | 作文得分(分)-Q1 | 作文得分(分)-中位数 | 作文得分(分)-Q3 | 作文得分(分)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 小学 | 14 | 28 | 36 | 56 | 70 |\n| 初中 | 8 | 20 | 38 | 50 | 68 |\n| 高中 | 2 | 6 | 25 | 40 | 53 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/ee0245410f6791145866c15987e7aa35.png", "anno": "| | 英语四级分数-最小值 | 英语四级分数-Q1 | 英语四级分数-中位数 | 英语四级分数-Q3 | 英语四级分数-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 英语专业 | 0.0 | 0.17 | 0.35 | 0.6 | 0.78 |\n| 计算机专业 | 0.1 | 0.27 | 0.56 | 0.76 | 0.92 |\n| 中文专业 | 0.16 | 0.32 | 0.7 | 0.78 | 0.92 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/dd269c9044d200543df68466abdd25c7.png", "anno": "### 不同品牌汽车油耗曲线图\n\n| | 油耗(L/100km)-最小值 | 油耗(L/100km)-Q1 | 油耗(L/100km)-中位数 | 油耗(L/100km)-Q3 | 油耗(L/100km)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 品牌A | 8 | 25 | 40 | 56 | 75 |\n| 品牌B | 6 | 12 | 28 | 44 | 58 |\n| 品牌C | 16 | 32 | 60 | 68 | 82 |\n| 品牌D | 14 | 30 | 70 | 84 | 100 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/76658c92da66d51ffa60842b26f268b8.png", "anno": "### 不同专业毕业生起薪箱线图\n\n| 专业 | 起薪（月/万元）-最小值 | 起薪（月/万元）-Q1 | 起薪（月/万元）-中位数 | 起薪（月/万元）-Q3 | 起薪（月/万元）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 计算机科学 | 0.42 | 0.58 | 0.80 | 0.96 | 1.05 |\n| 汉语言文学 | 0.10 | 0.20 | 0.34 | 0.55 | 0.69 |\n| 机械工程 | 0.22 | 0.39 | 0.55 | 0.70 | 0.83 |\n| 经济学 | 0.41 | 0.60 | 0.80 | 0.95 | 1.10 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/ca48c928f52b1b821e60df11e01320c0.png", "anno": "### 不同星级酒店入住价格箱线图\n| | 入住价格(元/晚)-最小值 | 入住价格(元/晚)-Q1 | 入住价格(元/晚)-中位数 | 入住价格(元/晚)-Q3 | 入住价格(元/晚)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1星 | 20 | 50 | 90 | 140 | 180 |\n| 2星 | 30 | 90 | 165 | 210 | 260 |\n| 3星 | 90 | 140 | 200 | 240 | 300 |\n| 4星 | 130 | 195 | 290 | 320 | 385 |\n| 5星 | 220 | 280 | 380 | 410 | 450 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/4f544984b508e307e4fd7f7a1acaf424.png", "anno": "### 某班级学生分数情况、\n\n| | 单位:分-最小值 | 单位:分-Q1 | 单位:分-中位数 | 单位:分-Q3 | 单位:分-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 美术 | 66 | 72 | 80 | 94 | 100 |\n| 音乐 | 69 | 80 | 89 | 96 | 103 |\n| 体育 | 68 | 78 | 86 | 93 | 100 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/987b96a0ee841048335d32229b6d437c.png", "anno": "| 变量 | 值-最小值 | 值-Q1 | 值-中位数 | 值-Q3 | 值-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| a | -2.6 | -1 | -0.3 | 1 | 2.4 |\n| b | -2 | -0.8 | 0 | 1.4 | 2.5 |\n| c | -2.3 | -0.6 | 0.2 | 1.2 | 2.7 |\n| d | -1.9 | -0.2 | 0.3 | 1.2 | 3 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/8e43eae104e08bec75c1ebcb117df528.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 数据1 | -0.81 | -0.32 | 0.16 | 0.84 | 1.48 |\n| 数据2 | -0.31 | -0.03 | 0.57 | 0.96 | 1.39 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/617825fec5673d6c11743236766332e2.png", "anno": "### 汽车油耗数据\n\n| 气缸数 | 每加仑英里数-最小值 | 每加仑英里数-Q1 | 每加仑英里数-中位数 | 每加仑英里数-Q3 | 每加仑英里数-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 21 | 22.5 | 27 | 31.5 | 34.8 |\n| 6 | 17 | 18 | 20 | 21.3 | 22.5 |\n| 8 | 12 | 13 | 15 | 17 | 19.2 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/de8b32e7598fc147c94c62767dab1691.png", "anno": "### 不同段位手游玩家每周在线时长箱线图\n| | 每周在线玩家时长（小时）-最小值 | 每周在线玩家时长（小时）-Q1 | 每周在线玩家时长（小时）-中位数 | 每周在线玩家时长（小时）-Q3 | 每周在线玩家时长（小时）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 青铜 | 7 | 11 | 13 | 18.3 | 21 |\n| 白银 | 7.5 | 11.8 | 15.5 | 20 | 22 |\n| 黄金 | 10.8 | 14.5 | 17.8 | 21 | 22.4 |\n| 铂金 | 5.5 | 9 | 12 | 16.4 | 19 |\n| 钻石 | 2 | 4.3 | 8.7 | 13 | 16.4 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/d49f59dc78880cd530df9143d4efcc85.png", "anno": "### 不同学校层级的初试成绩公布\n| 学校类型 | 初试成绩-最小值 | 初试成绩-Q1 | 初试成绩-中位数 | 初试成绩-Q3 | 初试成绩-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 211 | 346 | 356 | 369 | 380 | 392 |\n| 985 | 340 | 383 | 392 | 408 | 418 |\n| 普本 | 336 | 372 | 394 | 404 | 419 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/f5940feba060957d3c73008c25609f57.png", "anno": "| | 2022年7月小时平均气温（℃）-最小值 | 2022年7月小时平均气温（℃）-Q1 | 2022年7月小时平均气温（℃）-中位数 | 2022年7月小时平均气温（℃）-Q3 | 2022年7月小时平均气温（℃）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 广州 | 23.5 | 26.5 | 28.1 | 32.5 | 38.7 |\n| 武汉 | 23 | 27.5 | 31 | 34 | 37.1 |\n| 北京 | 20 | 25 | 27.5 | 31 | 37.7 |\n| 杭州 | 24 | 29 | 31.5 | 34 | 40 |\n| 乌鲁木齐 | 17 | 24 | 25.5 | 29 | 34.5 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/14d24003ccf8318775d85263bc3ad1f4.png", "anno": "### 各城市外卖配送时长箱线图\n\n| | 配送时长(分钟)-最小值 | 配送时长(分钟)-Q1 | 配送时长(分钟)-中位数 | 配送时长(分钟)-Q3 | 配送时长(分钟)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 北京 | 3 | 7 | 10.5 | 13.5 | 18 |\n| 上海 | 4.5 | 9 | 13 | 17 | 27 |\n| 广州 | 3 | 9.5 | 15.5 | 21.5 | 31.5 |\n| 深圳 | 2 | 6 | 8 | 13 | 24 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/29ddb6fdddb86dad44a93cb97d550046.png", "anno": "### 四款笔记本电脑待机时长箱线图\n\n| | 待机时长（小时）-最小值 | 待机时长（小时）-Q1 | 待机时长（小时）-中位数 | 待机时长（小时）-Q3 | 待机时长（小时）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 笔记本A | 12 | 27 | 44 | 51 | 71 |\n| 笔记本B | 22 | 32 | 54 | 64 | 76 |\n| 笔记本C | 6 | 14 | 24 | 38 | 50 |\n| 笔记本D | 9 | 20 | 26 | 43 | 55 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/122e82a26e8f8f02021d78aaae411bf1.png", "anno": "### 2017年各季度各分公司销售额\n\n| | 销售额（元）-最小值 | 销售额（元）-Q1 | 销售额（元）-中位数 | 销售额（元）-Q3 | 销售额（元）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 第1季度 | 4600 | 8500 | 9500 | 12800 | 18400 |\n| 第2季度 | 5000 | 6500 | 8000 | 12400 | 17300 |\n| 第3季度 | 2000 | 5200 | 6000 | 9900 | 12900 |\n| 第4季度 | 4500 | 6000 | 7500 | 10000 | 12700 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c0dcd1ac488f11ac0b8aaf5256fcdb6b.png", "anno": "### 各城市共享单车日均骑行距离箱线图\n\n| 城市 | 日均骑行距离（公里）-最小值 | 日均骑行距离（公里）-Q1 | 日均骑行距离（公里）-中位数 | 日均骑行距离（公里）-Q3 | 日均骑行距离（公里）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 四川 | 3.5 | 6.8 | 12.5 | 17.5 | 19.5 |\n| 宁夏 | 1.5 | 4 | 9.2 | 15 | 18 |\n| 天津 | 2.3 | 5 | 8.1 | 11.7 | 15 |\n| 广州 | 3 | 5.5 | 7.1 | 10.1 | 13.2 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c4b71b1c83941fb47e3b3db5e190dcce.png", "anno": "### 不同类型快递配送时效箱线图\n\n| | 配送时效（小时）-最小值 | 配送时效（小时）-Q1 | 配送时效（小时）-中位数 | 配送时效（小时）-Q3 | 配送时效（小时）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 顺丰 | 6 | 15 | 25 | 34 | 48 |\n| 中通 | 8 | 17 | 27 | 38 | 50 |\n| 圆通 | 10 | 25 | 40 | 58 | 68 |\n| 韵达 | 25 | 38 | 52 | 68 | 74 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/ce3eaf1ad29802150e2b78dda2304390.png", "anno": "### 按车辆来源划分的每加仑英里数（油耗表现）\n| 来源国家 | 每加仑英里数(MPG)-最小值 | 每加仑英里数(MPG)-Q1 | 每加仑英里数(MPG)-中位数 | 每加仑英里数(MPG)-Q3 | 每加仑英里数(MPG)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 美国 | 7.5 | 15 | 20.8 | 26.7 | 38 |\n| 法国 | 19.2 | 20.8 | 25 | 28.7 | 30 |\n| 日本 | 18.4 | 27 | 32.3 | 38 | 39 |\n| 德国 | 16 | 24.2 | 33.7 | 33.7 | 37.5 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/bd56e07a010243836a6e170a8e9fbae0.png", "anno": "### 不同班级数学成绩分布箱线图\n\n| | 数学成绩（分）-最小值 | 数学成绩（分）-Q1 | 数学成绩（分）-中位数 | 数学成绩（分）-Q3 | 数学成绩（分）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 一班 | 31 | 47 | 59 | 73 | 100 |\n| 二班 | 28 | 46 | 59 | 74 | 100 |\n| 三班 | 30 | 45 | 59 | 77 | 100 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/8a37fa76581f4e2e1e20b8fda764de8f.png", "anno": "### 水平箱线图\n\n| | 数值-最小值 | 数值-Q1 | 数值-中位数 | 数值-Q3 | 数值-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 数据 | -2.6 | -0.7 | | 0.7 | 2.1 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/1deb94974937d67b84db5ef24c49c209.png", "anno": "### 中位值不同的数组\n\n| | 数据-最小值 | 数据-Q1 | 数据-中位数 | 数据-Q3 | 数据-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| A | 3 | 4 | 5.5 | 6 | 7 |\n| B | 1.5 | 2.5 | 3 | 4 | 5 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/f6c20818bc9347554c8e88168fef7399.png", "anno": "### 图3 不同联赛球员身价对比图\n\n| | 身价-最小值 | 身价-Q1 | 身价-中位数 | 身价-Q3 | 身价-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 法甲 | 25 | 525 | 675 | 875 | 1125 |\n| 西甲 | 0 | 500 | 750 | 950 | 1275 |\n| 意甲 | -25 | 750 | 850 | 1075 | 1350 |\n| 德甲 | -75 | 550 | 750 | 900 | 1225 |\n| 英超 | -25 | 400 | 550 | 675 | 1200 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/be0e4e992cad0257c9d18834e72f5bac.png", "anno": "| 治疗方式 | 体重变化(1bs)-最小值 | 体重变化(1bs)-Q1 | 体重变化(1bs)-中位数 | 体重变化(1bs)-Q3 | 体重变化(1bs)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| FT | -6 | 3.5 | 8.5 | 12.5 | 22.5 |\n| Gont | 1.5 | -7.5 | 0 | 4.5 | 15.5 |\n| CBT | -3 | -1.5 | 1.5 | 4.7 | 7 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/50a185244a3ef44769e00a4f49d2420f.png", "anno": "| | 教学评估得分-最小值 | 教学评估得分-Q1 | 教学评估得分-中位数 | 教学评估得分-Q3 | 教学评估得分-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 男 | 3.2 | 4.1 | 4.4 | 4.8 | 5.1 |\n| 女 | 3.4 | 4.2 | 4.3 | 4.8 | 5.1 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/eee953218e0743274e59258cb5c2d3b2.png", "anno": "### 五种水果维生素C含量箱线图\n\n| | 维生素C含量（mg/100g）-最小值 | 维生素C含量（mg/100g）-Q1 | 维生素C含量（mg/100g）-中位数 | 维生素C含量（mg/100g）-Q3 | 维生素C含量（mg/100g）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 草莓 | 1.2 | 1.8 | 2.5 | 3.3 | 4 |\n| 橙子 | 1.8 | 2.7 | 3.4 | 4.3 | 5.2 |\n| 猕猴桃 | 1 | 1.6 | 2.4 | 3.4 | 4 |\n| 柠檬 | 1.5 | 2.6 | 3.8 | 4.9 | 5.7 |\n| 柚子 | 1 | 2 | 2.8 | 3.7 | 4.5 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/5588a4104664b3a4193360912ed03aa8.png", "anno": "### 不同城市早高峰通勤时抵箱线图\n\n| | 通勤时长（分钟）-最小值 | 通勤时长（分钟）-Q1 | 通勤时长（分钟）-中位数 | 通勤时长（分钟）-Q3 | 通勤时长（分钟）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 北京 | 48 | 59 | 72 | 88 | 98 |\n| 上海 | 32 | 46 | 60 | 79 | 90 |\n| 广州 | 10 | 20 | 36 | 47 | 60 |\n| 深圳 | 11 | 22 | 32 | 40 | 56 |\n| 成都 | 4 | 12 | 22 | 38 | 49 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/44114d069856cfee71c747ba7d387ab5.png", "anno": "### 不同品牌洗衣液洗净率箱线图\n\n| | 洗净率(%)-最小值 | 洗净率(%)-Q1 | 洗净率(%)-中位数 | 洗净率(%)-Q3 | 洗净率(%)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 品牌A | 9 | 16 | 27 | 48 | 65 |\n| 品牌B | 24 | 36 | 54 | 70 | 85 |\n| 品牌C | 34 | 44 | 57 | 72 | 88 |\n| 品牌D | 34 | 46 | 65 | 81 | 97 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/8814ec302f80cd0fc860cd749c01b8eb.png", "anno": "### 豚鼠的牙齿生长\n#### 抗坏血酸\n| 维生素C剂量 毫克 | 牙齿长度-最小值 | 牙齿长度-Q1 | 牙齿长度-中位数 | 牙齿长度-Q3 | 牙齿长度-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 0.5 | 3 | 6 | 7.5 | 11 | 12 |\n| 1 | 12 | 15 | 16.5 | 18 | 20 |\n| 2 | 18 | 23 | 26 | 29.5 | 34.5 |\n\n#### 橙汁\n| 维生素C剂量 毫克 | 牙齿长度-最小值 | 牙齿长度-Q1 | 牙齿长度-中位数 | 牙齿长度-Q3 | 牙齿长度-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 0.5 | 6 | 9 | 12 | 17 | 22.5 |\n| 1 | 13 | 19.8 | 24 | 26 | 28 |\n| 2 | 21 | 24.5 | 26 | 27.5 | 32.5 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/616c5305e810f89840c718765320a4fb.png", "anno": "### 四款耳机降噪深度箱线图\n\n| | 降噪深度(dB)-最小值 | 降噪深度(dB)-Q1 | 降噪深度(dB)-中位数 | 降噪深度(dB)-Q3 | 降噪深度(dB)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 耳机A | 0.65 | 0.9 | 1.15 | 1.45 | 1.7 |\n| 耳机B | 0.6 | 0.8 | 1.1 | 1.4 | 1.6 |\n| 耳机C | 0.4 | 0.65 | 0.95 | 1.15 | 1.45 |\n| 耳机D | 0.2 | 0.45 | 0.85 | 1.1 | 1.4 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/f5940feba060957d3c73008c25609f57.png", "anno": "| | 2022年7月小时平均气温(℃)-最小值 | 2022年7月小时平均气温(℃)-Q1 | 2022年7月小时平均气温(℃)-中位数 | 2022年7月小时平均气温(℃)-Q3 | 2022年7月小时平均气温(℃)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 广州 | 23 | 26.4 | 28 | 32.5 | 38.4 |\n| 武汉 | 22.5 | 27.5 | 31 | 34.2 | 37 |\n| 北京 | 19.3 | 24.4 | 27 | 30.7 | 37.5 |\n| 杭州 | 23.5 | 28 | 31.3 | 33.4 | 39.7 |\n| 乌鲁木齐 | 16 | 23 | 24.7 | 28.5 | 34 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c64e45c3cff5c6b18d5e8484231006a2.png", "anno": "| | 电池续航时长（小时）-最小值 | 电池续航时长（小时）-Q1 | 电池续航时长（小时）-中位数 | 电池续航时长（小时）-Q3 | 电池续航时长（小时）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 小米 | 0.40 | 1.11 | 2.37 | 2.68 | 3.56 |\n| 华为 | 0.63 | 1.50 | 2.94 | 3.9 | 4.68 |\n| 苹果 | 1.49 | 2.36 | 4.18 | 4.66 | 4.89 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/171f966849c4f2969e7adc6d109b6abb.png", "anno": "### 各地区月度降雨量箱线图\n\n| | 降雨量(毫米)-最小值 | 降雨量(毫米)-Q1 | 降雨量(毫米)-中位数 | 降雨量(毫米)-Q3 | 降雨量(毫米)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 华北 | 10 | 23 | 37 | 47 | 58 |\n| 华东 | 15 | 27 | 45 | 57 | 73 |\n| 华南 | 10 | 28 | 54 | 65 | 82 |\n| 西南 | 25 | 43 | 57 | 65 | 77 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/884cd60f75e0ef3ab303bfb6b6179345.png", "anno": "### 男女身高对比箱线图\n\n| 性别 | 身高(cm)-最小值 | 身高(cm)-Q1 | 身高(cm)-Q2 | 身高(cm)-Q3 | 身高(cm)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 女性 | 141 | 157 | 160 | 172 | 185 |\n| 男性 | 144 | 162 | 168 | 176 | 187 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/6d238c6349dc29c8953c44fa396a9419.png", "anno": "箱线图1(0,0),(0,0)\n### 四种产品月销量箱线图\n\n| 产品名称 | 月销量（件）-最小值 | 月销量（件）-Q1 | 月销量（件）-中位数 | 月销量（件）-Q3 | 月销量（件）-最大值 |\n|---|---|---|---|---|---|\n| 产品A | 70 | 95 | 110 | 135 | 176 |\n| 产品B | 30 | 60 | 85 | 105 | 130 |\n| 产品C | 60 | 80 | 105 | 135 | 151 |\n| 产品D | 110 | 140 | 155 | 170 | 180 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/6885210390e4672956a057ceeb57aa19.png", "anno": "### 热门景点节假日游客等待时长\n\n| | 等待时长(小时)-最小值 | 等待时长(小时)-Q1 | 等待时长(小时)-中位数 | 等待时长(小时)-Q3 | 等待时长(小时)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 景点A | 2.5 | 4.4 | 5.5 | 7.0 | 8.8 |\n| 景点B | 2.0 | 3.5 | 5.5 | 7.0 | 8.8 |\n| 景点C | 1.0 | 2.5 | 3.2 | 5.0 | 6.8 |\n| 景点D | 0.5 | 1.6 | 2.8 | 4.4 | 5.5 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/3f0bca3a448d80ef15ae1e2ae22c00dd.png", "anno": "| 年份. | 数字普惠金融数字化程度.-最小值 | 数字普惠金融数字化程度.-Q1- | 数字普惠金融数字化程度.-中位数 | 数字普惠金融数字化程度.-Q3 | 数字普惠金融数字化程度.-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 2016 | 63 | 75 | 82 | 89 | 104 |\n| 2017 | 75 | 87 | 95 | 105 | 118 |\n| 2018 | 88 | 100 | 110 | 118 | 130 |\n| 2019 | 90 | 107 | 115 | 126 | 138 |\n| 2020 | 84 | 100 | 108 | 115 | 127 |\n| 2021 | 72 | 89 | 96 | 104 | 115 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/874e6c16ff1248a2c7d51fbaef944b34.png", "anno": "### 不同品牌充电宝充电效率对比\n| | 充电效率(mAh/分钟)-最小值 | 充电效率(mAh/分钟)-Q1 | 充电效率(mAh/分钟)-中位数 | 充电效率(mAh/分钟)-Q3 | 充电效率(mAh/分钟)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 品牌A | 3 | 15 | 27 | 35 | 53 |\n| 品牌B | 20 | 30 | 56 | 65 | 88 |\n| 品牌C | 12 | 28 | 42 | 64 | 86 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/4daad50d6bf599b91b4d4235c71735da.png", "anno": "### 不同岗位员工月度加班时长箱线图\n| 岗位类型 | 加班时长（小时）-最小值 | 加班时长（小时）-Q1 | 加班时长（小时）-中位数 | 加班时长（小时）-Q3 | 加班时长（小时）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 技术岗 | 14 | 27 | 43 | 63 | 77 |\n| 运营岗 | 7 | 21 | 35 | 52 | 76 |\n| 行政岗 | 2 | 7 | 17 | 29 | 38 |\n| 销售岗 | 30 | 41 | 47 | 70 | 89 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/4dfc5cf0824f974429e7f7fa319036a4.png", "anno": "### 各年龄段体重分布箱线图\n\n| | 体重(kg)-最小值 | 体重(kg)-Q1 | 体重(kg)-中位数 | 体重(kg)-Q3 | 体重(kg)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 儿童(0-12岁) | 15 | 25 | 35 | 48 | 60 |\n| 青年(13-18岁) | 14 | 32 | 45 | 52 | 59 |\n| 成年(19-60岁) | 22 | 31 | 61 | 72 | 85 |\n| 老年人(61岁以上) | 32 | 41 | 60 | 83 | 95 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/40655cce4e9397783a23a77eaa74d762.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 语文 | 60 | 67.5 | 77 | 90 | 101 |\n| 英语 | 71 | 79.5 | 87.6 | 96 | 100 |\n| 数学 | 66 | 69 | 74 | 81 | 102 |\n| 历史 | 64 | 72 | 88 | 93 | 101 |\n| 地理 | 70 | 80 | 83 | 93.8 | 101 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/38539af29c9f6e7ce769a3ab52435d57.png", "anno": "### 不同科目期未考试平均分箱线图\n\n| | 平均分(分)-最小值 | 平均分(分)-Q1 | 平均分(分)-中位数 | 平均分(分)-Q3 | 平均分(分)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 物理 | 20 | 30 | 50 | 60 | 75 |\n| 化学 | 35 | 50 | 65 | 75 | 90 |\n| 地理 | 45 | 55 | 75 | 90 | 100 |\n| 政治 | 40 | 55 | 75 | 85 | 100 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/44adff8c4e2c7e76de30aa5dd8134548.png", "anno": "| 性别 | 手术时间-最小值 | 手术时间-Q1 | 手术时间-中位数 | 手术时间-Q3 | 手术时间-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 女 | 40 | 70 | 96 | 140 | 150 |\n| 男 | 45 | 70 | 91 | 140 | 185 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/d60b45d5301b0d1e2a6835183ccae91e.png", "anno": "### 三个城市日均气温箱线图\n\n| 城市 | 日均气温(℃)-最小值 | 日均气温(℃)-Q1 | 日均气温(℃)-中位数 | 日均气温(℃)-Q3 | 日均气温(℃)-最大值 | \n| --- | --- | --- | --- | --- | --- |\n| 北京 | 1.8 | 3.8 | 4.4 | 4.9 | 7.0 |\n| 上海 | 2.7 | 4.0 | 4.7 | 5.4 | 6.6 |\n| 广州 | 0.9 | 3.4 | 4.0 | 5.3 | 6.6 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/8e39c3d71d1291ee8d938789428d0873.png", "anno": "### 不同奶茶含糖量箱线图\n\n| 奶茶 | 糖分含量(g/100ml)-最小值 | 糖分含量(g/100ml)-Q1 | 糖分含量(g/100ml)-中位数 | 糖分含量(g/100ml)-Q3 | 糖分含量(g/100ml)-最大值 | \n| --- | --- | --- | --- | --- | --- |\n| 奶茶A | 10 | 30 | 65 | 82 | 130 |\n| 奶茶B | 85 | 120 | 160 | 180 | 230 | \n| 奶茶C | 35 | 75 | 115 | 150 | 180 | \n| 奶茶D | 25 | 50 | 80 | 120 | 150 | ", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/ce39460395a724a7fdb487ac3dd2026f.png", "anno": "### 不同菜系餐厅客单价箱线图\n\n| | 客单(价)-最小值 | 客单(价)-Q1 | 客单(价)-中位数 | 客单(价)-Q3 | 客单(价)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 川菜 | 12 | 24 | 38 | 50 | 65 |\n| 粤菜 | 15 | 27 | 37 | 55 | 65 |\n| 湘菜 | 21 | 33 | 48 | 65 | 80 |\n| 鲁菜 | 10 | 25 | 36 | 50 | 65 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/5a91f6281161e5f501926999fa7dfe03.png", "anno": "### 四种宠物每日进食量箱线图\n| | 进食量（克/日）-最小值 | 进食量（克/日）-Q1 | 进食量（克/日）-中位数 | 进食量（克/日）-Q3 | 进食量（克/日）-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 猫 | 10 | 14 | 20 | 28 | 33 |\n| 狗 | 13 | 18 | 25 | 32 | 37 |\n| 兔子 | 5 | 12 | 15 | 22 | 28 |\n| 仓鼠 | 2 | 8 | 12 | 17 | 22 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/fb6b44425aa424362fb11a9bf0b3d1f2.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| A型 | 20 | 38 | 59 | 75 | 100 |\n| B型 | 25 | 47 | 75 | 97 | 123 |\n| C型 | 40 | 55 | 75 | 100 | 115 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a114aa358b5052a855f5d0746c9be6e5.png", "anno": "### 南北省份冬季供暖时长箱线图\n\n| | 供暖时长-最小值 | 供暖时长-Q1 | 供暖时长-中位数 | 供暖时长-Q3 | 供暖时长-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 北方 | 40 | 74 | 100 | 130 | 150 |\n| 南方 | 12 | 24 | 34 | 45 | 60 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/7634f792345ab8a2bed91a76b13f7238.png", "anno": "| Sample | Value-Min | Value-Q1 | Value-Median | Value-Q3 | Value-Max |\n\n| --- | --- | --- | --- | --- | --- |\n| Sample1 | 40 | 50 | 55 | 60 | 70 |\n| Sample2 | 35 | 55 | 60 | 70 | 80 |\n| Sample3 | 40 | 50 | 55 | 60 | 80 |\n| Sample4 | 30 | 50 | 55 | 60 | 80 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/0b6cfbbda3cb2402f0862d79e3516160.png", "anno": "### Wind speed Distribution of Different City Type\n\n| City Type | Wind speed (Km/h)-最小值 | Wind speed (Km/h)-Q1 | Wind speed (Km/h)-中位数 | Wind speed (Km/h)-Q3 | Wind speed (Km/h)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Coastal Cities | 5.0 | 7.2 | 8.0 | 9.4 | 11.5 |\n| Inland Cities | 0.4 | 1.3 | 2.0 | 3.5 | 4.0 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9f491af4922884d413c14a26cfaa9cdf.png", "anno": "### Exam Scores by Difficulty Level\n\n| Level | Exam Scores-Min | Exam Scores-Q1 | Exam Scores-Median | Exam Scores-Q3 | Exam Scores-Max |\n| --- | --- | --- | --- | --- | --- |\n| Level 1 | 10 | 18 | 25 | 34 | 42 |\n| Level 2 | 17 | 24 | 30 | 40 | 48 |\n| Level 3 | 15 | 22 | 34 | 39 | 45 |\n| Level 4 | 30 | 37 | 45 | 49 | 53 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9775c237b97e53b2fc8c6334635a68ee.png", "anno": "| | Score-最小值 | Score-Q1 | Score-中位数 | Score-Q3 | Score-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| English | 70 | 77 | 83 | 88 | 97 |\n| Economics Mathematics | 53 | 65 | 75 | 79 | 96 |\n| Western Economics | 66 | 77 | 83 | 90 | 96 |\n| Marketing | 70 | 75 | 82 | 88 | 95 |\n| Financial Management | 64 | 73 | 76 | 80 | 94 |\n| Basic Auounting | 67 | 72 | 76 | 88 | 97 |\n| Statistics | 56 | 73 | 76 | 87 | 98 |\n| Computer Application Basics | 68 | 79 | 85 | 88 | 95 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/ed490b2c5bee84c21202d321052f8c5e.png", "anno": "### Growth Rate of Houseplants in Different soils\n| soils | Growth Rate(%)-最小值 | Growth Rate(%)-Q1 | Growth Rate(%)-中位数 | Growth Rate(%)-Q3 | Growth Rate(%)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Peat soil | 2.0 | 2.9 | 3.9 | 5.4 | 6.1 |\n| Garden soil | 2.3 | 3.9 | 5.0 | 6.2 | 7.3 |\n| Perlite soil | 0.9 | 1.8 | 2.7 | 4.8 | 5.8 |\n| Coco coir | 3.3 | 5.1 | 6.4 | 8.0 | 9.1 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/5ebb4a684ba528a1ec2899584f7ab9a6.png", "anno": "### Flight Delay Time by Airline\n\n| Airline | Delay Time (minutes)-最小值 | Delay Time (minutes)-Q1 | Delay Time (minutes)-中位数 | Delay Time (minutes)-Q3 | Delay Time (minutes)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| AirlineA | 0.4 | 1.3 | 2.0 | 3.0 | 4.6 |\n| AirlineB | 1.0 | 2.0 | 2.8 | 4.2 | 5.0 |\n| AirlineC | 2.0 | 3.0 | 4.3 | 5.1 | 6.5 |\n| AirlineD | 1.0 | 2.0 | 2.7 | 4.0 | 5.5 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/bc3e252e1de09937867a9249a75d2acd.png", "anno": "### Average Hourly Temperature in July 2022($ ^{\\circ}C $)\n\n| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Guangzhou | 25 | 27 | 30 | 34 | 38 |\n| Wuhan | 24 | 28 | 32 | 35 | 40 |\n| Beijing | 22 | 25 | 29 | 33 | 40 |\n| Hangzhou | 25 | 31 | 34 | 35 | 41 |\n| Vrumqi | 20 | 25 | 28 | 32 | 36 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f5920150e5e9e33467bb13bcb8f85e55.png", "anno": "### Game Download Size by Genre\n\n| Genre | Download Size (MB)-最小值 | Download Size (MB)-Q1 | Download Size (MB)-中位数 | Download Size (MB)-Q3 | Download Size (MB)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Genre1 | 0.5 | 1.0 | 2.0 | 3.0 | 3.9 |\n| Genre2 | 1.0 | 2.0 | 3.0 | 3.4 | 4.2 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/09824d85cc44d3ff6fb514aaa9bb5e53.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Type A | 22 | 38 | 60 | 80 | 103 |\n| Type B | 33 | 47 | 79 | 100 | 127 |\n| Type C | 43 | 57 | 81 | 103 | 123 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/ac94ad586246653b1cc7481f3294b393.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Chinese | 60 | 66 | 77 | 88.6 | 101 |\n| English | 70 | 80 | 87.5 | 98 | 102 |\n| Math | 63.5 | 66.6 | 74 | 80.5 | 103 |\n| History | 62 | 72.5 | 87.5 | 93.6 | 101 |\n| Geography | 66 | 78.3 | 83.5 | 93.6 | 104 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/5492b204fd46c8eb2b0e4a4ae00bb3c9.png", "anno": "| Treatment method | Charge in Body Weight (lbs)-Min | Charge in Body Weight (lbs)-Q1 | Charge in Body Weight (lbs)-Median | Charge in Body Weight (lbs)-Q3 | Charge in Body Weight (lbs)-Max |\n\n| --- | --- | --- | --- | --- | --- |\n| F-T | -7.5 | 2.5 | 8.0 | 11.0 | 22.0 |\n| Cont | -15 | -7.0 | 0 | 4.0 | 15.0 |\n| CBT | -8.0 | -2.0 | 2.0 | 4.0 | 7.0 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/77fed5f3645fbfbcc4c5a2c647cd9527.png", "anno": "### Plant Growth Height under Different Light Intensity\n\n| | Plant Growth Height (cm)-最小值 | Plant Growth Height (cm)-Q1 | Plant Growth Height (cm)-中位数 | Plant Growth Height (cm)-Q3 | Plant Growth Height (cm)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Low | 0.4 | 0.5 | 0.7 | 0.8 | 1.03 |\n| Medium | 0.7 | 0.9 | 1.1 | 1.3 | 1.5 |\n| High | 1.1 | 1.35 | 1.7 | 2.0 | 2.2 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/3c78bc53235040b4672104675027a480.png", "anno": "### Buffering Time (Seconds)\n\n| | Battering Time (Seconds)-最小值 | Battering Time (Seconds)-Q1 | Battering Time (Seconds)-中位数 | Battering Time (Seconds)-Q3 | Battering Time (Seconds)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 180P | 20 | 28 | 36 | 50 | 56 |\n| 720P | 14 | 20 | 30 | 39 | 48 |\n| 480P | 10 | 16 | 21 | 32 | 41 |\n| 360P | 3 | 7 | 12 | 18 | 25 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/2ac7338944f768a7ceec067c1e8fca74.png", "anno": "### Time Spent on Social Media by Age Group\n| Age Groups | Hours per Day-最小值 | Hours per Day-Q1 | Hours per Day-中位数 | Hours per Day-Q3 | Hours per Day-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 10-15 | 2 | 5 | 9 | 12 | 17 |\n| 16-20 | 3 | 6 | 12 | 16 | 21 |\n| 21-25 | 9 | 15 | 24 | 31 | 38 |\n| 26-30 | 6 | 10 | 20 | 26 | 35 |\n| 31-35 | 2 | 5 | 13 | 20 | 25 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a6a2f9246acf6b2316d515b5a1d1bdb2.png", "anno": "### Delivery Time by Platform\n\n| Platform | Deivery Time cdagv-最小值 | Deivery Time cdagv-Q1 | Deivery Time cdagv-中位数 | Deivery Time cdagv-Q3 | Deivery Time cdagv-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Platform A | 3 | 6 | 8 | 10 | 14 |\n| Platform B | 4 | 6 | 9 | 12 | 15 |\n| Platform C | 5 | 8 | 11 | 13 | 17 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/1b9a76f65a9f4f9528c94ceee52b0240.png", "anno": "### MPG Distribution by Auto Type\n\n| Auto Type | Miles per Gallon-最小值 | Miles per Gallon-Q1 | Miles per Gallon-中位数 | Miles per Gallon-Q3 | Miles per Gallon-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| auto.4 | 21 | 22 | 23 | 24 | 25 |\n| Standard.4 | 22 | 24 | 29 | 33 | 37 |\n| auto.6 | 16 | 17 | 16 | 23 | 25 |\n| standard.6 | 21 | 22 | 23 | 25 | 25 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/11d275f584602457bbb04a8491ce8bf5.png", "anno": "| Sex | Operation Time-最小值 | Operation Time-Q1 | Operation Time-中位数 | Operation Time-Q3 | Operation Time-最大值 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Female | 45 | 75 | 100 | 130 | 160 |\n| Male | 50 | 75 | 110 | 150 | 200 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/daa5f02355a1d92aa573d012b8105f31.png", "anno": "| Brand | Charging Speed(w)-最小值 | Charging Speed(w)-Q1 | Charging Speed(w)-中位数 | Charging Speed(w)-Q3 | Charging Speed(w)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Apple | 0.9 | 1.3 | 2.0 | 2.6 | 3.2 |\n| Samsung | 0.5 | 0.9 | 1.3 | 1.9 | 2.6 |\n| Huawei | 0.2 | 0.5 | 1.2 | 1.9 | 2.6 |\n| Xiaomi | 0.1 | 0.3 | 0.6 | 0.9 | 1.5 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/1081f9258df6b7083b26f9fb5e572d2d.png", "anno": "### Battery Charging Cycles of Electric Toothbrushes\n\n| | Charging Cycles-最小值 | Charging Cycles-Q1 | Charging Cycles-中位数 | Charging Cycles-Q3 | Charging Cycles-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Model A | 0.15 | 0.23 | 0.33 | 0.50 | 0.57 |\n| Model B | 0.23 | 0.33 | 0.47 | 0.60 | 0.68 |\n| Model C | 0.25 | 0.35 | 0.52 | 0.70 | 0.81 |\n| Model D | 0.34 | 0.43 | 0.53 | 0.62 | 0.73 |\n| Model E | 0.37 | 0.45 | 0.63 | 0.80 | 0.90 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/4dd45ef656aa231004bbfcb88bed5393.png", "anno": "### Noise Level in Different Urban Areas\n\n| Urban Areas | Noise Level (dB)-最小值 | Noise Level (dB)-Q1 | Noise Level (dB)-中位数 | Noise Level (dB)-Q3 | Noise Level (dB)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| area A | 30 | 35 | 40 | 48 | 52 |\n| area B | 20 | 28 | 33 | 40 | 48 |\n| area C | 32 | 38 | 45 | 50 | 54 |\n| area D | 7 | 15 | 22 | 30 | 38 |\n| area E | 15 | 21 | 28 | 37 | 42 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/e97888c068f00ee9801509c5e3170d63.png", "anno": "### Durability of Running Shoes by Brand\n| | Duralbllity(1-9)-最小值 | Duralbllity(1-9)-Q1 | Duralbllity(1-9)-中位数 | Duralbllity(1-9)-Q3 | Duralbllity(1-9)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Nike | 4.2 | 5.0 | 6.0 | 6.8 | 7.2 |\n| Adidas | 4.2 | 4.9 | 6.0 | 7.0 | 7.8 |\n| Brooks | 2.3 | 3.0 | 3.9 | 4.7 | 5.1 |\n| New Nalance | 2.9 | 3.7 | 4.8 | 5.8 | 6.4 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/e29331b12b0a48bb08e670a6d552f6f2.png", "anno": "### Baking Time of Different Pastry Types\n\n| Pastry Types | Baking Time (minutes)-最小值 | Baking Time (minutes)-Q1 | Baking Time (minutes)-中位数 | Baking Time (minutes)-Q3 | Baking Time (minutes)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Cake | 7 | 9 | 12 | 14 | 17 |\n| Crookie | 1 | 2 | 5 | 7 | 10 |\n| Bread | 5 | 6 | 9 | 13 | 15 |\n| Pie | 7 | 8 | 10 | 14 | 16 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/ba5bd55641378980b74b47a691381c96.png", "anno": "### Horizontal Box Plot\n\n| Date | Values-最小值 | Values-Q1 | Values-中位数 | Values-Q3 | Values-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | -2.7 | -0.8 | 0.2 | 0.9 | 2.5 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/ff840f4fdcaccdb1ed8c0c032b2d94ba.png", "anno": "| | Teaching Evaluation Score-最小值 | Teaching Evaluation Score-Q1 | Teaching Evaluation Score-中位数 | Teaching Evaluation Score-Q2 | Teaching Evaluation Score-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Male | 3.25 | 4.12 | 4.46 | 4.91 | 5.26 |\n| Female | 3.36 | 4.21 | 4.41 | 4.81 | 5.24 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/0c2fb4d6f6f7bd2ff4e1c9e3c802d5e1.png", "anno": "### Sales of Each Branch by Quarter in 2017\n\n| | Sales (Yuan)-最小值 | Sales (Yuan)-Q1 | Sales (Yuan)-中位数 | Sales (Yuan)-Q3 | Sales (Yuan)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Quarter1 | 4900 | 7500 | 10000 | 13500 | 18000 |\n| Quarter2 | 5000 | 7000 | 8000 | 12500 | 18000 |\n| Quarter3 | 3500 | 6700 | 7000 | 10000 | 13500 |\n| Quarter4 | 5000 | 6700 | 10000 | 12000 | 14000 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/e3e23602ca74e23e9ea2e9772edef99c.png", "anno": "### Gym Membership Fees by City Scale\n\n| City Scale | Monthly Membership Fee (S)-最小值 | Monthly Membership Fee (S)-Q1 | Monthly Membership Fee (S)-中位数 | Monthly Membership Fee (S)-Q3 | Monthly Membership Fee (S)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Small City | 0.5 | 1.0 | 2.0 | 3.0 | 4.0 |\n| medium City | 1.2 | 2.1 | 3.4 | 4.3 | 5.3 |\n| large City | 1.3 | 2.3 | 4.5 | 5.4 | 6.0 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/8f73b0984a4707c0c2b1f618fe881b00.png", "anno": "### Coffee Brewing Time by Method\n\n| Method Type | Time(minuts)-最小值 | Time(minuts)-Q1 | Time(minuts)-中位数 | Time(minuts)-Q3 | Time(minuts)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Expresso | 23 | 53 | 123 | 170 | 207 |\n| Pour Over | 73 | 119 | 147 | 250 | 290 |\n| French Press | 56 | 99 | 227 | 300 | 342 |\n| Cold Brew | 55 | 99 | 148 | 207 | 250 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/5f8567018fe035152fadad660abea209.png", "anno": "### Time to Solve Puzzles by Difficulty\n\n| Difficulty Levels | Time (minutes)-最小值 | Time (minutes)-Q1 | Time (minutes)-中位数 | Time (minutes)-Q3 | Time (minutes)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Easy | 4 | 7 | 9 | 14 | 17 |\n| Medium | 3 | 5 | 8 | 12.5 | 15 |\n| Hard | 4.5 | 8 | 14 | 18 | 22 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/21adaf6b3762a3bb97c72027b8afa2d3.png", "anno": "| 样本 | 值-最小值 | 值-Q1 | 值-中位数 | 值-Q3 | 值-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 样本1 | 41 | 46 | 51 | 58 | 70 |\n| 样本2 | 36 | 56 | 60 | 72 | 83 |\n| 样本3 | 42 | 51 | 57 | 65 | 82 |\n| 样本4 | 32 | 50 | 58 | 67 | 83 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/483094aa26ace55bc9592f4d624f66c2.png", "anno": "| day | total_bill-最小值 | total_bill-Q1 | total_bill-中位数 | total_bill-Q3 | total_bill-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Thur | 10 | 18 | 20 | 23 | 30 |\n| Fri | 6 | 14 | 20 | 22 | 28 |\n| Sat | 10 | 28 | 30 | 36 | 41 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/82ec00e3cf78cb49b3ecc275cbf29609.png", "anno": "### Guinea Pig's Tooth Growth\n\n| Vitamin C dose mg | tooth length-最小值 | tooth length-Q1 | tooth length-中位数 | tooth length-Q3 | tooth length-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 0.5 | 3.5 | 6 | 7.5 | 11 | 12.5 |\n| 0.5 | 8 | 10 | 13 | 16.5 | 22 |\n| 1 | 14 | 16 | 17 | 18 | 20.5 |\n| 1 | 14.5 | 20.5 | 23 | 26.5 | 29 |\n| 2 | 18 | 24 | 24.5 | 30 | 35 |\n| 2 | 22.5 | 25 | 26 | 29 | 33 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/3c819da387df586849d1c6408d3a0deb.png", "anno": "### Water Consumption of Household Appliances\n\n| | Water(L/day)-Min | Water(L/day)-Q1 | Water(L/day)-Median | Water(L/day)-Q3 | Water(L/day)-Max |\n| --- | --- | --- | --- | --- | --- |\n| Refrigerator | 15 | 20 | 25 | 35 | 40 |\n| Washing Machine | 10 | 20 | 25 | 35 | 40 |\n| Dishwasher | 5 | 10 | 15 | 20 | 25 |\n| Air Conditioner | 10 | 15 | 20 | 25 | 30 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9db7fff02bebec4543e368db5ebf42bb.png", "anno": "| | PRR71 relative expression-最小值 | PRR71 relative expression-Q1 | PRR71 relative expression-中位数 | PRR71 relative expression-Q3 | PRR71 relative expression-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Tumor | 10 | 20 | 42 | 60 | 100 |\n| Normal | 10 | 12 | 14 | 20 | 30 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/784114103f2bc6e669d4fc7bad13bab2.png", "anno": "### Miles per Gallon by Vehicle Origin\n\n| Country of Origin | Miles per Gallon (MPG)-最小值 | Miles per Gallon (MPG)-Q1 | Miles per Gallon (MPG)-中位数 | Miles per Gallon (MPG)-Q3 | Miles per Gallon (MPG)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| USA | 9 | 16 | 20 | 27 | 40 |\n| France | 20 | 22 | 25 | 27 | 30 |\n| Japan | 20 | 31 | 34 | 38 | 42 |\n| Germany | 19 | 24 | 27 | 33 | 38 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a037a18b87b56c625a3d633f5bbf12e3.png", "anno": "| Variable | Value-最小值 | Value-Q1 | Value-中位数 | Value-Q3 | Value-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| a | -2.6 | -1.2 | -0.3 | 0.7 | 2.3 |\n| b | -2.2 | -0.8 | 0 | 1.3 | 2.35 |\n| c | -2.4 | -0.6 | 0.2 | 1.2 | 2.4 |\n| d | -2.2 | -0.2 | 0.4 | 1.0 | 2.7 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/df38ab87f3ba7c2129d2369f9983cb10.png", "anno": "### Calorie Content of Fast Food Meals\n| | Kcal-最小值 | Kcal-Q1 | Kcal-中位数 | Kcal-Q3 | Kcal-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Hamburge | 40 | 100 | 175 | 275 | 375 |\n| French Fries | 70 | 130 | 250 | 350 | 470 |\n| Chicken Nuggets | 100 | 200 | 350 | 500 | 600 |\n| Soda | 160 | 310 | 350 | 490 | 575 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/cf4122357145da8148773be27c2f25b9.png", "anno": "### Score Distribution of Online Courses\n#### Min:65 Q1:75 Med:82 Q3:88 Max:95\n\n| | Scores-最小值 | Scores-Q1 | Scores-中位数 | Scores-Q3 | Scores-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Course1 | 1.0 | 1.6 | 2.0 | 2.5 | 3.2 |\n| Course2 | 1.3 | 1.7 | 2.6 | 3.2 | 4.0 |\n| Course3 | 2.0 | 2.4 | 3.3 | 4.2 | 4.9 |\n| Course4 | 0.6 | 1.6 | 2.2 | 3.0 | 3.7 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/39f84eeb35c7c13558ddbbf2be3e7205.png", "anno": "### Hotel Check-in Waiting Time by Star Rating\n\n| Star Rating | Waiting Time (minutes)-最小值 | Waiting Time (minutes)-Q1 | Waiting Time (minutes)-中位数 | Waiting Time (minutes)-Q3 | Waiting Time (minutes)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.3 | 0.6 | 1.1 | 1.5 | 1.8 |\n| 2 | 0.7 | 1.3 | 1.8 | 2.2 | 2.7 |\n| 3 | 0.7 | 1.4 | 2 | 2.6 | 3 |\n| 4 | 1.2 | 1.8 | 2.7 | 3.5 | 4.5 |\n| 5 | 1.1 | 1.6 | 2.3 | 2.7 | 3.1 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b02c99cb46666c3c2b3db1369d0ebdb2.png", "anno": "### Laundry Drying Time by Fabric\n| | |\n| --- | --- |\n| Cotton | 25 |\n| Linen | 50 |\n| Wool | 75 |\n| Synthetic | 100 |\n这一题在半夜因有事暂时先提交了，打算白天回扫修改，请勿质检这一题，Thanks~", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/283566d965690026e1d900eeff771d61.png", "anno": "| Age Group | Diastolic Blaood pressure-最小值 | Diastolic Blaood pressure-Q1 | Diastolic Blaood pressure-中位数 | Diastolic Blaood pressure-Q3 | Diastolic Blaood pressure-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| late 20s | 72 | 77 | 80 | 83 | 87 |\n| early 30s | 75 | 85 | 87 | 90 | 93 |\n| late 40s+ | 70 | 77 | 80 | 83 | 85 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6822c34a378b7df5530f23e22c6c9bcc.png", "anno": "### Brightness of Desk Lamps by Wattage\n\n| Wattage | Brightness-最小值 | Brightness-Q1 | Brightness-中位数 | Brightness-Q3 | Brightness-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 3 | 5 | 7 | 9 |\n| 2 | 3 | 5 | 7 | 9 | 12 |\n| 3 | 5 | 8 | 10 | 14 | 17 |\n| 4 | 7 | 9 | 12.5 | 17 | 20 |\n| 5 | 9 | 12 | 16 | 17 | 20 |\n| 6 | 12 | 15 | 18 | 22 | 26 |\n| 7 | 17 | 20 | 25 | 30 | 34 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/eaa473ef93fbaa46b6a64d612d5be0db.png", "anno": "### Loading Time of E-commerce Websites\n\n| E-commerce Websites | Loading Time (Seconds)-最小值 | Loading Time (Seconds)-Q1 | Loading Time (Seconds)-中位数 | Loading Time (Seconds)-Q3 | Loading Time (Seconds)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Web1 | 0.3 | 0.8 | 1.1 | 1.2 | 2.2 |\n| Web2 | 0.6 | 1.1 | 1.6 | 1.7 | 2.5 |\n| Web3 | 0.9 | 1.2 | 1.8 | 1.6 | 2.4 |\n| Web4 | 1.1 | 1.6 | 2.3 | 2.5 | 3.6 |\n| Web5 | 1.7 | 2.2 | 3.1 | 3.2 | 4.7 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/c8dd02dc34f086b347738c1f41731ce8.png", "anno": "### Car Milleage Data\n\n| Number of Cylinders | Miles per Gallon-最小值 | Miles per Gallon-Q1 | Miles per Gallon-中位数 | Miles per Gallon-Q3 | Miles per Gallon-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 21 | 23 | 26 | 31 | 34 |\n| 6 | 18 | 19 | 20 | 22 | 23 |\n| 8 | 12 | 14 | 15 | 17 | 21 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/76ac97b2856b3f14c02d4c7a93188ff6.png", "anno": "### Download speed of Different ISPs\n\n| | Download speed (Mbps)-最小值 | Download speed (Mbps)-Q1 | Download speed (Mbps)-中位数 | Download speed (Mbps)-Q3 | Download speed (Mbps)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| ISPA | 5 | 13 | 20 | 28 | 36 |\n| ISPB | 13 | 22 | 33 | 43 | 54 |\n| ISPC | 4 | 14 | 25 | 35 | 45 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9f0a9f23ba579aa7dbfd0476cadda3a4.png", "anno": "### Arrays with different medians\n\n| | Date-最小值 | Date-Q1 | Date-中位数 | Date-Q3 | Date-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| A | 3.5 | 4.5 | 5.5 | 6.5 | 7.5 |\n| B | 2 | 3 | 3.5 | 4.5 | 5.5 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/fb7a7b6b81f2cbe4e177193cd09a9bc6.png", "anno": "### Coffee Price in different shop Brand\n\n| Shop Brand | Coffee price (yuan)-最小值 | Coffee price (yuan)-Q1 | Coffee price (yuan)-中位数 | Coffee price (yuan)-Q3 | Coffee price (yuan)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Brand 1 | 2.0 | 4.0 | 6.5 | 8.2 | 11.5 |\n| Brand 2 | 5.2 | 8.0 | 9.7 | 12.0 | 14.5 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/551e566bd9aa97dda1d74176cc6cbc5a.png", "anno": "| | 最小值 | Q1 | 中位数 | Q3 | 最大值 |\n| --- | --- | --- | --- | --- | --- |\n| data 1 | -0.7 | -0.4 | 0.4 | 0.9 | 1.7 |\n| data 2 | -0.4 | 0.2 | 0.6 | 1.0 | 1.9 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/420fc3991fe1a5c97fe7eb9e9fb75004.png", "anno": "### Sales Volume of Novel Genres in Bookstore\n\n| Novel Genres | Sales Volume-最小值 | Sales Volume-Q1 | Sales Volume-中位数 | Sales Volume-Q3 | Sales Volume-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Romance | 0.07 | 0.32 | 0.56 | 0.8 | 1.08 |\n| Mystery | 0.52 | 0.72 | 1.04 | 1.28 | 1.5 |\n| Fantasy | 0.64 | 0.89 | 1.28 | 1.76 | 2.0 |\n| Science Fiction | 0.48 | 0.72 | 1.04 | 1.34 | 1.6 |\n| Thriller | 0.12 | 0.32 | 0.56 | 0.96 | 1.2 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/2d0854ceecf4d7a6b6f7f037ea01cbd6.png", "anno": "### Temperature Variation in Different Seasons\n\n| Season | Temperature (℃)-最小值 | Temperature (℃)-Q1 | Temperature (℃)-中位数 | Temperature (℃)-Q3 | Temperature (℃)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Spring | -3 | 4 | 8 | 16 | 23 |\n| Summer | 2 | 8 | 13 | 21 | 26 |\n| Autumn | 1 | 5 | 9 | 17 | 21 |\n| Winter | -11 | -8 | -4 | 1 | 6 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/33f39950a76308df775b987b940515c3.png", "anno": "### Pencil Writing Durability by Hardness Grade\n\n| Hardness Grade | Durability Store-最小值 | Durability Store-Q1 | Durability Store-中位数 | Durability Store-Q3 | Durability Store-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| 2B | 7.5 | 10 | 13 | 17 | 19 |\n| HB | 5 | 7 | 10 | 14 | 12 |\n| 2H | 9 | 11 | 16 | 18 | 19.5 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a1c877fdaac5ef709d7118fc14e76bdb.png", "anno": "### Signal Strength of Smart Watches\n\n| | Signal Strength (dBm)-最小值 | Signal Strength (dBm)-Q1 | Signal Strength (dBm)-中位数 | Signal Strength (dBm)-Q3 | Signal Strength (dBm)-最大值 |\n| --- | --- | --- | --- | --- | --- |\n| Watch A | -73 | -62 | -48 | -33 | -23 |\n| Watch B | -84 | -80 | -64 | -48 | -34 |\n| Watch C | -70 | -60 | -30 | -20 | -10 |", "chart_type": "箱线图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/05ad8634bffae19aaa64a9a6100f4915.png", "anno": "### 北京市二手住宅月度（2017-2018）成交走势\n\n| 月度 | 2017年成交量（套） | 2018年成交量（套） | 2018年价格同比 |\n| --- | --- | --- | --- |\n| 1月 | 12860 | 10527 | -1.00% |\n| 2月 | 12168 | 7361 | -3.50% |\n| 3月 | 25952 | 11108 | -6.50% |\n| 4月 | 16902 | 13618 | 5.70% |\n| 5月 | 10801 | 17985 | 9.00% |\n| 6月 | 8918 | 15533 | 13.20% |\n| 7月 | 7158 | 14865 | 13.00% |\n| 8月 | 7712 | 15066 | 10.00% |\n| 9月 | 8876 | 15304 | 1.70% |\n| 10月 | 6162 | 8962 | 3.00% |\n| 11月 | 8483 | 11226 | 3.20% |\n| 12月 | 10245 | 11645 | 3.60% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/aee4ccb6f934318b9a747e00605747ca.png", "anno": "### 近八周重庆主城商务供求价走势\n#### 近八周均价：10827元/平米\n\n| | 供应面积(万$ m^{2} $) | 销售面积(万$ m^{2} $) | 成交均价(元/$ m^{2} $) |\n| --- | --- | --- | --- |\n| 8.05-8.11 | 0.00 | 1.69 | 10522 |\n| 8.12-8.18 | 0.00 | 1.20 | 11010 |\n| 8.19-8.25 | 2.28 | 1.56 | 11355 |\n| 8.26-9.01 | 0.95 | 2.63 | 11899 |\n| 9.02-9.08 | 0.28 | 1.81 | 11208 |\n| 9.09-9.15 | 0.39 | 1.72 | 11319 |\n| 9.16-9.22 | 2.61 | 1.99 | 10520 |\n| 9.23-9.29 | 2.60 | 2.29 | 8963 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/bd7170c05d45e11991a356c0dbc2a7e0.png", "anno": "### 上海调价房源量趋势图\n\n| | 调涨房源量-单位：套 | 调跌房源量-单位：套 | 上调比例 | 下调比例 |\n| --- | --- | --- | --- | --- |\n| 9.04 | 2200 | 9000 | 0.57% | 2.28% |\n| 9.11 | 1800 | 7300 | 0.48% | 1.90% |\n| 9.18 | 1600 | 7170 | 0.48% | 2.02% |\n| 9.25 | 1510 | 7500 | 0.42% | 2.04% |\n| 10.02 | 1520 | 7260 | 0.42% | 2.01% |\n| 10.09 | 1000 | 4400 | 0.31% | 1.40% |\n| 10.16 | 1500 | 8000 | 0.41% | 2.19% |\n| 10.23 | 1450 | 7000 | 0.40% | 1.90% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/32d17eacdc16f5b1d1bef7cb439ec045.png", "anno": "### 2017年1-10月北京乳制品生产量及增长情况\n| | 产量（万吨） | 同比增长（%） |\n| --- | --- | --- |\n| 1-2月 | 4.7 | 7.7 |\n| 3月 | 5.0 | -6.3 |\n| 4月 | 5.0 | -5.9 |\n| 5月 | 5.3 | -7 |\n| 6月 | 5.3 | -4.4 |\n| 7月 | 5.2 | -0.8 |\n| 8月 | 5.3 | 1.9 |\n| 9月 | 5.3 | -0.2 |\n| 10月 | 4.7 | -8.1 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/9bbb4a2a8268ecd7f99ac5b87693cad1.png", "anno": "### 2024年至今北京市商品住宅月度供需走势(公众号:京楼销售排行榜)\n\n| | 新增供应套数 | 成交套数 | 成交均价(元/$ m^{2} $) |\n| --- | --- | --- | --- |\n| 2024年1月 | 688 | 2908 | 53980 |\n| 2024年2月 | 509 | 1123 | 58294 |\n| 2024年3月 | 6675 | 2799 | 58324 |\n| 2024年4月 | 2294 | 2375 | 56810 |\n| 2024年5月 | 2474 | 2710 | 55426 |\n| 2024年6月 | 3417 | 3216 | 65199 |\n| 2024年7月 | 2777 | 3077 | 57378 |\n| 2024年8月 | 3816 | 2732 | 52188 |\n| 2024年9月 | 4511 | 2362 | 53869 |\n| 2024年10月 | 1990 | 4148 | 56278 |\n| 2024年11月 | 1427 | 4444 | 55144 |\n| 2024年12月 | 1533 | 5228 | 58131 |\n| 2025年1月 | 2180 | 2572 | 54749 |\n| 2025年2月 | 1460 | 2029 | 54933 |\n| 2025年3月 | 4975 | 4176 | 64768 |\n| 2025年4月 | 5290 | 3301 | 64639 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/7db04a41e4d66d5f46fe2842ac05524e.png", "anno": "### 长沙十年房价涨幅图\n| | 2010年 成交均价/元㎡ | 2019年 成交均价/元㎡ | 2019年 均价涨幅 |\n| --- | --- | --- | --- |\n| 岳麓区 | 4831 | 11300 | 134% |\n| 开福区 | 5189 | 10394 | 100% |\n| 芙蓉区 | 5678 | 9942 | 75% |\n| 雨花区 | 4995 | 10124 | 103% |\n| 天心区 | 5059 | 10679 | 111% |\n| 望城区 | 3676 | 6843 | 86% |\n| 长沙县 | 3788 | 6557 | 78% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0c93a556892dd6750e31a10fa0efaa2e.png", "anno": "### 2023～2024年前4个月蔚来部分区域上险量（单位：辆）\n\n| | 2023年 | 2024年 | 同比（%） |\n| --- | --- | --- | --- |\n| 黑龙江 | 70 | 164 | 141.2% |\n| 吉林 | 120 | 253 | 116.2% |\n| 山西 | 238 | 429 | 81.8% |\n| 辽宁 | 260 | 397 | 54.5% |\n| 内蒙古 | 160 | 241 | 51.6% |\n| 云南 | 182 | 268 | 48.9% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/836df84619be3221a4c1eddf8d186a4b.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### 昆明主城区高层月度供求走势\n\n| | 新供(万$ m^{2} $)-值 | 成交(万$ m^{2} $)-值 | 均价(元/$ m^{2} $)-值 |\n| --- | --- | --- | --- |\n| 22'1 | 46.0 | 41.1 | 12267 |\n| 22'2 | 9.0 | 19.9 | 13966 |\n| 22'3 | 17.8 | 22.3 | 14099 |\n| 22'4 | 30.4 | 25.1 | 14177 |\n| 22'5 | 26.2 | 23.4 | 13802 |\n| 22'6 | 48.4 | 28.1 | 13708 |\n| 22'7 | 10.8 | 28.5 | 13696 |\n| 22'8 | 18.0 | 33.9 | 13235 |\n| 22'9 | 20.0 | 29.8 | 13408 |\n| 22'10 | 14.5 | 28.6 | 12931 |\n| 22'11 | 17.9 | 30.2 | 13382 |\n| 22'12 | 14.0 | 28.3 | 13448 |\n| 23'1 | 12.6 | 25.2 | 13093 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/d940116ec206c7c63550ddd120474192.png", "anno": "### 上海市二手住宅月度（2017-2018）成交走势\n| | 2017年成交量(套) | 2018年成交量(套) | 2018年价格同比 |\n| --- | --- | --- | --- |\n| 1月 | 9126 | 11785 | -3.8% |\n| 2月 | 9409 | 7185 | -2.6% |\n| 3月 | 19443 | 17353 | -0.4% |\n| 4月 | 15447 | 13133 | -2.7% |\n| 5月 | 14614 | 16180 | -6.7% |\n| 6月 | 11573 | 15526 | -4.8% |\n| 7月 | 10661 | 14151 | -4.0% |\n| 8月 | 11487 | 13490 | 0.0% |\n| 9月 | 12181 | 13992 | -0.8% |\n| 10月 | 10705 | 11900 | -0.6% |\n| 11月 | 11215 | 13000 | 0.4% |\n| 12月 | 11791 | 16305 | -1.1% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3f7415031b6d78e3a0965c2d37eaf3b7.png", "anno": "### 美国大豆供需平衡情况（百万吨）\n| | 大豆:产量:美国-百万吨 | 大豆:进口:美国-百万吨 | 大豆:压榨量:美国-百万吨 | 大豆:国内消费总计:美国-百万吨 | 大豆:出口:美国-百万吨 | 大豆:期末库存:美国-百万吨 | 库存消费比-% | 出口量/产量-% |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2016 | 118 | 1 | 52 | 56 | 59 | 8 | 15 | 50 |\n| 2017 | 120 | 1 | 57 | 59 | 57 | 12 | 20 | 48 |\n| 2018 | 121 | 0 | 58 | 60 | 48 | 24 | 40 | 40 |\n| 2019 | 98 | 0 | 60 | 62 | 46 | 14 | 22 | 47 |\n| 2020 | 117 | 1 | 59 | 61 | 62 | 7 | 11 | 54 |\n| 2021 | 121 | 0 | 60 | 64 | 59 | 7 | 11 | 48 |\n| 2022 | 117 | 1 | 60 | 64 | 54 | 7 | 11 | 47 |\n| 2023 | 116 | 1 | 63 | 66 | 47 | 9 | 14 | 41 |\n| 2024 | 121 | 0 | 67 | 69 | 50 | 12 | 17 | 41 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/215813cb4cbd20b2e748d0f28527a2a5.png", "anno": "### 近一年广州商品住宅供求量变化\n| | 供应量（万$ m^{2} $） | 网签量（万$ m^{2} $) | 网签均价（元/$ m^{2} $） |\n| --- | --- | --- | --- |\n| 24.05 | 40 | 56 | 37030 |\n| 24.06 | 70 | 83 | 38748 |\n| 24.07 | 35 | 67 | 33945 |\n| 24.08 | 41 | 48 | 34569 |\n| 24.09 | 102 | 56 | 33099 |\n| 24.10 | 21 | 112 | 34456 |\n| 24.11 | 59 | 89 | 33999 |\n| 24.12 | 69 | 104 | 35923 |\n| 25.01 | 15 | 49 | 33593 |\n| 25.02 | 22 | 36 | 31586 |\n| 25.03 | 51 | 70 | 32944 |\n| 25.04 | 86 | 53 | 32535 |\n| 25.05 | 28 | 75 | 43940 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/5f7665f8b1b1ca7c8ca3f3dba6032194.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### MAT2022-MAT2023直播电商渠道衣物洗护市场规模\n\n| | 2022年-单位：亿元 | 2023年-单位：亿元 | 同比 |\n| --- | --- | --- | --- |\n| 1月 | 2.5 | 3.8 | 54% |\n| 2月 | 3.0 | 5.0 | 65% |\n| 3月 | 3.4 | 6.4 | 90% |\n| 4月 | 4.3 | 7.0 | 67% |\n| 5月 | 5.2 | 8.5 | 64% |\n| 6月 | 5.9 | 7.9 | 35% |\n| 7月 | 5.7 | 7.0 | 22% |\n| 8月 | 6.0 | 8.4 | 40% |\n| 9月 | 5.2 | 10.2 | 98% |\n| 10月 | 5.6 | 11.0 | 100% |\n| 11月 | 5.6 | 10.1 | 82% |\n| 12月 | 7.0 | 8.6 | 23% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/586c9dfae54eda33c9949ac66f83a4f2.png", "anno": "### 2019年1-11月番茄酱出口量及增长率\n\n| | 出口数量:番茄酱:当月值(万吨) | 出口数量:番茄酱:当月同比(%) |\n| --- | --- | --- |\n| 2019-01 | 8 | 19.2 |\n| 2019-02 | 5 | -23.3 |\n| 2019-03 | 8 | 14.7 |\n| 2019-04 | 9 | 20.4 |\n| 2019-05 | 7 | -13.4 |\n| 2019-06 | 9 | 20.1 |\n| 2019-07 | 8 | 0.3 |\n| 2019-08 | 6 | -17.6 |\n| 2019-09 | 8 | 25.4 |\n| 2019-10 | 9 | 0.6 |\n| 2019-11 | 9 | 13.2 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/98d65c58f712adf574fc23570ce0814b.png", "anno": "### 2018年北京二手住宅月度成交走势\n\n| 月度 | 成交套数（套） | 成交均价（元/m$ ^{2} $） |\n| --- | --- | --- |\n| 1月 | 10527 | 57523 |\n| 2月 | 7361 | 57557 |\n| 3月 | 11108 | 57717 |\n| 4月 | 13618 | 57839 |\n| 5月 | 17985 | 57931 |\n| 6月 | 15533 | 58166 |\n| 7月 | 14865 | 58355 |\n| 8月 | 15066 | 59376 |\n| 9月 | 15304 | 59913 |\n| 10月 | 8962 | 59943 |\n| 11月 | 11226 | 59602 |\n| 12月 | 11645 | 59868 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/fc34eaf670a30dd376ca447e94658f80.png", "anno": "### 2020年省份新增银幕数TOP10\n\n| 省份 | 2019年 | 2020年 | 银幕总数 |\n| --- | --- | --- | --- |\n| 广东省 | 1214 | 711 | 8904 |\n| 江苏省 | 848 | 609 | 6543 |\n| 四川省 | 619 | 426 | 4303 |\n| 浙江省 | 544 | 290 | 5593 |\n| 山东省 | 509 | 278 | 3804 |\n| 河北省 | 315 | 247 | 2512 |\n| 河南省 | 564 | 295 | 3599 |\n| 辽宁省 | 206 | 231 | 2221 |\n| 安徽省 | 313 | 251 | 2697 |\n| 江西省 | 299 | 235 | 2179 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/dadff385bbe0fe3b1842ba401a940d10.png", "anno": "### 湖北省建筑钢材月到货量对比（单位：万吨）\n| | 省内钢厂-万吨 | 省外钢厂-万吨 | 汇总-万吨 |\n| --- | --- | --- | --- |\n| 12月到货量 | 112 | 37 | 149 |\n| 1月到货量 | 106 | 27 | 133 |\n| 2月到货量 | 56 | 25 | 81 |\n| 3月到货量 | 109 | 36 | 145 |\n| 4月到货量 | 96 | 37 | 133 |\n| 5月到货量 | 105 | 27 | 132 |\n| 6月到货量 | 107 | 31 | 138 |\n| 7月计划量 | 95 | 33 | 128 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/6e9cebc31ef41a5128e023d1da5533f8.png", "anno": "### 2022年各月投资情况\n\n| | 房地产开发投资（亿元） | 房地产开发投资同比 |\n| --- | --- | --- |\n| 1-2月 | 14499 | 3.67% |\n| 3月 | 13266 | -2.38% |\n| 4月 | 11389 | -10.07% |\n| 5月 | 12980 | -7.80% |\n| 6月 | 16180 | -9.41% |\n| 7月 | 11148 | -12.33% |\n| 8月 | 11347 | -13.81% |\n| 9月 | 12750 | -12.12% |\n| 10月 | 10386 | -16.01% |\n| 11月 | 9918 | -19.89% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/82766a1ca0b3783ac0b86a4e424e52d9.png", "anno": "| | 国内航司班次 | 国际及地区航司班次 | 国内航司恢复率 | 国际及地区航司恢复率 |\n| --- | --- | --- | --- | --- |\n| 1月 | 3.4 | 1.8 | 76% | 53% |\n| 2月 | 3.4 | 1.9 | 80% | 58% |\n| 3月 | 3.5 | 1.9 | 79% | 55% |\n| 4月 | 3.6 | 1.9 | 81% | 56% |\n| 5月 | 3.8 | 2.0 | 84% | 57% |\n| 6月 | 3.8 | 1.9 | 85% | 55% |\n| 7月 | 4.3 | 2.3 | 89% | 60% |\n| 8月 | 4.4 | 2.3 | 92% | 60% |\n| 9月 | 4.1 | 2.0% | 91% | 58% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1f3a2f82a91b99f44f223aaa130234ae.png", "anno": "### 中国品牌乘用车月度销量和增速变化\n| | 2021年-万辆 | 2022年-万辆 | 2022年增长率-% |\n| --- | --- | --- | --- |\n| 1月 | 86 | 100 | 16.28% |\n| 2月 | 50 | 63 | 26% |\n| 3月 | 74 | 90 | 21.62% |\n| 4月 | 71 | 55 | -22.54% |\n| 5月 | 67 | 80 | 19.40% |\n| 6月 | 69 | 99 | 43.48% |\n| 7月 | 71 | 107 | 50.70% |\n| 8月 | 70 | 102 | 45.71% |\n| 9月 | 81 | 116 | 43.21% |\n| 10月 | 94 | 118 | 25.53% |\n| 11月 | 101 | | 0% |\n| 12月 | 112 | | 0% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/8c939f27cc1367168b9e92945f4c93fa.png", "anno": "### 中国品牌乘用车月度销量和增速变化\n\n| 月度 | 2023年-(万辆) | 2024年-(万辆) | 增长率-(%) |\n| --- | --- | --- | --- |\n| 1月 | 75 | 128 | 72% |\n| 2月 | 88 | 80 | -8% |\n| 3月 | 105 | 132 | 30% |\n| 4月 | 100 | 128 | 31% |\n| 5月 | 110 | 132 | 24% |\n| 6月 | 120 | 142 | 22% |\n| 7月 | 120 | 132 | 14% |\n| 8月 | 130 | 145 | 17% |\n| 9月 | 140 | 170 | 25% |\n| 10月 | 149 | 180 | 34% |\n| 11月 | 155 | | |\n| 12月 | 161 | | |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/f5e25c4f7f5b54cac26461aa19fb1160.png", "anno": "### 快手日均用户时长（分钟）及同比增速\n| | 日均用户时长 | 同比 |\n| --- | --- | --- |\n| 2021Q1 | 99.3 | 16.5% |\n| 2021Q2 | 106.9 | 25.2% |\n| 2021Q3 | 119.1 | 35.0% |\n| 2021Q4 | 118.9 | 32.3% |\n| 2022Q1 | 128.1 | 29.0% |\n| 2022Q2 | 125 | 17.1% |\n| 2022Q3 | 129 | 8.6% |\n| 2022Q4 | 134 | 12.6% |\n| 2023Q1 | 126.8 | -1.0% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/11f536914a84069f90855e1625caa9e6.png", "anno": "### 2020年省份新增影院数TOP10\n| | 2019年 | 2020年 | 影院总数 |\n| --- | --- | --- | --- |\n| 广东省 | 177 | 105 | 1396 |\n| 江苏省 | 130 | 102 | 1009 |\n| 四川省 | 101 | 71 | 711 |\n| 浙江省 | 83 | 48 | 798 |\n| 山东省 | 79 | 47 | 613 |\n| 河北省 | 59 | 46 | 476 |\n| 河南省 | 81 | 45 | 579 |\n| 辽宁省 | 31 | 45 | 359 |\n| 安徽省 | 51 | 42 | 440 |\n| 江西省 | 49 | 39 | 387 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0bc62517830ceb004ecd3af4f7e3a612.png", "anno": "### 2018年武汉市各区供求关系对比图\n\n| | 供应面积(万$ m^{2} $) | 销售面积(万$ m^{2} $) | 供求比 |\n| --- | --- | --- | --- |\n| 洪山 | 360 | 218 | 1.6 |\n| 汉阳 | 254 | 158 | 1.6 |\n| 黄陂 | 241 | 188 | 1.3 |\n| 江夏 | 210 | 143 | 1.5 |\n| 东湖高新 | 208 | 92 | 2.3 |\n| 新洲 | 187 | 162 | 1.2 |\n| 蔡甸 | 186 | 168 | 1.1 |\n| 东西湖 | 185 | 181 | 1.0 |\n| 江岸 | 139 | 66 | 2.1 |\n| 汉南 | 124 | 99 | 1.3 |\n| 江汉 | 116 | 21 | 5.2 |\n| 经开 | 100 | 66 | 1.5 |\n| 硚口 | 96 | 55 | 1.7 |\n| 青山 | 79 | 79 | 1.0 |\n| 武昌 | 46 | 47 | 1.0 |\n| 东湖风景 | 21 | 14 | 1.7 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/cebf7b0f10db0cf2b1bae9464d26898c.png", "anno": "### 2019年1-10月广东省接待过夜入境游客数及增长率\n\n| | 广东:接待过夜游客-入境游客:当月同比(%)(右轴)-% | 广东:接待过夜游客:入境游客:当月值(人次)(左轴)-人次 |\n| --- | --- | --- |\n| 2019-01 | -3 | 2372445 |\n| 2019-02 | 3.82 | 2700890 |\n| 2019-03 | 8.49 | 2692978 |\n| 2019-04 | 13.89 | 3527810 |\n| 2019-05 | 23.06 | 3482497 |\n| 2019-06 | -3.32 | 2753947 |\n| 2019-07 | -11.3 | 2798969 |\n| 2019-08 | -1.37 | 2810520 |\n| 2019-09 | 0.68 | 3216811 |\n| 2019-10 | -2.46 | 3912351 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/36f7868848d16326337109c75ec594dd.png", "anno": "### 图1: 有赞收入及走势（收入单位：百万元）\n\n| | 总收入 | 同比 |\n| --- | --- | --- |\n| 19Q4 | 378.8 | 68.8% |\n| 20Q1 | 373.4 | 48.9% |\n| 20Q2 | 451.2 | 75.1% |\n| 20Q3 | 482.0 | 89.9% |\n| 20Q4 | 514.1 | 35.7% |\n| 21Q1 | 417 | 11.8% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/7d82ab82b5211ea91d311e4f9441fc86.png", "anno": "### 2018年1月-2019年11月国家用陶瓷出口数量及当月同比\n#### 家用陶瓷：出口数量：当月值(万吨)(左轴) \n\n| | |\n| --- | --- |\n| 2018-01 | 32 |\n| 2018-02 | 25 |\n| 2018-03 | 18 |\n| 2018-04 | 28 |\n| 2018-05 | 32 |\n| 2018-06 | 32 |\n| 2018-07 | 33 |\n| 2018-08 | 35 |\n| 2018-09 | 36 |\n| 2018-10 | 34 |\n| 2018-11 | 33 |\n| 2018-12 | 33 |\n| 2019-01 | 40 |\n| 2019-02 | 18 |\n| 2019-03 | 24 |\n| 2019-04 | 31 |\n| 2019-05 | 35 |\n| 2019-06 | 33 |\n| 2019-07 | 36 |\n| 2019-08 | 36 |\n| 2019-09 | 35 |\n| 2019-10 | 34 |\n| 2019-11 | 34 |\n#### 家用陶瓷：出口数量:：当月同比(%)(右轴)\n| | |\n| --- | --- |\n| 2018-01 | 3.5 |\n| 2018-02 | 90.1 |\n| 2018-03 | -25.1 |\n| 2018-04 | -3.5 |\n| 2018-05 | 4.1 |\n| 2018-06 | 8.6 |\n| 2018-07 | 8.3 |\n| 2018-08 | 5 |\n| 2018-09 | 11.6 |\n| 2018-10 | 12.8 |\n| 2018-11 | 11.2 |\n| 2018-12 | 2.9 |\n| 2019-01 | 28.2 |\n| 2019-02 | -23.5 |\n| 2019-03 | 32 |\n| 2019-04 | 14.1 |\n| 2019-05 | 13.1 |\n| 2019-06 | 4.3 |\n| 2019-07 | 8.6 |\n| 2019-08 | 5.2 |\n| 2019-09 | -1.2 |\n| 2019-10 | 1.2 |\n| 2019-11 | 8.6 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/4b08e78d9900eb99cf4431aa71091f66.png", "anno": "| | 经济效益 | 农产品电商交易环境 | 农村电商从业情况 | 运营能力 | 贫困改善情况 | 总分 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 尚志县 | 20 | 20 | 16 | 18 | 17.2 | 91.2 |\n| 肇源县 | 20 | 21 | 15 | 18 | 16.8 | 90.8 |\n| 海林县 | 19 | 20 | 14 | 19 | 16.8 | 88.8 |\n| 集贤县 | 18 | 20 | 14 | 20 | 16.4 | 88.4 |\n| 延寿县 | 20 | 20 | 13 | 19 | 15.8 | 87.8 |\n| 嫩江县 | 18.5 | 20 | 13 | 18 | 16.9 | 87.4 |\n| 桦南县 | 18 | 20 | 14 | 18 | 17.2 | 87.2 |\n| 拜泉县 | 17.2 | 20 | 13 | 18 | 17 | 85.2 |\n| 庆安县 | 17.4 | 20 | 13 | 19 | 15 | 84.4 |\n| 富裕县 | 17.5 | 20 | 13 | 19 | 13.5 | 83 |\n| 勃利县 | 17.2 | 20 | 11 | 18 | 15 | 81.2 |\n| 明水县 | 16.67 | 18 | 16 | 15 | 14 | 79.67 |\n| 方正县 | 16.8 | 20 | 12 | 16 | 14 | 78.8 |\n| 泰来县 | 16.7 | 17 | 14 | 15 | 14.7 | 77.4 |\n| 克东县 | 17.4 | 15 | 15 | 14 | 15 | 76.4 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/fe2fb668fd4787c1409808d916259b6e.png", "anno": "### 近五个工作日央行逆回购操作\n#### 数据来源：iFinD，单位：亿元，注：负数表示回笼。\n\n| | 投放-亿元 | 到期-亿元 | 净投放-亿元 |\n| --- | --- | --- | --- |\n| 11月24日 | 6640 | -3520 | 3120 |\n| 11月27日 | 5010 | -2050 | 2960 |\n| 11月28日 | 4150 | -3190 | 1050 |\n| 11月29日 | 4380 | -4600 | -220 |\n| 11月30日 | 6630 | -5190 | 1440 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/2e98da869101a6cb8432260932572891.png", "anno": "### 小鹏汽车22年销量组成统计 \n\n| | G3i - 单位:辆 | P7 - 单位:辆 | P5 - 单位:辆 | G9 - 单位:辆 | 22年月销量 - 单位:辆 | 21年月销量 - 单位:辆0 | 20年月销量 - 单位:辆 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1月 | 2200 | 6700 | 4022 | 0 | 12922 | 6000 | 600 |\n| 2月 | 700 | 3500 | 2025 | 0 | 6225 | 2200 | 0 |\n| 3月 | 1850 | 9200 | 4364 | 0 | 15414 | 5000 | 800 |\n| 4月 | 1700 | 3800 | 3502 | 0 | 9002 | 5100 | 1000 |\n| 5月 | 2200 | 4200 | 3725 | 0 | 10125 | 5600 | 1100 |\n| 6月 | 1600 | 8000 | 5695 | 0 | 15295 | 6500 | 1100 |\n| 7月 | 1600 | 6400 | 3524 | 0 | 11524 | 8000 | 2200 |\n| 8月 | 1200 | 5600 | 2778 | 0 | 9578 | 7200 | 2600 |\n| 9月 | 1250 | 4600 | 2400 | 218 | 8468 | 10300 | 3400 |\n| 10月 | 800 | 2100 | 1600 | 601 | 5101 | 10100 | 2934 |\n| 11月 | 1000 | 1900 | 1400 | 1511 | 5811 | 15500 | 4600 |\n| 12月 | 0 | 0 | 0 | 0 | 9850 | 16000 | 6400 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/f25252dff9eae6dc560dabf15a0f432d.png", "anno": "### 2020年1~7月海口机场航班量及其恢复情况\n\n| | 2020年进出港航班量-架次 | 2019年进出港航班量-架次 | 同比恢复率 |\n| --- | --- | --- | --- |\n| 1月 | 15608 | 15505 | |\n| 2月 | 4569 | 14984 | 30.49% |\n| 3月 | 6460 | 15136 | 42.68% |\n| 4月 | 6818 | 12437 | 54.82% |\n| 5月 | 7984 | 12259 | 65.13% |\n| 6月 | 8507 | 11637 | 73.10% |\n| 7月 | 10377 | 12990 | 79.88% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/00293b33df3fb09a75db59d1051d9665.png", "anno": "### 2017-2020年中国社交网络用户规模及使用率\n| | 用户规模 | 使用率 |\n| --- | --- | --- |\n| 2017.6 | 69163 | 92.1% |\n| 2017.12 | 72023 | 93.3% |\n| 2018.6 | 75583 | 94.3% |\n| 2018.12 | 79172 | 95.6% |\n| 2019.6 | 82470 | 96.5% |\n| 2020.3 | 89613 | 99.2% |\n| 2020.6 | 93079 | 99.0% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a8e2f0b4678f0a12dcef7f488436e6b6.png", "anno": "### 2017年一季度我国对外投资情况统计\n\n| | 对外直接投资（亿美元） | 同比增长 |\n| --- | --- | --- |\n| 10月 | 79.1 | 14.3% |\n| 11月 | 157.4 | 76.5% |\n| 12月 | 84.1 | -39.4% |\n| 2017.1-2 | 134.3 | 52.8% |\n| 3月 | 71.1 | -30.1% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/f388d991f30ab3bd0b65cccf1c67c4ce.png", "anno": "### 每日汇客指数\n\n| | 汇客指数 | 同比2019年恢复 |\n| --- | --- | --- |\n| 2/11 | 48.8 | 85.7% |\n| 2/12 | 81.4 | 86.5% |\n| 2/13 | 81.3 | 84.0% |\n| 2/14 | 90.7 | 94.8% |\n| 2/15 | 82.8 | 83.6% |\n| 2/16 | 85.7 | 83.1% |\n| 2/17 | 85.0 | 79.5% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/22c372811a027c51703a8ed58db1f881.png", "anno": "### 南昌近10年常住人口趋势\n\n| | 人口增量 | 人口总量 |\n| --- | --- | --- |\n| 2015年 | 10.92 | 559.66 |\n| 2016年 | 14.96 | 574.62 |\n| 2017年 | 17.46 | 592.08 |\n| 2018年 | 9.54 | 601.62 |\n| 2019年 | 12.43 | 614.05 |\n| 2020年 | 11.53 | 625.58 |\n| 2021年 | 18.17 | 643.75 |\n| 2022年 | 10.06 | 653.81 |\n| 2023年 | 3.01 | 656.82 |\n| 2024年 | 10.22 | 667.04 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/453f935f7f8c4d9651451fcb329b3566.png", "anno": "### 2023～2024年前4个月小鹏部分区域上险量（单位：辆）\n| | 2023年 | 2024年 | 同比（%） |\n| --- | --- | --- | --- |\n| 黑龙江 | 38 | 89 | 134.2% |\n| 吉林 | 110 | 36 | -67.3% |\n| 山西 | 119 | 182 | 52.9% |\n| 辽宁 | 121 | 150 | 24.0% |\n| 内蒙古 | 82 | 159 | 93.9% |\n| 云南 | 339 | 374 | 10.3% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0514e549ce621f43b6ed900e4caa6e35.png", "anno": "### 涨停个数（股次）前五的行业\n| | 6月涨停个数 | 7月涨停个数 | 8月涨停个数 | 9月涨停个数 | 行业区间涨跌幅 |\n| --- | --- | --- | --- | --- | --- |\n| 机械设备 | 31 | 44 | 31 | 16 | -19.45% |\n| 计算机 | 34 | 34 | 35 | 7 | -17.66% |\n| 化工 | 38 | 40 | 33 | 2 | -18.44% |\n| 电子 | 22 | 40 | 16 | 4 | -17.86% |\n| 电气设备 | 26 | 35 | 10 | 14 | -17.71% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/13fa44e56f3b986ed6fa4408dd91ee92.png", "anno": "### 2019年12月4日-2020年1月6日坯布活跃度及涨跌（单位：%）\n\n| | 活跃度:坯布:最新值(%)(左轴)-% | 活跃度:坯布:涨跌(%)(右轴)-% |\n| --- | --- | --- |\n| 2019-12-04 | 3.5 | 0 |\n| 2019-12-09 | 3.5 | 0 |\n| 2019-12-12 | 3.5 | 0 |\n| 2019-12-17 | 3.5 | 0 |\n| 2019-12-23 | 3.5 | 0 |\n| 2019-12-26 | 3.5 | 0 |\n| 2019-12-31 | 4 | 0 |\n| 2020-01-06 | 4.5 | 0 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/f28414c2d6a16d21d6a8872708f6036b.png", "anno": "### 近一年来社会消费品零售总额及分月同比增速\n| | 零售总额（亿元） | 同比增速（%） |\n| --- | --- | --- |\n| 2017年7月 | 29609.8 | 10.4 |\n| 8月 | 30329.7 | 10.1 |\n| 9月 | 30870.3 | 10.3 |\n| 10月 | 34240.9 | 10.0 |\n| 11月 | 34108.2 | 10.2 |\n| 12月 | 34734.1 | 9.4 |\n| 2018年1-2月 | 61081.8 | 9.7 |\n| 3月 | 29193.6 | 10.1 |\n| 4月 | 28541.9 | 9.4 |\n| 5月 | 30359.1 | 8.5 |\n| 6月 | 30841.6 | 9.0 |\n| 7月 | 30734 | 8.8 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/c99f31066b12993be631988a1a7fb6f6.png", "anno": "### 移动ARPU值2017-2024年\n\n| | 移动ARPU（人民币元/户/月） | 同比 |\n| --- | --- | --- |\n| 2024 | 48.5 | -1.6% |\n| 2023 | 49.3 | 0.6% |\n| 2022 | 49 | 0.4% |\n| 2021 | 48.8 | 3.0% |\n| 2020 | 47.4 | -3.5% |\n| 2019 | 49.1 | -7.5% |\n| 2018 | 53.1 | -8.0% |\n| 2017 | 57.7 | |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/505c89573fae35783d4e12c38e14a515.png", "anno": "### 煤炭进口月度走势图\n\n| | 当月进口量（万吨） | 当月增速（%） |\n| --- | --- | --- |\n| 11月 | 2697 | 66.7 |\n| 12月 | 2684 | 52.1 |\n| 2017·· | 2491 | 64.4 |\n| 2月 | 1768 | 30.5 |\n| 3月 | 2209 | 12.2 |\n| 4月 | 2478 | 31.9 |\n| 5月 | 2219 | 16.6 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/858bae01267f9f25dd439e98166bfff8.png", "anno": "### 2020年至今南京季度商品房供求走势\n| | 供应面积($ m^{2} $) | 成交面积($ m^{2} $) | 成交均价($ \\text{元}/m^{2} $) |\n| --- | --- | --- | --- |\n| 2020.Q1 | 150 | 162.5 | 25000 |\n| Q2 | 350 | 312.5 | 25630 |\n| Q3 | 438 | 300 | 25000 |\n| Q4 | 512 | 363 | 26255 |\n| 2021.Q1 | 275 | 387.5 | 29400 |\n| Q2 | 500 | 475 | 29380 |\n| Q3 | 387 | 250 | 26250 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/22a37d4eac299c0f4fd8e7b6440d154d.png", "anno": "### 2024年乘用车市场周终端销量走势图单位：万辆\n\n| | 燃油车 | 新能源 | 大盘- | 新能源渗透率 |\n| --- | --- | --- | --- | --- |\n| 第1周 | 30.1 | 13.6 | 43.7 | 31.12% |\n| 第2周 | 30.1 | 13.4 | 43.5 | 30.10% |\n| 第3周 | 32.1 | 14.4 | 46.5 | 30.97% |\n| 第4周 | 36.3 | 15.8 | 52.1 | 23.99% |\n| 第5周 | 39.5 | 16.1 | 55.6 | 28.96% |\n| 第6、7周 | 25.8 | 10.7 | 36.5 | 23.01% |\n| 第8周 | 15 | 11.1 | 26.1 | 42.53% |\n| 第9周 | 16.5 | 13.1 | 29.6 | 44.25% |\n| 第10周 | 15.7 | 14.7 | 30.4 | 48.35% |\n| 第11周 | 18.6 | 15.8 | 34.4 | 45.93% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/e24730369a134487eb4f165fad592fcc.png", "anno": "### 2024年1月-2025年5月南京全市新房供求量价走势\n| | 供应面积(万$ m^{2} $) | 成交面积(万$ m^{2} $) | 成交均价(元/$ m^{2} $) |\n| --- | --- | --- | --- |\n| 2024.1 | 24 | 18 | 28000 |\n| 2024.2 | 6 | 14 | 23000 |\n| 2024.3 | 19 | 28 | 25000 |\n| 2024.4 | 23 | 33 | 25050 |\n| 2024.5 | 34 | 32 | 26000 |\n| 2024.6 | 31 | 40 | 27400 |\n| 2024.7 | 19 | 41 | 31300 |\n| 2024.8 | 20 | 30 | 29200 |\n| 2024.9 | 28 | 36 | 26000 |\n| 2024.10 | 23 | 40 | 30500 |\n| 2024.11 | 32 | 55 | 30000 |\n| 2024.12 | 39 | 63 | 33800 |\n| 2025.1 | 9 | 23 | 25670 |\n| 2025.2 | 5 | 20 | 25770 |\n| 2025.3 | 34 | 35 | 28170 |\n| 2025.4 | 25 | 30 | 27900 |\n| 2025.5 | 15 | 26 | 27000 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/50f89bee9561a874954dc0ea5bf35f6f.png", "anno": "### 南昌市近十周住宅成交、供应走势图\n\n| | 供应面积（万$ m^{2} $） | 成交面积（万$ m^{2} $） | 成交均价（元/$ m^{2} $） |\n| --- | --- | --- | --- |\n| 8.31-9.6 | 3.26 | 8.25 | 14376 |\n| 9.7-9.13 | 15.91 | 5.52 | 14138 |\n| 9.14-9.20 | 15.51 | 7.23 | 13873 |\n| 9.21-9.27 | 9.76 | 6.96 | 14271 |\n| 9.28-10.4 | 18.26 | 4.97 | 14130 |\n| 10.5-10.11 | 0 | 6.08 | 13726 |\n| 10.12-10.18 | 10.58 | 10.36 | 13492 |\n| 10.19-10.25 | 9.24 | 10.19 | 13977 |\n| 10.26-11.1 | 3.42 | 14.39 | 13612 |\n| 11.2-11.8 | 4.25 | 7.87 | 13160 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/dd4ffa7fdd41ee261a786e76d998e72e.png", "anno": "| 入库时间 | 当前金额 | 前期金额 |\n| --- | --- | --- |\n| 2015-1 | 650百万 | 610百万 |\n| 2015-2 | 1,100百万 | 990百万 |\n| 2015-3 | 1,070百万 | 950百万 |\n| 2015-4 | 990百万 | 930百万 |\n| 2016-1 | 640百万 | 650百万 |\n| 2016-2 | 1,150百万 | 1,010百万 |\n| 2016-3 | 1,200百万 | 1,070百万 |\n| 2016-4 | 1,040百万 | 1,000百万 |\n| 2017-1 | 900百万 | 700百万 |\n| 2017-2 | 1,350百万 | 1,140百万 |\n| 2017-3 | 1,270百万 | 1,200百万 |\n| 2017-4 | 810百万 | 700百万 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3e49659d34d779a07b5b8ffa9285b99b.png", "anno": "### 2020年1~7月三亚机场航班量及其恢复情况\n\n| | 2020年进出港航班量-架次 | 2019年进出港航班量-架次 | 同比恢复率 |\n| --- | --- | --- | --- |\n| 1月 | 12335 | 11571 | |\n| 2月 | 3269 | 10919 | 29.94% |\n| 3月 | 4671 | 11407 | 40.05% |\n| 4月 | 5724 | 9223 | 62.06% |\n| 5月 | 6978 | 8943 | 78.03% |\n| 6月 | 7804 | 8767 | 89.02% |\n| 7月 | 9269 | 9733 | 95.23% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/d66e06846da735c5085c706946572eb0.png", "anno": "### 2018-2023年全国软件量对比图\n\n| | 登记量 | 增速 |\n| --- | --- | --- |\n| 2018年 | 1104839 | |\n| 2019年 | 1484448 | 34.36% |\n| 2020年 | 1722904 | 16.06% |\n| 2021年 | 2280063 | 32.34% |\n| 2022年 | 1835341 | -19.50% |\n| 2023年 | 2495213 | 35.95% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0915e6b419b005f01c571b234ea7fe3e.png", "anno": "### 国债收益率曲线\n| | 周变化(右轴) | 2022/10/28 | 2022/9/30 | 2022/6/30 | 2021/12/31 |\n| --- | --- | --- | --- | --- | --- |\n| 1M | 4.40 | 1.33 | 1.49 | 1.51 | 1.96 |\n| 3M | 1.10 | 1.65 | 1.60 | 1.60 | 2.00 |\n| 6M | -0.60 | 1.73 | 1.81 | 1.80 | 2.15 |\n| 9M | -1.00 | 1.74 | 1.81 | 1.88 | 2.17 |\n| 1Y | -3.00 | 1.75 | 1.85 | 1.95 | 2.25 |\n| 3Y | -3.80 | 2.25 | 2.34 | 2.45 | 2.45 |\n| 5Y | -5.80 | 2.43 | 2.58 | 2.65 | 2.59 |\n| 7Y | -6.20 | 2.66 | 2.75 | 2.83 | 2.76 |\n| 10Y | -6.20 | 2.66 | 2.75 | 2.82 | 2.76 |\n| 30Y | -7.80 | 3.08 | 3.18 | 3.29 | 3.32 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/d6801926c1a8627135324d0831d59485.png", "anno": "### 2022Q1-2024Q1 爱奇艺内容成本数据\n| | 内容成本（亿元人民币） | 营收（亿元人民币） | 内容成本/营收 |\n| --- | --- | --- | --- |\n| 2022Q1 | 44 | 73 | 60.27% |\n| 2022Q2 | 39 | 67 | 58.21% |\n| 2022Q3 | 43 | 75 | 57.33% |\n| 2022Q4 | 39 | 76 | 51.32% |\n| 2023Q1 | 42 | 83 | 50.60% |\n| 2023Q2 | 41 | 78 | 52.56% |\n| 2023Q3 | 42 | 80 | 52.50% |\n| 2023Q4 | 37 | 77 | 48.05% |\n| 2024Q1 | 40 | 79 | 50.63% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/c474dc8fed371e75b727de08b2c078b1.png", "anno": "### 图3：拼多多单季度毛利及毛利率\n| | 毛利(亿元) | 毛利率 |\n| --- | --- | --- |\n| 20Q1 | 47 | 72.0% |\n| 20Q2 | 95 | 78.2% |\n| 20Q3 | 109 | 77.1% |\n| 20Q4 | 150 | 56.6% |\n| 21Q1 | 114 | 51.5% |\n| 21Q2 | 151 | 65.7% |\n| 21Q3 | 149 | 69.5% |\n| 21Q4 | 207 | 76.1% |\n| 22Q1 | 166 | 69.9% |\n| 22Q2 | 235 | 74.7% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/80d286acafdbe875922860ac6a4aa7eb.png", "anno": "| | 周成交套数 | 成交均价 |\n| --- | --- | --- |\n| 1 (Jan) | 1481 | 31464 |\n| 2 (Jan) | 1825 | 27327 |\n| 3 (Jan) | 2195 | 26661 |\n| 4 (Jan) | 2189 | 27928 |\n| 5 (Feb) | 2205 | 34313 |\n| 6 (Feb) | 2242 | 29922 |\n| 7 (Feb) | 1695 | 30877 |\n| 8 (Feb) | 171 | 30856 |\n| 9 (Mar) | 470 | 34005 |\n| 10 (Mar) | 1123 | 26693 |\n| 11 (Mar) | 1599 | 28344 |\n| 12 (Mar) | 1785 | 32716 |\n| 13 (Mar) | 1796 | 34195 |\n| 14 (Apr) | 1893 | 36504 |\n| 15 (Apr) | 1681 | 30124 |\n| 16 (Apr) | 2347 | 33098 |\n| 17 (Apr) | 2725 | 29065 |\n| 18 (May) | 2441 | 36865 |\n| 19 (May) | 2716 | 36260 |\n| 20 (May) | 3257 | 32805 |\n| 21 (May) | 3644 | 30909 |\n| 22 (May) | 2950 | 39382 |\n| 23 (Jun) | 3689 | 37547 |\n| 24 (Jun) | 3283 | 35232 |\n| 25 (Jun) | 4010 | 33410 |\n| 26 (Jun) | 3112 | 39727 |\n| 27 (Jul) | 3597 | 36526 |\n| 28 (Jul) | 3619 | 36417 |\n| 29 (Jul) | 3562 | 34556 |\n| 30 (Jul) | 4577 | 34991 |\n| 31 (Jul) | 3326 | 33626 |\n| 32 (Aug) | 2858 | 38147 |\n| 33 (Aug) | 2905 | 32440 |\n| 34 (Aug) | 2654 | 37763 |\n| 35 (Aug) | 2290 | 39842 |\n| 36 (Sep) | 1738 | 40355 |\n| 37 (Sep) | 2111 | 39329 |\n| 38 (Sep) | 2340 | 39923 |\n| 39 (Sep) | 2907 | 41669 |\n| 40 (Oct) | 1910 | 43084 |\n| 41 (Oct) | 670 | 43011 |\n| 42 (Oct) | 1676 | 36629 |\n| 43 (Oct) | 2104 | 37044 |\n| 44 (Nov) | 2238 | 42324 |\n| 45 (Nov) | 2236 | 42452 |\n| 46 (Nov) | 2258 | 38728 |\n| 47 (Nov) | 2202 | 40840 |\n| 48 (Dec) | 2358 | 43924 |\n| 49 (Dec) | 2463 | 45524 |\n| 50 (Dec) | 2498 | 45574 |\n| 51 (Dec) | 2252 | 47607 |\n| 52 (Dec) | 2915 | 47360 |\n| 1 (Jan) | 2591 | 47742 |\n| 2 (Jan) | 2886 | 47587 |\n| 3 (Jan) | 2963 | 44540 |\n| 4 (Jan) | 4166 | 46215 |\n| 5 (Jan) | 2726 | 48942 |\n| 6 (Feb) | 1943 | 49868 |\n| 7 (Feb) | 44 | 49821 |\n| 8 (Feb) | 1445 | 49834 |\n| 9 (Feb) | 3222 | 53052 |\n| 10 (Mar) | 2864 | 52629 |\n| 11 (Mar) | 2812 | 51845 |\n| 12 (Mar) | 3807 | 50813 |\n| 13 (Mar) | 3600 | 51642 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/6d496ff210640ad54475ef2bb977c550.png", "anno": "### Inventory & Inventory Turnover\n\n| | Inventory | Inventory Turnover |\n| --- | --- | --- |\n| 1995 | 5 | 1.5 |\n| 1996 | 8 | 1.5 |\n| 1997 | 10 | 1.5 |\n| 1998 | 12 | 2.1 |\n| 1999 | 15 | 2.2 |\n| 2000 | 23 | 2.3 |\n| 2001 | 25 | 2.2 |\n| 2002 | 30 | 2.2 |\n| 2003 | 35 | 2.0 |\n| 2004 | 50 | 2.0 |\n| 2005 | 70 | 1.6 |\n| 2006 | 80 | 1.7 |\n| 2007 | 70 | 1.7 |\n| 2008 | 60 | 0.9 |\n| 2009 | 50 | 0.7 |\n| 2010 | 50 | 0.6 |\n| 2011 | 50 | 0.6 |\n| 2012 | 60 | 0.7 |\n| 2013 | 70 | 0.8 |\n| 2014 | 80 | 0.8 |\n| 2015 | 90 | 0.9 |\n| 2016 | 100 | 0.9 |\n| 2017 | 110 | 1.0 |\n| 2018 | 120 | 1.2 |\n| 2019 | 130 | 1.0 |\n| 2020 | 140 | 1.0 |\n| 2021 | 160 | 1.1 |\n| 2022 | 220 | 1.2 |\n| 2023 | 200 | 1.3 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/98213a0e4bce92eff045a32f7bf99664.png", "anno": "### Source: Real Capital Analytics (RCA)\n\n| | Apartment Sales Volume (Left Axis, $)-Investment Volume (in Billions) | Share of all CRE Sales (Right Axis, %)-Investment Volume (in Billions) |\n| --- | --- | --- |\n| 2001 | 20 | 23 |\n| 2002 | 25 | 23.5 |\n| 2003 | 32 | 24.2 |\n| 2004 | 50 | 24.5 |\n| 2005 | 100 | 26.5 |\n| 2006 | 99 | 23 |\n| 2007 | 104 | 18 |\n| 2008 | 40 | 23.5 |\n| 2009 | 15 | 24 |\n| 2010 | 35 | 23 |\n| 2011 | 58 | 22 |\n| 2012 | 85 | 27.8 |\n| 2013 | 100 | 27 |\n| 2014 | 112 | 25 |\n| 2015 | 150 | 26.5 |\n| 2016 | 160 | 31 |\n| 2017 | 155 | 31 |\n| 2018 | 178 | 30.2 |\n| 2019 | 193 | 32 |\n| 2020 | 148 | 34 |\n| 2021 | 335 | 41 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/bac820f43c4e461f25234f83aeb36da6.png", "anno": "| | 月度交易电量-亿千瓦时 | 月度交易平均价差-元/兆瓦时 |\n| --- | --- | --- |\n| Jan-19 | 43 | -35 |\n| Feb-19 | 28 | -37 |\n| Mar-19 | 49 | -34 |\n| Apr-19 | 46 | -29 |\n| May-19 | 55 | -29.5 |\n| Jun-19 | 49.5 | -30.5 |\n| Jul-19 | 48 | -30 |\n| Agu-19 | 47 | -29.5 |\n| Sep-19 | 51 | -29.5 |\n| Oct-19 | 53 | -27.5 |\n| Nov-19 | 49.3 | -27.5 |\n| Dec-19 | 44 | -26 |\n| Jan-20 | 18 | -35 |\n| Feb-20 | 29.5 | -34 |\n| Mar-20 | 5 | -35 |\n| Apr-20 | 11 | -32 |\n| May-20 | 12 | -34 |\n| Jun-20 | 23 | -29.5 |\n| Jul-20 | 27 | -29.5 |\n| Agu-20 | 7 | -130 |\n| Sep-20 | 52 | -29 |\n| Oct-20 | 47 | -26 |\n| Nov-20 | 51 | -30 |\n| Dec-20 | 43 | -40 |\n| Jan-21 | 73 | -31 |\n| Feb-21 | 39 | -40 |\n| Mar-21 | 60 | -30 |\n| Apr-21 | 64 | -29.5 |\n| May-21 | 49.5 | -40 |\n| Jun-21 | 82 | -19 |\n| Jul-21 | 78 | -26 |\n| Agu-21 | 83 | -13 |\n| Sep-21 | 75.5 | -10 |\n| Oct-21 | 30 | 41 |\n| Nov-21 | 2 | 65 |\n| Dec-21 | 0.5 | 20 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/dbac776c731be586f653cbc36b49022f.png", "anno": "| | 能繁母猪存栏-万头 | 能繁母猪环比变化(右轴)-% |\n| --- | --- | --- |\n| Jan 19 | | -3.6 |\n| Feb 19 | 2750 | -4.9 |\n| Mar 19 | 2700 | -2.3 |\n| Apr 19 | 2620 | -2.5 |\n| May 19 | 2500 | -4.2 |\n| Jun 19 | 2380 | -5.0 |\n| Jul 19 | 2180 | -8.8 |\n| Aug 19 | 1980 | -9.0 |\n| Sep 19 | 1920 | -2.7 |\n| Oct 19 | 1930 | 0.7 |\n| Nov 19 | 2000 | 4.0 |\n| Dec 19 | 2060 | 2.2 |\n| Jan 20 | 2090 | 1.2 |\n| Feb 20 | 2110 | 1.8 |\n| Mar 20 | 2180 | 2.8 |\n| Apr 20 | 2180 | 2.8 |\n| May 20 | 2180 | 3.9 |\n| Jun 20 | 3630 | 3.9 |\n| Jul 20 | 3630 | 4.0 |\n| Aug 20 | 3630 | 3.5 |\n| Sep 20 | 3820 | 3.5 |\n| Oct 20 | 3970 | 3.2 |\n| Nov 20 | 3970 | 3.8 |\n| Dec 20 | 4180 | 3.8 |\n| Jan 21 | 4180 | 1.1 |\n| Feb 21 | 4180 | 1.0 |\n| Mar 21 | 4320 | 1.6 |\n| Apr 21 | 4320 | 1.1 |\n| May 21 | 4320 | 0.8 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/65f3725cec1c6cc1274ce0a2984a722c.png", "anno": "| | 私募成交（20%换手）/市场成交 | 沪深300（右轴） | 中证500（右轴） | 中证1000（右轴） |\n| --- | --- | --- | --- | --- |\n| Jun-18 | 2.00% | 0.25 | 0.3 | 0.27 |\n| | 2.00% | 0.3 | 0.33 | 0.36 |\n| Aug-18 | 3.0% | 0.33 | 0.34 | 0.35 |\n| | 3.50% | 0.37 | 0.35 | 0.37 |\n| Oct-18 | 3.2% | 0.40 | 0.35 | 0.35 |\n| | 2.6% | 0.43 | 0.43 | 0.46 |\n| Dec-18 | 3.6% | 0.30 | 0.36 | 0.37 |\n| | 3.2% | 0.30 | 0.35 | 0.37 |\n| Feb-19 | 1.6% | 0.30 | 0.34 | 0.37 |\n| | 1.2% | 0.33 | 0.32 | 0.34 |\n| Apr-19 | 1.3% | 0.33 | 0.37 | 0.35 |\n| | 2.3% | 0.36 | 0.34 | 0.33 |\n| Jun-19 | 2.4% | 0.35 | 0.38 | 0.39 |\n| | 3.4% | 0.24 | 0.32 | 0.35 |\n| Aug-19 | 3.7% | 0.18 | 0.27 | 0.32 |\n| | 3.2% | 0.24 | 0.33 | 0.37 |\n| Oct-19 | 4.8% | 0.17 | 0.29 | 0.31 |\n| | 6.4% | 0.16 | 0.30 | 0.34 |\n| Dec-19 | 5.0% | 0.13 | 0.27 | 0.33 |\n| | 3.6% | 0.09 | 0.15 | 0.25 |\n| Feb-20 | 2.7% | 0.14 | 0.21 | 0.28 |\n| | 3.2% | 0.25 | 0.35 | 0.36 |\n| Apr-20 | 5.0% | 0.37 | 0.37 | 0.43 |\n| | 5.2% | 0.17 | 0.23 | 0.34 |\n| Jun-20 | 4.8% | 0.16 | 0.22 | 0.33 |\n| | 2.9% | 0.17 | 0.20 | 0.31 |\n| Aug-20 | 4.0% | 0.39 | 0.35 | 0.39 |\n| | 6.4% | 0.24 | 0.25 | 0.33 |\n| Oct-20 | 7.6% | 0.18 | 0.21 | 0.33 |\n| | 9.0% | 0.18 | 0.19 | 0.32 |\n| Dec-20 | 11.6% | 0.19 | 0.20 | 0.31 |\n| | 8.8% | 0.23 | 0.26 | 0.36 |\n| Feb-21 | 11.1% | 0.36 | 0.35 | 0.45 |\n| | 14.8% | 0.38 | 0.36 | 0.44 |\n| Apr-21 | 16.0% | 0.32 | 0.33 | 0.39 |\n| | 14.2% | 0.22 | 0.26 | 0.34 |\n| Jun-21 | 13.2% | 0.24 | 0.27 | 0.34 |\n| | 10.8% | 0.24 | 0.28 | 0.35 |\n| Aug-21 | 9.8% | 0.36 | 0.37 | 0.44 |\n| | 9.6% | 0.39 | 0.45 | 0.44 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2f222aeb16b045daa05f093ada5a1907.png", "anno": "### OPEC+产量协议调整及历史完成情况\n\n| | OPEC+产量:低于产量配额-千桶/天 | OPEC+产量:高于产量配额-千桶/天 | 协议产量-千桶/天 |\n| --- | --- | --- | --- |\n| Nov 21 | | 40930 | 39700 |\n| Dec 21 | | 41120 | 40100 |\n| Jan 22 | | 41360 | 40500 |\n| Feb 22 | | 41630 | 40900 |\n| Mar 22 | | 41700 | 41320 |\n| Apr 22 | 40740 | | 41700 |\n| May 22 | 41070 | | 42100 |\n| Jun 22 | 41500 | | 42550 |\n| Jul 22 | 41980 | | 43200 |\n| Aug 22 | 41970 | | 43820 |\n| Sep 22 | 42250 | | 43930 |\n| Oct 22 | 42300 | | 43820 |\n| Nov 22 | | 41980 | 41840 |\n| Dec 22 | | 42100 | 41840 |\n| Jan 23 | | 42130 | 41840 |\n| Feb 23 | | 42400 | 41840 |\n| Mar 23 | 41860 | | 41840 |\n| Apr 23 | 41280 | | 41840 |\n| May 23 | 40560 | | 40700 |\n| Jun 23 | 40530 | | 40700 |\n| Jul 23 | 39680 | | 39700 |\n| Aug 23 | 39400 | | 39700 |\n| Sep 23 | | 39900 | 39700 |\n| Oct 23 | | 39900 | 39700 |\n| Nov 23 | | | 39700 |\n| Dev 13 | | | 39700 |\n| Jan 24 | | | 40600 |\n| Feb 24 | | | 40600 |\n| Mar 24 | | | 40600 |\n| Apr 24 | | | 40600 |\n| Man 24 | | | 40600 |\n| Jun 24 | | | 40600 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/b43b5342a3789a32a9c3e3f27673ebda.png", "anno": "| | 单季度Gaming收入-百万美元 | 同比增长（右轴） |\n| --- | --- | --- |\n| 1QCY14 | 452 | |\n| 2QCY14 | 407 | |\n| 3QCY14 | 519 | |\n| 4QCY14 | 633 | |\n| 1QCY15 | 593 | 25% |\n| 2QCY15 | 648 | 59% |\n| 3QCY15 | 744 | 42% |\n| 4QCY15 | 796 | 26% |\n| 1QCY16 | 685 | 17% |\n| 2QCY16 | 770 | 18% |\n| 3QCY16 | 1222 | 63% |\n| 4QCY16 | 1333 | 66% |\n| 1QCY17 | 1018 | 50% |\n| 2QCY17 | 1178 | 52% |\n| 3QCY17 | 1540 | 26% |\n| 4QCY17 | 1722 | 29% |\n| 1QCY18 | 1700 | 67% |\n| 2QCY18 | 1777 | 53% |\n| 3QCY18 | 1750 | 17% |\n| 4QCY18 | 944 | -46% |\n| 1QCY19 | 1048 | -39% |\n| 2QCY19 | 1296 | -29% |\n| 3QCY19 | 1648 | -6% |\n| 4QCY19 | 1481 | 56% |\n| 1QCY20 | 1326 | 27% |\n| 2QCY20 | 1630 | 26% |\n| 3QCY20 | 2259 | 36% |\n| 4QCY20 | 2481 | 68% |\n| 1QCY21 | 2740 | 106% |\n| 2QCY21 | 3037 | 85% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/24ee2238e3ea21b0aa9765c9d92056a8.png", "anno": "### Digi-Capital mobile internet investments ($B)\n| | Total- Quarterly Transaction Value ($B) | LTM Total- Last 12 Month Total Transaction Value ($B) |\n| --- | --- | --- |\n| Q1 2011 | 1.8 | |\n| Q2 2011 | 2.2 | |\n| Q3 2011 | 2.4 | |\n| Q4 2011 | 1.4 | 7.5 |\n| Q1 2012 | 1.9 | 7.8 |\n| Q2 2012 | 2.4 | 8 |\n| Q3 2012 | 2.2 | 7.8 |\n| Q4 2012 | 1.6 | 8 |\n| Q1 2013 | 1.9 | 8 |\n| Q2 2013 | 2.3 | 8.1 |\n| Q3 2013 | 4.1 | 10 |\n| Q4 2013 | 6.5 | 15 |\n| Q1 2014 | 5 | 18 |\n| Q2 2014 | 9.6 | 25 |\n| Q3 2014 | 7.8 | 28.5 |\n| Q4 2014 | 13 | 35 |\n| Q1 2015 | 14 | 44 |\n| Q2 2015 | 16 | 50 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/94259d6a0b81787cec2b96e0639a7682.png", "anno": "### UK new car registrations - Jan-Nov YTD\n| | BEV | Total |\n| --- | --- | --- |\n| 2010 | 200 | 1760000 |\n| 2011 | 1100 | 1690000 |\n| 2012 | 1100 | 1920000 |\n| 2013 | 2400 | 2100000 |\n| 2014 | 5700 | 2300000 |\n| 2015 | 8400 | 2440000 |\n| 2016 | 9000 | 2500000 |\n| 2017 | 12500 | 2380000 |\n| 2018 | 14000 | 2230000 |\n| 2019 | 32900 | 2160000 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/b34fd5b7a26422790eebf8a55d8f9b32.png", "anno": "| | 水电利用小时-(小时) | 同比增幅（%） |\n| --- | --- | --- |\n| Mar-15 | 600 | 11.0% |\n| May-15 | 1150 | 5.5% |\n| Jul-15 | 1900 | 3.5% |\n| Sep-15 | 2650 | -3.0% |\n| Nov-15 | 3250 | -4.5% |\n| Jan-16 | 0 | 11.0% |\n| Mar-16 | 480 | 13.5% |\n| May-16 | 1300 | 14.0% |\n| Jul-16 | 2100 | 9.0% |\n| Sep-16 | 2780 | 5.0% |\n| Nov-16 | 3310 | 3.0% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/c922150f84f32624a977af83ebcb921a.png", "anno": "### SEAJ: Annual Japanese Semiconductor Equipment Billings (2005 - 2021)\n\n| | ¥ billion | YoY change |\n| --- | --- | --- |\n| 2005 | 1450.0 | 0.0% |\n| 2006 | 1700.0 | 16.0% |\n| 2007 | 1930.0 | 15.0% |\n| 2008 | 1200.0 | -36.0% |\n| 2009 | 510.0 | -58.0% |\n| 2010 | 1080.0 | 108.0% |\n| 2011 | 1270.0 | 17.0% |\n| 2012 | 1150.0 | -9.0% |\n| 2013 | 950.0 | -19.0% |\n| 2014 | 1300.0 | 38.0% |\n| 2015 | 1370.0 | 5.0% |\n| 2016 | 1380.0 | 0.0% |\n| 2017 | 1860.0 | 36.0% |\n| 2018 | 2320.0 | 24.0% |\n| 2019 | 2020.0 | -14.0% |\n| 2020 | 2240.0 | 12.0% |\n| 2021 | 3080.0 | 37.0% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/8f3eab3cd0328dc4bd91d29eb76c3b93.png", "anno": "| | OPEC crude production-mb/d | Required OPEC crude-mb/d |\n| --- | --- | --- |\n| 1Q16 | 32.0 | 30.2 |\n| 2Q16 | 32.2 | 31.5 |\n| 3Q16 | 32.5 | 33.0 |\n| 4Q16 | 33.1 | 32.3 |\n| 1Q17 | 32.0 | 31.2 |\n| 2Q17 | | 31.5 |\n| 3Q17 | | 33.0 |\n| 4Q17 | | 32.3 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/3fa0078966edfe91deaccc381daf4fc6.png", "anno": "### 附息国债月度新增名义供给量预测\n\n| | 财政部月度普通附息国债供给-($bn) | 美联储月度购买量-($bn) | 月度新增净供给-($bn) |\n| --- | --- | --- | --- |\n| Jan-21 | 236 | -74 | 162 |\n| Feb-21 | 202 | -74 | 130 |\n| Mar-21 | 235 | -74 | 160 |\n| Apr-21 | 238 | -74 | 164 |\n| May-21 | 212 | -74 | 138 |\n| Jun-21 | 228 | -74 | 153 |\n| Jul-21 | 215 | -74 | 141 |\n| Aug-21 | 191 | -74 | 117 |\n| Sep-21 | 220 | -74 | 146 |\n| Oct-21 | 212 | -74 | 138 |\n| Nov-21 | 151 | -65 | 87 |\n| Dec-21 | 200 | -55 | 140 |\n| Jan-22 | 182 | -37 | 135 |\n| Feb-22 | 146 | -19 | 110 |\n| Mar-22 | 166 | 0 | 140 |\n| Apr-22 | 140 | 0 | 124 |\n| May-22 | 116 | 0 | 106 |\n| Jun-22 | 128 | 0 | 128 |\n| Jul-22 | 111 | 0 | 111 |\n| Aug-22 | 91 | 0 | 91 |\n| Sep-22 | 109 | 0 | 109 |\n| Oct-22 | 111 | 0 | 111 |\n| Nov-22 | 85 | 0 | 85 |\n| Dec-22 | 114 | 0 | 114 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/381ac64e9bdb9483e0b2644c33cb808e.png", "anno": "| | 新增零售贷款-(RMB bn) | 占总贷款比率 |\n| --- | --- | --- |\n| Jan-19 | 984 | 31% |\n| Feb-19 | -56 | -8% |\n| Mar-19 | 899 | 53% |\n| Apr-19 | 520 | 52% |\n| May-19 | 661 | 56% |\n| Jun-19 | 750 | 45% |\n| Jul-19 | 504 | 48% |\n| Aug-19 | 645 | 54% |\n| Sep-19 | 738 | 44% |\n| Oct-19 | 415 | 64% |\n| Nov-19 | 681 | 49% |\n| Dec-19 | 641 | 56% |\n| Jan-20 | 625 | 19% |\n| Feb-20 | -391 | -46% |\n| Mar-20 | 980 | 35% |\n| Apr-20 | 653 | 40% |\n| May-20 | 698 | 47% |\n| Jun-20 | 972 | 55% |\n| Jul-20 | 746 | 76% |\n| Aug-20 | 839 | 66% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/e5c5e9c5a20e2a43a15504e9d80f7c99.png", "anno": "| | 单周净流入-（亿美元） | 累计单周净流入（右轴）-（亿美元） |\n| --- | --- | --- |\n| Sep-24 第一周 | 350 | 350 |\n| Sep-24 第二周 | 430 | 800 |\n| Sep-24 第三周 | 210 | 1000 |\n| Sep-24 第四周 | 240 | 1200 |\n| Oct-24 第一周 | 290 | 1550 |\n| Oct-24 第二周 | 160 | 1700 |\n| Oct-24 第三周 | 130 | 1800 |\n| Oct-24 第四周 | 390 | 2200 |\n| Nov-24 第一周 | 470 | 2690 |\n| Nov-24 第二周 | 180 | 2850 |\n| Nov-24 第三周 | 220 | 3100 |\n| Nov-24 第四周 | 120 | 3200 |\n| Dec-24 第一周 | 310 | 3500 |\n| Dec-24 第二周 | 870 | 4400 |\n| Dec-24 第三周 | -210 | 4200 |\n| Dec-24 第四周 | 320 | 4500 |\n| Jan-25 第一周 | 200 | 4700 |\n| Jan-25 第二周 | 220 | 4950 |\n| Jan-25 第三周 | 100 | 5000 |\n| Jan-25 第四周 | 160 | 5200 |\n| Feb-25 第一周 | 90 | 5300 |\n| Feb-25 第二周 | 100 | 5400 |\n| Feb-25 第三周 | 230 | 5600 |\n| Feb-25 第四周 | 310 | 5900 |\n| Mar-25 第一周 | 220 | 6150 |\n| Mar-25 第二周 | 180 | 6350 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d3552243ec26c82d662f19a75eec460d.png", "anno": "| | 锑锭 | 累计同比 |\n| --- | --- | --- |\n| Jan-19 | 8930 | |\n| Jun-19 | 46500 | |\n| Nov-19 | 77700 | |\n| Apr-20 | 14300 | -40% |\n| Sep-20 | 54600 | -20% |\n| Feb-21 | 10700 | 28% |\n| Jul-21 | 42850 | 9% |\n| Dec-21 | 67000 | -13% |\n| May-22 | 29100 | -1% |\n| Oct-22 | 57100 | 9% |\n| Mar-23 | 17000 | -10% |\n| Aug-23 | 52300 | 9% |\n| Jan-24 | 7143 | 49% |\n| Jun-24 | 35700 | -4% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4955646991c2c123fee67021f29bbba5.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### Degree of COVID-19 containment v UK composite PMI output index\n\n| | IHS Markit COVID-19 containment index-More \"locked down\" | IHS Markit/CIPS composite flash PMI (Output Index)-UK PMI |\n| --- | --- | --- |\n| Jan-19 | | 50 |\n| Jan-20 | | 53 |\n| Jan-21 | 86 | 41 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/216dd2744b4dd43f45bf4eea3fee65ee.png", "anno": "### 量子技术领域私人投资总额（百万美元，轮次）\n#### 来源：《量子内幕》，截至2023年12月底更新\n| | 左轴-美元融资总额-(百万美元) | 右轴-融资轮次总和 |\n| --- | --- | --- |\n| 2012 | 98 | 21 |\n| 2013 | 10 | 8 |\n| 2014 | 150 | 23 |\n| 2015 | 200 | 26 |\n| 2016 | 210 | 33 |\n| 2017 | 490 | 55 |\n| 2018 | 370 | 69 |\n| 2019 | 850 | 80 |\n| 2020 | 810 | 105 |\n| 2021 | 2400 | 100 |\n| 2022 | 2390 | 118 |\n| 2023 | 1250 | 75 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/ec2ed0e9677a1357c79db80c25698075.png", "anno": "| | SPM(毫克/升)-浓度(毫克/升) | DBDPE(ng/g)-浓度(纳克/克) | 二噁英209-浓度(pg/L) | DPs-浓度(pg/L) | DBDPE-浓度(pg/L) |\n| --- | --- | --- | --- | --- | --- |\n| 8月SW1 | 10 | 1.5 | 44.5 | 0 | 18.5 |\n| 8月SW2 | 12.5 | 1.2 | 46 | 0 | 18.5 |\n| 8月SW3 | 14 | 0 | 24 | 0 | 0 |\n| 8月SW4 | 14.5 | 0 | 18.5 | 0 | 0 |\n| 8月SW5 | 14 | 0.1 | 19.1 | 0 | 3 |\n| 8月SW6 | 23 | 1 | 68.5 | 0 | 26.5 |\n| 8月SW7 | 15 | 2 | 95 | 0 | 33.5 |\n| 8月SW8 | 12 | 1.7 | 71.5 | 0 | 20.5 |\n| 8月SW9 | 13 | 0.3 | 25 | 0 | 6 |\n| 十二月WW1 | 21 | 1.2 | 48 | 0 | 27 |\n| 十二月WW2 | 26.5 | 2.7 | 173 | 0 | 106 |\n| 十二月WW3 | 32 | 2 | 125 | 0 | 71.5 |\n| 十二月4周 | 29 | 1.9 | 142 | 0 | 66 |\n| 十二月第5周 | 32 | 14.8 | 730 | 0 | 500 |\n| 十二月第6周 | 27 | 10.2 | 400 | 0 | 295 |\n| 十二月WW7 | 48.5 | 11.2 | 785 | 0 | 585 |\n| 十二月WW8 | 29 | 13 | 500 | 0 | 400 |\n| 十二月周9 | 37 | 8.4 | 490 | 0 | 340 |\n| 二月FW1 | 17 | 5.3 | 171 | 0 | 99 |\n| 二月FW2 | 14.7 | 4.2 | 118 | 0 | 87.5 |\n| 二月FW3 | 19.7 | 2.3 | 108 | 0 | 87.5 |\n| 二月FW4 | 33 | 6.4 | 365 | 0 | 210 |\n| 六月CW1 | 11 | 0.8 | 25 | 0 | 10 |\n| 六月CW2 | 11.5 | 0.5 | 18 | 0 | 8 |\n| 六月CW3 | 11.7 | 1 | 18.5 | 0 | 11 |\n| 六月CW4 | 9.5 | 0.8 | 15 | 0 | 10.5 |\n| 六月CW5 | 9 | 1.7 | 23 | 0 | 18 |\n| 六月CW6 | 10 | 0.9 | 19 | 0 | 9.5 |\n| 六月CW7 | 7.5 | 1.4 | 11.5 | 0 | 11 |\n", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/72ef7ee3625f85d4a08a18ffe6c83f19.png", "anno": "| Axis Title | No. of Plants | Ethanol Production-Million Gallon | NamePlant Capacity-Million Gallon |\n| --- | --- | --- | --- |\n| 1999 | 50 | 1690 | 1790 |\n| 2000 | 54.8 | 1730 | 1990 |\n| 2001 | 55.8 | 1770 | 2190 |\n| 2002 | 60.6 | 2300 | 2910 |\n| 2003 | 68.5 | 2960 | 3320 |\n| 2004 | 72 | 3580 | 3820 |\n| 2005 | 80 | 4000 | 4480 |\n| 2006 | 94.2 | 4950 | 6450 |\n| 2007 | 109.7 | 6610 | 11680 |\n| 2008 | 139.2 | 9550 | 13430 |\n| 2009 | 170.4 | 11000 | 14620 |\n| 2010 | 189 | 13350 | 14620 |\n| 2011 | 204.2 | 14000 | 14700 |\n| 2012 | 209.1 | 13300 | 15170 |\n| 2013 | 210.8 | 13350 | 15000 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/ab4bff4d5e2d6a4fe2f99670ae41369a.png", "anno": "### PET 新增产能与需求增长\n#### Source: IHS Markit\n\n| | NEA-千吨 | SEA-千吨 | ISC-千吨 | WEP-千吨 | CEP-千吨 | CIS-千吨 | MDE-千吨 | AFR-千吨 | NAM-千吨 | SAM-千吨 | Demand Growth-千吨 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2013 | 500 | 0 | 120 | -100 | 0 | 50 | 130 | 0 | 0 | 0 | 750 |\n| 2014 | 460 | 50 | 290 | 200 | 0 | 0 | 300 | 280 | -100 | 120 | 720 |\n| 2015 | 100 | 0 | 400 | 100 | 0 | 0 | 500 | -250 | -50 | 100 | 650 |\n| 2016 | -200 | 0 | 150 | 0 | 0 | 20 | 50 | 30 | 0 | 100 | 900 |\n| 2017 | 850 | 0 | 0 | -50 | 0 | 0 | -300 | 100 | 0 | 130 | 850 |\n| 2018 | 1000 | 0 | 0 | -150 | 0 | 70 | -150 | 220 | -180 | 0 | 1400 |\n| 2019 | 1300 | 200 | 0 | 50 | 0 | 100 | 0 | 300 | 150 | 0 | 900 |\n| 2020 | 1050 | 0 | 0 | 20 | 0 | 100 | 250 | 0 | 550 | 0 | 900 |\n| 2021 | 400 | 0 | 0 | 20 | 0 | 480 | 350 | 0 | 530 | 0 | 920 |\n| 2022 | 0 | 0 | 0 | 0 | 0 | 50 | 250 | 0 | 0 | 0 | 950 |\n| 2023 | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 0 | 0 | 0 | 1020 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/ae9e42ea75ae034067219c4f9ba5334a.png", "anno": "### 图表1：征收的总关税和税款\n#### 来源：美国商务部。BLS，摩根士丹利研究\n\n| | 已支付关税与税金（十亿美元） | 有效关税税率（%） |\n| --- | --- | --- |\n| 2024年1月 | 6.3 | 2.5 |\n| 2024年2月 | 6.0 | 2.5 |\n| 2024年3月 | 5.8 | 2.3 |\n| 2024年4月 | 5.9 | 2.2 |\n| 2024年5月 | 6.2 | 2.3 |\n| 2024年6月 | 6.2 | 2.35 |\n| 2024年7月 | 7.1 | 2.5 |\n| 2024年8月 | 6.9 | 2.5 |\n| 2024年9月 | 6.8 | 2.4 |\n| 2024年10月 | 6.7 | 2.3 |\n| 2024年11月 | 6.3 | 2.3 |\n| 2024年12月 | 6.5 | 2.3 |\n| 2025年1月 | 7.1 | 2.2 |\n| 2025年2月 | 6.8 | 2.3 |\n| 2025年3月 | 13.0 | 3.8 |\n| 2025年4月 | 19.3 | 7.2 |\n| 2025年5月 | 24.3 | 8.9 |\n| 2025年6月 | 23.7 | 9.1 |\n| 2025年7月 | 28.2 | 9.8 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/6bc4e8caec573d1fa44129195c1feece.png", "anno": "| | 原糖-千吨 | 加工糖-千吨 | 白砂糖-千吨 | 巴西海关糖出口量-千吨 |\n| --- | --- | --- | --- | --- |\n| Jan 21 | 1414 | 104 | 50 | 1750 |\n| Feb 21 | 1010 | 97 | 47 | 1446 |\n| Mar 21 | 1693 | 21 | 54 | 1690 |\n| Apr 21 | 1186 | 82 | 25 | 1429 |\n| May 21 | 2303 | 0 | 58 | 2268 |\n| Jun 21 | 2160 | 0 | 47 | 2518 |\n| Jul 21 | 2018 | 50 | 68 | 2214 |\n| Aug 21 | 1375 | 36 | 18 | 2250 |\n| Sep 21 | 2036 | 0 | 64 | 2321 |\n| Oct 21 | 1982 | 86 | 14 | 1984 |\n| Nov 21 | 1911 | 89 | 46 | 2357 |\n| Dec 21 | 1293 | 60 | 60 | 1661 |\n| Jan 22 | 1000 | 92 | 33 | 1092 |\n| Feb 22 | 1285 | 44 | 21 | 1500 |\n| Mar 22 | 1107 | 0 | 72 | 1250 |\n| Apr 22 | 868 | 43 | 43 | 1171 |\n| May 22 | 1757 | 57 | 18 | 1464 |\n| Jun 22 | 2010 | 0 | 58 | 2068 |\n| Jul 22 | 2196 | 54 | 68 | 2571 |\n| Aug 22 | 1614 | 48 | 59 | 2678 |\n| Fap 22 | | | | 2571 |\n| Aat 22 | | | | 2803 |\n| Apv 22 | | | | 2964 |\n| Aac 22 | | | | 1857 |\n| Aan 23 | 504 | 0 | 35 | 1786 |\n| Jab 23 | 810 | 47 | 47 | |\n| Jar 23 | 1107 | 43 | 82 | |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/eda22b52102e45f6bebfe3fea400044f.png", "anno": "| | 单周净流入-（亿美元） | 累计单周净流入（右轴）-（亿美元） |\n| --- | --- | --- |\n| Jan-24 第一周 | 65 | 100.0 |\n| Jan-24 第二周 | 255 | 330.0 |\n| Jan-24 第三周 | 273 | 600.0 |\n| Jan-24 第四周 | 122 | 700.0 |\n| Feb-24 第一周 | 183 | 1000 |\n| Feb-24 第二周 | 170 | 1100 |\n| Feb-24 第三周 | 168 | 1250 |\n| Feb-24 第四周 | 153 | 1400 |\n| Mar-24 第一周 | 373 | 1800 |\n| Mar-24 第二周 | 58 | 1820 |\n| Mar-24 第三周 | 265 | 2100 |\n| Mar-24 第四周 | 150 | 2250 |\n| Apr-24 第一周 | -70 | 2150 |\n| Apr-24 第二周 | 25 | 2190 |\n| Apr-24 第三周 | 162 | 2390 |\n| Apr-24 第四周 | 150 | 2520 |\n| May-24 第一周 | 170 | 2700 |\n| May-24 第二周 | 185 | 2890 |\n| May-24 第三周 | 150 | 3050 |\n| May-24 第四周 | 99 | 3120 |\n| Jun-24 第一周 | 105 | 3220 |\n| Jun-24 第二周 | 99 | 3320 |\n| Jun-24 第三周 | 140 | 3490 |\n| Jun-24 第四周 | 206 | 3700 |\n| Jul-24 第一周 | 235 | 3920 |\n| Jul-24 第二周 | 110 | 4020 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/8a0e1e47775466fb3d7fcb40949bce9e.png", "anno": "| | 小松累计利用小时数-（小时） | 同比增长（右轴） |\n| --- | --- | --- |\n| Jan-16 | 118 | -16% |\n| Feb-16 | 160 | -10% |\n| Mar-16 | 300 | 4% |\n| Apr-16 | 438 | 3.2% |\n| May-16 | 580 | 3.6% |\n| Jun-16 | 700 | 4% |\n| Jul-16 | 838 | 4% |\n| Aug-16 | 976 | 4.8% |\n| Sep-16 | 1109 | 6% |\n| Oct-16 | 1241 | 4% |\n| Nov-16 | 1381 | 6% |\n| Dec-16 | 1520 | 6% |\n| Jan-17 | 81 | -26% |\n| Feb-17 | 178 | 8% |\n| Mar-17 | 320 | 6% |\n| Apr-17 | 470 | 8% |\n| May-17 | 622 | 8% |\n| Jun-17 | 736 | 7% |\n| Jul-17 | 900 | 6% |\n| Aug-17 | 1030 | 5% |\n| Sep-17 | 1170 | 4% |\n| Oct-17 | 1303 | 3% |\n| Nov-17 | 1458 | 3.2% |\n| Dec-17 | 1602 | 4% |\n| Jan-18 | 120 | 46% |\n| Feb-18 | 168 | -4% |\n| Mar-18 | 290 | -8% |\n| Apr-18 | 442 | -6% |\n| May-18 | 588 | -6% |\n| Jun-18 | 720 | -6% |\n| Jul-18 | 850 | -6% |\n| Aug-18 | 990 | -4% |\n| Sep-18 | 1120 | -5% |\n| Oct-18 | 1263 | -3% |\n| Nov-18 | 1400 | -4% |\n| Dec-18 | 1521 | -5% |\n| Jan-19 | 103 | -12% |\n| Feb-19 | 158 | -9% |\n| Mar-19 | 282 | -2% |\n| Apr-19 | 424 | -4% |\n| May-19 | 568 | -4% |\n| Jun-19 | 692 | -4% |\n| Jul-19 | 828 | -4% |\n| Aug-19 | 950 | -4% |\n| Sep-19 | 1076 | -4% |\n| Oct-19 | 1200 | -5% |\n| Nov-19 | 1340 | -4% |\n| Dec-19 | 1463 | -4% |\n| Jan-20 | 68 | -43% |\n| Feb-20 | 94 | -38% |\n| Mar-20 | 210 | -28% |\n| Apr-20 | 356 | -18% |\n| May-20 | 500 | -12% |\n| Jun-20 | 623 | -10% |\n| Jul-20 | 750 | -9% |\n| Aug-20 | 880 | -8% |\n| Sep-20 | 1000 | -7% |\n| Oct-20 | 1140 | -6% |\n| Nov-20 | 1280 | -5% |\n| Dec-20 | 1400 | -4% |\n| Jan-21 | 120 | 86% |\n| Feb-21 | 160 | 70% |\n| Mar-21 | 280 | 34% |\n| Apr-21 | 400 | 14% |\n| May-21 | 530 | 6% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d7e21e2275e8d7d032da360a34a25908.png", "anno": "### E-mini S&P 500 Options ADV during Non-US Hours\n| | Non-US ADV | Non-US % of Global Volume |\n| --- | --- | --- |\n| 2011 | 10000 | 5.5% |\n| 2012 | 16000 | 7.8% |\n| 2013 | 27000 | 8.3% |\n| 2014 | 34000 | 7.4% |\n| 2015 | 47000 | 9.5% |\n| 2016 | 62000 | 11% |\n| 2017 | 46000 | 7.5% |\n| 2018 | 91000 | 12% |\n| 2019 | 100000 | 17% |\n| 2020 | 150000 | 22.5% |\n| 2021 | 122000 | 17.5% |\n| 2022 | 173000 | 16.3% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4ba8039f123b9029b38f78ee9b24579d.png", "anno": "### The total size of domestic bond index funds\n| | the size of domestic bond index funds (100 million RMB), left axis | the size of domestic bond index funds which used ChinaBond Indices as their performance benchmarks (100 million RMB), left axis | the number of domestic bond index funds, right axis | the number of bond index funds which used ChinaBond Indices as their performance benchmarks, right axis |\n| --- | --- | --- | --- | --- |\n| Jan/18 | 208 | 35 | 35 | 13 |\n| Aug/18 | 300 | 35 | 38 | 15 |\n| mar/19 | 1630 | 1430 | 59 | 35 |\n| Oct/19 | 2430 | 2170 | 91 | 61 |\n| May/20 | 4170 | 3600 | 118 | 96 |\n| Dec/20 | 4350 | 3700 | 160 | 123 |\n| Jul/21 | 3300 | 2770 | 158 | 127 |\n| Feb/22 | 4260 | 3480 | 171 | 136 |\n| Sep/22 | 4000 | 3300 | 169 | 137 |\n| Apr/23 | 3800 | 3170 | 171 | 140 |\n| Nov/23 | 5220 | 4170 | 176 | 144 |\n| Jun/24 | 9270 | 7570 | 212 | 174 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/22829293f1dd782e06a92216b283cf0a.png", "anno": "| | 网络音频用户规模（左轴）-（万人） | 同比增速（右轴） |\n| --- | --- | --- |\n| Jan-15 | 5147 | |\n| Apr-15 | 5323 | |\n| Jul-15 | 6529 | |\n| Oct-15 | 7294 | |\n| Jan-16 | 7294 | 49% |\n| Apr-16 | 7411 | 40% |\n| Jul-16 | 8000 | 23% |\n| Oct-16 | 8117 | 12% |\n| Jan-17 | 7705 | 1% |\n| Apr-17 | 8529 | 14% |\n| Jul-17 | 8676 | 8% |\n| Oct-17 | 10088 | 23% |\n| Jan-18 | 10647 | 38% |\n| Apr-18 | 11911 | 39% |\n| Jul-18 | 12500 | 44% |\n| Oct-18 | 12147 | 21% |\n| Jan-19 | 13176 | 23% |\n| Apr-19 | 13676 | 15% |\n| Jul-19 | 14264 | 14% |\n| Oct-19 | 14352 | 18% |\n| Jan-20 | 13970 | 7% |\n| Apr-20 | 12941 | -5% |\n| Jul-20 | 12205 | -14% |\n| Oct-20 | 12352 | -13% |\n| Jan-21 | 13441 | -4% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a4e314ef44db4801959c9470d7e9d7ec.png", "anno": "### 用于C&P生产的虾类原料虾（Reker til pilling）\n\n| | 虾公斤数 | Snitpris |\n| --- | --- | --- |\n| 2008 | 30038 | 12.00 |\n| 2009 | 21084 | 12.80 |\n| 2010 | 18691 | 13.30 |\n| 2011 | 23723 | 16.50 |\n| 2012 | 16951 | 16.80 |\n| 2013 | 10412 | 17.68 |\n| 2014 | 13780 | 20.48 |\n| 2015 | 24804 | 33.11 |\n| 2016 | 17131 | 25.10 |\n| 2017 | 12748 | 21.59 |\n| 2018 | 24296 | 28.89 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/84d42ecce350b8d6d5669e5b643084df.png", "anno": "| Years | CNKI-Number of publications | WOS-Number of publications | Total number of publications-Number of publications |\n| --- | --- | --- | --- |\n| 2010 | 12 | 0 | 12 |\n| 2011 | 10 | 0 | 10 |\n| 2012 | 7 | 1 | 8 |\n| 2013 | 6 | 0 | 6 |\n| 2014 | 1 | 0 | 1 |\n| 2015 | 12 | 0 | 12 |\n| 2016 | 8 | 1 | 9 |\n| 2017 | 8 | 3 | 11 |\n| 2018 | 12 | 7 | 19 |\n| 2019 | 19 | 16 | 35 |\n| 2020 | 13 | 18 | 31 |\n| 2021 | 14 | 18 | 32 |\n| 2022 | 17 | 23 | 40 |\n| 2023 | 17 | 26 | 43 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/06a95faedf7c39a2819c48e52b895067.png", "anno": "### 俄罗斯-欧洲PNG运量:按管道划分:当月值\n\n| | 途经乌克兰-MCM/D | 北溪1号-MCM/D | 亚马尔-欧洲管道-MCM/D | 途经波兰和匈牙利等-MCM/D | 俄罗斯PNG总量-MCM/D |\n| --- | --- | --- | --- | --- | --- |\n| Feb 19 | 145 | 180 | 75 | 75 | 475 |\n| Mar 19 | 165 | 180 | 75 | 70 | 490 |\n| Apr 19 | 189 | 176 | 70 | 85 | 520 |\n| May 19 | 185 | 175 | 90 | 90 | 540 |\n| Jun 19 | 165 | 180 | 75 | 90 | 510 |\n| Jul 19 | 175 | 105 | 70 | 95 | 445 |\n| Aug 19 | 120 | 180 | 50 | 90 | 440 |\n| Sep 19 | 150 | 170 | 80 | 90 | 490 |\n| Oct 19 | 160 | 170 | 85 | 70 | 485 |\n| Nov 19 | 190 | 180 | 80 | 80 | 530 |\n| Dec 19 | 172 | 178 | 85 | 80 | 515 |\n| Jan 20 | 45 | 180 | 75 | 40 | 340 |\n| Feb 20 | 85 | 185 | 70 | 50 | 390 |\n| Mar 20 | 110 | 180 | 50 | 60 | 400 |\n| Apr 20 | 105 | 180 | 65 | 60 | 410 |\n| May 20 | 105 | 185 | 45 | 35 | 370 |\n| Jun 20 | 115 | 177 | 78 | 35 | 405 |\n| Jul 20 | 105 | 113 | 52 | 40 | 310 |\n| Aug 20 | 70 | 175 | 85 | 30 | 360 |\n| Sep 20 | 60 | 175 | 85 | 30 | 350 |\n| Oct 20 | 130 | 175 | 85 | 35 | 425 |\n| Nov 20 | 130 | 172 | 88 | 35 | 425 |\n| Dec 20 | 130 | 175 | 85 | 30 | 420 |\n| Jan 21 | 75 | 175 | 85 | 35 | 370 |\n| Feb 21 | 60 | 178 | 67 | 35 | 340 |\n| Mar 21 | 78 | 172 | 90 | 25 | 365 |\n| Apr 21 | 80 | 180 | 80 | 25 | 365 |\n| May 21 | 85 | 175 | 90 | 20 | 370 |\n| Jun 21 | 82 | 176 | 82 | 25 | 365 |\n| Jul 21 | 85 | 115 | 75 | 25 | 300 |\n| Aug 21 | 85 | 175 | 45 | 25 | 330 |\n| Sep 21 | 70 | 180 | 70 | 20 | 340 |\n| Oct 21 | 80 | 175 | 15 | 25 | 295 |\n| Nov 21 | 90 | 178 | 17 | 25 | 310 |\n| Dec 21 | 90 | 178 | 12 | 28 | 308 |\n| Jan 22 | 35 | 165 | -20 | 30 | 210 |\n| Feb 22 | 50 | 170 | -2 | 32 | 250 |\n| Mar 22 | 85 | 170 | 5 | 30 | 290 |\n| Apr 22 | 65 | 175 | -15 | 35 | 260 |\n| May 22 | 95 | 175 | -18 | 28 | 280 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/64d8ec07e68be55d7e47c1e33acd9913.png", "anno": "| | 2018-(万辆) | 2019-(万辆) | YoY |\n| --- | --- | --- | --- |\n| Jan | 35.8 | 36 | 1.2% |\n| Feb | 42.0 | 42.2 | 0.5% |\n| Mar | 59.0 | 56 | -4.7% |\n| Apr | 32.0 | 33.2 | 3.6% |\n| May | 32.7 | 35 | 6.6% |\n| Jun | 40.0 | 39 | -1.4% |\n| Jul | 39.0 | 40 | 3.0% |\n| Aug | 32.0 | 33.5 | 5.5% |\n| Sep | 42.5 | 48 | 13.2% |\n| Oct | 37.0 | 27.5 | -25.3% |\n| Nov | 38.8 | | |\n| Dec | 34.0 | | |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/ed172f618a560eb01acb343a3f610c64.png", "anno": "| | 单周净流入-亿美元 | 累计单周净流入（右轴）-亿美元 |\n| --- | --- | --- |\n| Aug-23 第1周 | 2 | 8 |\n| Aug-23 第2周 | 81 | 100 |\n| Aug-23 第3周 | 67 | 180 |\n| Aug-23 第4周 | 231 | 390 |\n| Sep-23 第1周 | -11 | 370 |\n| Sep-23 第2周 | 221 | 600 |\n| Sep-23 第3周 | 104 | 700 |\n| Sep-23 第4周 | 50 | 740 |\n| Oct-23 第1周 | 66 | 800 |\n| Oct-23 第2周 | 92 | 900 |\n| Oct-23 第3周 | 70 | 960 |\n| Oct-23 第4周 | 111 | 1070 |\n| Nov-23 第1周 | 280 | 1360 |\n| Nov-23 第2周 | 190 | 1550 |\n| Nov-23 第3周 | 50 | 1600 |\n| Nov-23 第4周 | 198 | 1800 |\n| Dec-23 第1周 | 230 | 2000 |\n| Dec-23 第2周 | 248 | 2280 |\n| Dec-23 第3周 | 215 | 2480 |\n| Dec-23 第4周 | 148 | 2620 |\n| Jan-24 第1周 | | 2610 |\n| Jan-24 第2周 | 70 | 2700 |\n| Jan-24 第3周 | 260 | 2940 |\n| Jan-24 第4周 | 264 | 3200 |\n| Feb-24 第1周 | 145 | 3370 |\n| Feb-24 第2周 | 220 | 3580 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2c08252b7ab0489cbee7a0bc638cb45b.png", "anno": "| | 单周净流入-（亿美元） | 累计单周净流入（右轴）-（亿美元） |\n| --- | --- | --- |\n| Jul-24 第1周 | 380 | 300 |\n| Jul-24 第2周 | 300 | 650 |\n| Jul-24 第3周 | 40 | 700 |\n| Jul-24 第4周 | 210 | 900 |\n| Aug-24 第1周 | 110 | 1000 |\n| Aug-24 第2周 | 194 | 1100 |\n| Aug-24 第3周 | 170 | 1400 |\n| Aug-24 第4周 | 80 | 1500 |\n| Sep-24 第1周 | 20 | 1500 |\n| Sep-24 第2周 | 350 | 1900 |\n| Sep-24 第3周 | 420 | 2300 |\n| Sep-24 第4周 | 210 | 2500 |\n| Oct-24 第1周 | 250 | 2700 |\n| Oct-24 第2周 | 300 | 3000 |\n| Oct-24 第3周 | 156 | 3100 |\n| Oct-24 第4周 | 128 | 3200 |\n| Nov-24 第1周 | 400 | 3700 |\n| Nov-24 第2周 | 440 | 4100 |\n| Nov-24 第3周 | 180 | 4200 |\n| Nov-24 第4周 | 220 | 4500 |\n| Dec-24 第1周 | 118 | 4700 |\n| Dec-24 第2周 | 320 | 5000 |\n| Dec-24 第3周 | 880 | 5800 |\n| Dec-24 第4周 | -205 | 5700 |\n| Jan-25 第1周 | 330 | 6000 |\n| Jan-25 第2周 | 200| 6200 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/3c512cdc187be01df18c45b61d14b2bb.png", "anno": "### Tasmania by stream – comparison with previous years\n| | Family-Outcome | Skill-Outcome | Child-Outcome | Special Eligibility-Outcome | % of Migration Program-% of Program |\n| --- | --- | --- | --- | --- | --- |\n| 2010-11 | 400 | 850 | 0 | 0 | 0.70% |\n| 2011-12 | 415 | 835 | 0 | 50 | 0.66% |\n| 2012-13 | 500 | 690 | 0 | 0 | 0.62% |\n| 2013-14 | 360 | 780 | 0 | 0 | 0.58% |\n| 2014-15 | 415 | 660 | 0 | 0 | 0.56% |\n| 2015-16 | 390 | 775 | 0 | 0 | 0.62% |\n| 2016-17 | 415 | 1550 | 35 | 0 | 1.07% |\n| 2017-18 | 280 | 2450 | 15 | 0 | 1.70% |\n| 2018-19 | 360 | 2855 | 35 | 0 | 2.00% |\n| 2019-20 | 320 | 6110 | 15 | 0 | 4.37% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/027ee63ea0d2c6122cf5e77d79932c9d.png", "anno": "### EOP SPC OOC/OOS REPORT\n| | M1 | M2 | M3 | M4 | M5 | OOS | OOC |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2017-11-09 | 4 | 14 | 16 | 4 | 12 | 10 | 40 |\n| 2017-11-10 | 5 | 29 | 6 | 0 | 0 | 13 | 27 |\n| 2017-11-11 | 10 | 16 | 2 | 0 | 1 | 9 | 20 |\n| 2017-11-12 | 6 | 10 | 14 | 1 | 2 | 13 | 20 |\n| 2017-11-13 | 6 | 2 | 14 | 0 | 4 | 9 | 15 |\n| 2017-11-14 | 4 | 44 | 6 | 0 | 5 | 11 | 48 |\n| 2017-11-15 | 0 | 7 | 10 | 0 | 1 | 7 | 11 |\n| 2017-11-16 | 3 | 8 | 6 | 0 | 3 | 8 | 11 |\n| 2017-11-17 | 2 | 25 | 9 | 0 | 0 | 17 | 19 |\n| 2017-11-18 | 16 | 29 | 9 | 0 | 2 | 13 | 32 |\n| 2017-11-19 | 0 | 38 | 10 | 0 | 24 | 6 | 52 |\n| 2017-11-20 | 4 | 29 | 9 | 0 | 1 | 19 | 16 |\n| 2017-11-21 | 13 | 18 | 6 | 0 | 5 | 19 | 15 |\n| 2017-11-22 | 0 | 26 | 9 | 0 | 4 | 13 | 18 |\n| 2017-11-23 | 0 | 25 | 15 | 0 | 2 | 10 | 24 |\n| 2017-11-24 | 13 | 54 | 18 | 2 | 4 | 43 | 32 |\n| 2017-11-25 | 16 | 42 | 30 | 0 | 2 | 30 | 44 |\n| 2017-11-26 | 17 | 25 | 25 | 0 | 2 | 23 | 34 |\n| 2017-11-27 | 1 | 54 | 28 | 0 | 9 | 24 | 50 |\n| 2017-11-28 | 15 | 25 | 5 | 0 | 9 | 16 | 28 |\n| 2017-11-29 | 1 | 48 | 14 | 0 | 11 | 23 | 48 |\n| 2017-11-30 | 5 | 48 | 32 | 0 | 55 | 53 | 85 |\n| 2017-12-01 | 0 | 12 | 11 | 2 | 27 | 10 | 42 |\n| 2017-12-02 | 1 | 4 | 14 | 0 | 6 | 5 | 19 |\n| 2017-12-03 | 0 | 2 | 4 | 0 | 6 | 1 | 12 |\n| 2017-12-04 | 0 | 47 | 2 | 0 | 3 | 26 | 28 |\n| 2017-12-05 | 0 | 4 | 16 | 0 | 10 | 9 | 20 |\n| 2017-12-06 | 0 | 88 | 28 | 0 | 2 | 26 | 92 |\n| 2017-12-07 | 4 | 9 | 8 | 0 | 5 | 8 | 20 |\n| 2017-12-08 | 0 | 7 | 2 | 4 | 5 | 5 | 12 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9da88af4ca880ac79cf9de448ac2fc7e.png", "anno": "| | 月度出口金额（亿美元） | 同比 |\n| --- | --- | --- |\n| Feb-21 | 3.4 | 235% |\n| Mar-21 | 3.1 | 31% |\n| Apr-21 | 3.8 | 49% |\n| May-21 | 3.4 | 49% |\n| Jun-21 | 4.4 | 63% |\n| Jul-21 | 4.1 | 28% |\n| Aug-21 | 5.0 | 62% |\n| Sep-21 | 5.0 | 48% |\n| Oct-21 | 4.8 | 38% |\n| Nov-21 | 5.2 | 15% |\n| Dec-21 | 6.0 | 49% |\n| Jan-22 | 4.8 | 39% |\n| Feb-22 | 3.5 | 4% |\n| Mar-22 | 4.7 | 53% |\n| Apr-22 | 5.4 | 44% |\n| May-22 | 5.9 | 75% |\n| Jun-22 | 7.2 | 62% |\n| Jul-22 | 8.8 | 117% |\n| Aug-22 | 9.6 | 96% |\n| Sep-22 | 9.6 | 96% |\n| Oct-22 | 9.6 | 100% |\n| Nov-22 | 10.5 | 102% |\n| Dec-22 | 10.0 | 65% |\n| Jan-23 | 10.8 | 118% |\n| Feb-23 | 8.7 | 150% |\n| Mar-23 | 11.7 | 148% |\n| Apr-23 | 10.0 | 84% |\n| May-23 | 10.9 | 81% |\n| Jun-23 | 9.6 | 34% |\n| Jul-23 | 7.7 | -14% |\n| Aug-23 | 7.0 | -28% |\n| Sep-23 | 6.5 | -34% |\n| Oct-23 | 5.6 | -43% |\n| Nov-23 | 5.6 | -47% |\n| Dec-23 | 6.0 | -41% |\n| Jan-24 | 5.7 | -48% |\n| Feb-24 | 4.5 | -49% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2c3ee99d7dd953942cc60ed408c1ca7e.png", "anno": "| | 全行业理财产品存续余额-(万亿元) | 非保本理财产品存续余额-(万亿元) | 同比增速 |\n| --- | --- | --- | --- |\n| Dec-09 | 2.0 | | |\n| Dec-10 | 3.0 | | 65% |\n| Dec-11 | 4.5 | | 64% |\n| Jun-12 | 6.0 | | 60% |\n| Dec-12 | 7.0 | | 55% |\n| Jun-13 | 9.0 | | 52% |\n| Dec-13 | 10.0 | | 44% |\n| Jun-14 | 12.5 | | 40% |\n| Dec-14 | 15.0 | | 47% |\n| Jun-15 | 18.5 | | 46% |\n| Dec-15 | 23.2 | | 56% |\n| Jun-16 | 26.0 | | 42% |\n| Dec-16 | 29.1 | | 24% |\n| Jun-17 | 28.4 | | 8% |\n| Dec-17 | 29.5 | | 2% |\n| Jun-18 | | 20.9 | 6% |\n| Dec-18 | 32.1 | 22.0 | 9% |\n| Jun-19 | 27.5 | 22.2 | 6% |\n| Dec-19 | 26.8 | 23.4 | 6% |\n| Mar-20 | | 24.4 | 9% |\n| Jun-20 | | 24.59 | 11% |\n| Sep-20 | | 25.08 | |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/3be4e3128e4f91ca409c772383b792a4.png", "anno": "### ARTIFICIAL INTELLIGENCE: QUARTERLY FUNDING Q1'12-Q1'17 (as of 3/23/2017)\n\n| | Disclosed Funding ($M) | Deals |\n| --- | --- | --- |\n| 2012 Q1 | $79 | 23 |\n| 2012 Q2 | $193 | 40 |\n| 2012 Q3 | $152 | 41 |\n| 2012 Q4 | $136 | 46 |\n| 2013 Q1 | $220 | 56 |\n| 2013 Q2 | $355 | 60 |\n| 2013 Q3 | $673 | 77 |\n| 2013 Q4 | $176 | 59 |\n| 2014 Q1 | $385 | 87 |\n| 2014 Q2 | $735 | 99 |\n| 2014 Q3 | $500 | 100 |\n| 2014 Q4 | $982 | 95 |\n| 2015 Q1 | $898 | 124 |\n| 2015 Q2 | $737 | 121 |\n| 2015 Q3 | $1,490 | 148 |\n| 2015 Q4 | $611 | 131 |\n| 2016 Q1 | $939 | 179 |\n| 2016 Q2 | $1,424 | 169 |\n| 2016 Q3 | $1,101 | 162 |\n| 2016 Q4 | $1,407 | 188 |\n| 2017 Q1 | $1,730 | 245 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/f134df370abfed8618d2c141e8264288.png", "anno": "| | Total CPI excluding temporary GST/HST holiday (year-over-year percentage change)-Percent or percentage points | Total CPI (year-over-year percentage change)-Percent or percentage points | Goods excluding energy and food in stores-Percent or percentage points | Energy-Percent or percentage points | Food in stores-Percent or percentage points | Services excluding shelter-Percent or percentage points | Shelter services-Percent or percentage points |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Jan 2023 | | 5.9 | 1.4 | 0.4 | 1.2 | 1 | 1.85 |\n| Feb 2023 | | 5.2 | 1.35 | -0.05 | 1.1 | 1 | 1.85 |\n| Mar 2023 | | 4.3 | 1.17 | -0.5 | 1.1 | 1.2 | 1.5 |\n| Apr 2023 | | 4.4 | 1.2 | -0.3 | 1 | 1 | 1.5 |\n| May 2023 | | 3.3 | 1 | -1 | 1 | 0.9 | 1.5 |\n| Jun 2023 | | 2.8 | 0.9 | -1.2 | 0.9 | 0.7 | 1.5 |\n| Jul 2023 | | 3.3 | 0.8 | -0.7 | 0.9 | 0.7 | 1.7 |\n| Aug 2023 | | 4 | 0.9 | 0.15 | 0.8 | 0.6 | 1.75 |\n| Sep 2023 | | 3.8 | 0.7 | 0.4 | 0.7 | 0.4 | 1.8 |\n| Oct 2023 | | 3.1 | 0.5 | -0.4 | 0.6 | 0.6 | 1.8 |\n| Nov 2023 | | 3.1 | 0.6 | -0.4 | 0.5 | 0.7 | 1.8 |\n| Dec 2023 | | 3.3 | 0.7 | -0.05 | 0.5 | 0.4 | 1.8 |\n| Jan 2024 | | 2.85 | 0.5 | -0.22 | 0.4 | 0.4 | 1.75 |\n| Feb 2024 | | 2.8 | 0.2 | 0.06 | 0.2 | 0.36 | 1.7 |\n| Mar 2024 | | 2.9 | 0.08 | 0.2 | 0.18 | 0.5 | 1.7 |\n| Apr 2024 | | 2.7 | | 0.3 | 0.1 | 0.47 | 1.7 |\n| May 2024 | | 2.8 | | 0.28 | 0.1 | 0.64 | 1.7 |\n| Jun 2024 | | 2.7 | -0.1 | | 0.2 | 0.7 | 1.7 |\n| Jul 2024 | | 2.5 | -0.1 | | 0.2 | 0.64 | 1.6 |\n| Aug 2024 | | 2 | -0.22 | -0.3 | 0.25 | 0.6 | 1.6 |\n| Sep 2024 | | 1.8 | -0.19 | -0.67 | 0.2 | 0.6 | 1.49 |\n| Oct 2024 | | 2.1 | | -0.2 | 0.28 | 0.49 | 1.4 |\n| Nov 2024 | | 2 | -0.19 | -0.08 | 0.25 | 0.49 | 1.46 |\n| Dec 2024 | 2.4 | 1.9 | -0.4 | 0.08 | 0.2 | 0.5 | 1.2 |\n| Jan 2025 | 2.55 | 1.8 | -0.38 | 0.4 | 0.18 | 0.2 | 1.19 |\n| Feb 2025 | 2.5 | 2.1 | -0.08 | | 0.28 | 0.5 | 1.2 |\n| Mar 2025 | 2.45 | 2.45 | 0.05 | -0.04 | 0.3 | 0.7 | 1.1 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4563152523d6df629501e8c1b208fff4.png", "anno": "| Year | Domestic companies-The number of anti-tumor targeted drugs trials | Foreign companies-The number of anti-tumor targeted drugs trials | Domestic companies-The proportion of anti-tumor targeted drugs trials | Foreign companies-The proportion of anti-tumor targeted drugs trials |\n| --- | --- | --- | --- | --- |\n| 2012 | 15 | 20 | 40% | 64% |\n| 2013 | 20 | 35 | 45% | 70% |\n| 2014 | 40 | 32 | 59% | 88% |\n| 2015 | 50 | 28 | 66% | 82% |\n| 2016 | 140 | 50 | 80% | 80% |\n| 2017 | 190 | 50 | 75% | 84% |\n| 2018 | 260 | 40 | 83% | 84% |\n| 2019 | 345 | 75 | 83% | 90% |\n| 2020 | 470 | 120 | 84% | 94% |\n| 2021 | 530 | 110 | 88% | 90% |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/03560dc8cfb5ea6ee544f6d02cf24859.png", "anno": "| | 月度环比-吨 | 我国官方储备资产:黄金-吨 |\n| --- | --- | --- |\n| Jun 22 | 0 | 1.95 |\n| Jul 22 | 0 | 1.95 |\n| Aug 22 | 0 | 1.95 |\n| Sep 22 | 0 | 1.95 |\n| Oct 22 | 0 | 1.95 |\n| Nov 22 | 32 | 1.98 |\n| Dec 22 | 30 | 2.01 |\n| Jan 23 | 15 | 2.03 |\n| Feb 23 | 25 | 2.05 |\n| Mar 23 | 18 | 2.07 |\n| Apr 23 | 8 | 2.08 |\n| May 23 | 16 | 2.09 |\n| Jun 23 | 21 | 2.11 |\n| Jul 23 | 23 | 2.14 |\n| Aug 23 | 29 | 2.17 |\n| Sep 23 | 26 | 2.19 |\n| Oct 23 | 23 | 2.21 |\n| Nov 23 | 12 | 2.23 |\n| Dec 23 | 9 | 2.24 |\n| Jan 24 | 10 | 2.24 |\n| Feb 24 | 12 | 2.26 |\n| Fer 24 | 5 | 2.26 |\n| 2er 24 | 2 | 2.26 |\n| Pay 24 | 0 | 2.26 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/96d8ae7c4d804e2f74d67c361ca1e42e.png", "anno": "### Employment rate and labour market slack in the EU, Q1 2009 to Q1 2024\n#### (Population aged 20-64, seasonally adjusted data)\n\n| | Unemployment-% of extended labour force | Underemployed part-time workers-% of extended labour force | Available but not seeking-% of extended labour force | Seeking but not available-% of extended labour force | Employment rate (left-axis)-% of population |\n| --- | --- | --- | --- | --- | --- |\n| 2009 Q1 | 8.0 | 3.0 | 3.2 | 0.5 | 67.8 |\n| 2009 Q2 | 8.5 | 3.2 | 3.1 | 0.6 | 67.4 |\n| 2009 Q3 | 8.9 | 3.1 | 3.1 | 0.7 | 67.0 |\n| 2009 Q4 | 9.0 | 3.1 | 3.5 | 0.4 | 66.9 |\n| 2010 Q1 | 9.4 | 3.1 | 3.5 | 0.6 | 67.0 |\n| 2010 Q2 | 9.4 | 3.1 | 3.4 | 0.6 | 67.0 |\n| 2010 Q3 | 9.3 | 3.1 | 3.4 | 0.5 | 67.0 |\n| 2010 Q4 | 9.3 | 3.1 | 3.4 | 0.5 | 67.0 |\n| 2011 Q1 | 9.2 | 3.0 | 3.5 | 0.5 | 67.2 |\n| 2011 Q2 | 9.2 | 3.1 | 3.5 | 0.5 | 67.2 |\n| 2011 Q3 | 9.4 | 3.1 | 3.5 | 0.6 | 67.1 |\n| 2011 Q4 | 9.6 | 3.3 | 3.6 | 0.5 | 67.0 |\n| 2012 Q1 | 10.0 | 3.2 | 3.7 | 0.5 | 67.0 |\n| 2012 Q2 | 10.3 | 3.3 | 3.6 | 0.5 | 66.9 |\n| 2012 Q3 | 10.4 | 3.3 | 3.5 | 0.6 | 66.9 |\n| 2012 Q4 | 10.7 | 3.3 | 3.8 | 0.5 | 66.7 |\n| 2013 Q1 | 11.0 | 3.6 | 3.9 | 0.5 | 66.6 |\n| 2013 Q2 | 10.9 | 3.7 | 3.9 | 0.4 | 66.7 |\n| 2013 Q3 | 10.8 | 3.7 | 3.9 | 0.4 | 66.8 |\n| 2013 Q4 | 10.7 | 3.8 | 3.9 | 0.4 | 66.9 |\n| 2014 Q1 | 10.6 | 3.7 | 4.2 | 0.6 | 67.3 |\n| 2014 Q2 | 10.4 | 3.6 | 4.1 | 0.7 | 67.6 |\n| 2014 Q3 | 10.1 | 3.7 | 4.2 | 0.7 | 67.7 |\n| 2014 Q4 | 10.1 | 3.7 | 4.1 | 0.7 | 67.8 |\n| 2015 Q1 | 9.8 | 3.7 | 4.1 | 0.7 | 68.2 |\n| 2015 Q2 | 9.7 | 3.7 | 4.1 | 0.6 | 68.5 |\n| 2015 Q3 | 9.3 | 3.7 | 4.0 | 0.7 | 68.8 |\n| 2015 Q4 | 9.2 | 3.6 | 3.9 | 0.7 | 69.0 |\n| 2016 Q1 | 8.9 | 3.6 | 3.8 | 0.7 | 69.4 |\n| 2016 Q2 | 8.8 | 3.6 | 3.7 | 0.7 | 69.6 |\n| 2016 Q3 | 8.5 | 3.5 | 3.7 | 0.8 | 69.9 |\n| 2016 Q4 | 8.3 | 3.5 | 3.7 | 0.6 | 70.0 |\n| 2017 Q1 | 8.1 | 3.5 | 3.5 | 0.8 | 70.5 |\n| 2017 Q2 | 7.8 | 3.4 | 3.6 | 0.7 | 70.9 |\n| 2017 Q3 | 7.7 | 3.1 | 3.5 | 0.7 | 71.1 |\n| 2017 Q4 | 7.4 | 3.3 | 3.4 | 0.6 | 71.4 |\n| 2018 Q1 | 7.2 | 3.1 | 3.5 | 0.6 | 71.6 |\n| 2018 Q2 | 7.0 | 3.0 | 3.2 | 0.8 | 71.9 |\n| 2018 Q3 | 6.9 | 2.9 | 3.2 | 0.7 | 72.2 |\n| 2018 Q4 | 6.8 | 2.9 | 3.3 | 0.5 | 72.3 |\n| 2019 Q1 | 6.7 | 2.9 | 3.1 | 0.6 | 72.6 |\n| 2019 Q2 | 6.4 | 2.9 | 3.0 | 0.7 | 72.7 |\n| 2019 Q3 | 6.3 | 2.9 | 3.0 | 0.8 | 72.7 |\n| 2019 Q4 | 6.3 | 2.9 | 2.9 | 0.7 | 72.9 |\n| 2020 Q1 | 6.2 | 2.8 | 3.2 | 0.8 | 72.7 |\n| 2020 Q2 | 6.3 | 3.0 | 4.8 | 0.9 | 70.8 |\n| 2020 Q3 | 7.4 | 3.0 | 3.6 | 0.7 | 71.5 |\n| 2020 Q4 | 7.0 | 2.9 | 3.6 | 0.7 | 72.0 |\n| 2021 Q1 | 7.0 | 3.0 | 4.0 | 0.7 | 72.0 |\n| 2021 Q2 | 6.8 | 2.8 | 3.4 | 0.8 | 72.8 |\n| 2021 Q3 | 6.5 | 2.8 | 2.9 | 0.7 | 73.5 |\n| 2021 Q4 | 6.2 | 2.5 | 3.0 | 0.6 | 74.1 |\n| 2022 Q1 | 5.9 | 2.4 | 2.9 | 0.8 | 74.4 |\n| 2022 Q2 | 5.9 | 2.3 | 2.8 | 0.9 | 74.6 |\n| 2022 Q3 | 5.9 | 2.3 | 2.8 | 0.9 | 74.6 |\n| 2022 Q4 | 5.8 | 2.3 | 2.7 | 0.7 | 74.9 |\n| 2023 Q1 | 5.8 | 2.3 | 2.6 | 0.7 | 75.2 |\n| 2023 Q2 | 5.7 | 2.3 | 2.6 | 0.7 | 75.4 |\n| 2023 Q3 | 5.8 | 2.2 | 2.6 | 0.7 | 75.4 |\n| 2023 Q4 | 5.8 | 2.3 | 2.5 | 0.7 | 75.6 |\n| 2024 Q1 | 5.7 | 2.3 | 2.5 | 0.7 | 75.8 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9f39c1fbe5febce3e118cff7e2ebed7c.png", "anno": "### 深圳市二手住宅每周量价走势\n| | 成交套数 | 成交均价 |\n| --- | --- | --- |\n| 2(Jan) | 500 | 52112 |\n| 9(Mar) | 775 | 52832 |\n| 16(Apr) | 1683 | 53321 |\n| 23(Jun) | 1575 | 51064 |\n| 30(Jul) | 1334 | 54301 |\n| 37(Sep) | 1275 | 52710 |\n| 44(Nov) | 1433 | 50503 |\n| 51(Dec) | 1660 | 53002 |\n| 6(Feb) | 1380 | 56189 |\n| 13(Mar) | 1277 | 52794 |\n| 20(May) | 1184 | 61007 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/29016a9b190683f5981eab195e182a41.png", "anno": "| | Retiring(%) | IPC |\n| --- | --- | --- |\n| Conv331 | 55% | 2.4 |\n| Conv332 | 68% | 2.8 |\n| Conv111 | 63% | 2.6 |\n| Conv551 | 57% | 2.4 |\n| Conv772 | 61% | 2.6 |\n| ReLU | 51% | 2.5 |\n| MaxPool222 | 55% | 2.3 |\n| MaxPool332 | 56% | 2.3 |\n| AvgPool777 | 61% | 2.6 |\n| BatchNorm | 27% | 1.1 |\n| FullyConnerct | 61% | 2.4 |\n| Softmax | 31% | 1.3 |\n| Deconv | 58% | 2.5 |\n| Concat | 5% | 0.3 |\n| Eitwise | 5% | 0.4 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/24b47898f780886a84c5e37ff159c566.png", "anno": "### AVERAGE RENT DECLINES\n#### Source: CBRE Research, CBRE Econometric Advisors, Axiodmetrics Inc., Q2 2020. Effective same-store rents based on the 66 metro markets tracked by CBRE EA.\n\n| | Rent Change Y-o-Y (L)-Rent Change Y-o-Y(%) | Monthly Rent Per Unit (R)-Monthly Rent ($) |\n| --- | --- | --- |\n| Q2 2008-1 | 1.6 | 1355 |\n| Q2 2008-2 | 1.3 | 1362 |\n| Q2 2008-3 | -0.8 | 1336 |\n| Q2 2008-4 | -3.9 | 1300 |\n| Q2 2009-1 | -6.0 | 1275 |\n| Q2 2009-2 | -6.9 | 1275 |\n| Q2 2009-3 | -6.0 | 1253 |\n| Q2 2009-4 | -3.2 | 1256 |\n| Q2 2010-1 | 0.6 | -300 |\n| Q2 2010-2 | 2.9 | 1275 |\n| Q2 2010-3 | 4.5 | 1311 |\n| Q2 2010-4 | 5.0 | 1319 |\n| Q2 2011-1 | 4.9 | 1350 |\n| Q2 2011-2 | 4.9 | 1370 |\n| Q2 2011-3 | 4.4 | 1374 |\n| Q2 2011-4 | 4.2 | 1380 |\n| Q2 2012-1 | 4.0 | 1400 |\n| Q2 2012-2 | 3.6 | 1420 |\n| Q2 2012-3 | 3.4 | 1420 |\n| Q2 2012-4 | 3.3 | 1423 |\n| Q2 2013-1 | 3.1 | 1450 |\n| Q2 2013-2 | 2.8 | 1460 |\n| Q2 2013-3 | 2.2 | 1452 |\n| Q2 2013-4 | 2.6 | 1460 |\n| Q2 2014-1 | 3.4 | 1490 |\n| Q2 2014-2 | 3.6 | 1520 |\n| Q2 2014-3 | 4.2 | 1520 |\n| Q2 2014-4 | 4.4 | 1530 |\n| Q2 2015-1 | 4.5 | 1560 |\n| Q2 2015-2 | 4.9 | 1580 |\n| Q2 2015-3 | 4.2 | 1570 |\n| Q2 2015-4 | 4.0 | 1575 |\n| Q2 2016-1 | 3.6 | 1620 |\n| Q2 2016-2 | 2.4 | 1630 |\n| Q2 2016-3 | 2.0 | 1610 |\n| Q2 2016-4 | 2.0 | 1620 |\n| Q2 2017-1 | 2.0 | 1650 |\n| Q2 2017-2 | 2.1 | 1670 |\n| Q2 2017-3 | 2.0 | 1640 |\n| Q2 2017-4 | 2.1 | 1650 |\n| Q2 2018-1 | 2.0 | 1680 |\n| Q2 2018-2 | 2.6 | 1700 |\n| Q2 2018-3 | 3.2 | 1695 |\n| Q2 2018-4 | 3.0 | 1700 |\n| Q2 2019-1 | 2.8 | 1730 |\n| Q2 2019-2 | 2.8 | 1750 |\n| Q2 2019-3 | 2.6 | 1740 |\n| Q2 2019-4 | 2.7 | 1745 |\n| Q2 2020-1 | -0.6 | 1720 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/0227c824bb3a4597c4744c201b8b0b22.png", "anno": "### Germany: Goods trade balance\n#### % GDP (Q1 2024 is est. based on Jan/Feb data)\n\n| | energy | other | Trade balance | 2015-19 avg. |\n| --- | --- | --- | --- | --- |\n| Q1 2003 | 7.1 | -1.9 | 5.1 | |\n| Q2 2003 | 7.1 | -1.8 | 5.3 | |\n| Q3 2003 | 8.3 | -1.5 | 6.8 | |\n| Q4 2003 | 7.9 | -1.8 | 6.1 | |\n| Q1 2004 | 8.9 | -1.6 | 7.3 | |\n| Q2 2004 | 9.1 | -1.6 | 7.5 | |\n| Q3 2004 | 8.2 | -1.8 | 6.4 | |\n| Q4 2004 | 8.6 | -2.0 | 6.6 | |\n| Q1 2005 | 9.8 | -2.2 | 7.6 | |\n| Q2 2005 | 9.4 | -2.5 | 6.9 | |\n| Q3 2005 | 9.7 | -2.6 | 7.1 | |\n| Q4 2005 | 8.9 | -2.7 | 6.2 | |\n| Q1 2006 | 9.9 | -3.1 | 6.8 | |\n| Q2 2006 | 8.6 | -3.0 | 5.6 | |\n| Q3 2006 | 9.2 | -2.9 | 6.3 | |\n| Q4 2006 | 10.2 | -2.5 | 7.7 | |\n| Q1 2007 | 10.2 | -2.3 | 7.9 | |\n| Q2 2007 | 9.9 | -2.4 | 7.5 | |\n| Q3 2007 | 10.2 | -2.2 | 8.0 | |\n| Q4 2007 | 10.7 | -2.9 | 7.8 | |\n| Q1 2008 | 11.3 | -3.3 | 8.0 | |\n| Q2 2008 | 11.7 | -3.5 | 8.2 | |\n| Q3 2008 | 10.2 | -3.9 | 6.3 | |\n| Q4 2008 | 9.0 | -3.5 | 5.5 | |\n| Q1 2009 | 7.3 | -2.8 | 4.5 | |\n| Q2 2009 | 7.9 | -2.3 | 5.6 | |\n| Q3 2009 | 8.3 | -2.5 | 5.8 | |\n| Q4 2009 | 9.1 | -2.5 | 6.6 | |\n| Q1 2010 | 8.8 | -2.8 | 6.0 | |\n| Q2 2010 | 8.9 | -3.1 | 5.8 | |\n| Q3 2010 | 8.7 | -2.9 | 5.8 | |\n| Q4 2010 | 9.4 | -3.1 | 6.3 | |\n| Q1 2011 | 9.8 | -3.5 | 6.3 | |\n| Q2 2011 | 9.4 | -3.7 | 5.7 | |\n| Q3 2011 | 9.4 | -3.7 | 5.7 | |\n| Q4 2011 | 9.7 | -3.8 | 5.9 | |\n| Q1 2012 | 11.0 | -4.0 | 7.0 | |\n| Q2 2012 | 10.9 | -3.8 | 7.1 | |\n| Q3 2012 | 10.7 | -3.5 | 7.2 | |\n| Q4 2012 | 10.6 | -3.9 | 6.7 | |\n| Q1 2013 | 10.8 | -3.6 | 7.2 | |\n| Q2 2013 | 10.6 | -3.7 | 6.9 | |\n| Q3 2013 | 10.5 | -3.7 | 6.8 | |\n| Q4 2013 | 10.5 | -3.4 | 7.1 | |\n| Q1 2014 | 9.9 | -3.3 | 6.6 | |\n| Q2 2014 | 10.0 | -3.2 | 6.8 | |\n| Q3 2014 | 10.7 | -3.0 | 7.7 | |\n| Q4 2014 | 10.6 | -2.7 | 7.9 | |\n| Q1 2015 | 10.2 | -2.3 | 7.9 | -1.9 |\n| Q2 2015 | 10.6 | -2.3 | 8.3 | -1.9 |\n| Q3 2015 | 10.1 | -2.1 | 8.0 | -1.9 |\n| Q4 2015 | 9.9 | -2.0 | 7.9 | -1.9 |\n| Q1 2016 | 9.1 | -1.6 | 7.5 | -1.9 |\n| Q2 2016 | 10.3 | -1.6 | 8.7 | -1.9 |\n| Q3 2016 | 9.4 | -1.7 | 7.7 | -1.9 |\n| Q4 2016 | 9.4 | -1.9 | 7.5 | -1.9 |\n| Q1 2017 | 9.5 | -1.9 | 7.6 | -1.9 |\n| Q2 2017 | 9.4 | -1.8 | 7.6 | -1.9 |\n| Q3 2017 | 9.5 | -1.7 | 7.8 | -1.9 |\n| Q4 2017 | 9.3 | -1.9 | 7.4 | -1.9 |\n| Q1 2018 | 9.3 | -2.0 | 7.3 | -1.9 |\n| Q2 2018 | 9.4 | -2.1 | 7.3 | -1.9 |\n| Q3 2018 | 8.6 | -2.3 | 6.3 | -1.9 |\n| Q4 2018 | 8.3 | -2.1 | 6.2 | -1.9 |\n| Q1 2019 | 8.2 | -2.0 | 6.2 | -1.9 |\n| Q2 2019 | 8.4 | -2.1 | 6.3 | -1.9 |\n| Q3 2019 | 8.8 | -1.8 | 7.0 | -1.9 |\n| Q4 2019 | 8.0 | -1.8 | 6.2 | -1.9 |\n| Q1 2020 | 7.3 | -1.7 | 5.6 | -1.9 |\n| Q2 2020 | 4.4 | -1.1 | 3.3 | -1.9 |\n| Q3 2020 | 7.5 | -1.2 | 6.3 | -1.9 |\n| Q4 2020 | 7.0 | -1.2 | 5.8 | -1.9 |\n| Q1 2021 | 7.3 | -1.5 | 5.8 | -1.9 |\n| Q2 2021 | 7.0 | -1.7 | 5.3 | -1.9 |\n| Q3 2021 | 7.3 | -2.0 | 5.3 | -1.9 |\n| Q4 2021 | 5.9 | -2.8 | 3.1 | -1.9 |\n| Q1 2022 | 5.4 | -3.1 | 2.3 | -1.9 |\n| Q2 2022 | 5.5 | -3.7 | 1.8 | -1.9 |\n| Q1 2023 | 7.2 | -2.5 | 4.7 | -1.9 |\n| Q2 2023 | 7.5 | -2.1 | 5.4 | -1.9 |\n| Q3 2023 | 7.8 | -2.0 | 5.8 | -1.9 |\n| Q4 2023 | 7.7 | -2.0 | 5.7 | -1.9 |\n| Q1 2024 | 8.8 | -1.8 | 7.1 | -1.9 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/22e676c1b288fd9c3e9cffd6f637a4f0.png", "anno": "### 深圳市一手住宅每周量价走势\n| | 成交套数 | 成交均价 |\n| --- | --- | --- |\n| 1(Jan) | 1027 | 54762 |\n| 8(Feb) | 184 | 55159 |\n| 15(Apr) | 412 | 53412 |\n| 22(Jun) | 520 | 55079 |\n| 29(Jul) | 393 | 49206 |\n| 36(Sep) | 588 | 54523 |\n| 43(Oct) | 616 | 54762 |\n| 50(Dec) | 751 | 53968 |\n| 5(Jan) | 581 | 53412 |\n| 12(Mar) | 408 | 54523 |", "chart_type": "组合图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/dc19c049f8515ed94c7ea230603ea53e.png", "anno": "### 图1 广州市文化产业增加值及占全市GDP比重\n#### 注：自2014年起文化产业增加值核算采用新的核算方法，核算口径有调整，包括法人单位和个体户。\n\n| 年份 | 增加值-(亿元) | 占GDP比重-(%) |\n| --- | --- | --- |\n| 2013 | 720.01 | 4.67 |\n| 2014 | 849.34 | 5.08 |\n| 2015 | 913.28 | 5.05 |\n| 2016 | 976.73 | 4.93 |\n| 2017 | 1161.07 | 5.40 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/aa63c065b7fd46d4873ec7b6d6380824.png", "anno": "### 北京人口统计 图6\n\n| 年 | 户籍人口-人口 | 居住人口-人口 | 出生率-千分比 | 死亡率-千分比 |\n| --- | --- | --- | --- | --- |\n| 2016 | 1380万 | 2195万 | 9.5 | 5.8 |\n| 2017 | 1383万 | 2194万 | 9.4 | 5.9 |\n| 2018 | 1386万 | 2192万 | 8.7 | 6.1 |\n| 2019 | 1389万 | 2190万 | 8.4 | 6.0 |\n| 2020 | 1392万 | 2189万 | 7.2 | 4.9 |\n| 2021 | 1395万 | 2189万 | 6.7 | 5.5 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/9925eb8857806b9a9bacdcbeaf4be257.png", "anno": "### 中国信用卡发放张数及增长率\n\n| | 信用卡发卡量（亿张） | 增速（%） |\n| --- | --- | --- |\n| 2004 | 0.32 | 18 |\n| 2005 | 0.4 | 25 |\n| 2006 | 0.5 | 25 |\n| 2007 | 0.9 | 81 |\n| 2008 | 1.42 | 56 |\n| 2009 | 1.86 | 30 |\n| 2010 | 2.3 | 24 |\n| 2011 | 2.85 | 24 |\n| 2012 | 3.31 | 16 |\n| 2013 | 3.91 | 19 |\n| 2014 | 4.55 | 16 |\n| 2015 | 4.32 | -5 |\n| 2016 | 4.65 | 7 |\n| 2017 | 5.88 | 26 |\n| 2018 | 6.86 | 17 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b6bdb40a9d8a86b72be17caf6f81830b.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### 图 2005-2013年中国科技人力资源总量\n\n| | 科技人力资源总量-万人 | 本科及以上学历科技人力资源总量-万人 | 每万人口中科技人力资源数-人 |\n| --- | --- | --- | --- |\n| 2005 | 3510 | 1460 | 268 |\n| 2006 | 3840 | 1620 | 292 |\n| 2007 | 4240 | 1810 | 321 |\n| 2008 | 4700 | 2020 | 354 |\n| 2009 | 5190 | 2161 | 389 |\n| 2010 | 5700 | 2353 | 425 |\n| 2011 | 6300 | 2556 | 468 |\n| 2012 | 6742 | 2745 | 498 |\n| 2013 | 7105 | 2943 | 522 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/9b160f5e2b8ade475889dcd37f2d9052.png", "anno": "### 2010-2020年墨西哥GDP及增速统计图\n\n| | GDP（亿美元） | GDP增速（%） |\n| --- | --- | --- |\n| 2010年 | 10578.01 | 5.30 |\n| '11 | 11804.90 | 4.00 |\n| '12 | 12010.90 | 4.05 |\n| '13 | 12744.43 | 1.75 |\n| '14 | 13153.51 | 3.00 |\n| '15 | 11718.68 | 3.30 |\n| '16 | 10784.91 | 2.70 |\n| '17 | 11589.13 | 2.40 |\n| '18 | 12223.49 | 2.50 |\n| '19 | 12688.71 | 0.00 |\n| 2020年 | 10761.63 | -8.24 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c3c5856323111f1d359281c45b2b24b9.png", "anno": "### 2008-2021年封测业增长情况\n#### 2008-2021年封测业销售额增长4.5倍。\n\n| | 集成电料封测销售-单位：亿元 | 增长率 |\n| --- | --- | --- |\n| 2008 | 618.9 | |\n| 2009 | 498.1 | -19.0% |\n| 2010 | 629.2 | 26.2% |\n| 2011 | 957.7 | 52.2% |\n| 2012 | 1015.7 | 8.0% |\n| 2013 | 1108.8 | 6.02% |\n| 2014 | 1255.9 | 14.30% |\n| 2015 | 1384 | 10.20% |\n| 2016 | 1564.3 | 13.02% |\n| 2017 | 1909.7 | 20.00% |\n| 2018 | 2191.9 | 16.10% |\n| 2019 | 2346.7 | 7.10% |\n| 2020 | 2509.5 | 7.00% |\n| 2021 | 2763 | 10.10% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/e7ddc183ee69ceeba1a974fe264edbfe.png", "anno": "### 2017—2020年我国高速铁路运营里程、投产新线建设情况\n| | 高铁投产新线(千米) | 高铁运营里程(万千米) |\n| --- | --- | --- |\n| 2017年 | 2182 | 2.5 |\n| 2018年 | 4100 | 2.9 |\n| 2019年 | 5474 | 3.5 |\n| 2020年 | 2000 | |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c39b89b8edb25cf904d561295f5d9779.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### 图3 河南第一产业增加值及占比情况\n\n| （年份） | 第一产业增加值-（亿元） | 一产比重-（%） |\n| --- | --- | --- |\n| 2010 | 3200 | 13.7 |\n| 2011 | 3500 | 12.7 |\n| 2012 | 3800 | 12.4 |\n| 2013 | 4100 | 12.2 |\n| 2014 | 4400 | 11.8 |\n| 2015 | 4500 | 11.3 |\n| 2016 | 4500 | 10.6 |\n| 2017 | 4500 | 9.6 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/366a9e4f1c97bd4aa2ce2a9f025b5549.png", "anno": "### 我国新能源汽车发展状况\n\n| | 新能源汽车产量(万辆) | 充电桩保有量(万个) | 新能源汽车产量占汽车产量比重 | 新能源汽车销量占汽车销量比重 |\n| --- | --- | --- | --- | --- |\n| 2016年 | 51.7 | 17.7 | 1.8% | 1.8% |\n| 2017年 | 71.6 | 45 | 2.3% | 2.7% |\n| 2018年 | 129.6 | 77.7 | 4.6% | 4.6% |\n| 2019年 | 119 | 121.8 | 4.65% | 4.9% |\n| 2020年 | 145.6 | 180 | 5.9% | 5.4% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/cbbcc1767f9230bd22654549f13324b8.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### 材料二：2018年1—11月全国工业机器人产量统计及增长情况\n\n| | 全国工业机器人累计产量(套)-单位:套 | 累计同比(%)-单位:% |\n| --- | --- | --- |\n| 2018年1-2月 | 18,770 | 25.1 |\n| 3月 | 32,950 | 29.6 |\n| 4月 | 46,412.9 | 32.2 |\n| 5月 | 60,071.1 | 33.7 |\n| 6月 | 73,849.1 | 23.9 |\n| 7月 | 87,700 | 21 |\n| 8月 | 101,717 | 19.4 |\n| 9月 | 108,271 | 9.3 |\n| 10月 | 118,452 | 8.7 |\n| 11月 | 129,556 | 6.6 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/fad6e4e9d78af65b296e3542c4572011.png", "anno": "| | 农民工数量(万人)-(万人) | 增长(%)-(%) |\n| --- | --- | --- |\n| 2015 | 27747 | 1.20 |\n| 2016 | 28171 | 1.60 |\n| 2017 | 28652 | 1.80 |\n| 2018 | 28836 | 0.90 |\n| 2019(年) | 29077 | 1.10 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/14c50fa61dbacda3ad6e7b896374b606.png", "anno": "| | 0~14岁人口比重-不同年龄组人口比重(%) | 15~64岁人口比重-不同年龄组人口比重(%) | 65岁及以上人口比重-不同年龄组人口比重(%) | 总人口数-总人口数(亿人) |\n| --- | --- | --- | --- | --- |\n| 1990年 | 27.69 | 66.74 | 5.57 | 11.34 |\n| 2000年 | 22.98 | 70.15 | 6.96 | 12.66 |\n| 2010年 | 16.60 | 74.53 | 8.87 | 13.40 |\n| 2020年 | 17.95 | 68.55 | 13.50 | 14.43 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/386891981cdc2ef67d09c28c4bd28f81.png", "anno": "### 图1-1 历次人口普查全省常住人口及年均增长率\n\n| | 常住人口-万人 | 年均增长率-% |\n| --- | --- | --- |\n| 1953年 | 4900 | 1.16 |\n| 1964年 | 5600 | 1.64 |\n| 1982年 | 7600 | 1.58 |\n| 1990年 | 8600 | 0.64 |\n| 2000年 | 9200 | 0.63 |\n| 2010年 | 9600 | 0.58 |\n| 2020年 | 10200 | 0.58 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/99ed18d5d2942a9d4e7b557475fa3257.png", "anno": "### 图 2015-2019 年中国乘用车市场销量及各类品牌市场份额\n\n| | 中国品牌 | 合资品牌 | 外资豪华品牌 | 总销量-万辆 |\n| --- | --- | --- | --- | --- |\n| 2015 | 37.9% | 56.0% | 6.1% | 1963.4 |\n| 2016 | 41.2% | 52.6% | 6.2% | 2325 |\n| 2017 | 41.7% | 50.8% | 7.4% | 2376.4 |\n| 2018 | 41.0% | 50.1% | 8.8% | 2235.1 |\n| 2019 | 38.0% | 51.2% | 10.8% | 1961 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/f37f6cb10bfae5edfe619ca4ff72b876.png", "anno": "### 图1 2001~2018年内蒙古城镇化水平变化\n\n| | 城镇人口（万人） | 内蒙古人口城镇化率（%） | 我国城镇化率（%） |\n| --- | --- | --- | --- |\n| 2001 | 1040 | 43.00% | 37.50% |\n| 2002 | 1055 | 43.70% | 39.00% |\n| 2003 | 1070 | 44.40% | 40.50% |\n| 2004 | 1110 | 45.70% | 41.70% |\n| 2005 | 1145 | 47.00% | 43.20% |\n| 2006 | 1185 | 48.60% | 44.00% |\n| 2007 | 1235 | 50.00% | 45.00% |\n| 2008 | 1280 | 51.70% | 45.70% |\n| 2009 | 1326 | 53.40% | 46.70% |\n| 2010 | 1390 | 55.40% | 50.00% |\n| 2011 | 1420 | 56.40% | 51.30% |\n| 2012 | 1455 | 57.70% | 52.50% |\n| 2013 | 1480 | 58.70% | 53.60% |\n| 2014 | 1505 | 59.50% | 54.80% |\n| 2015 | 1535 | 60.40% | 56.00% |\n| 2016 | 1560 | 61.30% | 57.50% |\n| 2017 | 1590 | 62.20% | 58.50% |\n| 2018 | 1610 | 63.00% | 59.80% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/0bccf2d219d186308fed927b73cc7f44.png", "anno": "### 2004—2008年某省生产总值及其增长速度\n\n| | 全省生产总值-（亿元） | 比上年增速-(%) |\n| --- | --- | --- |\n| 2004 | 11649 | 14.5 |\n| 2005 | 13438 | 12.8 |\n| 2006 | 15743 | 13.9 |\n| 2007 | 18780 | 14.7 |\n| 2008 | 21487 | 10.1 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/244c265220754215f89f446177c709b2.png", "anno": "### 北京新经济指数\n| | 北京新经济指数 |\n| --- | --- |\n| 2015 | 157.4 |\n| 2016 | 168.9 |\n| 2017 | 241.7 |\n| 2018 | 290.1 |\n| 2019 | 351.1 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/fdfd8628f70be33777b4033fba7fcfcd.png", "anno": "### 图4 2020年乘用车分系别销量统计\n\n| | 销量-（万辆）| 同比增速-（%） |\n| --- | --- | --- |\n| 自主 | 656 | -7.46 |\n| 欧系 | 513 | -7.43 |\n| 日系 | 466 | 1.68 |\n| 美系 | 194 | 1.74 |\n| 合资自主 | 119 | -11.28 |\n| 韩系 | 70 | -30.93 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/36f3663ca200e84ff64401c0142b39c7.png", "anno": "### 2008~2012年全国国道与高速公路日平均交通量及年平均交通拥挤度\n\n| | 国道交通量-全年日平均交通量(辆) | 高速公路交通量-全年日平均交通量(辆) | 国道拥挤度-年平均交通拥挤度 | 高速公路拥挤度-年平均交通拥挤度 |\n| --- | --- | --- | --- | --- |\n| 2008 | 10317 | 16270 | 0.39 | 0.27 |\n| 2009 | 10765 | 16837 | 0.37 | 0.27 |\n| 2010 | 11918 | 18155 | 0.41 | 0.29 |\n| 2011 | 12632 | 19423 | 0.42 | 0.31 |\n| 2012 | 14515 | 21305 | 0.47 | 0.35 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/99f41a5c7abb4fc15ebac7300e72872e.png", "anno": "| | 绝对数-亿元 | 增速-% |\n| --- | --- | --- |\n| 2010年 | 11600 | 15.4 |\n| 2011年 | 13300 | 14.1 |\n| 2012年 | 14100 | 11.5 |\n| 2013年 | 14800 | 9.1 |\n| 2014年 | 15900 | 9.3 |\n| 2015年 | 15900 | 7.7 |\n| 2016年 | 16700 | 7.5 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/6319e4927bcd1edd334728a892b994e1.png", "anno": "| | 每百元主营业务收入中的成本(元) | 主营业务收入利润率(%) |\n| --- | --- | --- |\n| 2015年1-7月 | 86.08 | 5.45 |\n| 1-8月 | 86.13 | 5.38 |\n| 1-9月 | 86.11 | 5.40 |\n| 1-10月 | 86.09 | 5.45 |\n| 1-11月 | 85.97 | 5.57 |\n| 1-12月 | 85.68 | 5.76 |\n| 2016年1-2月 | 85.26 | 5.12 |\n| 1-3月 | 85.36 | 5.44 |\n| 1-4月 | 85.66 | 5.50 |\n| 1-5月 | 85.73 | 5.59 |\n| 1-6月 | 85.79 | 5.68 |\n| 1-7月 | 85.83 | 5.67 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/99d00ef2480387e118fd4f7be04e3f66.png", "anno": "| | 火电发电量 | 火电发电量累计同比 |\n| --- | --- | --- |\n| 2013年 | 42000 | 7% |\n| 2014年 | 42000 | 0% |\n| 2015年 | 42000 | -2% |\n| 2016年 | 44000 | 3% |\n| 2017年 | 46000 | 4% |\n| 2018年1-6月 | 24000 | 8% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/9adc350779ff867a76979fc33688a07d.png", "anno": "### 图27 日本1961-1985年经济增长率及人均GDP（2010不变价美元）\n| | 人均GDP（2010不变价美元） | 增长率（%） |\n| --- | --- | --- |\n| 1961 | 8000 | 12.20 |\n| 1962 | 10000 | 9.00 |\n| 1963 | 11000 | 8.00 |\n| 1964 | 12500 | 11.80 |\n| 1965 | 13000 | 6.00 |\n| 1966 | 14000 | 11.00 |\n| 1967 | 15000 | 11.50 |\n| 1968 | 16500 | 13.50 |\n| 1969 | 18000 | 13.00 |\n| 1970 | 17500 | 0.20 |\n| 1971 | 19000 | 4.80 |\n| 1972 | 20500 | 8.20 |\n| 1973 | 22000 | 8.00 |\n| 1974 | 21000 | -1.50 |\n| 1975 | 21500 | 3.00 |\n| 1976 | 22500 | 4.00 |\n| 1977 | 23000 | 4.20 |\n| 1978 | 24000 | 5.00 |\n| 1979 | 25000 | 5.30 |\n| 1980 | 25500 | 2.80 |\n| 1981 | 26500 | 4.00 |\n| 1982 | 27000 | 3.00 |\n| 1983 | 28000 | 3.50 |\n| 1984 | 29000 | 4.20 |\n| 1985 | 30500 | 5.50 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/dd9ad1a84f0f2ac8bec81126f893b91f.png", "anno": "### 科技资源发表历年趋势图\n| | 总数-总数 | 专利-个数 | 论文-个数 |\n| --- | --- | --- | --- |\n| 2011 | | 330 | 470 |\n| 2012 | 1010 | 420 | 590 |\n| 2013 | 1229 | 530 | 705 |\n| 2014 | 1460 | 615 | 840 |\n| 2015 | 1660 | 735 | 930 |\n| 2016 | 1930 | 840 | 1080 |\n| 2017 | 2086 | 945 | 1140 |\n| 2018 | 2650 | 1290 | 1350 |\n| 2019 | | 1515 | 1650 |\n| 2020 | | 1570 | 1770 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/eb666627895b99167cb1cf5ec60f1ab9.png", "anno": "### 图1 2013-2019年民营企业100强入围门槛及其增速\n| | 入围门槛（亿元） | 增长率 |\n| --- | --- | --- |\n| 2013年 | 9.69 | 10.74% |\n| 2014年 | 10.17 | 4.95% |\n| 2015年 | 10.05 | 1.18% |\n| 2016年 | 14.31 | 42.39% |\n| 2017年 | 16.52 | 15.44% |\n| 2018年 | 18.19 | 10.09% |\n| 2019年 | 18.99 | 4.40% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/52844aed7534c9577967b9cef635ea55.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### 2017年1—12月我国内燃机销量及同比增速\n\n| | 销量-万台 | 同比增速-% |\n| --- | --- | --- |\n| 1月 | 475.57 | -2.7 |\n| 2月 | 434.56 | 31.1 |\n| 3月 | 523.67 | 5.8 |\n| 4月 | 471.11 | 4.5 |\n| 5月 | 450.25 | 9.7 |\n| 6月 | 460.17 | 8.0 |\n| 7月 | 413.01 | 4.0 |\n| 8月 | 421.10 | 1.5 |\n| 9月 | 488.30 | 4.5 |\n| 10月 | 469.20 | 1.7 |\n| 11月 | 516.01 | -2.0 |\n| 12月 | 519.19 | -4.3 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b002ea2fe244e3b51eaa3bce1f487821.png", "anno": "### 2007年-2018年电视剧备案（总部数、总集数）对比\n#### 数据来源：国家广播电视总局\n#### 数据统计：综艺\n\n| | 集数 | 部数 |\n| --- | --- | --- |\n| 2007年 | 20000 | 740 |\n| 2008年 | 25000 | 830 |\n| 2009年 | 24700 | 830 |\n| 2010年 | 28500 | 965 |\n| 2011年 | 33500 | 1050 |\n| 2012年 | 35800 | 1100 |\n| 2013年 | 34800 | 1040 |\n| 2014年 | 40000 | 1070 |\n| 2015年 | 42100 | 1150 |\n| 2016年 | 47000 | 1200 |\n| 2017年 | 46000 | 1160 |\n| 2018年 | 45000 | 1155 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2b5d197215841670ac1dc34c28b77604.png", "anno": "### 图2 本地农民工总量及增速\n\n| | 本地农民工（万人） | 增减比例（%） |\n| --- | --- | --- |\n| 2019年 | 393.0 | 8.8 |\n| 2018年 | 361.2 | 2.0 |\n| 2017年 | 354.0 | 6.1 |\n| 2016年 | 333.6 | 11.0 |\n| 2015年 | 300.6 | 6.8 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/5c870149704943009dd60b80fe236426.png", "anno": "### 图6-2 中国对外资产持有者结构（2012—2019年）\n\n| | 非政府部门-亿美元 | 政府部门-亿美元 | 政府部门占比（右轴）-% | 非政府部门占比（右轴）-% |\n| --- | --- | --- | --- | --- |\n| 2012年年底 | 35401 | 16628 | 68.0 | 32.0 |\n| 2013年年底 | 40357 | 19516 | 67.4 | 32.6 |\n| 2014年年底 | 40642 | 23708 | 63.2 | 36.8 |\n| 2015年年底 | 35988 | 25599 | 58.4 | 41.6 |\n| 2016年年底 | 33082 | 31961 | 50.9 | 49.1 |\n| 2017年年底 | 34515 | 34696 | 49.9 | 50.1 |\n| 2018年年底 | 33812 | 39360 | 46.2 | 53.8 |\n| 2019年年底 | 34722 | 42312 | 45.1 | 54.9 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/23c658310a96205b1a681fe977e6f99d.png", "anno": "### 2009年-2016年10月海关进口量（单位：辆）\n\n| | 进口汽车进口量 | 同比增长率 |\n| --- | --- | --- |\n| 2009 | 420696 | 3.0% |\n| 2010 | 771431 | 93.0% |\n| 2011 | 1003459 | 30.1% |\n| 2012 | 1091309 | 8.8% |\n| 2013 | 1170581 | 7.3% |\n| 2014 | 1422992 | 21.6% |\n| 2015 | 1078096 | -24.2% |\n| 2016YTD | 830554 | -6.5% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/eda397a9c391f433ed7c22644bbd5ad9.png", "anno": "### 2006-2011年民航运输总周转量\n\n| | 运输总周转量-亿吨公里 | 比上年增长-% |\n| --- | --- | --- |\n| 2006 | 305.8 | 17 |\n| 2007 | 365.3 | 19.5 |\n| 2008 | 376.8 | 3.1 |\n| 2009 | 427.1 | 13.4 |\n| 2010 | 538.5 | 26.1 |\n| 2011 | 577.4 | 7.2 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/f55638771209192e40951111321295fc.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### 2010-2024年芯片设计企业数量增长情况\n\n| | 数量 | 增长率 |\n| --- | --- | --- |\n| 2010 | 582 | |\n| 2011 | 534 | -10% |\n| 2012 | 569 | 4% |\n| 2013 | 632 | 10% |\n| 2014 | 681 | 6% |\n| 2015 | 736 | 6% |\n| 2016 | 1362 | 82% |\n| 2017 | 1380 | 0% |\n| 2018 | 1698 | 20% |\n| 2019 | 1780 | 3% |\n| 2020 | 2218 | 23% |\n| 2021 | 2810 | 26% |\n| 2022 | 3243 | 15% |\n| 2023 | 3451 | 6% |\n| 2024 | 3626 | 4% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c895aeea7262bfde70877224b8557cc2.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### 图1 2010~2018年河南粮食产量变动情况\n\n| 年份 | 夏粮 | 秋粮 | 粮食单产-(公斤) |\n| --- | --- | --- | --- |\n| 2010 | 620 | 480 | 370 |\n| 2011 | 620 | 530 | 375 |\n| 2012 | 630 | 530 | 378 |\n| 2013 | 630 | 570 | 375 |\n| 2014 | 650 | 560 | 372 |\n| 2015 | 660 | 610 | 388 |\n| 2016 | 660 | 600 | 386 |\n| 2017 | 670 | 600 | 398 |\n| 2018 | 660 | 630 | 407 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/6d1fab4d6e587c811fa0abb0325cd014.png", "anno": "### “十一五”期间货物进出口总额及增长速度\n\n| | 货物进出口总额-亿美元 | 货物进出口总额比上年增长-% |\n| --- | --- | --- |\n| 2006 | 17604 | 23.8 |\n| 2007 | 21766 | 23.6 |\n| 2008 | 25633 | 17.8 |\n| 2009 | 22075 | -13.9 |\n| 2010 | 29728 | 34.7 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/0bfd1b996a9c5d2ece50cba27da20832.png", "anno": "### 图2: 2013-2017年粮食产量及增长速度\n\n| | 粮食产量-万吨 | 增速-% |\n| --- | --- | --- |\n| 2013年 | 207.9 | 33.0 |\n| 2014年 | 216.9 | 4.4 |\n| 2015年 | 227.4 | 4.8 |\n| 2016年 | 198.6 | -12.6 |\n| 2017年 | 198.9 | 0.1 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/95886067d4b081cfbe17827731df3048.png", "anno": "### 图1 2007-2011年陕西省网民规\n\n| | 陕西省网民数量-单位:万人 | 占陕西人口比例 | 年增长率 |\n| --- | --- | --- | --- |\n| 2007 | 517 | 13.9% | 30.9% |\n| 2008 | 790 | 21.1% | 52.8% |\n| 2009 | 995 | 26.5% | 25.9% |\n| 2010 | 1295 | 34.3% | 30.2% |\n| 2011 | 1429 | 38.3% | 10.3% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/0947142f8fab7dc50e7a693849d773e1.png", "anno": "| | 农民工总量（万人）-单位：万人 | 农民工总量增速 |\n| --- | --- | --- |\n| 2012 | 26261 | 3.89% |\n| 2013 | 26894 | 2.41% |\n| 2014 | 27395 | 1.86% |\n| 2015 | 27747 | 1.28% |\n| 2016 | 28171 | 1.53% |\n| 2017 | 28652 | 1.71% |\n| 2018 | 28836 | 0.64% |\n| 2019 | 29077 | 0.84% |\n| 2020 | 28560 | -1.78% |\n| 2021 | 29251 | 2.42% |\n| 2022 | 29562 | 1.06% |\n| 2023 | 29753 | 0.65% |\n| 2024 | 29973 | 0.74% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/eeb17947a48f0c6e90666ab2b9572f49.png", "anno": "### 图 16 2016~2021年地/县300强医院净利润及利润率均值\n\n| （年份） | 净利润-（万元） | 利润率-（%） |\n| --- | --- | --- |\n| 2016 | 4550 | 4.00 |\n| 2017 | 5050 | 3.97 |\n| 2018 | 4465 | 3.16 |\n| 2019 | 5913 | 4.06 |\n| 2020 | 6836 | 4.42 |\n| 2021 | 6412 | 4.25 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/df090654344c281fe7ae5a92dea976ca.png", "anno": "### 图1 2010~2019 年中国乘用车销量分析\n\n| | 乘用车销量-(万辆) | 增长率-(%) |\n| --- | --- | --- |\n| 2010 | 1375 | 33.3 |\n| 2011 | 1450 | 5.5 |\n| 2012 | 1547 | 6.7 |\n| 2013 | 1793 | 15.9 |\n| 2014 | 1970 | 9.9 |\n| 2015 | 2115 | 7.4 |\n| 2016 | 2438 | 15.3 |\n| 2017 | 2472 | 4.4 |\n| 2018 | 2371 | -4.1 |\n| 2019 | 2144 | -9.6 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/22142520b536f1248e4adca7cb816fb9.png", "anno": "### 图1 2013-2019年民营企业100强入围门槛及其增速\n| | 入围门槛（亿元） | 增长率 |\n| --- | --- | --- |\n| 2013年 | 9.69 | 10.74% |\n| 2014年 | 10.17 | 4.95% |\n| 2015年 | 10.05 | 1.18% |\n| 2016年 | 14.31 | 42.39% |\n| 2017年 | 16.52 | 15.44% |\n| 2018年 | 18.19 | 10.09% |\n| 2019年 | 18.99 | 4.40% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a48a798c88373dc5fecb713d5dce64d9.png", "anno": "### 图2：近一年南充市主城区商品住宅成交情况月度走势\n\n| | 套数 | 均价 |\n| --- | --- | --- |\n| 1 | 2546 | 6615 |\n| 2 | 2647 | 6674 |\n| 3 | 3312 | 6333 |\n| 4 | 6238 | 6469 |\n| 5 | 3964 | 6587 |\n| 6 | 2695 | 6614 |\n| 7 | 2902 | 6792 |\n| 8 | 2702 | 6353 |\n| 9 | 2432 | 6483 |\n| 10 | 2907 | 5860 |\n| 11 | 2026 | 6049 |\n| 12 | 2260 | 6152 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/256ff0a0d706754ece414dff72a41c8b.png", "anno": "### 图1 2013-2019年民营企业100强入围门槛及其增速\n| | 入围门槛（亿元） | 增长率 |\n| --- | --- | --- |\n| 2013年 | 9.69 | 10.74% |\n| 2014年 | 10.17 | 4.95% |\n| 2015年 | 10.05 | 1.18% |\n| 2016年 | 14.31 | 42.39% |\n| 2017年 | 16.52 | 15.44% |\n| 2018年 | 18.19 | 10.09% |\n| 2019年 | 18.99 | 4.40% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/cbca6f62835b5f138b9794dc75f0f7b9.png", "anno": "### 图1： 2013-2017年地区生产总值总量及增长速度\n| | 地区生产总值-亿元 | 增速-% |\n| --- | --- | --- |\n| 2013年 | 850.6 | 16.9 |\n| 2014年 | 964.5 | 16.0 |\n| 2015年 | 1045.6 | 12.0 |\n| 2016年 | 1118.2 | 8.2 |\n| 2017年 | 1220.0 | 7.0 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/58b52fb3efcd336a1b04c830319224dd.png", "anno": "### 2016—2022年全国R&D经费及投入强度情况\n| | R&D经费总量-亿元 | R&D经费与GDP之比-% |\n| --- | --- | --- |\n| 2016年 | 15677 | 2.10 |\n| 2017年 | 17606 | 2.12 |\n| 2018年 | 19678 | 2.14 |\n| 2019年 | 22144 | 2.24 |\n| 2020年 | 24393 | 2.41 |\n| 2021年 | 27956 | 2.43 |\n| 2022年 | 30870 | 2.55 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a653d7aee5d023ba2ccc1d0660a4579a.png", "anno": "### 2008—2012年全国公路总里程及公路密度\n\n| | 全国公路总里程-万公里 | 全国公路密度-公里/百平方公里 |\n| --- | --- | --- |\n| 2008 | 373.0 | 38.9 |\n| 2009 | 386.1 | 40.2 |\n| 2010 | 400.8 | 41.8 |\n| 2011 | 410.6 | 42.8 |\n| 2012 | 423.8 | 44.1 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/cee125df0d093ba7c3e344e6a7561ed0.png", "anno": "### 深股通\n\n| | 当日使用总额（亿元） | 当日额度使用率（%） |\n| --- | --- | --- |\n| 12月5日 | 27.11 | 20.85% |\n| 12月6日 | 19.39 | 14.91% |\n| 12月7日 | 17.79 | 13.69% |\n| 12月8日 | 17.08 | 13.14% |\n| 12月9日 | 4.23 | 0.25% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/0856529078ddbfeffd66d763497f87c1.png", "anno": "| （年） | 贫困人口-（万人） | 贫困发生率-（%） |\n| --- | --- | --- |\n| 2015 | 5575 | 5.7 |\n| 2016 | 4335 | 4.5 |\n| 2017 | 3046 | 3.1 |\n| 2018 | 1660 | 1.7 |\n| 2019 | 551 | 0.6 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/fe67fd815be2dc051f5cb656196eee93.png", "anno": "| | 2022年人均可支配收入 | 2023年人均可支配收入 | 2023年名义增速 | 2023年实际增速 |\n| ---- | ---- | ---- | ---- | ---- |\n| 全国居民 | 36883 | 39218 | 6.3 | 6.1 |\n| 城镇居民 | 49283 | 51821 | 5.1 | 4.8 |\n| 农村居民 | 20133 | 21691 | 7.7 | 7.6 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/bd30c3a9c99e4d9b4c2102c0e2610dcd.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n| | 国道交通量-全年日平均交通量（辆） | 高速公路交通量-全年日平均交通量（辆） | 国道拥挤度-年平均交通拥挤度 | 高速公路拥挤度-年平均交通拥挤度 |\n| --- | --- | --- | --- | --- |\n| 2008 | 10317 | 16270 | 0.39 | 0.27 |\n| 2009 | 10765 | 16837 | 0.37 | 0.27 |\n| 2010 | 11918 | 18155 | 0.41 | 0.29 |\n| 2011 | 12632 | 19423 | 0.42 | 0.31 |\n| 2012 | 14515 | 21305 | 0.47 | 0.35 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/8387caf017566dffc8522524c158a0fd.png", "anno": "### 2006-2011年民航运输总周转量\n\n| | 运输总周转量-亿吨公里 | 比上年增长-% |\n| --- | --- | --- |\n| 2006 | 305.8 | 17 |\n| 2007 | 365.3 | 19.5 |\n| 2008 | 376.8 | 3.1 |\n| 2009 | 427.1 | 13.4 |\n| 2010 | 538.5 | 26.1 |\n| 2011 | 577.4 | 7.2 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/0892530ac31c82ea96a5c8686473ec03.png", "anno": "### Chart 2: Despite the uptick in volatility in 2025, gold's annualised volatility remains well below previous highs\n#### Annualised gold volatility and returns*\n#### *Data from 1January 1971 to 12 December 2025. Annualised volatility is calculated using weekly returns.\n#### Source:Bloomberg.World Gold Council\n\n| | Annualised volatility-Volatility | Avg. annualised volatility-Volatility | Ann. return (rhs)-Annual return |\n| --- | --- | --- | --- |\n| 1971 | 8% | 17% | 17% |\n| 1972 | 17% | 17% | 50% |\n| 1973 | 32% | 17% | 75% |\n| 1974 | 30% | 17% | 75% |\n| 1975 | 18% | 17% | -25% |\n| 1976 | 20% | 17% | -17% |\n| 1977 | 12% | 17% | 25% |\n| 1978 | 21% | 17% | 38% |\n| 1979 | 24% | 17% | 125% |\n| 1980 | 53% | 17% | 17% |\n| 1981 | 23% | 17% | -30% |\n| 1982 | 31% | 17% | 14% |\n| 1983 | 20% | 17% | -17% |\n| 1984 | 14% | 17% | -18% |\n| 1985 | 17% | 17% | 5% |\n| 1986 | 17% | 17% | 18% |\n| 1987 | 13% | 17% | 22% |\n| 1988 | 11% | 17% | -17% |\n| 1989 | 13% | 17% | -5% |\n| 1990 | 17% | 17% | -6% |\n| 1991 | 10% | 17% | -8% |\n| 1992 | 8% | 17% | -7% |\n| 1993 | 12% | 17% | 17% |\n| 1994 | 8.5% | 17% | 0% |\n| 1995 | 6% | 17% | 2% |\n| 1996 | 5.5% | 17% | -2% |\n| 1997 | 9% | 17% | -20% |\n| 1998 | 13.5% | 17% | -2% |\n| 1999 | 19% | 17% | 2% |\n| 2000 | 12.5% | 17% | -2% |\n| 2001 | 11.5% | 17% | 2% |\n| 2002 | 14.5% | 17% | 25% |\n| 2003 | 17% | 17% | 17% |\n| 2004 | 14% | 17% | 5% |\n| 2005 | 13.5% | 17% | 19% |\n| 2006 | 26% | 17% | 25% |\n| 2007 | 16.5% | 17% | 33% |\n| 2008 | 27.5% | 17% | 0% |\n| 2009 | 19.5% | 17% | 33% |\n| 2010 | 16% | 17% | 35% |\n| 2011 | 20.5% | 17% | 7% |\n| 2012 | 15.5% | 17% | 7% |\n| 2013 | 21% | 17% | -25% |\n| 2014 | 14% | 17% | -5% |\n| 2015 | 15.5% | 17% | -8% |\n| 2016 | 17% | 17% | 5% |\n| 2017 | 11% | 17% | 14% |\n| 2018 | 10% | 17% | 0% |\n| 2019 | 10% | 17% | 17% |\n| 2020 | 20% | 17% | 22% |\n| 2021 | 13% | 17% | -4% |\n| 2022 | 13% | 17% | 0% |\n| 2023 | 13.5% | 17% | 17% |\n| 2024 | 15% | 17% | 25% |\n| 2025 | 17% | 17% | 67% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9561352887018152564408d83a54a9f7.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### Supply/Demand Balance\n\n| | Global Fleet Capacity (year-end)-MTEU | % Global Throughput Growth-MTEU | % Annual Capacity Growth-MTEU |\n| --- | --- | --- | --- |\n| 2014 | 18 | 5.2% | 6.3% |\n| 2015 | 19 | 1.5% | 8.6% |\n| 2016 | 20 | 2.7% | 1.8% |\n| 2017 | 21 | 6.7% | 3.8% |\n| 2018 | 22 | 5.2% | 5.8% |\n| 2019 | 23 | 2.6% | 4.0% |\n| 2020 | 24 | -0.7% | 2.9% |\n| 2021 F | 25 | 4.5% | 5.8% |\n| 2022 F | 26 | 4.0% | 3.1% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/8f895aa69501d3fb45d587c58b59d932.png", "anno": "### Figure 1: BRK's cash position vs. market cap\n\n| | Cash Position ($bn, Right Axis) | Cash Position / BRK's Market Cap (%, Left Axis) |\n| --- | --- | --- |\n| 1Q19 | 110.0 | 23% |\n| 2Q19 | 120.0 | 24% |\n| 3Q19 | 125.0 | 25% |\n| 4Q19 | 125.0 | 23% |\n| 1Q20 | 135.0 | 30% |\n| 2Q20 | 140.0 | 34% |\n| 3Q20 | 140.0 | 28% |\n| 4Q20 | 135.0 | 25% |\n| 1Q21 | 140.0 | 24% |\n| 2Q21 | 139.8 | 23% |\n| 3Q21 | 140.0 | 24% |\n| 4Q21 | 140.0 | 22% |\n| 1Q22 | 100.0 | 14% |\n| 2Q22 | 100.0 | 17% |\n| 3Q22 | 105.0 | 18% |\n| 4Q22 | 120.0 | 18.5% |\n| 1Q23 | 123.0 | 19% |\n| 2Q23 | 140.0 | 19.1% |\n| 3Q23 | 150.0 | 20% |\n| 4Q23 | 160.0 | 21% |\n| 1Q24 | 170.0 | 20% |\n| 2Q24 | 270.0 | 31% |\n| 3Q24 | 320.0 | 32% |\n| 4Q24 | 330.0 | 34% |\n| 1Q25 | 340.0 | 29.5% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/795d72a6781265ebcbc3ec8121a1f7bd.png", "anno": "### Changes to the fundamental market balance\n\n| | Demand | Supply | Utilisation rate (RH-axis) |\n| --- | --- | --- | --- |\n| 2007 | 6.0 | 5.0 | 100% |\n| 2008 | 1.0 | 6.0 | 95% |\n| 2009 | -4.0 | 10.0 | 83% |\n| 2010 | 13.0 | 18.0 | 83% |\n| 2011 | 6.0 | 15.0 | 74% |\n| 2012 | 6.0 | 11.0 | 71% |\n| 2013 | 4.5 | 4.5 | 71% |\n| 2014 | 6.0 | 4.5 | 72% |\n| 2015 | 1.0 | 3.0 | 70% |\n| 2016 | 2.5 | 2.5 | 70% |\n| 2017 | 4.0 | 3.0 | 70% |\n| 2018 | 2.0 | 1.0 | 71% |\n| 2019 | 2.0 | 1.5 | 71% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4d8ed297f3e2dc57ab7fee168efa4a93.png", "anno": "### Fig. 3: US CPI inflation + budget deficit versus the unemployment rate\n\n#### Source: CEIC and Nomura Global Economics\n\n| | Budget deficit, % of GDP - % points | CPI, % y-o-y - % points | Unemployment rate, % - % points |\n| --- | --- | --- | --- |\n| 1960 | 0.1 | 1.5 | 6 |\n| 1962 | 1.5 | 1 | 5.9 |\n| 1964 | 1.5 | 0.7 | 5.7 |\n| 1966 | 3 | 0.5 | 4 |\n| 1968 | 4.5 | 3 | 3.5 |\n| 1970 | 6 | 0.2 | 5 |\n| 1972 | 3.5 | 2 | 5.8 |\n| 1974 | 11 | 0.5 | 8 |\n| 1976 | 6 | 4 | 8 |\n| 1978 | 7.5 | 2.5 | 6 |\n| 1980 | 13.5 | 2.5 | 9.5 |\n| 1982 | 6.1 | 3.9 | 10 |\n| 1984 | 4.5 | 4.5 | 7.5 |\n| 1986 | 2 | 5 | 7 |\n| 1988 | 4 | 3 | 5.8 |\n| 1990 | 6 | 3 | 6 |\n| 1992 | 3 | 4.5 | 7.5 |\n| 1994 | 3 | 2.5 | 6 |\n| 1996 | 3 | 1.5 | 5.7 |\n| 1998 | 1.5 | -1 | 4.5 |\n| 2000 | 3.1 | -2.8 | 4 |\n| 2002 | 1.5 | 1.5 | 3 |\n| 2004 | 2.9 | 3.1 | 5.8 |\n| 2006 | 3 | 2.2 | 5 |\n| 2008 | 4 | 3 | 6 |\n| 2010 | 2 | 9 | 10 |\n| 2012 | 2.5 | 6.5 | 8 |\n| 2014 | 2 | 2.5 | 6 |\n| 2016 | 1.5 | 3 | 5 |\n| 2018 | 2.8 | 4.2 | 4 |\n| 2020 | 1.5 | 14.5 | 8 |\n| 2022 | 8.5 | 5 | 4 |\n| 2024 | 3 | 7 | 4.5 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9e76809e4105fbbafa758069031b1cb7.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n| | 网购交易额（亿元） | 增长率 |\n| --- | --- | --- |\n| 2001 | 6 | |\n| 2002 | 18 | 200.0% |\n| 2003 | 40 | 122.2% |\n| 2004 | 81 | 102.5% |\n| 2005 | 193 | 138.3% |\n| 2006 | 312 | 61.7% |\n| 2007 | 594 | 90.4% |\n| 2008 | 1250 | 110.4% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ee58dc6677e7e1c322b79f9593437028.png", "anno": "柱状图1(0,0),(0,0)\n### Gross enrolment ratio in higher education in China (1990—2019)\n\n| | Gross enrolment ratio |\n| --- | --- |\n| 1990 | 3.4% |\n| 1995 | 6.68% |\n| 2000 | 11% |\n| 2001 | 13.3% |\n| 2002 | 15% |\n| 2003 | 17% |\n| 2004 | 19% |\n| 2005 | 21% |\n| 2006 | 22% |\n| 2007 | 23% |\n| 2008 | 23.3% |\n| 2009 | 24.2% |\n| 2010 | 24.7% |\n| 2011 | 26.55% |\n| 2012 | 30% |\n| 2013 | 34.5% |\n| 2014 | 37.5% |\n| 2015 | 40% |\n| 2016 | 42.9% |\n| 2017 | 45.7% |\n| 2018 | 48.1% |\n| 2019 | 51.6% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/7d1bef02de6050c269effc53dd6aa112.png", "anno": "### U.S. Housing Production\n\n| | Housing Starts | Starts Per Million Population |\n| --- | --- | --- |\n| 1940 | 600 | 800 |\n| 1950 | 1900 | 2300 |\n| 1960 | 1300 | 1300 |\n| 1970 | 1400 | 1200 |\n| 1980 | 1200 | 1000 |\n| 1990 | 1100 | 750 |\n| 2000 | 1500 | 800 |\n| 2005 | 600 | 400 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/d6d4716e6f591ef663e448e746eeda81.png", "anno": "折线图1(0,0),(0,0)\n### Degree of urbanization in China from 1980 to 2019\n| | Share of urban population |\n| --- | --- |\n| 1980 | 19.39% |\n| 1985 | 23.71% |\n| 1990 | 28.41% |\n| 1995 | 29.04% |\n| 2000 | 36.22% |\n| 2005 | 42.99% |\n| 2010 | 49.95% |\n| 2011 | 51.27% |\n| 2012 | 52.50% |\n| 2013 | 53.73% |\n| 2014 | 54.92% |\n| 2015 | 56.1% |\n| 2016 | 57.35% |\n| 2017 | 58.47% |\n| 2018 | 59.58% |\n| 2019 | 60% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/d003671d0f80f2cc9accd37c9ce36a3d.png", "anno": "### Annual average estimate of additional platinum imports into China in excess of identifiable demand\n| | Annual inventory build-up-USD/oz | Platinum price (rhs)-USD/oz |\n| --- | --- | --- |\n| 1993 | 0 | 358 |\n| 1994 | 0 | 400 |\n| 1995 | 0 | 450 |\n| 1996 | 0 | 360 |\n| 1997 | 0 | 360 |\n| 1998 | 0 | 350 |\n| 1999 | 0 | 350 |\n| 2000 | 0 | 550 |\n| 2001 | 0 | 520 |\n| 2002 | 0 | 530 |\n| 2003 | 0 | 700 |\n| 2004 | 0 | 850 |\n| 2005 | 0 | 900 |\n| 2006 | -350 | 1160 |\n| 2007 | -200 | 1320 |\n| 2008 | -9 | 1550 |\n| 2009 | -50 | 1190 |\n| 2010 | 850 | 1600 |\n| 2011 | 1100 | 1700 |\n| 2012 | 2000 | 1500 |\n| 2013 | 900 | 1450 |\n| 2014 | 300 | 1350 |\n| 2015 | 550 | 1000 |\n| 2016 | 650 | 940 |\n| 2017 | 250 | 900 |\n| 2018 | 600 | 850 |\n| 2019 | 750 | 840 |\n| 2020 | 800 | 880 |\n| 2021 | 1500 | 1080 |\n| 2022 | 2800 | 960 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/afdbcd745ddb5b74abd3c4bccb4898a2.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n### Rural population in poverty\n| | Rural population in poverty-(million people) | poverty headcount ratio (% of rural population)|\n| --- | --- | --- |\n| 2012 | 90 | 10% |\n| 2013 | 80 | 8% |\n| 2014 | 70 | 7% |\n| 2015 | 60 | 5% |\n| 2016 | 45 | 4% |\n| 2017 | 35 | 3% |\n| 2018 | 20 | 2% |\n| 2019 | 10 | 1% |\n| 2020 | 0 | 0% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/6fc00521574b6dd1cc1b916634a8d267.png", "anno": "### Source: Berkshire Hathaway accounts, Thomson Reuters Datastream\n\n| | Berkshire Hathaway cash pile ($ billion) | S&P 500 |\n| --- | --- | --- |\n| Q1 1996 | 1 | 600 |\n| Q1 1997 | 1 | 700 |\n| Q1 1998 | 1 | 1000 |\n| Q1 1999 | 4 | 1250 |\n| Q1 2000 | 3 | 1450 |\n| Q1 2001 | 8 | 1210 |\n| Q1 2002 | 9 | 1170 |\n| Q1 2003 | 18| 850 |\n| Q1 2004 | 38 | 1180 |\n| Q1 2005 | 45 | 1190 |\n| Q1 2006 | 43 | 1300 |\n| Q1 2007 | 45 | 1450 |\n| Q1 2008 | 35 | 1300 |\n| Q1 2009 | 26 | 800 |\n| Q1 2010 | 25 | 1050 |\n| Q1 2011 | 40 | 1320 |\n| Q1 2012 | 38 | 1400 |\n| Q1 2013 | 50 | 1500 |\n| Q1 2014 | 50 | 1820 |\n| Q1 2015 | 63 | 2080 |\n| Q1 2016 | 59 | 2070 |\n| Q1 2017 | 97 | 2400 |\n| Q1 2018 | 130 | 2800 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/80a4d375ac2cc4f70c99aff038920fe0.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### US debt and the debt ceiling\n\n| | Debt ceiling-US $ trillion | | Estimated figure-US $ trillion |\n| --- | --- | --- | --- |\n| 1980 | 1.0 | 1.0 | |\n| 1981 | 1.1 | 1.1 | |\n| 1982 | 1.2 | 1.2 | |\n| 1983 | 1.4 | 1.4 | |\n| 1984 | 1.6 | 1.6 | |\n| 1985 | 1.8 | 1.8 | |\n| 1986 | 2.1 | 2.1 | |\n| 1987 | 2.4 | 2.4 | |\n| 1988 | 2.9 | 2.6 | |\n| 1989 | 2.9 | 2.9 | |\n| 1990 | 3.1 | 3.1 | |\n| 1991 | 4.2 | 3.6 | |\n| 1992 | 4.2 | 4.0 | |\n| 1993 | 4.5 | 4.4 | |\n| 1994 | 5.0 | 4.6 | |\n| 1995 | 5.0 | 5.0 | |\n| 1996 | 5.6 | 5.3 | |\n| 1997 | 5.6 | 5.4 | |\n| 1998 | 6.0 | 5.5 | |\n| 1999 | 6.0 | 5.7 | |\n| 2000 | 6.0 | 5.7 | |\n| 2001 | 6.0 | 5.8 | |\n| 2002 | 6.5 | 6.2 | |\n| 2003 | 7.5 | 6.8 | |\n| 2004 | 7.5 | 7.4 | |\n| 2005 | 8.2 | 7.7 | |\n| 2006 | 9.0 | 8.4 | |\n| 2007 | 9.0 | 9.0 | |\n| 2008 | 10.7 | 10.0 | |\n| 2009 | 12.2 | 11.9 | |\n| 2010 | 14.4 | 13.5 | |\n| 2011 | 15.3 | 14.9 | |\n| 2012 | 16.5 | | 16.4 |\n| 2013 | | | 17.5 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/fd91c980d8922784e9c8d15f9af09629.png", "anno": "### GLOBAL TOTAL SMART HOMES AND DEVICES CONNECTED IN SMART HOME APPLICATIONS (Excludes Smartphones, Tablets, Laptops and PCs)\n| | Smart Homes-#M | Connected Devices-#M |\n| --- | --- | --- |\n| 2010 | 14 | 50 |\n| 2011 | 18 | 100 |\n| 2012 | 35 | 300 |\n| 2013 | 58 | 500 |\n| 2014 | 82 | 767 |\n| 2015 | 108 | 1095 |\n| 2016 | 134 | 1496 |\n| 2017 | 161 | 1961 |\n| 2018 | 186 | 2520 |\n| 2019 | 210 | 3157 |\n| 2020 | 231 | 3889 |\n| 2021 | 251 | 4709 |\n| 2022 | 270 | 5619 |\n| 2023 | 288 | 6831 |\n| 2024 | 305 | 7750 |\n| 2025 | 319 | 8972 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/146ccf77421cb27392956c046f26c354.png", "anno": "折线图1(0,0),(0,0)\n### Degree of urbanization in China from 1980 to 2019\n\n| | Share of urban population |\n| --- | --- |\n| 1980 | 19.39% |\n| 1985 | 23.71% |\n| 1990 | 26.41% |\n| 1995 | 29.04% |\n| 2000 | 36.22% |\n| 2005 | 42.99% |\n| 2010 | 49.95% |\n| 2011 | 51.27% |\n| 2012 | 52.50% |\n| 2013 | 53.73% |\n| 2014 | 54.91% |\n| 2015 | 56.10% |\n| 2016 | 57.35% |\n| 2017 | 58.46% |\n| 2018 | 59.58% |\n| 2019 | 60.80% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/d6fcf0f9eebd9025f49ade8102d96fe9.png", "anno": "### Chinese Exports to The US Did Fall During First Trade War\n#### However pandemic reversed that trend and China's surplus is higher now\n| | China's trade surplus with the US ($ billion) | Exports ($ billion) | Imports ($ billion) | First Trump presidency ($ billion) |\n| --- | --- | --- | --- | --- |\n| 2010 | 140 | 215 | 75| |\n| 2011 | 180 | 285 | 105 | |\n| 2012 | 205 | 325 | 120 | |\n| 2013 | 220| 350 | 130 | |\n| 2014 | 220| 375 | 155 | |\n| 2015 | 245 | 405 | 160 | |\n| 2016 | 265 | 415 | 150 | |\n| 2017 | 260 | 400 | 140 | |\n| 2018 | 290 | 450 | 160 | |\n| 2019 | 340 | 500 | 160 | |\n| 2020 | 300 | 430 | 130 | |\n| 2021 | 330 | 475 | 145 | |\n| 2022 | 410 | 600 | 190 | |\n| 2023 | 420 | 615 | 185 | |\n| 2024 | 355 | 525 | 160 | |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/6f0fc1889e50c92875530c5c4b5ae14a.png", "anno": "### 图49. Australian beef and veal export volume and value\n#### Source: DAWE (volume), IHS Markit (value)\n\n| | Volume-‘000 tonnes swt | Value (RHS)-billion A$ |\n| --- | --- | --- |\n| 2000 | 900 | 3.5 |\n| 2001 | 950 | 4.4 |\n| 2002 | 920 | 4.1 |\n| 2003 | 840 | 3.6 |\n| 2004 | 910 | 4.6 |\n| 2005 | 905 | 4.7 |\n| 2006 | 955 | 4.8 |\n| 2007 | 945 | 4.5 |\n| 2008 | 960 | 4.9 |\n| 2009 | 930 | 4.3 |\n| 2010 | 925 | 4.4 |\n| 2011 | 955 | 4.6 |\n| 2012 | 970 | 4.7 |\n| 2013 | 1110 | 5.5 |\n| 2014 | 1305 | 7.5 |\n| 2015 | 1305 | 9.3 |\n| 2016 | 1030 | 7.3 |\n| 2017 | 1025 | 7.4 |\n| 2018 | 1145 | 8.6 |\n| 2019 | 1250 | 10.7 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/799ccc7154ee62390e6a76e89246d552.png", "anno": "### Fig. 4: (US CPI inflation + budget deficit) / unemployment rate\n\n| | (CPI+Budget deficit)/Unemployment rate, rhs-% points | 10y nominal UST yield, lhs-% | 10y real UST yield, lhs-% |\n| --- | --- | --- | --- |\n| 1960 | 0.25 | 4.1 | 2.7 |\n| 1961 | 0.25 | 3.9 | 2.8 |\n| 1962 | 0.43 | 4.0 | 2.8 |\n| 1963 | 0.36 | 4.0 | 2.8 |\n| 1964 | 0.41 | 4.2 | 2.9 |\n| 1965 | 0.40 | 4.3 | 2.7 |\n| 1966 | 0.93 | 4.9 | 1.9 |\n| 1967 | 1.00 | 5.1 | 2.3 |\n| 1968 | 1.99 | 5.7 | 1.4 |\n| 1969 | 1.48 | 6.6 | 1.2 |\n| 1970 | 1.23 | 7.3 | 1.5 |\n| 1971 | 1.07 | 6.2 | 1.8 |\n| 1972 | 0.91 | 6.2 | 2.9 |\n| 1973 | 1.50 | 6.8 | 0.7 |\n| 1974 | 2.03 | 7.6 | -3.2 |\n| 1975 | 1.47 | 8.0 | -1.3 |\n| 1976 | 1.28 | 7.6 | 1.7 |\n| 1977 | 1.28 | 7.5 | 0.9 |\n| 1978 | 1.69 | 8.4 | 0.7 |\n| 1979 | 2.21 | 9.5 | -1.6 |\n| 1980 | 2.27 | 11.5 | -2.1 |\n| 1981 | 1.69 | 13.9 | 3.5 |\n| 1982 | 1.03 | 13.0 | 6.6 |\n| 1983 | 0.94 | 11.2 | 7.8 |\n| 1984 | 1.20 | 12.4 | 8.1 |\n| 1985 | 1.19 | 10.6 | 7.1 |\n| 1986 | 1.00 | 7.8 | 5.8 |\n| 1987 | 1.10 | 8.4 | 4.8 |\n| 1988 | 1.28 | 8.9 | 4.8 |\n| 1989 | 1.43 | 8.6 | 3.7 |\n| 1990 | 1.64 | 8.5 | 3.2 |\n| 1991 | 1.27 | 7.8 | 3.6 |\n| 1992 | 1.01 | 7.0 | 4.0 |\n| 1993 | 1.01 | 6.0 | 3.0 |\n| 1994 | 0.88 | 7.1 | 4.4 |\n| 1995 | 0.90 | 6.6 | 3.8 |\n| 1996 | 0.81 | 6.4 | 3.5 |\n| 1997 | 0.55 | 6.4 | 4.0 |\n| 1998 | 0.17 | 5.3 | 3.7 |\n| 1999 | 0.21 | 5.7 | 3.4 |\n| 2000 | 0.24 | 6.0 | 2.7 |\n| 2001 | 0.35 | 5.1 | 2.2 |\n| 2002 | 0.55 | 4.6 | 3.0 |\n| 2003 | 0.93 | 4.0 | 1.7 |\n| 2004 | 1.10 | 4.3 | 1.6 |\n| 2005 | 1.13 | 4.3 | 0.9 |\n| 2006 | 1.12 | 4.8 | 1.6 |\n| 2007 | 0.88 | 4.6 | 1.7 |\n| 2008 | 1.20 | 3.7 | 0.0 |\n| 2009 | 1.01 | 3.3 | 3.6 |\n| 2010 | 1.08 | 3.2 | 1.5 |\n| 2011 | 1.27 | 2.7 | -0.4 |\n| 2012 | 1.11 | 1.8 | -0.3 |\n| 2013 | 0.75 | 2.3 | 0.8 |\n| 2014 | 0.70 | 2.5 | 0.9 |\n| 2015 | 0.48 | 2.1 | 1.9 |\n| 2016 | 0.86 | 1.8 | 0.6 |\n| 2017 | 1.28 | 2.3 | 0.2 |\n| 2018 | 1.66 | 2.9 | 0.5 |\n| 2019 | 1.75 | 2.1 | 0.3 |\n| 2020 | 1.98 | 0.9 | -0.4 |\n| 2021 | 3.15 | 1.5 | -3.3 |\n| 2022 | 3.64 | 2.9 | -4.0 |\n| 2023 | 2.86 | 3.9 | -0.1 |\n| 2024 | 2.41 | 4.2 | 1.2 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/beedb704c3fa6e2e455146fc14fd2944.png", "anno": "### Foreigners have sold US stocks for 5 straight months, with 12-month total in May of minus $181.1bn\n#### hedgopia.com\n#### Source:Treasury,Yahoo\n| | 12-month rolling total of net foreign purchases of US equities ($bn) | S&P 500 Large Cap Index |\n| --- | --- | --- |\n| Jul-98 | 47 | 1240 |\n| Jul-01 | 110 | 1250 |\n| Jul-04 | 20 | 1250 |\n| Jul-07 | 215 | 1550 |\n| Jul-10 | 120 | 1245 |\n| Jul-13 | 40 | 1700 |\n| Jul-16 | -130 | 2040 |\n| Jul-19 | 150 | 2780 |\n| Jul-22 | -95 | 4600 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/00470be4131adfae3c0f260070a25e53.png", "anno": "柱状图1(0,0),(0,0)\n| | Customer deposits | Customer loans | LD ratio |\n| --- | --- | --- | --- |\n| 31/12/08 | 2400 | 2300 | 96 |\n| 31/1/09 | 2390 | 2250 | 95 |\n| 28/2/09 | 2300 | 2200 | 96.1 |\n| 31/3/09 | 2395 | 2150 | 90 |\n| 30/4/09 | 2470 | 2180 | 87.2 |\n| 28/5/09 | 2485 | 2120 | 86 |\n| 30/6/09 | 2500 | 2170 | 86.5 |\n| 31/7/09 | 2510 | 2170 | 86 |\n| 30/8/09 | 2510 | 2170 | 85.8 |\n| 30/9/09 | 2585 | 2170 | 84 |\n| 31/10/09 | 2600 | 2150 | 82.4 |\n| 30/11/09 | 2620 | 2140 | 81.5 |\n| 31/12/09 | 2650 | 2110 | 80.2 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/c147c17c102e0567c3ef81fc7b7abb4c.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n### Figure 16: China's passively managed funds' A-share holdings surpassed those of actively managed equity funds for the first time in 2024\n\n| | Passively managed equity funds AUM (RMB 100mn) | Actively managed equity funds AUM (RMB 100mn) | Passively managed equity funds A-share holdings as % of total equity funds (RHS) |\n| --- | --- | --- | --- |\n| 2010 | 2,000 | 15,000 | 14% |\n| 2011 | 1,900 | 10,500 | 18% |\n| 2012 | 2,200 | 10,500 | 22% |\n| 2013 | 2,000 | 10,400 | 19% |\n| 2014 | 3,800 | 10,600 | 27% |\n| 2015 | 4,000 | 14,000 | 23% |\n| 2016 | 3,700 | 12,000 | 25% |\n| 2017 | 3,200 | 11,100 | 21% |\n| 2018 | 4,000 | 10,000 | 31% |\n| 2019 | 6,000 | 17,400 | 29% |\n| 2020 | 9,500 | 40,000 | 20% |\n| 2021 | 12,000 | 49,000 | 21% |\n| 2022 | 13,000 | 39,500 | 25% |\n| 2023 | 17,000 | 33,000 | 34% |\n| 2024 | 30,000 | 27,500 | 53% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/c356014cfe5496cc27c61d317866e867.png", "anno": "### 数眠来源：联合国统计司\n| | GDP-Trillion USD | Growth |\n| --- | --- | --- |\n| 1987 | 18 | 3.7% |\n| 1988 | 20 | 4.3% |\n| 1989 | 21 | 3.9% |\n| 1990 | 23 | 2.9% |\n| 1991 | 24 | 1.1% |\n| 1992 | 26 | 1.8% |\n| 1993 | 27 | 1.5% |\n| 1994 | 28 | 3.0% |\n| 1995 | 31 | 3.1% |\n| 1996 | 32 | 3.5% |\n| 1997 | 32 | 3.8% |\n| 1998 | 32 | 2.5% |\n| 1999 | 33 | 3.3% |\n| 2000 | 34 | 4.2% |\n| 2001 | 34 | 2.0% |\n| 2002 | 35 | 2.2% |\n| 2003 | 39 | 3.0% |\n| 2004 | 44 | 4.2% |\n| 2005 | 48 | 3.9% |\n| 2006 | 52 | 4.2% |\n| 2007 | 58 | 4.1% |\n| 2008 | 64 | 1.8% |\n| 2009 | 60 | -1.8% |\n| 2010 | 66 | 4.1% |\n| 2011 | 74 | 3.3% |\n| 2012 | 75 | 2.4% |\n| 2013 | 77 | 2.5% |\n| 2014 | 79 | 2.7% |\n| 2015 | 75 | 2.6% |\n| 2016 | 76 | 2.4% |\n| 2017 | 80 | 3.2% |\n| 2018 | 85 | 3.1% |\n| 2019 | 87 | 2.5% |\n| 2020 | 84 | -3.6% |\n| 2021 | 94 | 5.9% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/26b0cc25f13124ca8530ba1f8036058e.png", "anno": "### Mac Enrollments & Support Tickets 2015-2018\n| Month | Macs Deployed | Support Tickets as a % of Mac Population at a Midpoint of Each Month |\n| --- | --- | --- |\n| Jun 15 | 10k | 7.8% |\n| Jul 15 | 16k | 5.4% |\n| Aug 15 | 23k | 5.3% |\n| Sep 15 | 27k | 4.8% |\n| Ocr 15 | 34k | 4.1% |\n| Nov 15 | 44k | 4.3% |\n| Dec 15 | 49k | 3.2% |\n| Jan 16 | 53k | 3.8% |\n| Feb 16 | 60k | 2.9% |\n| Mar 16 | 64k | 4.1% |\n| Apr 16 | 68k | 4.3% |\n| May 16 | 73k | 4.5% |\n| Jun 16 | 78k | 4.1% |\n| Jul 16 | 83k | 3.9% |\n| Aug 16 | 85k | 3.7% |\n| Sep 16 | 90k | 3.3% |\n| Oct 16 | 93k | 4.4% |\n| Nov 16 | 95k | 4.4% |\n| Dec 16 | 98k | 4.3% |\n| Jan 17 | 102k | 4.4% |\n| Feb 17 | 108k | 3.5% |\n| Mar 17 | 102k | 3.6% |\n| Apr 17 | 102k | 3.4% |\n| May 17 | 105k | 3.8% |\n| Jun 17 | 108k | 3.9% |\n| Jul 17 | 109k | 3.8% |\n| Aug 17 | 110k | 3.2% |\n| Sep 17 | 111k | 3.6% |\n| Oct 17 | 115k | 3.2% |\n| Nov 17 | 117k | 1.1% |\n| Dec 17 | 120k | 4.4% |\n| Jan 18 | 120k | 4.4% |\n| Feb 18 | 120k | 3.4% |\n| Mar 18 | 122k | 3.5% |\n| Apr 18 | 122k | 3.6% |\n| May 18 | 125k | 3.7% |\n| Jun 18 | 127k | 3.4% |\n| Jul 18 | 130k | 3.2% |\n| Aug 18 | 130k | 2.9% |\n| Sep 18 | 134k | |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a267c0f515114dd1da302fa8a117d91b.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### Expenditure on recruitment and training, and numbers of units produced\n\n| Year | Recruitment expenditure (%) | Training expenditure (%) | Units produced (000s) |\n| --- | --- | --- | --- |\n| A | 8.0 | 3.8 | 750 |\n| B | 7.8 | 3.0 | 760 |\n| C | 4.0 | 1.8 | 600 |\n| D | 4.5 | 2.0 | 750 |\n| E | 4.5 | 2.0 | 550 |\n| F | 6.0 | 4.0 | 600 |\n| G | 8.0 | 7.0 | 1000 |\n| H | 8.5 | 8.0 | 650 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a6ad3defcd3e5a7a46cb72604a31ea45.png", "anno": "### Premium/Discount On Offer\n\n| | Median Sales Price | Pct. of Orig. Price |\n| --- | --- | --- |\n| Jan 2020 | $960,000 | 97.10% |\n| Feb | $890,000 | 98.70% |\n| Mar | $960,000 | 99.00% |\n| Apr | $965,000 | 98.70% |\n| May | $940,000 | 96.70% |\n| Jun | $960,000 | 98.00% |\n| Jul | $940,000 | 98.50% |\n| Aug | $990,000 | 98.80% |\n| Sep | $1,000,000 | 99.30% |\n| Oct | $1,000,000 | 99.00% |\n| Nov | $1,050,000 | 99.50% |\n| Dec | $1,130,000 | 100.00% |\n| Jan 2021 | $1,140,000 | 100.00% |\n| Feb | $1,275,000 | 104.5.00% |\n| Mar | $1,280,000 | 105.30% |\n| Apr | $1,290,000 | 104.30% |\n| May | $1,300,000 | 102.50% |\n| Jun | $1,270,000 | 100.00% |\n| Jul | $1,255,000 | 98.90% |\n| Aug | $1,300,000 | 100.00% |\n| Sep | $1,340,000 | 103.50% |\n| Oct | $1,430,000 | 106.30% |\n| Nov | $1,520,000 | 104.00% |\n| Dec | $1,630,000 | 101.00% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/d9eee12114ef78e5ad1f5a1b6c883cde.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### Figure 7.1. TV exports in the international marketplace: percentage share of scheduled imported format time and number of titles by exporters to the market, 2003. Source: Television Research Partnership, \"Rights of Passage: British Television in the Global Market,\" UK Trade and Inve 2005, p. 17, figure 10.\n| | Hours | Titles |\n| --- | --- | --- |\n| UK | 45% | 50% |\n| USA | 20% | 19% |\n| Netherlands | 15% | 11% |\n| Argentina | 7% | 2% |\n| France | 5% | 5% |\n| Spain | 3% | 1% |\n| Australia | 2% | 1% |\n| Other | 3% | 13% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/86cb6b7975512867c1b8e113e6eae1fe.png", "anno": "### Fig.11 Permits and completions in t+1 (years refer to the time of completions).\n#### Source: Federal Statistical Office (2015a, b)\n\n| Year | Total completions (in '000) | Dwellings in single-family and two-family houses (in '000) | Share of apartment blocks (incl. residential homes) in total completions |\n| --- | --- | --- | --- |\n| 1991 | 330 | 0 | |\n| 1992 | 390 | 0 | |\n| 1993 | 290 | 165 | 49% |\n| 1994 | 360 | 215 | 50% |\n| 1995 | 390 | 210 | 52% |\n| 1996 | 370 | 190 | 52.5% |\n| 1997 | 365 | 215 | 49.5% |\n| 1998 | 275 | 225 | 42% |\n| 1999 | 230 | 240 | 35.5% |\n| 2000 | 185 | 235 | 32.5% |\n| 2001 | 135 | 190 | 31% |\n| 2002 | 110 | 180 | 28% |\n| 2003 | 100 | 170 | 26.5% |\n| 2004 | 95 | 185 | 25.5% |\n| 2005 | 85 | 160 | 26% |\n| 2006 | 95 | 155 | 28.5% |\n| 2007 | 85 | 130 | 28.9% |\n| 2008 | 80 | 100 | 31.5% |\n| 2009 | 75 | 85 | 32.5% |\n| 2010 | 70 | 90 | 33.5% |\n| 2011 | 90 | 95 | 33.5% |\n| 2012 | 100 | 100 | 36% |\n| 2013 | 205 | 105 | 37% |\n| 2014 | 120 | 130 | 37.5% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9bed27a1cc47cd529e45e778ce90e4a6.png", "anno": "### Global Tilapia Aquaculture Production\n#### US import prices frozen fillet\n\n| | US import prices frozen fillet-1000 METRIC TONNES | REAL PRICE (USD/KG) |\n| --- | --- | --- |\n| 1990 | 379 | |\n| 1991 | 398 | |\n| 1992 | 485 | 5.4 |\n| 1993 | 548 | 5.9 |\n| 1994 | 563 | 4.5 |\n| 1995 | 754 | 6.5 |\n| 1996 | 811 | 6.6 |\n| 1997 | 898 | 6.8 |\n| 1998 | 897 | 6.4 |\n| 1999 | 1057 | 6.3 |\n| 2000 | 1130 | 6.2 |\n| 2001 | 1302 | 5.6 |\n| 2002 | 1417 | 5.5 |\n| 2003 | 1,587 | 4.7 |\n| 2004 | 1,735 | 4.1 |\n| 2005 | 1,992 | 4.0 |\n| 2006 | 2,265 | 3.9 |\n| 2007 | 2,554 | 3.7 |\n| 2008 | 2,826 | 5.0 |\n| 2009 | 3,109 | 4.3 |\n| 2010 | 3,541 | 4.5 |\n| 2011 | 3,997 | 5.0 |\n| 2012 | 4,564 | 4.5 |\n| 2013 | 4,886 | 4.8 |\n| 2014 | 5,308 | 5.0 |\n| 2015 | 5,339 | 4.3 |\n| 2016 | 5,550 | 4.0 |\n| 2017 | 5,798 | |\n| 2018 | 5,977 | |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ee50cc5bc7907c1ab11593f7dcc5d11a.png", "anno": "### Figure 1. Total numbers of cases of DS according to pregnancy outcome\n\n| | Termination-Number | SB & NND-Number | live birth-Number | VIC births-Number |\n| --- | --- | --- | --- | --- | --- |\n| 1986 | 20 | 4 | 89 | 61054 |\n| 1987 | 17 | 7 | 64 | 61252 |\n| 1988 | 23 | 3 | 74 | 63303 |\n| 1989 | 27 | 8 | 74 | 63894 |\n| 1990 | 28 | 6 | 80 | 66881 |\n| 1991 | 39 | 5 | 73 | 65311 |\n| 1992 | 45 | 9 | 70 | 66192 |\n| 1993 | 60 | 5 | 63 | 64221 |\n| 1994 | 58 | 6 | 64 | 64675 |\n| 1995 | 34 | 3 | 73 | 63111 |\n| 1996 | 64 | 3 | 45 | 62932 |\n| 1997 | 46 | 3 | 60 | 61872 |\n| 1998 | 51 | 5 | 43 | 61786 |\n| 1999 | 63 | 1 | 54 | 62666 |\n| 2000 | 50 | 1 | 59 | 62258 |\n| 2001 | 52 | 3 | 63 | 61976 |\n| 2002 | 74 | 4 | 53 | 63325 |\n| 2003 | 82 | 1 | 43 | 63570 |\n| 2004 | 75 | 1 | 51 | 63399 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/526c2087345d131456e8a048f9795f30.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n| | Video Game Sales-Video Game Sales (per 100,000) | Violent Crime-Violent Crime (per 100,000) |\n| --- | --- | --- |\n| 1978 | S100000 | 250 |\n| 1978 | S200000 | 268 |\n| 1980 | S400000 | 280 |\n| 1981 | S700000 | 275 |\n| 1982 | S1100000 | 275 |\n| 1983 | S1100000 | 265 |\n| 1984 | S700000 | 275 |\n| 1985 | S300000 | 290 |\n| 1986 | S100000 | 337 |\n| 1987 | S300000 | 350 |\n| 1988 | S900000 | 362 |\n| 1989 | S1300000 | 400 |\n| 1990 | S1600000 | 420 |\n| 1991 | S1300000 | 435 |\n| 1992 | S1800000 | 440 |\n| 1993 | S1900000 | 425 |\n| 1994 | S2000000 | 420 |\n| 1995 | S1400000 | 400 |\n| 1996 | S1850000 | 380 |\n| 1997 | S2200000 | 375 |\n| 1998 | S3000000 | 350 |\n| 1999 | S3100000 | 325 |\n| 2000 | S3000000 | 320 |\n| 2001 | S3600000 | 315 |\n| 2002 | S3900000 | 300 |\n| 2003 | S3700000 | 290 |\n| 2004 | S3600000 | 280 |\n| 2005 | S3700000 | 285 |\n| 2006 | S4000000 | 290 |\n| 2007 | S6000000 | 280 |\n| 2008 | S7400000 | 275 |\n| 2009 | S7000000 | 270 |\n| 2010 | S6400000 | 250 |\n| 2011 | S5900000 | 235 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a3c924920e2bd89357e5a06e66886486.png", "anno": "### DIF Reserve Ratio and Balance\n#### Source: FDIC.\n#### Note: The reserve ratio is calculated as the ratio of the DIF to insured deposits and is calculated as of quarter end.\n| | DIF Balance (S125.3B) - $Billions | DIF Reserve Ratio (1.17) - Percent |\n| --- | --- | --- |\n| 2008 | 52 | 1.2 |\n| 2009 | 12 | 0.22 |\n| 2010 | -22 | -0.39 |\n| 2011 | 0 | -0.03 |\n| 2012 | 14 | 0.22 |\n| 2013 | 17 | 0.60 |\n| 2014 | 48 | 0.80 |\n| 2015 | 65 | 1.05 |\n| 2016 | 77 | 1.15 |\n| 2017 | 83 | 1.20 |\n| 2018 | 97 | 1.31 |\n| 2019 | 105 | 1.35 |\n| 2020 | 117 | 1.40 |\n| 2021 | 121 | 1.25 |\n| 2022 | 123 | 1.21 |\n| 2023 | 118 | 1.10 |\n| 2024 | 125 | 1.17 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/7c5aab8adbb0f89a583d73d35bb56014.png", "anno": "### Figure 3: Land Revenue and Ratio to Local Tax Revenue\n\n| | Land Revenue (billion yuan, lhs) | Ratio to Local Tax Revenue (%, rhs) |\n| --- | --- | --- |\n| 1999 | 500 | 11 |\n| 2000 | 600 | 11 |\n| 2001 | 1200 | 16 |\n| 2002 | 2200 | 27 |\n| 2003 | 5200 | 54 |\n| 2004 | 6200 | 53 |\n| 2005 | 5800 | 38 |\n| 2006 | 8000 | 43 |\n| 2007 | 12100 | 51 |\n| 2008 | 10100 | 35 |\n| 2009 | 17100 | 52 |\n| 2010 | 27800 | 67 |\n| 2011 | 32800 | 61 |\n| 2012 | 28500 | 45 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1fafe06c9c754e1839a0444ab6d673c6.png", "anno": "### Proportion of Australia's population born overseas\n| Year | % | population born-Millions | |\n| --- | --- | --- | --- |\n| 1891 | 32.60 | 1.64 | 0.82 |\n| 1892 | 30.60 | 1.73 | 0.83 |\n| 1893 | 29.60 | 1.82 | 0.83 |\n| 1894 | 28.70 | 1.90 | 0.83 |\n| 1895 | 27.80 | 1.99 | 0.84 |\n| 1896 | 25.44 | 2.07 | 0.84 |\n| 1897 | 24.80 | 2.16 | 0.84 |\n| 1898 | 24.33 | 2.24 | 0.85 |\n| 1899 | 23.67 | 2.33 | 0.85 |\n| 1900 | 23.11 | 2.41 | 0.85 |\n| 1901 | 22.44 | 2.50 | 0.86 |\n| 1902 | 22.00 | 2.59 | 0.86 |\n| 1903 | 21.33 | 2.67 | 0.86 |\n| 1904 | 20.89 | 2.76 | 0.87 |\n| 1905 | 20.20 | 2.84 | 0.87 |\n| 1906 | 19.56 | 2.93 | 0.87 |\n| 1907 | 18.89 | 3.01 | 0.88 |\n| 1908 | 18.33 | 3.10 | 0.88 |\n| 1909 | 18.00 | 3.18 | 0.88 |\n| 1910 | 17.44 | 3.27 | 0.89 |\n| 1911 | 17.33 | 3.36 | 0.89 |\n| 1912 | 17.13 | 3.44 | 0.89 |\n| 1913 | 16.89 | 3.53 | 0.90 |\n| 1914 | 16.67 | 3.61 | 0.90 |\n| 1915 | 16.55 | 3.70 | 0.90 |\n| 1916 | 16.44 | 3.78 | 0.91 |\n| 1917 | 16.22 | 3.87 | 0.91 |\n| 1918 | 16.11 | 3.96 | 0.91 |\n| 1919 | 16.00 | 4.04 | 0.92 |\n| 1920 | 15.78 | 4.13 | 0.92 |\n| 1921 | 15.78 | 4.21 | 0.92 |\n| 1922 | 15.67 | 4.30 | 0.93 |\n| 1923 | 15.33 | 4.38 | 0.93 |\n| 1924 | 15.10 | 4.47 | 0.93 |\n| 1925 | 14.99 | 4.55 | 0.94 |\n| 1926 | 14.67 | 4.64 | 0.94 |\n| 1927 | 14.44 | 4.73 | 0.95 |\n| 1928 | 14.40 | 4.81 | 0.95 |\n| 1929 | 14.33 | 4.90 | 0.95 |\n| 1930 | 14.22 | 4.98 | 0.96 |\n| 1931 | 13.90 | 5.07 | 0.96 |\n| 1932 | 13.89 | 5.15 | 0.96 |\n| 1933 | 13.67 | 5.24 | 0.97 |\n| 1934 | 13.44 | 5.33 | 0.97 |\n| 1935 | 13.22 | 5.41 | 0.97 |\n| 1936 | 13.00 | 5.50 | 0.98 |\n| 1937 | 12.67 | 5.58 | 0.98 |\n| 1938 | 12.56 | 5.67 | 0.98 |\n| 1939 | 12.11 | 5.75 | 0.99 |\n| 1940 | 12.00 | 5.84 | 0.99 |\n| 1941 | 11.55 | 5.92 | 0.99 |\n| 1942 | 11.33 | 6.01 | 1.00 |\n| 1943 | 11.11 | 6.10 | 1.00 |\n| 1944 | 10.89 | 6.18 | 1.00 |\n| 1945 | 10.56 | 6.27 | 1.01 |\n| 1946 | 10.33 | 6.35 | 1.01 |\n| 1947 | 10.00 | 6.44 | 1.01 |\n| 1948 | 10.33 | 6.52 | 1.02 |\n| 1949 | 11.22 | 6.61 | 1.02 |\n| 1950 | 11.67 | 6.70 | 1.02 |\n| 1951 | 12.22 | 6.78 | 1.03 |\n| 1952 | 12.98 | 6.98 | 1.14 |\n| 1953 | 13.62 | 7.12 | 1.20 |\n| 1954 | 14.47 | 7.26 | 1.26 |\n| 1955 | 14.89 | 7.41 | 1.32 |\n| 1956 | 15.00 | 7.55 | 1.38 |\n| 1957 | 15.43 | 7.69 | 1.44 |\n| 1958 | 15.85 | 7.83 | 1.50 |\n| 1959 | 16.06 | 7.98 | 1.56 |\n| 1960 | 16.38 | 8.12 | 1.62 |\n| 1961 | 16.91 | 8.26 | 1.70 |\n| 1962 | 17.35 | 8.40 | 1.74 |\n| 1963 | 17.55 | 8.55 | 1.80 |\n| 1964 | 17.98 | 8.69 | 1.86 |\n| 1965 | 18.19 | 8.83 | 1.92 |\n| 1966 | 18.51 | 8.97 | 1.98 |\n| 1967 | 18.83 | 9.11 | 2.04 |\n| 1968 | 19.04 | 9.26 | 2.11 |\n| 1969 | 19.47 | 9.40 | 2.17 |\n| 1970 | 19.89 | 9.54 | 2.23 |\n| 1971 | 20.53 | 9.68 | 2.65 |\n| 1972 | 20.21 | 9.83 | 2.35 |\n| 1973 | 20.11 | 9.97 | 2.41 |\n| 1974 | 20.00 | 10.11 | 2.47 |\n| 1975 | 20.00 | 10.25 | 2.53 |\n| 1976 | 20.00 | 10.40 | 2.59 |\n| 1977 | 20.00 | 10.54 | 2.65 |\n| 1978 | 20.21 | 10.68 | 2.71 |\n| 1979 | 20.31 | 10.82 | 2.77 |\n| 1980 | 20.43 | 10.96 | 2.83 |\n| 1981 | 20.64 | 11.11 | 2.89 |\n| 1982 | 20.64 | 11.25 | 2.95 |\n| 1983 | 20.64 | 11.39 | 3.01 |\n| 1984 | 20.74 | 11.53 | 3.07 |\n| 1985 | 20.85 | 11.68 | 3.13 |\n| 1986 | 20.96 | 11.82 | 3.19 |\n| 1987 | 31.06 | 11.96 | 3.26 |\n| 1988 | 31.49 | 12.10 | 3.32 |\n| 1989 | 21.70 | 12.25 | 3.38 |\n| 1990 | 22.02 | 12.39 | 3.44 |\n| 1991 | 22.45 | 12.53 | 3.50 |\n| 1992 | 22.98 | 12.84 | 3.90 |\n| 1993 | 23.19 | 12.95 | 3.90 |\n| 1994 | 23.09 | 13.11 | 3.94 |\n| 1995 | 23.19 | 13.26 | 4.01 |\n| 1996 | 23.40 | 13.42 | 4.22 |\n| 1997 | 23.40 | 13.58 | 4.36 |\n| 1998 | 23.40 | 13.74 | 4.51 |\n| 1999 | 23.30 | 13.90 | 4.65 |\n| 2000 | 23.19 | 14.06 | 4.79 |\n| 2001 | 23.19 | 14.22 | 4.93 |\n| 2002 | 23.40 | 14.38 | 5.07 |\n| 2003 | 23.62 | 14.54 | 5.21 |\n| 2004 | 23.83 | 14.70 | 5.35 |\n| 2005 | 24.57 | 14.86 | 5.49 |\n| 2006 | 25.00 | 15.02 | 5.63 |\n| 2007 | 25.10 | 15.18 | 5.77 |\n| 2008 | 25.78 | 15.34 | 5.91 |\n| 2009 | 26.37 | 15.50 | 6.06 |\n| 2010 | 26.67 | 15.66 | 6.20 |\n| 2011 | 26.96 | 15.82 | 6.34 |\n| 2012 | 27.35 | 16.13 | 6.47 |\n| 2013 | 27.55 | 16.29 | 6.67 |\n| 2014 | 28.14 | 16.46 | 6.87 |\n| 2015 | 28.33 | 16.62 | 7.06 |\n| 2016 | 28.63 | 16.78 | 7.26 |\n| 2017 | 29.12 | 16.94 | 7.46 |\n| 2018 | 29.41 | 17.11 | 7.65 |\n| 2019 | 29.71 | 17.27 | 7.85 |\n| 2020 | 30.00 | 17.43 | 8.05 |\n| 2021 | 28.50 | 17.59 | 8.05 |\n| 2022 | 29.00 | 17.76 | 8.25 |\n| 2023 | 30.00 | 17.92 | 8.64 |\n| 2024 | 31.49 | 18.08 | 8.84 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/beaaf65859327b7bcad774e8e857ada1.png", "anno": "| | Submissions-Number of Papers | Accepted-Number of Papers | Acceptance Rate |\n| --- | --- | --- | --- |\n| Metrics | 20 | 8 | 34% |\n| Secure and verifiable... | 84 | 28 | 32% |\n| Privacy policies | 20 | 6 | 30% |\n| Applied cryptography | 186 | 49 | 27% |\n| Protocols | 134 | 34 | 26% |\n| | 4 | 3 | 25% |\n| Hardware and architecture... | 82 | 18 | 24% |\n| Information flow | 36 | 8 | 22% |\n| Language-based security | 38 | 8 | 21% |\n| User studies | 30 | 6 | 20% |\n| Software security | 162 | 31 | 19% |\n| Web security and privacy | 95 | 16 | 18% |\n| Malware | 59 | 7 | 15% |\n| Mobile security and privacy | 105 | 14 | 15% |\n| Privacy-preserving systems | 106 | 15 | 15% |\n| Authentication and... | 90 | 15 | 14% |\n| Machine learning | 98 | 13 | 15% |\n| Access control | 37 | 4 | 14% |\n| Intrusion detection | 44 | 5 | 14% |\n| Forensics | 23 | 3 | 14% |\n| Network security | 120 | 15 | 13% |\n| Distributed systems security | 76 | 10 | 13% |\n| Anonymity | 60 | 7 | 12% |\n| Censorship-resistance | 12 | 2 | 10% |\n| Cloud security | 90 | 9 | 10% |\n| Cyber-physical systems... | 80 | 7 | 9% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1c3a8e160374df4b108538869f419a3e.png", "anno": "### Figure 3.1 The Real Value of Deposit Insurance Has Fluctuated Over Time and Decreased in Recent Years\n#### Sources: FDIC and Bureau of Labor Statistics (Haver Analytics).\n\n#### Note: The FDIC implemented the Temporary Account Guarantee program in 2008, which rais\n| | Nominal Insurance Coverage-Dollars | Insurance Coverage in 2008 Dollars-Dollars |\n| --- | --- | --- |\n| 1934 | 5,000 | 77,000 |\n| 1941 | 5,000 | 72,000 |\n| 1948 | 5,000 | 49,000 |\n| 1955 | 10,000 | 77,000 |\n| 1962 | 10,000 | 71,000 |\n| 1969 | 15,000 | 100,000 |\n| 1976 | 40,000 | 159,000 |\n| 1983 | 100,000| 220,000 |\n| 1990 | 100,000| 170,000 |\n| 1997 | 100,000| 140,000 |\n| 2004 | 100,000| 117,000 |\n| 2011 | 250,000| 250,000 |\n| 2018 | 250,000| 220,000 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a38fcf6b20bdba07e964a510d8baddf9.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n### Ratio of unspent PE cash to value locked in unsold companies\n\n| | |\n| --- | --- |\n| 2000 | 74% |\n| '01 | 82% |\n| '02 | 82% |\n| '03 | 70% |\n| '04 | 62% |\n| '05 | 65% |\n| '06 | 81% |\n| '07 | 71% |\n| '08 | 90% |\n| '09 | 75% |\n| '10 | 50% |\n| '11 | 41% |\n| '12 | 40% |\n| '13 | 40% |\n| '14 | 48% |\n| '15 | 49% |\n| '16 | 51% |\n| '17 | 53% |\n| '18 | 54% |\n| '19 | 59% |\n| '20 | 53% |\n| '21 | 38% |\n| '22 | 41% |\n| '23 | 37% |\n| '24 | 35% |\n\n### Number of companies firms are waiting to sell worldwide\n\n| | |\n| --- | --- |\n| 2005 | 7500 |\n| '06 | 8800 |\n| '07 | 10500 |\n| '08 | 12000 |\n| '09 | 12600 |\n| '10 | 13200 |\n| '11 | 14100 |\n| '12 | 15300 |\n| '13 | 16000 |\n| '14 | 17000 |\n| '15 | 17800 |\n| '16 | 18200 |\n| '17 | 19400 |\n| '18 | 20500 |\n| '19 | 22300 |\n| '20 | 23800 |\n| '21 | 25500 |\n| '22 | 27000 |\n| '23 | 28000 |\n| '24 | 29300 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/05c04994e416b5a30e5b18eb8c7a6561.png", "anno": "### Figure 2: Elephant population numbers in the Kruger National Park between 1972 and 2007. The line represents the three point moving average to show the trend in population increase\n\n| Year | Elephant numbers | moving average |\n| --- | --- | --- |\n| 1973 | 7700 | |\n| 1975 | 7700 | 7700 |\n| 1977 | 7400 | 7400 |\n| 1979 | 7400 | 7400 |\n| 1981 | 7400 | 7400 |\n| 1983 | 8000 | 7400 |\n| 1985 | 8000 | 8150 |\n| 1987 | 7500 | 7500 |\n| 1989 | 7200 | 7100 |\n| 1991 | 7200 | 7200 |\n| 1993 | 7400 | 7400 |\n| 1995 | 7600 | 7600 |\n| 1997 | 8200 | 7800 |\n| 1999 | 8800 | 8300 |\n| 2001 | 8300 | 8600 |\n| 2003 | 10400 | 9300 |\n| 2005 | 11300 | 11000 |\n| 2007 | 12500 | 12100 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/366f0182345bf29b2a359f7fd125eb19.png", "anno": "### Figure 5: CSI 300: Number of stocks eligible for margin financing vs margin financing balance as % of total free float market cap\n#### Source: Wind, UBS-S\n\n| | Number of stocks that are eligible for margin financing | Balance of margin financing as of total free-float market cap (RHS) |\n| --- | --- | --- |\n| 2013 | 265 | 2.3% |\n| 2014 | 268 | 5.1% |\n| 2015 | 272 | 8.5% |\n| 2016 | 262 | 5.2% |\n| 2017 | 250 | 4.3% |\n| 2018 | 248 | 4.0% |\n| 2019 | 245 | 3.7% |\n| 2020 | 280 | 3.6% |\n| 2021 | 295 | 3.8% |\n| 2022 | 290 | 3.7% |\n| 2023 | 304 | 3.6% |\n| 2024 | 305 | 3.6% |\n| 2025 | 310 | 3.9% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/eb9884f4e96272b6f14f5dc33892bb7d.png", "anno": "### A Fifth of US Corporate Debt Maturing Within 3 Years\n| | US Corporate Debt (IG + HY) Maturing by Year ($ bns) | Cumulative Percentage |\n| --- | --- | --- |\n| 2023 | 0 | 0% |\n| 2024 | 130 | 1% |\n| 2025 | 730 | 10% |\n| 2026 | 860 | 20% |\n| 2027 | 750 | 31% |\n| 2028 | 830 | 42% |\n| 2029 | 640 | 49% |\n| 2030 | 630 | 57% |\n| 2031 | 430 | 63% |\n| 2032 | 350 | 66% |\n| 2033 | 340 | 70% |\n| 2034 | 120 | 72% |\n| 2035 | 60 | 73% |\n| 2036 | 70 | 75% |\n| 2037 | 80 | 76% |\n| 2038 | 85 | 78% |\n| 2039 | 65 | 79% |\n| 2040 | 105 | 80% |\n| 2041 | 110 | 81% |\n| 2042 | 120 | 82% |\n| 2043 | 100 | 83% |\n| 2044 | 90 | 84% |\n| 2045 | 140 | 85% |\n| 2046 | 130 | 87% |\n| 2047 | 120 | 90% |\n| 2048 | 140 | 91% |\n| 2049 | 150 | 92% |\n| 2050 | 225 | 95% |\n| 2051 | 170 | 98% |\n| 2052 | 155 | 100% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/e039242c1764c7e297ce2d9fa05d627f.png", "anno": "| | RWDAWD-Volume (Millions) | FWD AWD-Volume (Millions) | RWDAWD Share of AWD-Share | FWD Share of AWD-Share |\n| --- | --- | --- | --- | --- |\n| 2000 | 6.5 | 3.1 | 67.7% | 32.3% |\n| 2001 | 5.8 | 2.7 | 68.2% | 31.8% |\n| 2002 | 6.1 | 3.2 | 67.7% | 32.3% |\n| 2003 | 6.6 | 3.9 | 62.9% | 37.1% |\n| 2004 | 6.8 | 3.4 | 66.7% | 33.3% |\n| 2005 | 7.1 | 4.4 | 61.7% | 38.3% |\n| 2006 | 7 | 4.6 | 60.3% | 39.7% |\n| 2007 | 6.9 | 5 | 58.0% | 42.0% |\n| 2008 | 5.1 | 4.8 | 51.5% | 48.5% |\n| 2009 | 3.4 | 3.8 | 47.2% | 52.8% |\n| 2010 | 4.8 | 5.4 | 47.0% | 53.0% |\n| 2011 | 5 | 5.8 | 46.2% | 53.8% |\n| 2012 | 5.4 | 5.8 | 48.2% | 51.8% |\n| 2013 | 5.3 | 6 | 47.8% | 52.2% |\n| 2014 | 5.6 | 6.5 | 46.2% | 53.8% |\n| 2015 | 5.7 | 6.6 | 46.3% | 53.7.0% |\n| 2016 | 5.8 | 7.1 | 45.0% | 55.0% |\n| 2017 | 5.7 | 7.5 | 43.1% | 56.9% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/531bbf72cd5a18a4a11fd73960dc3657.png", "anno": "### Submissions and Decisions, by Primary Topics\n| Subject Area | Orals | Highlights | Posters | Rejected or Withdrawn | Acceptance Rate |\n| --- | --- | --- | --- | --- | --- |\n| mage and video synthesis and generation | | 20 | 310 | 990 | 27% |\n| 3D from multi-view and sensors | | 20 | 200 | 625 | 27.5% |\n| Multimodal learning | | | 140 | 480 | 24.8% |\n| Humans: Face, body, pose, gesture, movement | | 10 | 140 | 450 | 25% |\n| Low-level vision | | | 100 | 450 | 18% |\n| Vision, language, and reasoning | | | 150 | 400 | 27% |\n| Recognition: Categorization, detection, retrieval | | | 90 | 392 | 19.8% |\n| Transfer / low-shot/ continual/ long-tail learning| | | 70 | 370 | 19% |\n| Datasets and evaluation | | | 105 | 325 | 27.2% |\n| Autonomous driving | | | 100 | 300 | 26% |\n| Medical and biological vision, cell microscopy | | | 70 | 330 | 18.7% |\n| Deep learning architectures and techniques| | | 50 | 310 | 13.8% |\n| Adversarial attack and defense | | | 60 | 290 | 20% |\n| Segmentation, grouping and shape analysis | | | 90 | 260 | 24.8% |\n| Vision applications and systems | | | 70 | 260 | 20.6% |\n| Video: Action and event understanding | | | 70 | 230 | 25% |\n| 3D from single images | | | 105 | 195 | 37.5% |\n| Efficient and scalable vision | | | 70 | 210 | 22% |\n| Transparency, fairness, accountability, privacy and ethics... | | | 40 | 220 | 17.5% |\n| Computer vision for robotics | | | 60 | 160 | 30% |\n| Scene analysis and understanding | | | 40 | 180 | 22% |\n| Representation learning | | | 50 | 160 | 22.4% |\n| Self-, semi-, meta- and unsupervised learning | | | 46 | 160 | 19.8% |\n| Computational imaging | | | 45 | 150 | 22.5% |\n| Video: Low-level analysis, motion, and tracking | | | 30 | 120 | 25% |\n| Vision + graphics | | | 50 | 100 | 32% |\n| Photogrammetry and remote sensing | | | 28 | 125 | 17.5% |\n| Explainable computer vision | | | 25 | 125 | 18% |\n| Event-based cameras | | | 35 | 75 | 28% |\n| Embodied vision: Active agents, simulation| | | 40 | 70 | 32.7% |\n| Computer vision for social good | | | 10 | 90 | 22% |\n| Biometrics| | | 5 | 85 | 17.3% |\n| Machine learning (other than deep learning) | | | 5 | 80 | 12.3% |\n| Document analysis and understanding | | | 10 | 60 | 23.7% |\n| Physics-based vision and shape-from-X | | | | 50 | 26.8% |\n| Optimization methods (other than deep learning) | | | | 36 | 19.2% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4b8f6b802887c0e8756cb11df21ba0a5.png", "anno": "### 山东省2005～2018年白酒产量及产量占全国比重\n\n| 年份 | 产量-产量/万千升 | 产量占全国比重-产量占全国比重/% |\n| --- | --- | --- |\n| 2005 | 67 | 18.3 |\n| 2006 | 82 | 19.5 |\n| 2007 | 84 | 16.5 |\n| 2008 | 78 | 13.1 |\n| 2009 | 81 | 11.5 |\n| 2010 | 99 | 10.8 |\n| 2011 | 102 | 9.7 |\n| 2012 | 128 | 10.8 |\n| 2013 | 136 | 10.7 |\n| 2014 | 122 | 9.5 |\n| 2015 | 117 | 8.7 |\n| 2016 | 117 | 8.4 |\n| 2017 | 111 | 9 |\n| 2018 | 43 | 4.8 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1ab849d77b382697108021d0aebde86c.png", "anno": "### Number and Assets of Banks on the \"Problem Bank List\"\n#### Source: FDIC.\n#### Note: The asset values of insured financial institutions on the problem bank list are what were on record as of the last day of the quarter.\n\n| | Assets of Problem Banks (Right Axis)-$ Billions | Number of Problem Banks (Left Axis)-Number |\n| --- | --- | --- |\n| 2008 | 40 | 80 |\n| 2009 | 230 | 310 |\n| 2010 | 440 | 780 |\n| 2011 | 400 | 890 |\n| 2012 | 300 | 760 |\n| 2013 | 220 | 600 |\n| 2014 | 130 | 400 |\n| 2015 | 70 | 240 |\n| 2016 | 40 | 150 |\n| 2017 | 28 | 90 |\n| 2018 | 61 | 70 |\n| 2019 | 51 | 38 |\n| 2020 | 48 | 26 |\n| 2021 | 55 | 26 |\n| 2022 | 173 | 10 |\n| 2023 | 60 | 12 |\n| 2024 | 80 | 30 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/31537fbc754541dfde7be320b3b9a8fd.png", "anno": "折线图1(0,0),(0,0)\n### Global manufacturing output\n| | Official global production annual % change (right scale) | Global PMI output index (eft scale) |\n| --- | --- | --- |\n| 2007 | 55 | 5.5% |\n| 2009 | 30 | -15% |\n| 2011 | 57 | 8% |\n| 2013 | 52 | 0% |\n| 2015 | 53 | 1.5% |\n| 2017 | 53 | 2% |\n| 2019 | 51 | 0.5% |\n| 2021 | 55 | 0% |\n| 2023 | 48 | 6% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/5c7cb9d072430a6396997436471aa70d.png", "anno": "### Quarterly Change in Loan Balances\n#### Source: FDIC.\n#### Note: ASC Topics 810 and 860 resulted in the consolidation of large amounts of securitized loan balances back onto banks’ balance sheets in the first quarter of 2010. Although the amount consolidated cannot be precisely quantified, the industry would have reported a decline in loan balances for the quarter absent this change in accounting standards.\n| | Quarterly Change (Left Axis)-$ Billions | 12-Month Growth Rate (Right Axis)-Percent |\n| --- | --- | --- |\n| 2008 Q1 | 60 | 9.0 |\n| 2008 Q2 | 30 | 7.0 |\n| 2008 Q3 | -20 | 3.0 |\n| 2008 Q4 | -120 | 0.0 |\n| 2009 Q1 | -125 | -3.0 |\n| 2009 Q2 | -110 | -4.0 |\n| 2009 Q3 | -210 | -7.0 |\n| 2009 Q4 | -130 | -7.5 |\n| 2010 Q1 | 220 | -3.0 |\n| 2010 Q2 | -105 | -3.0 |\n| 2010 Q3 | -5 | 0.0 |\n| 2010 Q4 | -10 | 1.5 |\n| 2011 Q1 | -125 | -3.0 |\n| 2011 Q2 | 70 | -1.0 |\n| 2011 Q3 | 25 | -0.5 |\n| 2011 Q4 | 130 | 1.5 |\n| 2012 Q1 | -60 | 2.0 |\n| 2012 Q2 | 100 | 2.5 |\n| 2012 Q3 | 70 | 3.0 |\n| 2012 Q4 | 120 | 2.8 |\n| 2013 Q1 | -35 | 3.1 |\n| 2013 Q2 | 80 | 2.7 |\n| 2013 Q3 | 75 | 2.8 |\n| 2013 Q4 | 95 | 2.5 |\n| 2014 Q1 | 40 | 3.5 |\n| 2014 Q2 | 180 | 4.8 |\n| 2014 Q3 | 50 | 4.5 |\n| 2014 Q4 | 150 | 5 |\n| 2015 Q1 | 50 | 5.2 |\n| 2015 Q2 | 185 | 5.1 |\n| 2015 Q3 | 95 | 5.8 |\n| 2015 Q4 | 200 | 6.0 |\n| 2016 Q1 | 100 | 7.0 |\n| 2016 Q2 | 180 | 6.5 |\n| 2016 Q3 | 120 | 7.0 |\n| 2016 Q4 | 75 | 5.0 |\n| 2017 Q1 | -5 | 4.0 |\n| 2017 Q2 | 170 | 3.7 |\n| 2017 Q3 | 100 | 3.4 |\n| 2017 Q4 | 175 | 4.5 |\n| 2018 Q1 | 35 | 4.8 |\n| 2018 Q2 | 110 | 4.2 |\n| 2018 Q3 | 85 | 4.1 |\n| 2018 Q4 | 220 | 4.5 |\n| 2019 Q1 | 0 | 4.1 |\n| 2019 Q2 | 155 | 4.5 |\n| 2019 Q3 | 105 | 4.7 |\n| 2019 Q4 | 120 | 4.0 |\n| 2020 Q1 | 455 | 7.7 |\n| 2020 Q2 | 35 | 7.0 |\n| 2020 Q3 | -80 | 5.0 |\n| 2020 Q4 | -45 | 3.8 |\n| 2021 Q1 | -30 | -1.0 |\n| 2021 Q2 | 35 | -1.0 |\n| 2021 Q3 | 65 | 0.0 |\n| 2021 Q4 | 335 | 3.5 |\n| 2022 Q1 | 115 | 4.8 |\n| 2022 Q2 | 430 | 8.5 |\n| 2022 Q3 | 240 | 9.7 |\n| 2022 Q4 | 230 | 8.7 |\n| 2023 Q1 | -10 | 7.5 |\n| 2023 Q2 | 95 | 4.5 |\n| 2023 Q3 | 50 | 3.0 |\n| 2023 Q4 | 115 | 2.0 |\n| 2024 Q1 | -30 | 1.8 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/8a1f896cbc9281bcf8c16ed92cc3509d.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### Figure 7: CSI 1000: Number of stocks eligible for margin financing vs. margin financing balance as % of total free float market cap\n| | Number of stocks that are eligible for margin financing | Balance of margin financing as of total free - float market cap (RHS) |\n| --- | --- | --- |\n| Q1 2014 | 190 | 2.4% |\n| Q2 2014 | 190 | 3.4% |\n| Q3 2014 | 190 | 3.7% |\n| Q4 2014 | 190 | 3.8% |\n| Q1 2015 | 185 | 2.9% |\n| Q2 2015 | 185 | 3.1% |\n| Q3 2015 | 185 | 3.1% |\n| Q4 2015 | 185 | 3.0% |\n| Q1 2016 | 175 | 2.9% |\n| Q2 2016 | 210 | 3.1% |\n| Q3 2016 | 220 | 3.1% |\n| Q4 2016 | 220 | 3.0% |\n| Q1 2017 | 225 | 3.1% |\n| Q2 2017 | 225 | 3.3% |\n| Q3 2017 | 225 | 3.1% |\n| Q4 2017 | 225 | 3.2% |\n| Q1 2018 | 220 | 3.3% |\n| Q2 2018 | 220 | 3.2% |\n| Q3 2018 | 220 | 3.0% |\n| Q4 2018 | 220 | 3.2% |\n| Q1 2019 | 491 | 4.0% |\n| Q2 2019 | 491 | 4.4% |\n| Q3 2019 | 478 | 4.9% |\n| Q4 2019 | 478 | 4.4% |\n| Q1 2020 | 491 | 4.9% |\n| Q2 2020 | 491 | 4.9% |\n| Q3 2020 | 500 | 4.6% |\n| Q4 2020 | 504 | 4.5% |\n| Q1 2021 | 522 | 4.7% |\n| Q2 2021 | 522 | 4.7% |\n| Q3 2021 | 544 | 4.8% |\n| Q4 2021 | 544 | 4.4% |\n| Q1 2022 | 577 | 4.9% |\n| Q2 2022 | 823 | 4.9% |\n| Q3 2022 | 846 | 4.8% |\n| Q4 2022 | 838 | 4.9% |\n| Q1 2023 | 862 | 5.5% |\n| Q2 2023 | 862 | 5.9% |\n| Q3 2023 | 862 | 5.8% |\n| Q4 2023 | 862 | 6.0% |\n| Q1 2024 | 877 | 5.2% |\n| Q2 2024 | 877 | 6.8% |\n| Q3 2024 | 877 | 6.8% |\n| Q4 2024 | 877 | 6.3% |\n| Q1 2025 | 877 | 6.7% |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/fb7083ea067641f33e29421598de8a5c.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n### U.S. Housing Production\n\n| | Housing Starts-(in thousands) | Starts Per Million Population-(in millions) |\n| --- | --- | --- |\n| 1940 | 620 | 5.02 |\n| 1950 | 1950 | 13.61 |\n| 1960 | 1350 | 7.09 |\n| 1970 | 1460 | 6.55 |\n| 1980 | 1350 | 5.96 |\n| 1990 | 1300 | 5.11 |\n| 2000 | 1520 | 5.86 |\n| 2010 | 520 | 1.96 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/2a139e0fe6f158510b1a2c644cf7f603.png", "anno": "### 2017 Data: $1Billion Per Day\n#### US Total Giving, 1977-2017 (in billions of dollars)\n\n#### Source: Giving USA Foundation I Giving\n| | Inflation-adjusted dollars, 2017 = $100 | Current dollars | Inflation-adjusted dollars in recession |\n| --- | --- | --- | --- |\n| 1977 | 137 | 30 | |\n| 1978 | 139 | 38 | |\n| 1979 | 141 | 47 | |\n| 1980 | 143 | 50 | |\n| 1981 | | 54 | 147 |\n| 1982 | | 60 | 147 |\n| 1983 | | 63 | 150 |\n| 1984 | 157 | 66 | |\n| 1985 | 160 | 72 | |\n| 1986 | 177 | 88 | |\n| 1987 | 166 | 87 | |\n| 1988 | 170 | 90 | |\n| 1989 | 180 | 100 | |\n| 1990 | 170 | 102 | |\n| 1991 | | 108 | 170 |\n| 1992 | | 110 | 184 |\n| 1993 | 185 | 120 | |\n| 1994 | 186 | 122 | |\n| 1995 | 184 | 124 | |\n| 1996 | 210 | 138 | |\n| 1997 | 238 | 160 | |\n| 1998 | 255 | 170 | |\n| 1999 | 280 | 200 | |\n| 2000 | 313 | 224 | |\n| 2001 | | 226 | 310 |\n| 2002 | 300 | 226 | |\n| 2003 | 298 | 230 | |\n| 2004 | 318 | 257 | |\n| 2005 | 349 | 288 | |\n| 2006 | 340 | 294 | |\n| 2007 | | 310 | 342 |\n| 2008 | | 295 | 320 |\n| 2009 | | 271 | 290 |\n| 2010 | 325 | 312 | |\n| 2011 | 328 | 345 | |\n| 2012 | 365 | 344 | |\n| 2013 | 360 | 349 | |\n| 2014 | 380 | 369 | |\n| 2015 | 390 | 380 | |\n| 2016 | 400 | 392 | |\n| 2017 | 410.02 | 410.02 | |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/f2ca95eed461f412e377259480bc467f.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### Rural population in poverty\n\n| | (Million people) | poverty headcount ratio (% of rural population) |\n| --- | --- | --- |\n| 2012 | 98 | 10 |\n| 2013 | 80 | 8.6 |\n| 2014 | 70 | 6.9 |\n| 2015 | 55 | 5.9 |\n| 2016 | 42 | 4.5 |\n| 2017 | 30 | 3 |\n| 2018 | 20 | 2 |\n| 2019 | 4 | 0.2 |\n| 2020 | 2 | 0 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/84ad343b7e131fc8bfd94b3c201c6302.png", "anno": "### Thailand Nile Tilapia Exports, 2009-2023\n#### Source: Department of Fisheries, Thailand\n\n| | Quantity (Ton) | Value (Thousand THB) |\n| --- | --- | --- |\n| 2009 | 12,400 | 740 |\n| 2010 | 12,800 | 620 |\n| 2011 | 11,800 | 720 |\n| 2012 | 9,600 | 660 |\n| 2013 | 8,200 | 580 |\n| 2014 | 15,600 | 1,060 |\n| 2015 | 10,000 | 700 |\n| 2016 | 8,000 | 580 |\n| 2017 | 6,000 | 340 |\n| 2018 | 11,000 | 400 |\n| 2019 | 9,800 | 330 |\n| 2020 | 5,600 | 200 |\n| 2021 | 7,900 | 260 |\n| 2022 | 7,500 | 310 |\n| 2023 | 6,400 | 240 |", "chart_type": "组合图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/13a8af4e5de26d67f043341f8ba5dfff.png", "anno": "柱状图与折线图1(0,0),(0,0)\n| | | |\n| --- | --- | --- |\n| 12 | 70 | -9 |\n| 1 | 40 | -8 |\n| 2 | 60 | -4 |\n| 3 | 80 | 6 |\n| 4 | 100 | 15 |\n| 5 | 97 | 27 |\n| 6 | 123 | 30 |\n| 7 | 120 | 16 |\n| 8 | 100 | 8 |\n| 9 | 88 | 5 |\n| 10 | 100 | -5 |\n| 11 | 90 | |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/7f97beaa2499fc094e075fc9995f2c12.png", "anno": "柱状图与折线图1(0,0),(0,0)\n| | | |\n| --- | --- | --- |\n| 1 | 60 | 5 |\n| 2 | 80 | 12 |\n| 3 | 100 | 16 |\n| 4 | 160 | 22 |\n| 5 | 190 | 27 |\n| 6 | 220 | 29 |\n| 7 | 210 | 30 |\n| 8 | 160 | 30 |\n| 9 | 210 | 30 |\n| 10 | 50 | 27 |\n| 11 | 100 | 20 |\n| 12 | 40 | 0 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/ac18abde17ef6e41624f05e5703ae06a.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### 气温柱状图和湿度线状图\n| | 气温 | 湿度 |\n| --- | --- | --- |\n| 11.5 | 23.5℃ | 55% |\n| 11.6 | 22℃ | 49% |\n| 11.7 | 22.5℃ | 61% |\n| 11.8 | 21℃ | 43% |\n| 11.9 | 21.5℃ | 48% |\n| 11.10 | 20.5℃ | 52% |\n| 11.11 | 21.5℃ | 38% |\n| 11.12 | 23℃ | 33% |\n| 11.13 | 22.5℃ | 75% |\n| 11.14 | 22.5℃ | 52% |\n| 11.15 | 19.5℃ | 53% |\n| 11.16 | 22℃ | 71% |\n| 11.17 | 22.5℃ | 66% |\n| 11.18 | 22℃ | 49% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/6304ec5904f59a8ec0f9892983439027.png", "anno": "### 中国近年来滑雪场数量统计图(2013年~2017年)\n| | 滑雪场数量-座 | 室内滑雪场-家 |\n| --- | --- | --- |\n| 2013年 | 408 | 5 |\n| 2014年 | 460 | 7 |\n| 2015年 | 568 | 9 |\n| 2016年 | 646 | 12 |\n| 2017年 | 703 | 21 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/bb86634829d84236f102a0492db16057.png", "anno": "| | 保费收入总额 | 寿险保费收入 | 保费收入增长率 | 寿险保费收入增长率 |\n| --- | --- | --- | --- | --- |\n| 1996 | 1000 | 800 | 70% | 180% |\n| 1997 | 1100 | 920 | 20% | 25% |\n| 1998 | 1200 | 917 | 24% | 25% |\n| 1999 | 1800 | 1600 | 40% | 60% |\n| 2000 | 3000 | 2500 | 60% | 80% |\n| 2001 | 3500 | 2700 | 30% | 20% |\n| 2002 | 4000 | 2900 | 20% | 30% |\n| 2003 | 4500 | 3000 | 25% | 10% |\n| 2004 | 4800 | 3300 | 27% | 20% |\n| 2005 | 5500 | 3900 | 40% | 55% |\n| 2006 | 6000 | 4500 | 60% | 40% |\n| 2007 | 7000 | 4800 | 40% | 65% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/430c957cad99784055a320f35cc3c6eb.png", "anno": "| 订单日期（year） | 订单金额 | 利润金额-利润金额 |\n| --- | --- | --- |\n| 2013 | 275 | 30 |\n| 2014 | 250 | 25 |\n| 2015 | 240 | 27 |\n| 2016 | 260 | 21 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b45fe1ab981b8daee950809ab9906193.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n#### 地中海气候\n| (月) | 气温/℃ | 降水量/mm |\n| --- | --- | --- |\n| 1 | 6 | 60 |\n| 4 | 19 | 45 |\n| 7 | 27 | 3 |\n| 10 | 28 | 140 |\n\n#### 温带海洋性气候\n| (月) | 气温/℃ | 降水量/mm |\n| --- | --- | --- |\n| 1 | 5 | 60 |\n| 4 | 9 | 58 |\n| 7 | 21 | 60 |\n| 10 | 9 | 62 |\n\n### 温带季风气候\n| (月) | 气温/℃ | 降水量/mm |\n| --- | --- | --- |\n| 1 | -10 | |\n| 4 | 15 | 40 |\n| 7 | 25 | 200 |\n| 10 | 0 | 40 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/52086c38848534511137cdec8c7bfd13.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n| | | |\n| --- | --- | --- |\n| 1 | 100 | 13 |\n| 4 | 100 | 29 |\n| 7 | 30 | 30 |\n| 10 | 150 | 12 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/2a020ad58b2bc6427b4183a3833f9737.png", "anno": "| 单位：日 | 关注人数 | 取消人数 | 净关注人 |\n| --- | --- | --- | --- |\n| 1 | 15 | 7 | 8 |\n| 2 | 7 | 5 | 9 |\n| 3 | 12 | 11 | 11 |\n| 4 | 16 | 15 | 16 |\n| 5 | 10 | 9 | 15 |\n| 6 | 30 | 28 | 30 |\n| 7 | 45 | 32 | 43 |\n| 8 | 70 | 50 | 59 |\n| 9 | 75 | 29 | 72 |\n| 10 | 101 | 42 | 90 |\n| 11 | 80 | 29 | 110 |\n| 12 | 150 | 70 | 120 |\n| 13 | 102 | 17 | 91 |\n| 14 | 118 | 29 | 118 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/d067cdcba3252ecbde538a0f64dd0658.png", "anno": "| | 地区生产值占全国生产总值比（%） | 地区人口占全国总人口比（%） |\n| --- | --- | --- |\n| 广东 | 12.0 | 9.7 |\n| 江苏 | 10.0 | 7.0 |\n| 山东 | 7.5 | 6.8 |\n| 浙江 | 8.8 | 5.8 |\n| 河南 | 9.5 | 8.0 |\n| 河北 | 7.5 | 6.0 |\n| 辽宁 | 8.4 | 9.0 |\n| 四川 | 7.2 | 6.0 |\n| 上海 | 8.7 | 8.0 |\n| 湖南 | 2.6 | 4.5 |\n| 湖北 | 3.2 | 6.0 |\n| 福建 | 3.7 | 3.2 |\n| 北京 | 4.4 | 5.0 |\n| 安徽 | 2.7 | 1.7 |\n| 内蒙古 | 1.7 | 5.8 |\n| 江西 | 1.0 | 2.8 |\n| 广西 | 3.0 | 5.5 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b8c4f8ad7d19c68e870950ffe2a7afc7.png", "anno": "| | 浙江 | 江苏 | 广东 | 浙江 | 江苏 | 广东 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2000 | 6.2 | 9.4 | 4.5 | 64 | 90 | 44 |\n| 2001 | 5 | 4 | 6.4 | 50 | 70 | 62 |\n| 2002 | 10.5 | 8.3 | 3 | 92 | 89 | 40 |\n| 2003 | 9.8 | 5.2 | 9 | 93 | 53 | 80 |\n| 2004 | 10 | 12.7 | 4 | 90 | 100 | 35 |\n| 2005 | 8 | 8 | 11 | 70 | 75 | 95 |\n| 2006 | 4.5 | 7.6 | 10.5 | 45 | 60 | 70 |\n| 2007 | 5.3 | 8.2 | 6 | 60 | 78 | 50 |\n| 2008 | 8.2 | 11.4 | 7 | 78 | 95 | 84 |\n| 2009 | 7 | 7.6 | 9 | 60 | 62 | 70 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c87af7a2a2cf0abe46326a615bd76d57.png", "anno": "### 夯幻森林小镇\n\n| | 庞让能量-（单位：万） | 满意度-（单位%） |\n| --- | --- | --- |\n| 1月 | 18 | 90 |\n| 2月 | 8 | 79 |\n| 3月 | 5 | 63 |\n| 4月 | 22 | 66 |\n| 5月 | 20 | 66 |\n| 6月 | 38 | 72 |\n| 7月 | 19 | 82 |\n| 8月 | 55 | 90 |\n| 9月 | 65 | 85 |\n| 10月 | 59 | 94 |\n| 11月 | 41 | 81 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/9e6f6014a116f42be881b0cb1a4fb75b.png", "anno": "### 温带季风\n\n| | 气温(℃) | 降水 |\n| --- | --- | --- |\n| 1 | -16 | 80 |\n| 2 | -16 | 110 |\n| 3 | -16.5 | 130 |\n| 4 | -15 | 160 |\n| 5 | -9 | 170 |\n| 6 | 8 | 230 |\n| 7 | 28 | 260 |\n| 8 | 12 | 220 |\n| 9 | -14 | 180 |\n| 10 | -18 | 120 |\n| 11 | -19 | 95 |\n| 12 | -19.5 | 85 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c5ae9c9ec9ba9ba5f3f28f015c7f82ee.png", "anno": "| | | |\n| --- | --- | --- |\n| 2011 | 346 | 29.4 |\n| 2012 | 394 | 13.9 |\n| 2013 | 469 | 19.0 |\n| 2014 | 487 | 3.8 |\n| 2015 | 495 | 1.6 |\n| 2016 | 499 | 1.0 |\n| 2017 | 538 | 3.4 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/0c542b136a2b8054756eca165cee4f7c.png", "anno": "| | | |\n| --- | --- | --- |\n| 1.22 | 8.5 | 67.9 |\n| 1.23 | 9.8 | 74.1 |\n| 1.24 | 14.0 | 93.9 |\n| 1.25 | 17.0 | 106.8 |\n| 1.26 | 16.2 | 116.4 |\n| 1.27 | 16.9 | 125.6 |\n| 1.28 | 19.0 | 132.8 |\n| 1.29 | 22.0 | 140.1 |\n| 1.30 | 24.6 | 147.3 |\n| 1.31 | 23.7 | 152.7 |\n| 2.1 | 27.8 | 172.1 |\n| 2.2 | 73.5 | 423.2 |\n| 2.3 | 146.1 | 995.1 |\n| 2.4 | 138.3 | 1304.6 |\n| 2.5 | 102.6 | 1301.5 |\n| 2.6 | 85.8 | 1269.6 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/ec52c2c4809c2e5c5fd8a266ce6cd92f.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n| 月 | | |\n| --- | --- | --- |\n| 1 | 0 | 0 |\n| 2 | 3 | 0 |\n| 3 | 15 | 40 |\n| 4 | 30 | 110 |\n| 5 | 39 | 310 |\n| 6 | 40 | 500 |\n| 7 | 34 | 300 |\n| 8 | 11 | 100 |\n| 9 | 2 | 40 |\n| 10 | 0 | 0 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/801613630f7c85576b8a0a90840dccf7.png", "anno": "### 门窗、木门行业产值变化\n\n| | 门窗 | 木门行业产值（亿元） | 木门同比增长 | 门窗同比增长 |\n| --- | --- | --- | --- | --- |\n| 2000 | 80 | 80 | 30% | 25% |\n| 2001 | 80 | 120 | 28% | 24% |\n| 2002 | 80 | 140 | 25% | 23% |\n| 2003 | 90 | 160 | 20% | 22% |\n| 2004 | 90 | 180 | 16% | 20% |\n| 2005 | 100 | 200 | 15% | 20% |\n| 2006 | 160 | 160 | 13% | 20% |\n| 2007 | 100 | 240 | 10% | 20% |\n| 2008 | 160 | 220 | 11% | 20% |\n| 2009 | 150 | 250 | 10% | 15% |\n| 2010 | 210 | 230 | 8% | 14% |\n| 2011 | 180 | 400 | 7% | 13% |\n| 2012 | 200 | 420 | 5% | 12% |\n| 2013 | 200 | 580 | 6% | 11% |\n| 2014 | 420 | 420 | 8% | 10% |\n| 2015 | 360 | 620 | 7% | 9% |\n| 2016 | 520 | 520 | 4% | 10% |\n| 2017 | 740 | 780 | 7% | 11% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/5f73f24f0646c7f56196d0e19ea5e543.png", "anno": "### 全国新冠肺炎累积治愈出院人数统计表及变化趋势\n| 日期 | 累计人数 |\n| --- | --- |\n| 2.1 | 328 |\n| 2.2 | 475 |\n| 2.3 | 632 |\n| 2.4 | 892 |\n| 2.5 | 1153 |\n| 2.6 | 1540 |\n| 2.7 | 2050 |\n| 2.8 | 2699 |\n| 2.9 | 3281 |\n| 2.10 | 3996 |\n| 2.11 | 4760 |\n| 2.12 | 5911 |\n| 2.13 | 6723 |\n| 2.14 | 8096 |\n| 2.15 | 9419 |\n| 2.16 | 10841 |\n| 2.17 | 12552 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/acb68ba67c51c9026dce7c2ad5c0b08f.png", "anno": "| | 软件业务收入(亿元) | 增速 |\n| --- | --- | --- |\n| 2011 | 18849 | 38.7 |\n| 2012 | 24794 | 31.5 |\n| 2013 | 30587 | 23.4 |\n| 2014 | 37026 | 21.1 |\n| 2015 | 42848 | 15.7 |\n| 2016 | 48232 | 13.1 |\n| 2017(快报) | 55037 | 13.9 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/5603b8ee2d91cfe7c25a3004f6d2f61c.png", "anno": "### 温带大陆性\n| | | |\n| --- | --- | --- |\n| 1 | -18 | 8 |\n| 2 | -12 | 4 |\n| 3 | -5 | 6 |\n| 4 | 2 | 12 |\n| 5 | 10 | 26 |\n| 6 | 18 | 53 |\n| 7 | 22℃ | 105 |\n| 8 | 20 | 79 |\n| 9 | 14 | 49 |\n| 10 | 5 | 21 |\n| 11 | -4 | 7 |\n| 12 | -11 | 3 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c1b67b059c5d35f65e91e231333bd743.png", "anno": "| | 销售数额 | 增长率 |\n| --- | --- | --- |\n| 2016季度1 | 1000 | -0.2 |\n| 2016季度2 | 1800 | 0.2 |\n| 2016季度3 | 2200 | 0.5 |\n| 2016季度4 | 3800 | 0.7 |\n| 2017季度1 | 4800 | 0.3 |\n| 2017季度2 | 5100 | 0.1 |\n| 2017季度3 | 5900 | 0.3 |\n| 2017季度4 | 7000 | 0.2 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/2be11466c80de7a2c3306e7b3ef80f22.png", "anno": "### 2024年度运营数据图.\n| | 月均销售(万元) | 月均客流量(十人) |\n| --- | --- | --- |\n| 1月 | 100 | 17 |\n| 2月 | 125 | 24 |\n| 3月 | 130 | 22 |\n| 4月 | 100 | 24 |\n| 5月 | 60 | 21 |\n| 6月 | 160 | 47 |\n| 7月 | 105 | 27 |\n| 8月 | 40 | 17 |\n| 9月 | 75 | 23 |\n| 10月 | 215 | 65 |\n| 11月 | 100 | 24 |\n| 12月 | 160 | 54 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/f9f9db70ea5d1680ad05c01a06def58b.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### 课题2: 探究不同酸碱配比维生素C泡腾片主要性状的影响.\n| | 3:2-pH值 | 1:4-pH值 | 3:2-发泡量/ml | 1:4-发泡量/ml | 3:2-崩解时限/s | 1:4-崩解时限/s |\n| --- | --- | --- | --- | --- | --- | --- | \n| 第一组 | 3.5 | 5.0 | 8.1 | 5.2 | 32.0 | 20.0 |\n| 第二组 | 3.7 | 5.0 | 7.9 | 5.4 | 32.0 | 25.0 |\n| 第三组 | 3.6 | 5.2 | 7.8 | 4.9 | 35.0 | 25.5 |\n| 第四组 | 3.6 | 5.2 | 8.0 | 5.3 | 41.5 | 17.5 |\n| 第五组 | 3.6 | 5.1 | 7.9 | 4.7 | 34.5 | 20.0 |\n| 第六组 | 4.2 | 4.5 | 8.0 | 4.5 | 35.5 | 25.0 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c6716850c6bd6df14bca4a78f226ec6c.png", "anno": "### 生产PMI季节性对比\n| | 2024 | 2021 | 2018 | 2020 | 2019 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 85 | | 60 | 100 | 110 |\n| 2 | 92 | | 73 | 101 | 103 |\n| 3 | 70 | | 47 | 109 | 79 |\n| 4 | 110 | | 80 | 115 | 54 |\n| 5 | | 73 | 69 | 115 | 87 |\n| 6 | 123 | | 100 | 128 | 107 |\n| 7 | | 75 | 100 | 120 | 75 |\n| 8 | | 62 | 50 | 111 | 48 |\n| 9 | | 89 | 70 | 109 | 50 |\n| 10 | | | 108 | 102 | 65 |\n| 11 | | | 105 | 102 | 84 |\n| 12 | | | 84 | 110 | 64 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/65d750b323b79c0efe7259466ccbc3d2.png", "anno": "| | 研发量-(亿元) | 政府占比 | 企业占比 |\n| --- | --- | --- | --- |\n| 2010 | 900 | 53 | 34 |\n| 2011 | 950 | 54 | 35 |\n| 2012 | 1100 | 55 | 24 |\n| 2013 | 1200 | 56 | 25 |\n| 2014 | 1300 | 57 | 26 |\n| 2015 | 1400 | 58 | 27 |\n| 2016 | 1500 | 59 | 25 |\n| 2017 | 1600 | 60 | 28 |\n| 2018 | 1700 | 70 | 25 |\n| 2019 | 1900 | 79 | 24 |\n| 2020 | 2000 | 55 | 25 |\n| 2021 | 2100 | 60 | 24 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/909376ec67492b8c7730bcc049b9f347.png", "anno": "| | 悬浮物-降水量（mm） | PAM-降水量（mm） | PAC-降水量（mm） | 春-温度°C | 夏-温度°C | 秋-温度°C |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1月 | 42 | 28 | 42 | 16 | 18 | 21 |\n| 2月 | 20 | 36 | 16 | 20 | 23 | 20 |\n| 3月 | 22 | 42 | 17 | 21 | 20 | 22 |\n| 4月 | 46 | 60 | 35 | 25 | 27 | 26 |\n| 5月 | 38 | 80 | 52 | 36 | 34 | 32 |\n| 6月 | 41 | 46 | 43 | 22 | 21 | 23 |\n| 7月 | 48 | 36 | 49 | 16 | 22 | 25 |\n| 8月 | 104 | 56 | 16 | 22 | 24 | 20 |\n| 9月 | 112 | 8 | 48 | 13 | 20 | 20 |\n| 10月 | 20 | 64 | 14 | 26 | 23 | 28 |\n| 11月 | 88 | 86 | 98 | 29 | 24 | 27 |\n| 12月 | 14 | 64 | 15 | 24 | 22 | 20 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/6ad6428b9d9d69116554f986a310c341.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n| | 气温/℃ | 降水量/mm |\n| --- | --- | --- |\n| 1 | 10 | 75 |\n| 2 | 12 | 90 |\n| 3 | 16 | 75 |\n| 4 | 16 | 60 |\n| 5 | 22 | 50 |\n| 6 | 26 | 40 |\n| 7 | 28 | 0 |\n| 8 | 21 | 30 |\n| 9 | 15 | 75 |\n| 10 | 14 | 120 |\n| 11 | | 120 |\n| 12 | | 95 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/975a85550f2801e686e79378dd1d6c29.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### ③ 亚热带季风和亚热带湿润气候\n\n| | 气温 | 降水量 |\n| --- | --- | --- |\n| 1 | 4 | 70 |\n| 2 | 7 | 48 |\n| 3 | 11 | 120 |\n| 4 | 16 | 75 |\n| 5 | 20 | 85 |\n| 6 | 26 | 215 |\n| 7 | 30 | 140 |\n| 8 | 26 | 215 |\n| 9 | 22 | 80 |\n| 10 | 18 | 60 |\n| 11 | 12 | 55 |\n| 12 | 6 | 35 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/dcda09c5b769e382261a6263293f8bb0.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n### 高三(2)班家长会·弱势学科是一块“短板”，要认真对待 \n#### 高考满分线，总分750分\n| 学科 | 成绩-分数 | 满分差距-分数 | 满分-分数 | 二本-分数 |\n| --- | --- | --- | --- | --- |\n| 语文 | 92分 | 58分 | 150分 | 90分 |\n| 数学 | 30分 | 120分 | 150分 | 90分 |\n| 外语 | 103分 | 47分 | 150分 | 90分 |\n| 物理 | 50分 | 50分 | 100分 | 60分 |\n| 化学 | 23分 | 77分 | 100分 | 60分 |\n| 生物 | 61分 | 39分 | 100分 | 60分 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b0b7cb04727102d230f3a5eba4853796.png", "anno": "### 热带雨林气候\n#### 全年高温多雨\n| | 气温-℃ | 降水量-mm |\n| --- | --- |\n| 1月 | 27.3 | 260 |\n| 2月 | 27.0 | 370 |\n| 3月 | 26.0 | 470 |\n| 4月 | 27.0 | 280 |\n| 5月 | 26.0 | 260 |\n| 6月 | 26.3 | 180 |\n| 7月 | 26.3 | 150 |\n| 8月 | 27.0 | 200 |\n| 9月 | 27.0 | 190 |\n| 10月 | 27.0 | 230 |\n| 11月 | 27.7 | 250 |\n| 12月 | 27.0 | 190 |\n\n### 热带草原气候\n#### 全年高温，分干、湿两季\n| | 气温-℃ | 降水量-mm |\n| --- | --- |\n| 1月 | 27.0 | 40 |\n| 2月 | 30.0 | 30 |\n| 3月 | 32.0 | 40 |\n| 4月 | 31.0 | 60 |\n| 5月 | 29.0 | 100 |\n| 6月 | 28.0 | 160 |\n| 7月 | 29.5 | 250 |\n| 8月 | 29.5 | 380 |\n| 9月 | 29.5 | 180 |\n| 10月 | 27.5 | 80 |\n| 11月 | | 40 |\n| 12月 | | 0 |\n\n### 热带季风气候\n#### 全年高温，分旱、雨两季\n| | 气温-℃ | 降水量-mm |\n| --- | --- |\n| 1月 | 28.5 | 0 |\n| 2月 | 28.0 | 0 |\n| 3月 | 29.0 | 0 |\n| 4月 | 29.5 | 0 |\n| 5月 | 29.0 | 40 |\n| 6月 | 28.0 | 490 |\n| 7月 | 29.0 | 640 |\n| 8月 | 28.5 | 370 |\n| 9月 | 28.5 | 90 |\n| 10月 | 28.5 | 30 |\n| 11月 | 28.3 | 0 |\n| 12月 | 27.0 | 0 |\n\n### 热带沙漠气候\n#### 全年炎热干燥\n| | 气温-℃ | 降水量-mm |\n| --- | --- |\n| 1月 | 27.0 | 0 |\n| 2月 | 27.5 | 0 |\n| 3月 | 28.5 | 0 |\n| 4月 | 31.0 | 0 |\n| 5月 | 31.5 | 0 |\n| 6月 | 31.0 | 0 |\n| 7月 | 31.0 | 0 |\n| 8月 | 30.8 | 0 |\n| 9月 | 30.0 | 0 |\n| 10月 | 28.5 | 0 |\n| 11月 | 27.0 | 0 |\n| 12月 | 26.0 | 0 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/92760cca6ef6c36e431089894e5fbb76.png", "anno": " 柱状图与折线图1(0,0),(0,0)\n### ④地中海气候\n\n| | 气温 | 降水量 |\n| --- | --- | --- |\n| 1 | 9 | 68 |\n| 2 | 12 | 55 |\n| 3 | 15 | 40 |\n| 4 | 20 | 25 |\n| 5 | 24 | 15 |\n| 6 | 28 | 13 |\n| 7 | 31 | 15 |\n| 8 | 28 | 38 |\n| 9 | 26 | 50 |\n| 10 | 21 | 63 |\n| 11 | 16 | 75 |\n| 12 | 9 | 90 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/933a08b87ea33b831e62765b7d986056.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### ②温带大陆性气候\n#### 夏季高温多雨 冬季寒冷少雨\n\n| | 气温 | 降水量 |\n| --- | --- | --- |\n| 1 | -6 | 20 |\n| 2 | -4 | 15 |\n| 3 | 0 | 35 |\n| 4 | 10 | 50 |\n| 5 | 16 | 60 |\n| 6 | 20 | 80 |\n| 7 | 27 | 95 |\n| 8 | 20 | 76 |\n| 9 | 12 | 59 |\n| 10 | 4 | 50 |\n| 11 | 0 | 40 |\n| 12 | -8 | 25 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/12d6ef0c67b0ea1ffde630e893c61d25.png", "anno": "### 全国新冠肺炎累积治愈出院人数统计表及变化趋势\n\n| 日期 | 累计人数 |\n| --- | --- |\n| 2.1 | 328 |\n| 2.2 | 475 |\n| 2.3 | 632 |\n| 2.4 | 892 |\n| 2.5 | 1153 |\n| 2.6 | 1540 |\n| 2.7 | 2050 |\n| 2.8 | 2699 |\n| 2.9 | 3281 |\n| 2.10 | 3996 |\n| 2.11 | 4740 |\n| 2.12 | 5911 |\n| 2.13 | 6723 |\n| 2.14 | 8096 |\n| 2.15 | 9419 |\n| 2.16 | 10841 |\n| 2.17 | 12552 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/bf73fab023c8afa2aca3232a27e904fb.png", "anno": "| | 降水量 | 降水位 |\n| --- | --- | --- |\n| 1月 | 55 | 55 |\n| 2月 | 80 | 80 |\n| 3月 | 65 | 65 |\n| 4月 | 110 | 110 |\n| 5月 | 35 | 35 |\n| 6月 | 105 | 105 |\n| 7月 | 50 | 50 |\n| 8月 | 125 | 125 |\n| 9月 | 80 | 80 |\n| 10月 | 105 | 105 |\n| 11月 | 130 | 130 |\n| 12月 | 165 | 165 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/66cfb8902905ba5d89a040ed84ccf058.png", "anno": "柱状图与折线图1(0,0),(0,0)\n| | 气温/℃ | 降水量/mm |\n| --- | --- | --- | --- |\n| 1 | -4 | 0 |\n| 2 | 0 | 0 |\n| 3 | 5 | 12 |\n| 4 | 17 | 27 |\n| 5 | 22 | 40 |\n| 6 | 27 | 40 |\n| 7 | 27 | 190 |\n| 8 | 21 | 233 |\n| 9 | 13 | 70 |\n| 10 | 6 | 30 |\n| 11 | -2 | 18 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/60d43d39961e94765ce0268a51c4cd01.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n| 月 | 气温/℃ | 降水量/mm |\n| --- | --- | --- |\n| 1 | 3.7 | 60 |\n| 2 | 6.7 | 80 |\n| 3 | 10.5 | 90 |\n| 4 | 15 | 120 |\n| 5 | 16.5 | 130 |\n| 6 | 20 | 150 |\n| 7 | 22.5 | 135 |\n| 8 | 26 | 115 |\n| 9 | 22 | 140 |\n| 10 | 18 | 50 |\n| 11 | 10.5 | 70 |\n| 12 | 6 | 50 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/809a9499a848e7921970779161e36693.png", "anno": "柱状图与折线图1(0,0),(0,0)\n#### 温带大陆性气候\n| 月 | | 降水量/mm |\n| --- | --- | --- |\n| 1 | -10 | 40 |\n| 2 | -9 | 30 |\n| 3 | -7.5 | 50 |\n| 4 | 0 | 60 |\n| 5 | 4 | 65 |\n| 6 | 13 | 70 |\n| 7 | 20 | 85 |\n| 8 | 22 | 80 |\n| 9 | 20 | 50 |\n| 10 | 17 | 30 |\n| 11 | 12 | 40 |\n| 12 | -14 | 25 |\n\n#### 极地气候\n| 月 | |\n| --- | --- |\n| 1 | -30 |\n| 4 | -65 |\n| 7 | -70 |\n| 10 | -45 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/3905e9ff019baa2c33de0c19aea1d5ed.png", "anno": "### XX处理量与处理速度对比\n\n| | 处理量 | 处理速度 |\n| --- | --- | --- |\n| 吕二 | 125 | 80 |\n| 张三 | 201 | 77 |\n| 李四 | 223 | 58 |\n| 王五 | 520 | 90 |\n| 赵六 | 300 | 50 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/22d7c1e5b99b3a130ce43248c327fe0c.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### 31省区市七日内新增感染者趋势\n\n| | 确诊病例 | 无症状感染者 | 实际新增感染者（确诊+无症状+转归） |\n| --- | --- | --- | --- |\n| 5月5日 | 356 | 4272 | 4439 |\n| 5月6日 | 345 | 4275 | 4435 |\n| 5月7日 | 319 | 4065 | 4243 |\n| 5月8日 | 401 | 3859 | 4024 |\n| 5月9日 | 349 | 3077 | 3054 |\n| 5月10日 | 302 | 1441 | 1631 |\n| 5月11日 | 222 | 1530 | 1741 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/e9c02b976428b657519a53831fc78788.png", "anno": "### 销量图\n\n| | 2024 | 2023 | 环比 |\n| --- | --- | --- | --- |\n| 1月 | 325 | 270 | 5% |\n| 2月 | 220 | 230 | 6% |\n| 3月 | 295 | 345 | 7% |\n| 4月 | 230 | 175 | 8% |\n| 5月 | 345 | 370 | 10% |\n| 6月 | 240 | 290 | 10% |\n| 7月 | 300 | 370 | 10% |\n| 8月 | 240 | 300 | 12% |\n| 9月 | 275 | 215 | 11% |\n| 10月 | 280 | 215 | 11% |\n| 11月 | 290 | 240 | 10% |\n| 12月 | 175 | 295 | 10% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/d31ba3592506e537ce5a2e8b153bfa1f.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n| (月) | 气温/℃ | 降水量/mm |\n| --- | --- | --- |\n| 1 | 440 | -51 |\n| 2 | 470 | -52 |\n| 3 | 472 | -50 |\n| 4 | 500 | -53 |\n| 5 | 520 | -51 |\n| 6 | 540 | -49.5 |\n| 7 | 540 | -48 |\n| 8 | 520 | -49.5 |\n| 9 | 490 | -51 |\n| 10 | 470 | -52 |\n| 11 | 440 | -50 |\n| 12 | | -49 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b9f94c57c8a7783162ceab390023847f.png", "anno": "| 单位/月 | 男-银行人数统计 | 女-银行人数统计 | 大学生-银行人数统计 | 老人-银行人数统计 | 总数-银行人数统计 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1200 | 500 | 1000 | 1000 | 3700 |\n| 2 | 500 | 850 | 650 | 600 | 2600 |\n| 3 | 600 | 500 | 400 | 600 | 2100 |\n| 4 | 1700 | 400 | 700 | 200 | 3000 |\n| 5 | 1350 | 800 | 850 | 500 | 3500 |\n| 6 | 550 | 450 | 650 | 300 | 1950 |\n| 7 | 400 | 600 | 600 | 1400 | 3000 |\n| 8 | 1150 | 1400 | 550 | 700 | 3800 |\n| 9 | 1000 | 950 | 150 | 750 | 2850 |\n| 10 | 350 | 350 | 400 | 600 | 1700 |\n| 11 | 1200 | 1000 | 900 | 700 | 3800 |\n| 12 | 500 | 400 | 1000 | 500 | 2400 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/01fddd9608e0fd82716d6d31a4e42115.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### 伦敦\n\n| 月 | | |\n| --- | --- | --- |\n| 1 | 80 | 8 |\n| 4 | 50 | 8 |\n| 7 | 120 | 38 |\n| 10 | 120 | 7 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c120197d98fa40133493848feb48db79.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### Global debt is fast approaching $300 trillion\n\n| | Global debt (in USD)-$ trillion | % of GDP, weighted avg. |\n| --- | --- | --- |\n| 2014 | 220 | 310 |\n| 2015 | 215 | 319 |\n| 2016 | 225 | 329 |\n| 2017 | 226 | 330 |\n| 2018 | 255 | 325 |\n| 2019 | 258 | 327 |\n| 2020 | 267 | 353 |\n| 2021 | 289 | 365 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c338f0542f6c5bc662b1296fc54bc3eb.png", "anno": "| | | |\n| --- | --- | --- |\n| 1.22 | 8.5 | 67.9 |\n| 1.23 | 9.8 | 74.1 |\n| 1.24 | 14.0 | 93.9 |\n| 1.25 | 17.0 | 106.8 |\n| 1.26 | 16.2 | 116.4 |\n| 1.27 | 16.9 | 125.6 |\n| 1.28 | 19.0 | 132.8 |\n| 1.29 | 22.0 | 140.1 |\n| 1.30 | 24.6 | 147.3 |\n| 1.31 | 23.7 | 152.7 |\n| 2.1 | 27.8 | 172.1 |\n| 2.2 | 73.5 | 423.2 |\n| 2.3 | 146.1 | 995.1 |\n| 2.4 | 138.3 | 1304.6 |\n| 2.5 | 102.6 | 1301.5 |\n| 2.6 | 85.8 | 1269.6 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b3abcc80878099efcd0ef3bc26fdc51d.png", "anno": "柱状图与折线图1(0,0),(0,0)\n### 宜昌每日和累计新增新冠肺炎趋势图\n\n| | 新增人数 | 累计人数 |\n| --- | --- | --- |\n| 2/19 | 0 | 910 |\n| 2/20 | 4 | 914 |\n| 2/21 | 0 | 914 |\n| 2/22 | 3 | 917 |\n| 2/23 | 7 | 924 |\n| 2/24 | 2 | 926 |\n| 2/25 | 1 | 927 |\n| 2/26 | 2 | 929 |\n| 2/27 | 2 | 931 |\n| 2/28 | 0 | 931 |\n\n柱状图与折线图2(0,0),(0,0)\n### 宜昌每日和累计新增出院新冠肺炎趋势图\n\n| | 出院人数 | 累计出院人数 |\n| --- | --- | --- |\n| 2/19 | 23 | 231 |\n| 2/20 | 19 | 250 |\n| 2/21 | 23 | 273 |\n| 2/22 | 16 | 289 |\n| 2/23 | 15 | 304 |\n| 2/24 | 24 | 328 |\n| 2/25 | 34 | 362 |\n| 2/26 | 34 | 396 |\n| 2/27 | 33 | 429 |\n| 2/28 | 33 | 462 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/571489d0a1965a38f6410537a300701b.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n| | 收入 | 增长 |\n| --- | --- | --- |\n| 7 | 4000 | 100% |\n| 8 | 6500 | 100% |\n| 9 | 16000 | 230% |\n| 10 | 16000 | 0 |\n| 11 | 16000 | 0 |\n| 12 | 35000 | 100% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/10cada55aec9254b19b2906e29db8221.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n| | | |\n| --- | --- |\n| 1 | 30 | 50 |\n| 2 | 34 | 20 |\n| 3 | 39 | 50 |\n| 4 | 40 | 100 |\n| 5 | 38 | 220 |\n| 6 | 34 | 320 |\n| 7 | 32 | 450 |\n| 8 | 33 | 280 |\n| 9 | 32 | 180 |\n| 10 | 31 | 60 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/7a0203641c750f4f4a5504c24bd90576.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n| 月 | 气温/℃ | 降水量/mm |\n| --- | --- | --- |\n| 1 | 30 | 250 | \n| 4 | 31 | 300 | \n| 7 | 32 | 120 | \n| 10 | 35 | 250 | ", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/868adbd3ad7eeb742e5a81524ee09643.png", "anno": "柱状图与折线图1(0,0),(0,0)\n\n| (月) | 气温/℃ | 降水量/mm |\n| --- | --- | --- |\n| 1 | 5 | 68 |\n| 2 | 8 | 90 |\n| 3 | 10 | 100 |\n| 4 | 16.5 | 120 |\n| 5 | 23 | 140 |\n| 6 | 29 | 170 |\n| 7 | 23 | 165 |\n| 8 | 20 | 130 |\n| 9 | 15.5 | 170 |\n| 10 | 8 | 85 |\n| 11 | 8 | 85 |\n| 12 | 7 | 80 |\n\n| (月) | 气温/℃ | 降水量/mm |\n| --- | --- | --- |\n| 1 | 11 | 85 |\n| 2 | 11.3 | 98 |\n| 3 | 14.7 | 92 |\n| 4 | 15 | 85 |\n| 5 | 22.5 | 60 |\n| 6 | 26 | |\n| 7 | 27 | |\n| 8 | 24 | 55 |\n| 9 | 21 | 90 |\n| 10 | 15 | 130 |\n| 11 | 8.5 | 125 |\n|12 | 6 | 100 |\n\n| (月) | 气温/℃ | 降水量/mm |\n| --- | --- | --- |\n| 1 | 5 | 66 |\n| 2 | 9.5 | 40 |\n| 3 | 11.3 | 56 |\n| 4 | 12 | 80 |\n| 5 | 15 | 70 |\n| 6 | 17 | 92 |\n| 7 | 20.7 | 92 |\n| 8 | 20 | 86 |\n| 9 | 12 | 80 |\n| 10 | 9 | 98 |\n| 11 | 7.5 | 70 |\n| 12 | 4 | 65 |\n\n| (月) | 气温/℃ | 降水量/mm |\n| --- | --- | --- |\n| 1 | -4 | |\n| 2 | -2 | |\n| 3 | 3 | 10 |\n| 4 | 20 | 35 |\n| 5 | 25 | 50 |\n| 6 | 26 | 80 |\n| 7 | 22 | 190 |\n| 8 | 15 | 270 |\n| 9 | 9 | 95 |\n| 10 | 3 | 36 |\n| 11 | 0 | 20 |\n| 12 | -6 | |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/5f7f52a6223a83c454eddf518a2a8a18.png", "anno": "| | series 1 | series 2 | series 3 |\n| --- | --- | --- | --- |\n| category 1 | 4.5 | 17% | 25% |\n| category 2 | 2.8 | 17% | 38% |\n| category 3 | 3.3 | 26% | 13% |\n| category 4 | 2.0 | 38% | 15% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9923816c4f1157ef5a4804d8df098681.png", "anno": "### ZOO Animal Poplulation Tends\n| | 2003-Number of Animals | 2004-Number of Animals | Fu-Number of Animals |\n| --- | --- | --- | --- |\n| Lions | 4.2 | 3.3 | 12.4 |\n| Tigers | 2.3 | 4 | 12.7 |\n| Girafes | 3 | 1.5 | 13 |\n| Zebras | 4 | 4.3 | 16 |\n| Monkeys | 1 | 4 | 14 |\n| Elephants | 3 | 2.4 | 13.5 |\n| Penguins | 5 | 4 | 15.5 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/5e4fd193392c7ecf825a26adaf85e141.png", "anno": "| | TPES from Coal (EJ) | Share of Coal in TPES-Share of Coal in TPES (%) |\n| --- | --- | --- |\n| 2000 | 54 | 73% |\n| 2001 | 56 | 61% |\n| 2002 | 65 | 74% |\n| 2003 | 54 | 70% |\n| 2004 | 62 | 76% |\n| 2005 | 38 | 79% |\n| 2006 | 58 | 78% |\n| 2007 | 69 | 80% |\n| 2008 | 41 | 52% |\n| 2009 | 58 | 62% |\n| 2010 | 48 | 69% |\n| 2011 | 70 | 87% |\n| 2012 | 47 | 51% |\n| 2013 | 61 | 63% |\n| 2014 | 38 | 51% |\n| 2015 | 61 | 70% |\n| 2016 | 51 | 60% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/324c44d38e4ea80903fc9e93de451e34.png", "anno": "| | Efficiency and end-use-D:/lion USD（2.2） | Low-emissions fuels-D:/lion USD（2.2） | Power-D:/lion USD（2.2） |\n| --- | --- | --- | --- |\n| 1 | 700 | 600 | 300 |\n| 2 | 300 | 500 | 2600 |\n| 3 | 1200 | 1000 | 500 |\n| 4 | 600 | 400 | 2800 |\n| 5 | 2100 | 100 | 2600 |\n| 6 | 500 | 3200 | 3500 |\n| 7 | 2300 | 1700 | 2650 |\n| 8 | 700 | 500 | 4400 |\n| 9 | 1800 | 1300 | 2400 |\n| 10 | 900 | 900 | 3800 |\n| 11 | 3300 | 1500 | 4000 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/c2b2a57a7c642d5971e5c87ceb4fb3be.png", "anno": "| | PCE Goods | Net Exports | Government | Real GDP | |\n| --- | --- | --- | --- | --- | --- |\n| 2000 Q1 | 0.6 | 1.2 | 0.5 | -1.8 | 1.2 |\n| 2000 Q2 | 1.6 | 1.1 | 0.4 | -0.8 | 1.5 |\n| 2000 Q3 | 0.5 | 1.2 | 1.3 | 2.8 | 1.5 |\n| 2000 Q4 | 1 | 0.3 | 0.8 | 2.1 | 0.6 |\n| 2001 Q1 | 1.3 | 0.3 | 1.3 | 1.5 | 1.3 |\n| 2001 Q2 | 0.3 | 0.2 | 0.1 | 1.6 | 0.4 |\n| 2001 Q3 | 0.2 | 0.6 | 1.3 | 5.3 | 1.3 |\n| 2001 Q4 | 0.3 | 1.5 | 0.2 | 3 | 0.7 |\n| 2002 Q1 | 0.5 | 0.6 | 0.2 | 1.3 | 1.3 |\n| 2002 Q2 | 0.2 | 0.6 | 1.2 | 1.4 | 1.1 |\n| 2002 Q3 | 0.2 | 0.2 | 2.2 | 0.8 | 0.2 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f1b6be8d91ca517213cee85883b0a66c.png", "anno": "### Sales data comparison chart\n| Month | Amount in yuan | increase Rate (%) |\n| --- | --- | --- |\n| | 110 | 5.04 |\n| | 118 | 5.00 |\n| | 123 | 3.54 |\n| | 130 | 5.08 |\n| | 140 | 6.29 |\n| | 125 | 7.96 |\n| | 123 | 8.06 |\n| | 133 | 9.12 |\n| | 113 | 9.04 |\n| | 78 | 10.17 |\n| | 112 | 10.27 |\n| | 135 | 10.01 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f1865570bf454c0817bdf3f6a2ac262b.png", "anno": "### Sales volume and year-on-year growth situation of the zhejiang branch.\n| | Shouli | year-on-year growth |\n| --- | --- | --- |\n| Hangzhou | 120 | 100% |\n| Jinhua | 70 | 45% |\n| Huzhou | 40 | 80% |\n| Quzhou | 75 | 35% |\n| Jiaxing | 20 | -15% |\n| Ningbo | 90 | 45% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/d393cabcd8a9f543f18456c308718f36.png", "anno": "### Sales Performance 2024\n\n| | Product A | Product B | |\n| --- | --- | --- | --- |\n| 1 | 3.7 | 2.4 | 2.4 |\n| 2 | 4.1 | 1.7 | 2.6 |\n| 3 | 4 | 2.9 | 2.9 |\n| 4 | 4.3 | 2.2 | 2.7 |\n| 5 | 4.2 | 2.3 | 3.3 |\n| 6 | 3.2 | 1.8 | 3.2 |\n| 7 | 3.8 | 2.4 | 3.8 |\n| 8 | 4.3 | 2.4 | 4.3 |\n| 9 | 4.5 | 3.3 | 4.5 |\n| 10 | 3.8 | 2.8 | 3.8 |\n| 11 | 3.5 | 2.7 | 3.5 |\n| 12 | 3 | 2.6 | 3 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/18dc18a7c18d99f64bb6b9df43189d39.png", "anno": "### Bar Chart and line chart\n| | bar | line |\n| --- | --- | --- |\n| 1993 | 75 | 27% |\n| 1994 | 90 | 36% |\n| 1995 | 60 | 13% |\n| 1996 | 105 | 31% |\n| 1997 | 55 | 5% |\n| 1998 | 92 | -27% |\n| 1999 | 62 | 29% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9b96b57cebcb430dca621ee551f43b02.png", "anno": "| | Number | money |\n| --- | --- | --- |\n| 1 | 5 | 5 |\n| 2 | 10 | 10 |\n| 3 | 13 | 8 |\n| 4 | 17 | 14 |\n| 5 | 25 | 21 |\n| 6 | 13 | 10 |\n| 7 | 20 | 13 |\n| 8 | 13 | 8 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/5f1f11b5e4946667115774d9a79bd015.png", "anno": "### A.Global growth\n\n| | percent | percent | percent |\n| --- | --- | --- | --- |\n| 2010 | 4.2 | 8.3 | 2.4 |\n| 2012 | 4.7 | 6.5 | 1.4 |\n| 2014 | 4.2 | 6.0 | 1.5 |\n| 2016 | 2.8 | 5.5 | 1.4 |\n| 2018 | 3.5 | 3.5 | 2.0 |\n| 2020 | -4.0 | -1.6 | -4.0 |\n| 2022 | 2.8 | 3.5 | 1.3 |\n| 2024 | 3.5 | 4.7 | 1.4 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/c5bfb8728d08b7e63a85c10b9bc8b4bc.png", "anno": "| | Historical data-GW | Low Scenario-GW | High Scenario-GW | Medium Scenario-GW |\n| --- | --- | --- | --- | --- |\n| 2015 | 50 | | | |\n| 2016 | 75 | | | |\n| 2017 | 100 | | | |\n| 2018 | 125 | | | |\n| 2019 | 140 | | | 145 |\n| 2020 | | 78 | 160 | 100 |\n| 2021 | | 115 | 200 | 160 |\n| 2022 | | 125 | 220 | 165 |\n| 2023 | | 130 | 230 | 175 |\n| 2024 | | 140 | 245 | 195 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/3e9f26d5f01c6b4791bcf738bb334573.png", "anno": "| | | |\n| --- | --- | --- |\n| Monday | 15 | |\n| Monday | 25 | 22 |\n| Tuesday | 12 | |\n| Tuesday | 30 | 43 |\n| Wednesday | 15 | |\n| Wednesday | 24 | 33 |\n| Thursday | 10 | |\n| Thursday | 25 | 22 |\n| Friday | 13 | 10 |\n| Friday | 20 | 30 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/0f416705d087bf17ca15008a9e1b3c15.png", "anno": "### Chart Title\n\n| | Amount | Growth rate |\n| --- | --- | --- |\n| 2017 | 3 | 15.00% |\n| 2018 | 1.5 | 18.00% |\n| 2019 | 2.3 | 10.00% |\n| 2020 | 3.3 | 15.00% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/bd5fe70e3549413eabbf070c648f8a8c.png", "anno": "### Combined Line and Bar Chart\n\n| Categories | Line Values | Bar Values |\n| --- | --- | --- |\n| | 110 | 35 |\n| | 160 | 37 |\n| | 110 | 44 |\n| | 180 | 47 |\n| | 108 | 40 |\n| | 170 | 49 |\n| | 205 | 39 |\n| | 225 | 42 |\n| | 135 | 35 |\n| | 170 | 40 |\n| | 105 | 28 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/2ad3618f6ae8341c8a23e93f6bf80d29.png", "anno": "| | Market Size | Growth Rate |\n| --- | --- | --- |\n| | 300 | |\n| | 400 | |\n| | 500 | 21.3% |\n| | 800 | 21.8% |\n| | 1000 | 21.9% |\n| | 1050 | 21.6% |\n| | 1150 | 22.0% |\n| | 1250 | 22.25% |\n| | 1400 | 22.3% |\n| | 1750 | 22.4% |\n| | 2050 | 22.5% |\n| | 2400 | 22.8% |\n| | 2600 | 22.8% |\n| | 2100 | |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/4f36426715f14ab7116399b1cab87d1b.png", "anno": "| | 2018-万辆 | 2019-万辆 | YoY |\n| --- | --- | --- | --- |\n| Jan | 35 | 36.5 | 4% |\n| Feb | 41 | 42 | 3% |\n| Mar | 60 | 58.5 | 1% |\n| Apr | 33 | 33.5 | 8% |\n| May | 33.5 | 36 | 10% |\n| Jun | 38 | 37 | 2% |\n| Aug | 37 | 39 | 6% |\n| Sep | 31.5 | 34 | 9% |\n| Oct | 40 | 45.5 | 15% |\n| Jul | 35.5 | 28 | -25% |\n| Nov | 43 | | |\n| Dec | 35.5 | |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9bcb83929af13c5505244643b2f71931.png", "anno": "### Title\n\n| | A-Aor h | h-Aor h | C-Aor h |\n| --- | --- | --- | --- |\n| raw data | 1 | 1 | 0.83 |\n| Moder1 | 0.9 | 0.5 | 0.98 |\n| Model2 | 0.5 | 0.7 | 0.63 |\n| Model3 | 0.1221 | 0.24 | 0.47 |\n| Model4 | 0.4 | 0.24 | 0.53 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/d05dd2ffa2452aa815692bf20c52e8d5.png", "anno": "### Sales Trend & Product Comparison\n\n| | Quantity | Sales (USD) |\n| --- | --- | --- |\n| 1 | 50 | 13 |\n| 2 | 64 | 23 |\n| 3 | 80 | 13 |\n| 4 | 108 | 28 |\n| 5 | 122 | 34 |\n| 6 | 81 | 23 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b0893f112ff087b988aaf35d2a6eca79.png", "anno": "### Bar-Line Combination Chart\n\n| | Label 1 | Label 2 |\n| --- | --- | --- |\n| A | 2.5 | 2.5 |\n| B | 4.0 | 4.0 |\n| C | 3.0 | 3.0 |\n| D | 3.5 | 3.5 |\n| E | 2.0 | 2.0 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/63e2c5d258f2bc75dcda3f3f75fa0dc8.png", "anno": "### Sales Statistics of Online Tools Network in 2019\n\n| Quarter | Income-Ten thousand yuan | Outcome-Ten thousand yuan | Profit |\n| --- | --- | --- | --- |\n| The first quarter | 110 | 30 | 85 |\n| The second quarter | 115 | 25 | 90 |\n| The third quarter | 215 | 47 | 195 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6ba1f2401903875da32d3f0b70ed3f2d.png", "anno": "### Wind Generation, Curtailment Volume and Rate\n\n| | wind catallment volume | wind electricity generation | curtailment rate |\n| --- | --- | --- | --- |\n| 2008 | 10 | 50 | 9% |\n| 2009 | 15 | 65 | 13% |\n| 2010 | 20 | 75 | 15% |\n| 2011 | 30 | 90 | 13% |\n| 2012 | 35 | 110 | 14% |\n| 2013 | 40 | 130 | 14% |\n| 2014 | 30 | 100 | 11% |\n| 2015 | 60 | 150 | 15% |\n| 2016 | 30 | 170 | 13% |\n| 2017 | 45 | 135 | 12% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/5174603222b2f9e49deae8321318d35f.png", "anno": "柱状图与折线图1(0,0),(0,0)\n| | Price | Time |\n| --- | --- | --- |\n| January | 38 | 25 |\n| February | 52 | 35 |\n| March | 68 | 45 |\n| April | 55 | 40 |\n| May | 36 | 30 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f87254691f59001aac555604acbf195a.png", "anno": "### Sales Performance Analysis\n| | P.A/S | P.B/S |\n| --- | --- | --- |\n| Jan | 6.3 | 3.2 |\n| Feb | 7.1 | 3.8 |\n| Mar | 6.9 | 2.8 |\n| Apr | 10.7 | 6.3 |\n| May | 9 | 7.1 |\n| Jun | 11.2 | 8 |\n| Jul | 8.3 | 6 |\n| Aug | 8 | 5.1 |\n| Sep | 6.8 | 7.2 |\n| Oct | 5.9 | 7.8 |\n| Nov | 5.2 | 4 |\n| Dec | 4.5 | 8.6 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/45433544cc93aa513cc3dcc18ac6df29.png", "anno": "### Revenue & Profit (Jan - Jun)\n| | Revenue - Revenue (10K RMB) | Profit - Profit (10K RMB) |\n| --- | --- | --- |\n| Jan | 100 | 40 |\n| Feb | 60 | 60 |\n| Mar | 90 | 40 |\n| Apr | 120 | 20 |\n| May | 80 | 50 |\n| Jun | 100 | 76 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/442af53e9cedd6cb8aa82713af9601b2.png", "anno": "### Brand Sale&Share Trend\n| | A | B | N+ |\n| --- | --- | --- | --- |\n| 2015 | 277 | 453 | 0 |\n| 2016 | 313 | 310 | -7 |\n| 2017 | 122 | 453 | -6 |\n| 2018 | 367 | 450 | 13 |\n| 2019 | 415 | 160 | -5 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a165949619e19d6be01ab10e555e33ce.png", "anno": "### Performance comparison\n\n| | A | B | C |\n| --- | --- | --- | --- |\n| The first quarter | 7 | 8 | 6 |\n| Second Quarter | 5 | 6 | 11 |\n| The third quarter | 3 | 3 | 6 |\n| Fourth Quarter | 9 | 5 | 9 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/76e1d03e661e0bc94037d79ef52e40e0.png", "anno": "| | Public cloud | Private cloud | Growth rate |\n| --- | --- | --- | --- |\n| 2011 | 800 | 800 | 36.8% |\n| 2012 | 600 | 500 | 32.5% |\n| 2013 | 1000 | 2000 | 34.6% |\n| 2014 | 1000 | 2900 | 20.8% |\n| 2015 | 1150 | 3500 | 26.00% |\n| 2016 | 3100 | 1500 | 11.5% |\n| 2017 | 1000 | 4800 | 9.00% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/5bbaba73cb1e730e4d64226fdc26d5ba.png", "anno": "### The effectiveness of sending text messages to wake someone up over the past week\n| | Number of logins-Number of logins | Login activation rate |\n| --- | --- | --- |\n| October 19th, 2015 | 7k | 21.00% |\n| October 20th, 2015 | 48k | 84.00% |\n| October 21st, 2015 | 3k | 14.00% |\n| October 22nd, 2015 | 9k | 42.00% |\n| October 23rd, 2015 | 4k | 15.00% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/eaea8900355cf772e9d0ba9080631dcc.png", "anno": "| | BAU GDP-GDP (100 min) | S12 GDP-GDP (100 min) | BAU CO2-$ CO_{2} $ Cmision | $ S_{12}CO_{2} $-$ CO_{2} $ Cmission |\n| --- | --- | --- | --- | --- |\n| 2020 | 7500 | 7000 | 50000 | 39000 |\n| 2021 | 7900 | 7100 | 50000 | 43000 |\n| 2022 | 8500 | 7500 | 52000 | 49000 |\n| 2023 | 7800 | 6400 | 54000 | 55000 |\n| 2024 | 5000 | 7700 | 54000 | 60000 |\n| 2025 | 9500 | 12600 | 55000 | 56000 |\n| 2026 | 8800 | 10800 | 58000 | 50000 |\n| 2027 | 12600 | 9900 | 51000 | 52000 |\n| 2028 | 7000 | 12300 | 48000 | 54000 |\n| 2029 | 13300 | 11700 | 47000 | 58000 |\n| 2030 | 20500 | 17100 | 57000 | 57000 |\n| 2031 | 21000 | 19100 | 62000 | 57000 |\n| 2032 | 18700 | 16800 | 68000 | 54000 |\n| 2033 | 23000 | 20500 | 65000 | 56000 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/99765916b4ac71b7af23f68a4cec8632.png", "anno": "### Follow-up curve chart\n| | Numbei of transactions | Daily follow-up count | Actual follow-up total |\n| --- | --- | --- | --- |\n| 1st day | 4 | 3 | 7 |\n| 2nd day | 2 | 5 | 10 |\n| 3rd | 5 | 4 | 9 |\n| 4th | 1 | 5 | 6 |\n| 5th | 4 | 4 | 8 |\n| 6th | 3 | 7 | 11 |\n| 7th | 3 | 2 | 5 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/962b43dbda84fa2ceb55779436d92847.png", "anno": "| | A-Number of positive | B-Number of positive | Percent Positive-Percent Positive | % Positive Flu A-Percent Positive | % Positive Flu B-Percent Positive |\n| --- | --- | --- | --- | --- | --- |\n| 40 | 70 | | 2 | 1.5 | 1 |\n| 42 | 100 | 30 | 2.5 | 2 | 1 |\n| 44 | 115 | 65 | 4 | 3 | 1 |\n| 46 | 140 | 85 | 9 | 4.5 | 1.5 |\n| 48 | 180 | 120 | 13 | 7 | 2 |\n| 50 | 415 | 85 | 18 | 12 | 3 |\n| 52 | 575 | 120 | 23 | 16 | 4 |\n| 02 | 925 | 225 | 28 | 18 | 5 |\n| 04 | 1470 | 320 | 30 | 19 | 9 |\n| 06 | 950 | 610 | 30 | 22 | 13 |\n| 08 | 800 | 600 | 28.5 | 23 | 13 |\n| 10 | 475 | 1155 | 30 | 22 | 15 |\n| 12 | 900 | 900 | 34 | 22 | 17 |\n| 14 | 1225 | 925 | 35 | 21 | 18 |\n| 16 | 100 | 2030 | 35 | 22 | 19.5 |\n| 18 | 850 | 1035 | 34.5 | 23 | 20 |\n| 20 | 430 | 1220 | 33.5 | 23.5 | 21 |\n| 22 | 475 | 790 | 30 | 20 | 21.5 |\n| 24 | 345 | 505 | 25 | 17 | 19.5 |\n| 26 | 180 | 505 | 19.5 | 16 | 18 |\n| 28 | 340 | 125 | 17 | 14 | 17 |\n| 30 | 105 | 195 | 17 | 12 | 16 |\n| 32 | 200 | 300 | 16.5 | 10 | 16 |\n| 34 | 255 | 395 | 16 | 7 | 16 |\n| 36 | 250 | 190 | 13 | 5 | 16 |\n| 38 | 215 | 130 | 10 | 4.5 | 13 |\n| 40 | 100 | 75 | 5 | 3.5 | 9 |\n| 42 | 50 | 53 | | | 5 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/742389fc687a53dd539fdf07e4712106.png", "anno": "| | Cash Ending Balance | Operating Cash Flow | Market Cap |\n| --- | --- | --- | --- |\n| 2015 Q1 | 200 | 100 | 0.5 |\n| 2015 Q2 | 530 | 240 | 0.4 |\n| 2015 Q3 | 400 | 150 | 0.5 |\n| 2015 Q4 | 370 | 220 | 2.6 |\n| 2016 Q1 | 740 | 190 | 2.0 |\n| 2016 Q2 | 670 | 280 | 2.4 |\n| 2016 Q3 | 640 | 230 | 2.4 |\n| 2016 Q4 | 590 | 190 | 2.7 |\n| 2017 Q1 | 540 | 250 | 3.5 |\n| 2017 Q2 | 500 | 200 | 2.6 |\n| 2017 Q3 | 400 | 250 | 3.5 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/428fe441c4b569c2261f3963698d702e.png", "anno": "| Time | NH4-N-NH4-N | 0D600-0D600 |\n| --- | --- | --- |\n| 50 | 39 | 0.20 |\n| 100 | 37 | 0.19 |\n| 150 | 33 | 0.17 |\n| 200 | 38 | 0.15 |\n| 250 | 35 | 0.16 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/d1803652bcdb31489c24b072d82405d3.png", "anno": "| | Year-on-Year Cp198 Trade-In sub-item | Year-on-Year Sales volume of Trade-In sub-item | Year-on-Year Retail sales of Trade-In sub-item |\n| --- | --- | --- | --- |\n| 2023-03 | -2% | 1% | -1% |\n| 2023-04 | -2% | -1% | -2% |\n| 2023-05 | -3% | 3% | 0% |\n| 2023-06 | -5% | -2% | -5% |\n| 2023-07 | -3% | 1% | -2% |\n| 2023-08 | -3% | | -3% |\n| 2023-09 | -2% | 8% | 5% |\n| 2023-10 | -4% | 13% | 9% |\n| 2023-11 | -2% | 9% | 7% |\n| 2023-12 | -2% | 10% | 8% |\n| 2024-01 | -2% | 6% | 4% |\n| 2024-02 | -1% | 14% | 12% |\n| 2024-03 | -1% | 11% | 9% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b7878bd53ce976736ba97f129d93fff0.png", "anno": "| | Total sales at RIst | Expected Sales Loss | % Market at Risk |\n| --- | --- | --- | --- |\n| 2005 | 29 | 13 | 3.9% |\n| 2006 | 33 | 22 | 4.2% |\n| 2007 | 52 | 37 | 6.7% |\n| 2008 | 34 | 26 | 4.3% |\n| 2009 | 33 | 23 | 3.9% |\n| 2010 | 58 | 19 | 6.7% |\n| 2011 | 41 | 18 | 5.1% |\n| 2012 | 35 | 34 | 4.2% |\n| 2013 | 44 | 24 | 4.5% |\n| 2014 | 42 | 22 | 4.7% |\n| 2015 | 16 | 20 | 1.4% |\n| 2016 | 18 | 15 | 1.4% |\n| 2017 | 43 | 17 | 3.7% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/4b31e855af15c3141147e1a5392b013d.png", "anno": "### Monthly Income and Expenditure in 12 Months\n| | Monthly Balance | Income | Expenditure |\n| --- | --- | --- | --- |\n| Jan | 2000 | 8000 | 6000 |\n| Feb | 2400 | 8800 | 6800 |\n| Mar | 2600 | 8600 | 6200 |\n| Apr | 2600 | 8800 | 6600 |\n| May | 2400 | 9200 | 7600 |\n| Jun | 400 | 9000 | 8800 |\n| Jul | 1000 | 9500 | 8900 |\n| Aug | 1200 | 9200 | 8500 |\n| Sep | 900 | 9800 | 8900 |\n| Oct | 1200 | 9500 | 8600 |\n| Nov | 400 | 8700 | 8500 |\n| Dec | | | |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/fbd592bbc5f1e92cb21580ede7d34f64.png", "anno": "待答疑", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/ad03778f1a0a74275fd407ed096f33d3.png", "anno": "| year | production-sludge amount($ 10^{4} $ ton/year) | Treatment-sludge amount($ 10^{4} $ ton/year) | Treatment($ 10^{4} $ ton/year) |\n| --- | --- | --- | --- |\n| 2008 | 920 | 850 | 26 |\n| 2009 | 1120 | 1080 | 27 |\n| 2010 | 800 | 790 | 32 |\n| 2011 | 810 | 790 | 30 |\n| 2012 | 770 | 750 | 52 |\n| 2013 | 900 | 830 | 52 |\n| 2014 | 960 | 880 | 56 |\n| 2015 | 1000 | 945 | 65 |\n| 2016 | 1240 | 1150 | 120 |\n| 2017 | 1280 | 1245 | 68 |\n| 2018 | 1190 | 1140 | 84 |\n| 2019 | 1230 | 1160 | 72 |\n| 2020 | 1550 | 1490 | 77 |\n| 2021 | 1520 | 1500 | 29 | \n| 2022 | 1680 | 1660 | 40 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/aa2f962568d47ea0ccc90cd198428e65.png", "anno": "### 2020 Has Been a Dry Year for Bag Area Tech Tpos.\n\n| | Proceeds in $ Billes | Number of ipos |\n| --- | --- | --- |\n| 2009 | $30 | 28% |\n| 2010 | $40 | 31% |\n| 2011 | $230 | 35% |\n| 2012 | $30 | 31% |\n| 2013 | $40 | 32% |\n| 2014 | $10 | 26% |\n| 2015 | $5 | 24% |\n| 2016 | $15 | 26% |\n| 2017 | $170 | 29% |\n| 2018 | $60 | 24% |\n| 2019 | $80 | 25% |\n| 2020 | $110 | 21% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6c739892f7ca7d30a29db8ca6bf402bf.png", "anno": "| | Disclosed Funding ($M) | Deals |\n| --- | --- | --- |\n| 2011 | 27 | 500 |\n| 2012 | 24 | 540 |\n| 2013 | 30 | 460 |\n| 2014 | 21 | 440 |\n| 2015 | 36 | 500 |\n| 2016 | 39 | 460 |\n| 2017 | 24 | 560 |\n| 2018 | 54 | 480 |\n| 2019 | 34 | 340 |\n| 2020 | 23 | 410 |\n| 2021 | 40 | 450 |\n| 2022 | 56 | 380 |\n| 2023 | 60 | 300 |\n| 2024 | 62 | 560 |\n| 2025 | 23 | 340 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/79988176fd13e294da85a06ca6c9c157.png", "anno": "| | Liberalising - Harmful (L) | Harmful (R) | Liberalising (R) |\n| --- | --- | --- | --- |\n| 2008 | -20 | 390 | 190 |\n| 2009 | -17 | 400 | 200 |\n| 2010 | -11 | 530 | 220 |\n| 2011 | -14 | 430 | 280 |\n| 2012 | -27 | 640 | 300 |\n| 2013 | -22 | 660 | 390 |\n| 2014 | -26 | 810 | 400 |\n| 2015 | -23 | 800 | 300 |\n| 2016 | -39 | 1010 | 410 |\n| 2017 | -43 | 1190 | 400 |\n| 2018 | -49 | 1170 | 620 |\n| 2019 | -36 | 1380 | 820 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/ea2e45baf36daea98d41720915dd43f4.png", "anno": "### Monthly Sales Trends 2024\n\n| | BAS | LPS |\n| --- | --- | --- |\n| 1 | 270 | 420 |\n| 2 | 240 | 480 |\n| 3 | 230 | 370 |\n| 4 | 250 | 320 |\n| 5 | 180 | 420 |\n| 6 | 225 | 520 |\n| 7 | 250 | 470 |\n| 8 | 195 | 410 |\n| 9 | 235 | 550 |\n| 10 | 235 | 460 |\n| 11 | 195 | 350 |\n| 12 | 200 | 410 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6366bde50c4c1621ac02b1c8a8813e0f.png", "anno": "### Data comparison analysis chart\n\n| | | |\n| --- | --- | --- |\n| Month | 30 | 75 |\n| Numerical Value | 50 | 100 |\n| first | 40 | 115 |\n| four | 30 | 87 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a5011e081a87dcfc0cf8d7b0ffab99c8.png", "anno": "### Financial situation from 2013 to 2018\n\n| | Operating income-Revenue of one hundred million yuan | Profit |\n| --- | --- | --- |\n| 2013 | 44.79 | 4.85 |\n| 2014 | 69.5 | 7.26 |\n| 2015 | 52.3 | 3.43 |\n| 2016 | 83.36 | 9.48 |\n| 2017 | 102.45 | 12.86 |\n| 2018 | 143.1 | 17.30 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/d3883b9d2ea044cadd1c0efb39364102.png", "anno": "### Simple Combined Line Chart\n| Month | Sales(USD) | Growth(%) |\n| --- | --- | --- |\n| 1 | 1000 | 5% |\n| 2 | 1200 | 10% |\n| 3 | 1500 | 15% |\n| 4 | 1800 | 20% |\n| 5 | 2000 | 25% |\n| 6 | 2200 | 30% |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/444c459d7ee8400cf29811f4704399f1.png", "anno": "| Months | Growth Rate-Sales |\n| --- | --- |\n| Man | 37 |\n| Fell | 39 |\n| May | 44 |\n| Jet | 48 |\n| Jun | 52 |\n| Mey | 62 |\n| Jog | 65 |\n| Aug | 68 |\n| Mon | 83 |\n| Nay | 89 |", "chart_type": "组合图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/dfd478c3c01aa417a848360f31226c28.png", "anno": "| | |\n| --- | --- |\n| 餐饮旅游 | 6.8 |\n| 食品饮料 | 6.3 |\n| 国防军工 | 5.9 |\n| 传媒 | 5.7 |\n| 商贸零售 | 5.6 |\n| 计算机 | 5.3 |\n| 钢铁 | 4.2 |\n| 煤炭 | 4.7 |\n| 有色金属 | 4.3 |\n| 建材 | 3.8 |\n| 银行 | 3.7 |\n| 纺织服装 | 3.5 |\n| 医药 | 3.4 |\n| 建筑 | 3.2 |\n| 机械 | 3.1 |\n| 电子元器件 | 3 |\n| 石油石化 | 2.9 |\n| 通信 | 2.8 |\n| 汽车 | 2.5 |\n| 家电 | 2.4 |\n| 交通运输 | 2.3 |\n| 电力及公用事业 | 2.2 |\n| 基础化工 | 2.1 |\n| 农林牧渔 | 2 |\n| 电力设备 | 1.7 |\n| 房地产 | 1.7 |\n| 轻工制造 | 1.1 |\n| 非银行金融 | 0.4 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3476de5c4dfa6a5965ae281de1140f75.png", "anno": "| | |\n| --- | --- |\n| 北京 | 1.1% |\n| 天津 | 2.0% |\n| 石家庄 | 3.7% |\n| 唐山 | 3.4% |\n| 邯郸 | 3.8% |\n| 邢台 | 3.4% |\n| 保定 | 3.8% |\n| 沧州 | 3.5% |\n| 廊坊 | 1.8% |\n| 衡水 | 2.7% |\n| 徐州 | 3.9% |\n| 连云港 | 2.2% |\n| 淮安 | 2.5% |\n| 宿迁 | 2.5% |\n| 蚌埠 | 1.9% |\n| 淮南 | 0.9% |\n| 淮北 | 0.7% |\n| 阜阳 | 2.4% |\n| 宿州 | 2.8% |\n| 亳州 | 2.0% |\n| 济南 | 1.5% |\n| 东营 | 1.1% |\n| 潍坊 | 4.1% |\n| 济宁 | 3.2% |\n| 德州 | 2.8% |\n| 聊城 | 2.8% |\n| 滨州 | 1.6% |\n| 菏泽 | 3.4% |\n| 郑州 | 1.6% |\n| 开封 | 2.0% |\n| 安阳 | 2.6% |\n| 鹤壁 | 0.5% |\n| 新乡 | 2.9% |\n| 焦作 | 0.7% |\n| 濮阳 | 1.6% |\n| 许昌 | 1.8% |\n| 漯河 | 1.0% |\n| 商丘 | 4.6% |\n| 周口 | 4.7% |\n| 驻马店 | 4.1% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a62e93ea63c984f4a6f5e143aedab391.png", "anno": "| | |\n| --- | --- |\n| 肺癌 | 107 |\n| 结/直肠癌 | 53 |\n| 甲状腺癌 | 47 |\n| 肝癌 | 37 |\n| 胃癌 | 36 |\n| 乳腺癌 | 36 |\n| 食管癌 | 24 |\n| 子宫颈癌 | 16 |\n| 前列腺癌 | 14 |\n| 胰腺癌 | 12 |\n| 膀胱癌 | 10 |\n| 脑癌 | 9 |\n| 淋巴瘤 | 9 |\n| 白血病 | 9 |\n| 子宫体癌 | 8 |\n| 肾癌 | 8 |\n| 口腔癌 | 6 |\n| 卵巢癌 | 5 |\n| 鼻咽癌 | 5 |\n| 胆囊癌 | 4 |\n| 喉癌 | 3 |\n| 皮肤黑色素瘤 | 3 |\n| 睾丸癌 | 2 |\n| 其他癌 | 33 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/75959d233712faa286f6cd8caea525a3.png", "anno": "| | |\n| --- | --- |\n| 北京 | 0.002 |\n| 天津 | 0.004 |\n| 河北 | 0.024 |\n| 辽宁 | 0.068 |\n| 上海 | 0.002 |\n| 江苏 | 0.022 |\n| 浙江 | 0.002 |\n| 福建 | 0.012 |\n| 山东 | 0.006 |\n| 广东 | 0.002 |\n| 海南 | 0.014 |\n| 山西 | 0.014 |\n| 吉林 | 0.070 |\n| 黑龙江 | 0.076 |\n| 安徽 | 0.010 |\n| 江西 | 0.018 |\n| 河南 | 0.016 |\n| 湖北 | 0.014 |\n| 湖南 | 0.017 |\n| 四川 | 0.012 |\n| 重庆 | 0.012 |\n| 贵州 | 0.010 |\n| 云南 | 0.011 |\n| 陕西 | 0.014 |\n| 甘肃 | 0.012 |\n| 青海 | 0.004 |\n| 宁夏 | 0.005 |\n| 新疆 | 0.108 |\n| 内蒙古 | 0.106 |\n| 广西 | 0.011 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/be1012a40911331812a84de9dab09baf.png", "anno": "| | |\n| --- | --- |\n| 长沙 | 26 |\n| 上海 | 23 |\n| 乌鲁木齐 | 10 |\n| 兰州 | 15 |\n| 北京 | 22 |\n| 南京 | 25 |\n| 南宁 | 25 |\n| 南昌 | 25 |\n| 合肥 | 24 |\n| 呼和浩特 | 17 |\n| 哈尔滨 | 14 |\n| 天津 | 24 |\n| 太原 | 17 |\n| 广州 | 25 |\n| 成都 | 19 |\n| 拉萨 | 7 |\n| 昆明 | 14 |\n| 杭州 | 24 |\n| 武汉 | 25 |\n| 沈阳 | 18 |\n| 济南 | 23 |\n| 海口 | 25 |\n| 石家庄 | 21 |\n| 福州 | 24 |\n| 西宁 | 7 |\n| 西安 | 19 |\n| 贵阳 | 19 |\n| 郑州 | 24 |\n| 重庆 | 24 |\n| 银川 | 18 |\n| 长春 | 17 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/c792713978d44f7b399542c0ff3c4743.png", "anno": "### COOC 软件绘制数据分析\n| | |\n| --- | --- |\n| 机制 | 19 |\n| 演化 | 8 |\n| 创新 | 8 |\n| 图谱 | 8 |\n| 模式 | 8 |\n| 网络 | 8 |\n| 阅读 | 8 |\n| 学术 | 8 |\n| 健康 | 8 |\n| 行为 | 9 |\n| 数据 | 9 |\n| 体系 | 9 |\n| 路径 | 9 |\n| 数字 | 9 |\n| 建设 | 9 |\n| 中国 | 9 |\n| 媒体 | 9 |\n| 档案 | 10 |\n| 大数据 | 11 |\n| 文献 | 11 |\n| 视角 | 13 |\n| 服务 | 14 |\n| 构建 | 15 |\n| 图书馆 | 15 |\n| 用户 | 17 |\n| 知识 | 18 |\n| 整理 | 19 |\n| 信息 | 19 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/924d56f30fd5ad1e87aa49d840a2231d.png", "anno": "### car_type\n\n| | 帕萨特 | 迈腾 | 凯美瑞 | 亚洲龙 | 天籁 | 雅阁 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 舒适性 | 85 | 87 | 80 | 85 | 85 | 75 |\n| 操控 | 90 | 95 | 80 | 75 | 85 | 88 |\n| 安全 | 70 | 75 | 85 | 85 | 80 | 85 |\n| 性能 | 90 | 95 | 70 | 75 | 80 | 82 |\n| 油耗 | 75 | 72 | 95 | 90 | 85 | 90 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/cbe7db381168691e7369b6565809cfa8.png", "anno": "| | 2022年净息差 | 2023年净息差 |\n| --- | --- | --- |\n| 工商银行 | 1.90 | 1.63 |\n| 建设银行 | 2.00 | 1.68 |\n| 农业银行 | 1.85 | 1.62 |\n| 中国银行 | 1.70 | 1.58 |\n| 邮储银行 | 2.20 | 2.00 |\n| 交通银行 | 1.50 | 1.30 |\n| 招商银行 | 2.45 | 2.17 |\n| 平安银行 | 2.75 | 2.45 |\n| 中信银行 | 1.96 | 1.75 |\n| 兴业银行 | 2.10 | 1.92 |\n| 光大银行 | 2.03 | 1.76 |\n| 华夏银行 | 2.10 | 1.83 |\n| 浦发银行 | 1.75 | 1.53 |\n| 民生银行 | 1.60 | 1.47 |\n| 浙商银行 | 2.20 | 2.00 |\n| 北京银行 | 1.75 | 1.55 |\n| 南京银行 | 2.20 | 2.02 |\n| 江苏银行 | 2.30 | 2.00 |\n| 宁波银行 | 2.05 | 1.90 |\n| 长沙银行 | 2.40 | 2.30 |\n| 贵阳银行 | 2.10 | 2.25 |\n| 郑州银行 | 2.06 | 2.27 |\n| 兰州银行 | 1.60 | 1.50 |\n| 青岛银行 | 1.75 | 1.85 |\n| 重庆银行 | 1.75 | 1.55 |\n| 成都银行 | 2.05 | 1.80 |\n| 苏州银行 | 1.85 | 1.65 |\n| 西安银行 | 1.65 | 1.40 |\n| 杭州银行 | 1.70 | 1.50 |\n| 齐鲁银行 | 1.93 | 1.70 |\n| 厦门银行 | 1.50 | 1.27 |\n| 上海银行 | 1.30 | 1.53 |\n| 常熟银行 | 3.00 | 2.80 |\n| 张家港行 | 2.25 | 2.00 |\n| 青农商行 | 2.00 | 1.80 |\n| 江阴银行 | 2.15 | 2.00 |\n| 紫金银行 | 1.80 | 1.60 |\n| 渝农商行 | 1.97 | 1.70 |\n| 沪农商行 | 1.85 | 1.70 |\n| 苏农银行 | 2.00 | 1.77 |\n| 无锡银行 | 1.85 | 1.65 |\n| 瑞丰银行 | 2.20 | 1.73 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/e8acb4643f9dbd12796a6d0baaa8ba33.png", "anno": "| | 全国水平 | 2015目标增速 | 名义增速 | 实际增速 |\n| --- | --- | --- | --- | --- |\n| 北京 | 7% | 7% | 8.5% | 7% |\n| 天津 | 7% | 7% | 16.6% | 9.5% |\n| 河北 | 7% | 7% | 11% | 7% |\n| 山西 | 7% | 6.7% | -2% | 2.5% |\n| 内蒙古 | 7% | 8.2% | 3.8% | 7% |\n| 辽宁 | 7% | 6% | 1% | 1.5% |\n| 吉林 | 7% | 6.6% | 4.1% | 5.8% |\n| 黑龙江 | 7% | 6% | -3.5% | 5% |\n| 上海 | 7% | 7% | 9.8% | 6.7% |\n| 江苏 | 7% | 8% | 13.5% | 8.6% |\n| 浙江 | 7% | 7.5% | 7.1% | 8.6% |\n| 安徽 | 7% | 8.6% | 7% | 8.7% |\n| 福建 | 7% | 10% | 7.6% | 8.2% |\n| 江西 | 7% | 8.7% | 15.5% | 8.7% |\n| 山东 | 7% | 8.4% | 7.8% | 8.2% |\n| 河南 | 7% | 8.2% | 4% | 7.3% |\n| 湖北 | 7% | 8.8% | 7% | 8.6% |\n| 湖南 | 7% | 8.3% | 7% | 8.3% |\n| 广东 | 7% | 7.5% | 9.6% | 7.4% |\n| 广西 | 7% | 7.7% | 6.8% | 7.4% |\n| 海南 | 7% | 7.7% | 3.8% | 5% |\n| 重庆 | 7% | 10.1% | 11% | 10.7% |\n| 四川 | 7% | 7.6% | 6.6% | 7.3% |\n| 贵州 | 7% | 10% | 17.3% | 10.4% |\n| 云南 | 7% | 8.3% | 6.7% | 7.2% |\n| 西藏 | 7% | 11.5% | 15.8% | 10% |\n| 陕西 | 7% | 10.1% | 4% | 7% |\n| 甘肃 | 7% | 8.6% | 2.9% | 8.3% |\n| 青海 | 7% | 8.5% | 9.6% | 7.8% |\n| 宁夏 | 7% | 8.5% | 4% | 7% |\n| 新疆 | 7% | 8.9% | -7% | 7% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b0d8c66e2205b968b8bf4625e01caf05.png", "anno": "### 2KHz 声压分布\n\n| | 普通音箱-2KHz | 定向音箱-2KHz |\n| --- | --- | --- |\n| 0° | 85.0 | 97.0 |\n| 15° | 81.0 | 82.0 |\n| 30° | 77.0 | 74.0 |\n| 45° | 76.0 | 74.0 |\n| 60° | 77.0 | 72.0 |\n| 75° | 75.0 | 75.0 |\n| 90° | 73.0 | 72.9 |\n| 105° | 72.0 | 69.0 |\n| 120° | 73.0 | 68.5 |\n| 135° | 71.0 | 60.5 |\n| 150° | 73.5 | 65.0 |\n| 165° | 72.5 | 69.0 |\n| 180° | 75.0 | 75.0 |\n| -165° | 77.0 | 70.0 |\n| -150° | 79.0 | 68.0 |\n| -135° | 80.0 | 65.0 |\n| -120° | 80.0 | 67.0 |\n| -105° | 83.0 | 70.0 |\n| -90° | 78.0 | 72.0 |\n| -75° | 80.0 | 75.0 |\n| -60° | 83.0 | 75.0 |\n| -45° | 78.0 | 61.0 |\n| -30° | 82.0 | 74.0 |\n| -15° | 85.0 | 82.0 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/61e12f90c294e49cbc7af05c9b143ff0.png", "anno": "| | |\n| --- | --- |\n| 全国均值 | 8.5 |\n| 北京 | 8.4 |\n| 天津 | 8.3 |\n| 河北 | 8.1 |\n| 山西 | 7.8 |\n| 内蒙古 | 7.8 |\n| 辽宁 | 10.3 |\n| 吉林 | 8.5 |\n| 黑龙江 | 8.5 |\n| 上海 | 10 |\n| 江苏 | 10.7 |\n| 浙江 | 9.7 |\n| 安徽 | 10.1 |\n| 福建 | 8.1 |\n| 江西 | 7.9 |\n| 山东 | 9.8 |\n| 河南 | 8.4 |\n| 湖北 | 9.2 |\n| 湖南 | 9.7 |\n| 广东 | 5.7 |\n| 广西 | 9.4 |\n| 海南 | 7.5 |\n| 重庆 | 11.8 |\n| 四川 | 11.6 |\n| 贵州 | 8.9 |\n| 云南 | 7.7 |\n| 西藏 | 5.1 |\n| 陕西 | 8 |\n| 甘肃 | 7.8 |\n| 青海 | 6.1 |\n| 宁夏 | 6.4 |\n| 新疆 | 6.4 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/dd9959eea3f24ce983c3b529931fcc6e.png", "anno": "| | 19-24岁，单身，专科以下学历 | 19-24岁，单身，本科及以上学历 | 在校大学生 |\n| --- | --- | --- | --- |\n| 艾格 | 1.56 | 1.72 | 1.67 |\n| 美特斯邦威 | 1.64 | 1.34 | 1.50 |\n| 以纯 | 1.55 | 1.30 | 1.44 |\n| ONLY | 1.47 | 1.47 | 1.44 |\n| 真维斯 | 1.42 | 1.36 | 1.36 |\n| 耐克 | 1.09 | 1.15 | 1.25 |\n| 李宁 | 1.08 | 1.00 | 1.10 |\n| 阿迪达斯 | 1.05 | 1.08 | 1.14 |\n| 班尼路 | 0.95 | 1.03 | 0.99 |\n| Vero Moda | 0.95 | 1.20 | 1.00 |\n| 森马 | 1.10 | 0.98 | 1.12 |\n| 佐丹奴 | 0.82 | 0.90 | 0.80 |\n| 安踏 | 0.98 | 0.82 | 0.85 |\n| ESPRIT | 0.61 | 0.78 | 0.68 |\n| 背靠背 | 0.70 | 0.73 | 0.62 |\n| 依恋 | 0.62 | 0.79 | 0.88 |\n| 阿依莲 | 0.74 | 0.68 | 0.75 |\n| 波司登 | 0.62 | 0.55 | 0.50 |\n| 歌莉娅 | 0.55 | 0.72 | 0.68 |\n| 淑女屋 | 0.60 | 0.74 | 0.60 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/9641245b0285ff6fa97f9fa1efb30736.png", "anno": "| | 0-14岁 | 60岁以上 |\n| --- | --- | --- |\n| 茂名 | 27.07 | 16.8 |\n| 湛江 | 26.2 | 16.5 |\n| 汕尾 | 25.3 | 14.8 |\n| 揭阳 | 25 | 16.8 |\n| 河源 | 24.8 | 17.2 |\n| 云浮 | 24 | 17.4 |\n| 梅州 | 23 | 18 |\n| 清远 | 22.8 | 14.3 |\n| 阳江 | 22.5 | 15.5 |\n| 汕头 | 22.3 | 15.1 |\n| 肇庆 | 21.58 | 15.6 |\n| 韶关 | 20.84 | 16.02 |\n| 惠州 | 20.31 | 9.87 |\n| 潮州 | 19.17 | 19.17 |\n| 江门 | 16.02 | 18.26 |\n| 珠海 | 15.8 | 9.88 |\n| 中山 | 15.5 | 9.21 |\n| 深圳 | 15.11 | 5.36 |\n| 佛山 | 15 | 9.86 |\n| 广州 | 13.87 | 11.41 |\n| 东莞 | 13 | 5.36 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/91427c42cffce15112d1be32600bf28e.png", "anno": "| | 2016H1 | 2018H1 |\n| --- | --- | --- |\n| 银行 | 93 | 93 |\n| 非银金融 | 85 | 85 |\n| 房地产 | 78 | 80 |\n| 建筑装饰 | 79 | 78 |\n| 钢铁 | 67 | 61 |\n| 公用事业 | 64 | 65 |\n| 国防军工 | 63 | 53 |\n| 家用电器 | 62 | 61 |\n| 交通运输 | 60 | 59 |\n| 汽车 | 59 | 59 |\n| 通信 | 58 | 48 |\n| 有色金属 | 58 | 57 |\n| 电气设备 | 58 | 57 |\n| 机械设备 | 55 | 63 |\n| 轻工制造 | 54 | 51 |\n| 建筑材料 | 54 | 46 |\n| 化工 | 53 | 50 |\n| 采掘 | 50 | 49 |\n| 纺织服装 | 47 | 46 |\n| 电子 | 46 | 54 |\n| 医药生物 | 45 | 45 |\n| 农林牧渔 | 42 | 48 |\n| 传媒 | 39 | 39 |\n| 计算机 | 39 | 40 |\n| 食品饮料 | 34 | 34 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/076c206b005c00c0983fe96047fac9a4.png", "anno": "| | |\n| --- | --- |\n| 交通线路 | 5.3 |\n| 交通状况 | 6 |\n| 幼儿园知名度 | 5.2 |\n| 小学知名度 | 6 |\n| 中学教育设施 | 7 |\n| 居民文化程度 | 6.1 |\n| 居民综合素质 | 6 |\n| 银行金融服务 | 5.2 |\n| 邮政服务 | 4.2 |\n| 商业发达程度 | 6 |\n| 外出就餐便利程度 | 6 |\n| 日常饮食服务 | 7.1 |\n| 娱乐设施 | 6 |\n| 体育活动空间 | 8 |\n| 健身设备 | 8.1 |\n| 区域绿化 | 9.1 |\n| 休闲场地 | 10 |\n| 医疗条件 | 6 |\n| 卫生状况 | 7 |\n| 日常家政服务 | 6.1 |\n| 人际关系 | 9.2 |\n| 社会治安 | 8.1 |\n| 水电等能源供应 | 8 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/cbf5ea8f54fe41b7360101b76221e7da.png", "anno": "### 北京各行业公众号均发布量与均阅读\n\n| 行业 | 单个账号均发布量 | 单篇文章均阅读(百) |\n| --- | --- | --- |\n| 新闻资讯 | 64 | 120 |\n| 时尚生活 | 11 | 30 |\n| 旅游休闲 | 12 | 29 |\n| 民生服务 | 13 | 21 |\n| 传统企业 | 9 | 20 |\n| 文化教育 | 20 | 10 |\n| 政府机构 | 15 | 8 |\n| 杂类百科 | 10 | 8 |\n| 竞技体育 | 11 | 8 |\n| 民间组织 | 14 | 7 |\n| 金融财富 | 16 | 6 |\n| 地产房市 | 10 | 5 |\n| 交通运输 | 14 | 6 |\n| 娱乐八卦 | 8 | 5 |\n| 医疗健康 | 14 | 5 |\n| 移民留学 | 22 | 5 |\n| 电子商务 | 6 | 5 |\n| 电信运营 | 7 | 6 |\n| 能源化工 | 20 | 3 |\n| 科学技术 | 17 | 1 |\n| 汽车行业 | 33 | 0 |\n| 宗教信仰 | 38 | 0 |\n| 农林渔木 | 0 | 1 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1efe1bde4d2f7472950850b1d8a61614.png", "anno": "| | |\n| --- | --- |\n| 上海 | 2015.0 |\n| 天津 | 2017.8 |\n| 北京 | 2017.9 |\n| 辽宁 | 2021.0 |\n| 江苏 | 2021.8 |\n| 吉林 | 2022.8 |\n| 浙江 | 2022.8 |\n| 黑龙江 | 2023.2 |\n| 湖北 | 2023.6 |\n| 内蒙古 | 2023.9 |\n| 广东 | 2024.4 |\n| 山东 | 2024.8 |\n| 陕西 | 2025.0 |\n| 福建 | 2025.2 |\n| 四川 | 2025.3 |\n| 山西 | 2025.8 |\n| 重庆 | 2026.0 |\n| 湖南 | 2026.2 |\n| 新疆 | 2026.5 |\n| 河北 | 2026.6 |\n| 河南 | 2026.8 |\n| 宁夏 | 2026.8 |\n| 青海 | 2027.0 |\n| 海南 | 2027.2 |\n| 江西 | 2027.5 |\n| 安徽 | 2027.8 |\n| 甘肃 | 2028.0 |\n| 云南 | 2028.3 |\n| 广西 | 2028.4 |\n| 贵州 | 2029.0 |\n| 西藏 | 2030.0 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/8d30ae1dd0a2af69fafa54e9a3335595.png", "anno": "### 2020中国教育App用户最常安装视频应用TOP20\n\n| | |\n| --- | --- |\n| 抖音短视频 | 72% |\n| 腾讯视频 | 58% |\n| 爱奇艺 | 55% |\n| 快手 | 46% |\n| 优酷 | 37% |\n| 哔哩哔哩动画 | 28% |\n| 快手(极速版) | 23% |\n| 西瓜视频 | 21% |\n| 腾讯微视 | 17% |\n| 优哩视频 | 16% |\n| 芒果TV | 16% |\n| 好看视频 | 15% |\n| 华为视频(优酷版) | 12% |\n| 小米视频 | 10.5% |\n| 火山直播 | 10% |\n| 韩剧TV | 9% |\n| 影视大全 | 8% |\n| PPS影音(X86版本) | 7% |\n| 人人美剧 | 7% |\n| 虎牙直播 | 6.5% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/02d817654dc7a6480c99b8a077c8ad13.png", "anno": "| | James Harden | Kevin Durant | Kyrie Irving | Luka Doncic | Stephen Curry |\n| --- | --- | --- | --- | --- | --- |\n| 平均篮板 | 35% | 65% | 30% | 65% | 30% |\n| 平均助攻 | 85% | 60% | 60% | 60% | 60% |\n| 三分球. | 75% | 70% | 75% | 70% | 78% |\n| 罚球. | 75% | 75% | 100% | 40% | 50% |\n| 抢断 | 25% | 40% | 80% | 80% | 55% |\n| 盖帽 | 25% | 15% | 50% | 25% | 20% |\n| 失误 | 60% | 80% | 30% | 60% | 35% |\n| 平均得分 | 30% | 65% | 45% | 100% | 75% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/485d2fa9526b7a6b28d169e42fe894ec.png", "anno": "| | 2017年4月 | 2016年1-4月 | 2017年1-4月 |\n| --- | --- | --- | --- |\n| 山东 | 400 | 1290 | 1380 |\n| 河南 | 470 | 1180 | 1240 |\n| 云南 | 330 | 1140 | 1180 |\n| 河北 | 390 | 900 | 1150 |\n| 江苏 | 300 | 930 | 1000 |\n| 四川 | 300 | 900 | 900 |\n| 广东 | 240 | 800 | 900 |\n| 安徽 | 280 | 800 | 900 |\n| 山西 | 250 | 690 | 850 |\n| 浙江 | 220 | 750 | 820 |\n| 甘肃 | 210 | 710 | 800 |\n| 陕西 | 240 | 700 | 780 |\n| 新疆 | 230 | 530 | 780 |\n| 湖北 | 230 | 830 | 770 |\n| 福建 | 220 | 750 | 770 |\n| 广西 | 210 | 760 | 760 |\n| 辽宁 | 200 | 430 | 720 |\n| 贵州 | 240 | 640 | 700 |\n| 重庆 | 200 | 470 | 680 |\n| 内蒙古 | 200 | 600 | 670 |\n| 湖南 | 190 | 680 | 660 |\n| 西藏 | 180 | 420 | 640 |\n| 吉林 | 170 | 410 | 610 |\n| 北京 | 160 | 580 | 600 |\n| 江西 | 160 | 610 | 590 |\n| 宁夏 | 160 | 380 | 580 |\n| 青海 | 160 | 290 | 540 |\n| 天津 | 150 | 250 | 500 |\n| 上海 | 140 | 300 | 500 |\n| 黑龙江 | 140 | 480 | 480 |\n| 海南 | 100 | 400 | 400 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/8ef8e09a1abd46ea25e81cd1689a2383.png", "anno": "| | CS | SM | ML |\n| --- | --- | --- | --- |\n| 用友网络 | 3.7 | -0.5 | -4.5 |\n| 恒生电子 | 3.1 | 0 | -4 |\n| 同花顺 | 0.1 | -3 | -7 |\n| 广联达 | 2 | 0.8 | 0.1 |\n| 科大讯飞 | 2 | -1.5 | -3.9 |\n| 石基信息 | 1.95 | -1 | -3 |\n| 紫光股份 | 1.3 | -0.9 | -5 |\n| 宝信软件 | 3.3 | 0.9 | 4 |\n| 海航科技 | 1.5 | -2.1 | -3.2 |\n| 佳都科技 | 1.8 | -1.2 | -2.5 |\n| 东软集团 | 1.2 | -2.1 | -2.2 |\n| 金证股份 | 1 | -3.2 | -5.9 |\n| 华胜天成 | 2.8 | -2.7 | -3 |\n| 中科创达 | 2.6 | -1 | 3.2 |\n| 旋极信息 | 1.9 | 3.8 | 3 |\n| 华宇软件 | 1.5 | -1.9 | -4.6 |\n| 卫宁健康 | 1.5 | -2.1 | -1 |\n| 易华录 | 1 | -3 | -6.5 |\n| 捷成股份 | 6 | -2.9 | 0.8 |\n| 万达信息 | 0 | 2.7 | 6.0 |\n| 东方国信 | -2 | -3.2 | -0.7 |\n| 立思辰 | 2.5 | -3.3 | -0.8 |\n| 神州泰岳 | 2 | 0 | -2.2 |\n| 杰赛科技 | 1.9 | -0.1 | 1 |\n| 启明星辰 | 0.9 | -3 | -3.5 |\n| 千方科技 | 1.8 | -2 | -4.6 |\n| 太极股份 | 1.8 | -2 | -2.5 |\n| 卫士通 | 1.4 | -0.4 | -3.9 |\n| 二三四五 | 1.2 | -0.8 | -1.2 |\n| 新大陆 | 2.1 | -1.4 | -3 |\n| 常山北明 | 1.9 | -4.8 | -7.8 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3f9646f8aa1d3c33022b2535fccea9ab.png", "anno": "| | |\n| --- | --- |\n| 肽类 | 62.5 |\n| 多核苷酸序列 | 41 |\n| 抗原 | 39 |\n| 药物筛选 | 31 |\n| 抗体 | 28 |\n| 酶联免疫吸附 | 25 |\n| 免疫检测 | 20 |\n| 寡核苷酸 | 17 |\n| 病毒重组 | 17 |\n| 荧光性 | 16 |\n| 病毒基因转移系统 | 13 |\n| 基于PCR的技术 | 13 |\n| 向量表达 | 13 |\n| DNA杂交 | 11 |\n| 蛋白质融合 | 11 |\n| 诊断方法 | 10 |\n| 分析方法 | 9 |\n| 抗原呈递系统 | 9 |\n| 药物组合 | 9 |\n| 肽合成 | 9 |\n| 蛋白结合 | 9 |\n| 蛋白重组 | 9 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/ce58dcbec64f54d9c38fde4a654f1178.png", "anno": "### 分类标签\n| | CS | SM | ML |\n| --- | --- | --- | --- |\n| 深天马A | 2.8 | 0 | -1 |\n| 风华高科 | 10 | 5 | 0.1 |\n| 中科三环 | 2.6 | -0.7 | -2.2 |\n| 横店东磁 | 0 | -0.2 | -2 |\n| 顺络电子 | 1.2 | -0.6 | -2.3 |\n| 合力泰 | 1.8 | -2.1 | -6 |\n| 水晶光电 | 1.8 | -3.7 | -6.8 |\n| 维信诺 | 1.8 | -1 | 1.8 |\n| 崇达技术 | 2.1 | -2.2 | -4.3 |\n| 盈趣科技 | 0.1 | -3.3 | -4.3 |\n| 长信科技 | 8 | -0.6 | -4.3 |\n| 长盈精密 | 4 | -2.7 | -4.8 |\n| 欣旺达 | 3.3 | -4 | -5 |\n| 景嘉微 | 1.7 | 2.0 | -2 |\n| 科力远 | 0 | -3.7 | -3.9 |\n| 法拉电子 | 4.2 | -1.3 | -2.1 |\n| 彩虹股份 | 1.9 | -0.2 | -1.8 |\n| 景旺电子 | 1.8 | -2.1 | -3.8 |\n| 依顿电子 | 1.3 | -1.9 | -3.8 |\n| TCL科技 | 1.2 | -3.8 | -1.0 |\n| 京东方A | 1.7 | -2 | -4 |\n| 中航光电 | 0.9 | 2.0 | 1.9 |\n| 歌尔股份 | 10.3 | 5.6 | 4.0 |\n| 欧菲光 | 3.5 | -2.2 | -4 |\n| 沪电股份 | 2.1 | -1.7 | -4.6 |\n| 立讯精密 | 4.2 | -0.1 | 0.3 |\n| 视源股份 | 1.1 | 0 | 0.9 |\n| 深南电路 | 1.1 | -3.9 | -6.7 |\n| 鹏鼎控股 | 4.1 | -1.9 | -3.9 |\n| 三环集团 | 4.1 | -0.1 | -0.7 |\n| 蓝思科技 | 7.5 | -1.6 | -2.0 |\n| 生益科技 | 3.7 | -3 | -6 |\n| 环旭电子 | 3.9 | -1.9 | -5.6 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0460e591df46d49ec4f1fd1bd279f6a1.png", "anno": "### COOC 软件绘制\n\n| | |\n| --- | --- |\n| 机制 | 19 |\n| 演化 | 0 |\n| 创新 | 0 |\n| 图谱 | 0 |\n| 模式 | 0 |\n| 网络 | 0 |\n| 阅读 | 0 |\n| 学术 | 0 |\n| 健康 | 0 |\n| 行为 | 5 |\n| 数据 | 5 |\n| 体系 | 5 |\n| 路径 | 5 |\n| 数字 | 5 |\n| 建设 | 5 |\n| 中国 | 5 |\n| 媒体 | 5 |\n| 档案 | 10 |\n| 大数据 | 11 |\n| 文献 | 11 |\n| 视角 | 13 |\n| 服务 | 14 |\n| 构建 | 15 |\n| 图书馆 | 15 |\n| 用户 | 17 |\n| 知识 | 18 |\n| 整理 | 19 |\n| 信息 | 19 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a739a300fe2e195fb86109447fb6437d.png", "anno": "### 2020年建成规模(千万亩)\n\n| | 2020年建成规模-千万亩 |\n| --- | --- |\n| 黑龙江 | 6.5 |\n| 河南 | 6.3 |\n| 山东 | 6.0 |\n| 河北 | 4.7 |\n| 安徽 | 4.6 |\n| 四川 | 4.4 |\n| 江苏 | 4.2 |\n| 内蒙古 | 3.7 |\n| 湖北 | 3.6 |\n| 湖南 | 3.4 |\n| 江西 | 2.9 |\n| 吉林 | 2.8 |\n| 广西 | 2.8 |\n| 新疆 | 2.7 |\n| 广东 | 2.6 |\n| 云南 | 2.5 |\n| 辽宁 | 2.3 |\n| 浙江 | 2.0 |\n| 陕西 | 2.0 |\n| 山西 | 1.9 |\n| 贵州 | 1.7 |\n| 甘肃 | 1.5 |\n| 福建 | 1.3 |\n| 重庆 | 1.2 |\n| 宁夏 | 1.0 |\n| 海南 | 0.7 |\n| 青海 | 0.3 |\n| 天津 | 0.2 |\n| 西藏 | 0.2 |\n| 上海 | 0.2 |\n| 北京 | 0.2 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/51dddea69f5263342577f57119cdf863.png", "anno": "### 国企在绝大多数行业中的市值占比低于2013年\n#### 除证券等极个别行业外，国企目前在行业中的市值占比相比2013年几乎是全面下降\n\n| 行业 | 2013年-国企在该行业中市值占比 | 2016年-国企在该行业中市值占比 |\n| --- | --- | --- |\n| 电力 | 97% | 97% |\n| 石油石化 | 95% | 94% |\n| 港口航运 | 95% | 92% |\n| 钢铁 | 92% | 89% |\n| 航空机场 | 100% | 84% |\n| 煤炭 | 94% | 83% |\n| 公路铁路物流 | 88% | 77% |\n| 建筑装饰 | 70% | 70% |\n| 证券 | 60% | 67% |\n| 食品饮料 | 58% | 58% |\n| 银行 | 60% | 56% |\n| 餐饮旅游 | 75% | 51% |\n| 商贸零售 | 52% | 49% |\n| 建材 | 60% | 49% |\n| 有色金属 | 61% | 49% |\n| 机械 | 53% | 48% |\n| 汽车 | 55% | 46% |\n| 环保及公用事业 | 52% | 44% |\n| 房地产 | 50% | 40% |\n| 保险 | 43% | 38% |\n| 通信 | 47% | 33% |\n| 传媒互联网 | 52% | 32% |\n| 基础化工 | 39% | 23% |\n| 计算机 | 37% | 28% |\n| 家用电器 | 36% | 25% |\n| 医药生物 | 33% | 24% |\n| 电子 | 27% | 24% |\n| 电气设备 | 31% | 22% |\n| 综合 | 24% | 21% |\n| 农林牧渔 | 37% | 20% |\n| 轻工制造 | 24% | 18% |\n| 纺织服装 | 16% | 13% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/ca462bb7f337e35a4271b5968094b294.png", "anno": "### 用户获取“自媒体”内容时间分布\n\n| 时间 | 自媒体内容时间 |\n| --- | --- |\n| 0点 | 80 |\n| 1点 | 48 |\n| 2点 | 21 |\n| 3点 | 8 |\n| 4点 | 1 |\n| 5点 | 1 |\n| 6点 | 1 |\n| 7点 | 1 |\n| 8点 | 3 |\n| 9点 | 27 |\n| 10点 | 60 |\n| 11点 | 77 |\n| 12点 | 80 |\n| 13点 | 82 |\n| 14点 | 83 |\n| 15点 | 84 |\n| 16点 | 86 |\n| 17点 | 88 |\n| 18点 | 90 |\n| 19点 | 84 |\n| 20点 | 92 |\n| 21点 | 99 |\n| 22点 | 100 |\n| 23点 | 93 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/2dbdddf33ce9d7d320c1c6f10fc4511c.png", "anno": "### DCMM评分雷达图\n| | | |\n| --- | --- | --- |\n| 数据战略规划 | 3.03 | 1.50 |\n| 数据战略实施 | 2.95 | 1.40 |\n| 数据战略评估 | 2.44 | 1.20 |\n| 数据治理组织 | 2.51 | 2.00 |\n| 数据制度建设 | 2.52 | 2.41 |\n| 数据治理沟通 | 2.22 | 1.70 |\n| 数据模型 | 2.14 | 1.50 |\n| 数据分布 | 2.23 | 1.30 |\n| 数据集成与分享 | 2.40 | 2.50 |\n| 元数据管理 | 2.25 | 1.20 |\n| 数据分析 | 3.15 | 2.00 |\n| 数据开放共享 | 2.85 | 1.90 |\n| 数据服务 | 2.79 | 1.30 |\n| 数据安全策略 | 2.88 | 1.50 |\n| 数据安全管理 | 2.95 | 1.50 |\n| 数据安全审计 | 2.64 | 1.10 |\n| 业务术语 | 2.07 | 1.80 |\n| 参考数据和主数据 | 2.07 | 2.50 |\n| 数据元 | 1.93 | 2.40 |\n| 指示数据 | 2.01 | 2.80 |\n| 数据质量需求 | 2.40 | 2.30 |\n| 数据质量检查 | 2.95 | 2.80 |\n| 数据质量分析 | 2.90 | 2.40 |\n| 数据质量提升 | 2.70 | 2.10 |\n| 数据需求 | 2.75 | 2.60 |\n| 数据设计与开发 | 2.91 | 2.40 |\n| 数据运维 | 3.11 | 2.50 |\n| 数据退役 | 3.12 | 2 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/05407cf976d6d3fd42253bbbacd382e1.png", "anno": "| | |\n| --- | --- |\n| 学习/提炼能力 | 5 |\n| 办公技能 | 5 |\n| 执行力/IQ | 5 |\n| 关联专业知识 | 3 |\n| 沟通能力/trade off | 5 |\n| 行业融入感/ownership | 5 |\n| 技术理解 | 4 |\n| AQ/EQ（心态/胸怀） | 4 |\n| 对外商务沟通(BD\\P3以上) | 2 |\n| 行业认知 | 4 |\n| 专业设计能力 | 4 |\n| 运营数据分析 | 3 |\n| 营销与推广策略 | 3 |\n| 危机预测与控制/预见性 | 2 |\n| 市场/用户的调研与分析 | 4 |\n| 用户需求理解/80/20/细节 | 4 |\n| 产品规划（版本计划/节奏） | 4 |\n| 渠道管理 | 2 |\n| 项目管理 | 4 |\n| 带人的能力/知识传递 | 3 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/ff09aa85db1fb260c6c4f40e00d92f53.png", "anno": "### 营商环境指数\n| | 分值 |\n| --- | --- |\n| 06 | 89.5 |\n| 07 | 84.5 |\n| 08 | 86.0 |\n| 09 | 81.5 |\n| 10 | 76.0 |\n| 11 | 77.0 |\n| 12 | 75.0 |\n| 01 | 88.0 |\n| 02 | 90.0 |\n| 03 | 84.0 |\n| 04 | 86.0 |\n| 05 | 84.0 |\n| 06 | 75.0 |\n\n### 营商环境指数全市排名\n| | 排名 |\n| --- | --- |\n| 06 | 9.6 |\n| 07 | 8.7 |\n| 08 | 9.0 |\n| 09 | 8.0 |\n| 10 | 7.0 |\n| 11 | 7.2 |\n| 12 | 6.8 |\n| 01 | 9.4 |\n| 02 | 9.7 |\n| 03 | 8.6 |\n| 04 | 9.0 |\n| 05 | 8.5 |\n| 06 | 6.8 |\n\n### 营商环境指数全省排名\n| | 排名 |\n| --- | --- |\n| 06 | 27.0 |\n| 07 | 25.0 |\n| 08 | 25.5 |\n| 09 | 23.5 |\n| 10 | 21.3 |\n| 11 | 22.0 |\n| 12 | 21.0 |\n| 01 | 26.5 |\n| 02 | 27.0 |\n| 03 | 25.0 |\n| 04 | 25.5 |\n| 05 | 24.5 |\n| 06 | 21.0 |\n\n### 营商环境大数据平台\n| | 营商环境核心指标分 | 浙江省营商环境核心指标分值 |\n| --- | --- | --- |\n| 产权登记 | 66 | 85 |\n| 跨境贸易与投资便利化 | 55 | 71 |\n| 纳税 | 69 | 47 |\n| 获得信贷 | 73 | 67 |\n| 用气用暖报装 | 91 | 50 |\n| 企业成本 | 60 | 68 |\n| 获得电力 | 58 | 91 |\n| 用水报装 | 40 | 93 |\n| 施工许可 | 80 | 68 |\n| 企业开办与注销 | 80 | 53 |\n\n### 行政效能\n| | |\n| --- | --- |\n| 1 工商分局 | 100 |\n| 2 区住建局 | 100 |\n| 3 区发改委 | 100 |\n| 4 质监分局 | 97 |\n| 5 公安分局 | 90 |\n| 6 区法院 | 90 |\n| 7 区财政局 | 80 |\n| 8 国税局 | 78 |\n| 9 国土分局 | 72 |\n| 10 区经贸局 | 70 |\n| 11 区金融办 | 65 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b55a8c57e4934be1652ab9e2bfd30e31.png", "anno": "| | |\n| --- | --- |\n| 辽宁 | 17 |\n| 贵州 | 17 |\n| 山西 | 18 |\n| 四川 | 17 |\n| 吉林 | 17 |\n| 重庆 | 17 |\n| 江西 | 17 |\n| 广西 | 17 |\n| 宁夏 | 17 |\n| 山东 | 17 |\n| 青海 | 17 |\n| 甘肃 | 17 |\n| 广东 | 18 |\n| 陕西 | 17 |\n| 天津 | 17 |\n| 上海 | 17 |\n| 河北 | 17 |\n| 河南 | 17 |\n| 内蒙古 | 17 |\n| 湖北 | 18 |\n| 江苏 | 17 |\n| 云南 | 18 |\n| 浙江 | 17 |\n| 安徽 | 17 |\n| 海南 | 17 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/441cbf747a5a5429f30683747486f239.png", "anno": "### 用户旅程满意度 User Journey Satisfaction\n\n| | 策略A | 策略B | 策略C | 策略D | 策略E |\n| --- | --- | --- | --- | --- | --- |\n| 认知接触点 | 8.4 | 7.8 | 8.0 | 8.2 | 7.7 |\n| 互动策略 | 8.9 | 8.3 | 8.3 | 8.0 | 7.7 |\n| 转化策略 | 8.3 | 7.9 | 6.8 | 7.8 | 7.8 |\n| 售后支持 | 7.8 | 6.9 | 7.8 | 8.1 | 7.6 |\n| 客户倡导努力 | 8.5 | 7.7 | 8.9 | 8.0 | 7.9 |\n| 总体得分（各策略平均分） | 8.40 | 7.72 | 8.00 | 8.04 | 7.76 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/6e4b32974e1c5de7b48ecb9dc060ade9.png", "anno": "| | 蓝色线 | 橙色线 | 绿色线 |\n| --- | --- | --- | --- |\n| python | 38 | 58 | 78 |\n| 计算机 | 55 | 70 | 80 |\n| 英语 | 120 | 55 | 36 |\n| 虚拟机 | 61 | 69 | 74 |\n| 可视化 | 52 | 52 | 76 |\n| 线性代数 | 46 | 102 | 85 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/601d3f5ade6472695ed85fd807b828c7.png", "anno": "| | |\n| --- | --- |\n| 医药生物 | 103 |\n| 化工 | 95 |\n| 机械设备 | 93 |\n| 电子 | 73 |\n| 电气设备 | 72 |\n| 公用事业 | 63 |\n| 房地产 | 59 |\n| 计算机 | 58 |\n| 传媒 | 46 |\n| 汽车 | 46 |\n| 交通运输 | 43 |\n| 有色金属 | 43 |\n| 食品饮料 | 39 |\n| 建筑装饰 | 38 |\n| 非银金融 | 37 |\n| 商业贸易 | 36 |\n| 采掘 | 32 |\n| 建筑材料 | 32 |\n| 农林牧渔 | 30 |\n| 纺织服装 | 29 |\n| 家用电器 | 27 |\n| 通信 | 25 |\n| 轻工制造 | 24 |\n| 国防军工 | 19 |\n| 银行 | 18 |\n| 综合 | 14 |\n| 钢铁 | 12 |\n| 休闲服务 | 8 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/54b02ac0c5c612c9ceba9a5e57687506.png", "anno": "### 英美人眼中的中国制造：量多质差\n| | 英美人民对中国制造的印象 | 英美人民对日本制造的印象 | 英美人民对美国制造的印象 |\n| --- | --- | --- | --- |\n| 高质量 | 11.8% | 44.5% | 51.2% |\n| 可信赖 | 13.7% | 47% | 52% |\n| 带有自豪感的建造/制作过程 | 12% | 38.4% | 50% |\n| 令人印象深刻 | 16.9% | 42% | 40% |\n| 感觉有趣 | 19.5% | 31.8% | 40% |\n| 新鲜、与众不同 | 15% | 39.4% | 36% |\n| 引领潮流趋势 | 14.2% | 34% | 45.5% |\n| 前沿 | 12.8% | 48% | 40% |\n| 有“型” | 11.5% | 35% | 44% |\n| 有好的设计感 | 17.5% | 51% | 48% |\n| 合乎伦理道德 | 8% | 22% | 41.6% |\n| 环保 | 7% | 20% | 40% |\n| 安全水平低 | 44% | 9% | 7.4% |\n| 产品质量差 | 34% | 8% | 7% |\n| 价格低 | 55.5% | 8.5% | 7.2% |\n| 海量生产 | 62% | 30% | 26% |\n| 不可信赖 | 33.5% | 9.5% | 6.5% |\n| 低档次 | 33% | 14.6% | 5% |\n| 普通 | 30% | 13% | 22% |\n| 感觉无趣 | 14.5% | 11.4% | 10% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/8718689b4655c8edfff4ccf6da729f42.png", "anno": "| | 新型工业化 | 信息化 | 新型城镇化 | 农业现代化 | 绿色化 |\n| --- | --- | --- | --- | --- | --- |\n| 哈尔滨市 | 0.16 | 0.35 | 0.23 | 0.48 | 0.31 |\n| 齐齐哈尔市 | 0.09 | 0.25 | 0.15 | 0.3 | 0.2 |\n| 鸡西市 | 0.08 | 0.27 | 0.16 | 0.34 | 0.19 |\n| 鹤岗市 | 0.14 | 0.26 | 0.18 | 0.39 | 0.18 |\n| 双鸭山市 | 0.2 | 0.28 | 0.15 | 0.33 | 0.2 |\n| 大庆市 | 0.14 | 0.37 | 0.18 | 0.42 | 0.18 |\n| 伊春市 | 0.08 | 0.23 | 0.14 | 0.43 | 0.17 |\n| 佳木斯市 | 0.15 | 0.15 | 0.17 | 0.32 | 0.2 |\n| 七台河市 | 0.08 | 0.34 | 0.14 | 0.4 | 0.24 |\n| 牡丹江市 | 0.1 | 0.24 | 0.2 | 0.39 | 0.23 |\n| 黑河市 | 0.03 | 0.18 | 0.13 | 0.33 | 0.15 |\n| 绥化市 | 0.07 | 0.2 | 0.06 | 0.2 | 0.16 |\n| 大兴安岭地区 | 0.14 | 0.44 | 0.18 | 0.37 | 0.11 |\n| 长春市 | 0.16 | 0.38 | 0.22 | 0.55 | 0.32 |\n| 吉林市 | 0.14 | 0.35 | 0.2 | 0.45 | 0.28 |\n| 四平市 | 0.08 | 0.24 | 0.12 | 0.3 | 0.23 |\n| 辽源市 | 0.16 | 0.24 | 0.13 | 0.32 | 0.16 |\n| 通化市 | 0.19 | 0.44 | 0.15 | 0.33 | 0.19 |\n| 白山市 | 0.12 | 0.32 | 0.16 | 0.35 | 0.18 |\n| 松原市 | 0.06 | 0.33 | 0.13 | 0.27 | 0.2 |\n| 白城市 | 0.05 | 0.24 | 0.11 | 0.32 | 0.21 |\n| 延边朝鲜族自治州 | 0.18 | 0.3 | 0.13 | 0.48 | 0.25 |\n| 沈阳市 | 0.24 | 0.49 | 0.28 | 0.46 | 0.35 |\n| 大连市 | 0.24 | 0.4 | 0.29 | 0.5 | 0.36 |\n| 鞍山市 | 0.14 | 0.41 | 0.19 | 0.4 | 0.3 |\n| 抚顺市 | 0.16 | 0.45 | 0.23 | 0.4 | 0.27 |\n| 本溪市 | 0.13 | 0.48 | 0.18 | 0.42 | 0.27 |\n| 丹东市 | 0.15 | 0.27 | 0.21 | 0.31 | 0.22 |\n| 锦州市 | 0.16 | 0.28 | 0.17 | 0.31 | 0.24 |\n| 营口市 | 0.09 | 0.31 | 0.15 | 0.31 | 0.31 |\n| 阜新市 | 0.13 | 0.31 | 0.18 | 0.35 | 0.24 |\n| 辽阳市 | 0.1 | 0.33 | 0.16 | 0.34 | 0.27 |\n| 盘锦市 | 0.17 | 0.33 | 0.17 | 0.33 | 0.17 |\n| 铁岭市 | 0.14 | 0.33 | 0.19 | 0.26 | 0.17 |\n| 朝阳市 | 0.14 | 0.29 | 0.16 | 0.35 | 0.17 |\n| 葫芦岛市 | 0.16 | 0.38 | 0.17 | 0.38 | 0.1 |\n| 呼伦贝尔市 | 0.14 | 0.35 | 0.18 | 0.35 | 0.12 |\n| 通辽市 | 0.19 | 0.4 | 0.15 | 0.34 | 0.12 |\n| 赤峰市 | 0.2 | 0.27 | 0.16 | 0.31 | 0.21 |\n| 兴安盟 | 0.16 | 0.21 | 0.17 | 0.43 | 0.2 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/ed19b41839e7ec556eebd93ee5d62f24.png", "anno": "### 不同风向降雨概率雷达图\n\n| | 风向降雨概率 |\n| --- | --- |\n| 0.0 | 0.55 |\n| 15.0 | 1.00 |\n| 20.0 | 0.64 |\n| 25.0 | 1.00 |\n| 30.0 | 0.76 |\n| 40.0 | 0.8 |\n| 50.0 | 0.81 |\n| 60.0 | 0.7 |\n| 65.0 | 1.00 |\n| 70.0 | 0.80 |\n| 75.0 | 1.00 |\n| 80.0 | 0.86 |\n| 90.0 | 0.72 |\n| 100.0 | 0.78 |\n| 110.0 | 0.65 |\n| 120.0 | 0.73 |\n| 130.0 | 0.82 |\n| 140.0 | 0.72 |\n| 150.0 | 0.76 |\n| 160.0 | 1.00 |\n| 170.0 | 0.30 |\n| 180.0 | 0.81 |\n| 190.0 | 0.78 |\n| 200.0 | 0.74 |\n| 210.0 | 0.77 |\n| 220.0 | 0.74 |\n| 230.0 | 0.77 |\n| 240.0 | 0.63 |\n| 250.0 | 7.80 |\n| 250.3 | 1.00 |\n| 260.0 | 0.50 |\n| 270.0 | 0.70 |\n| 280.0 | 0.56 |\n| 290.0 | 0.70 |\n| 300.0 | 0.72 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a7bcb34b1f2f8f00a19ce5658165a55d.png", "anno": "| | 实际经营耕地中租入、包入、转入的耕地面积比重 | 实际经营耕地中承包地、自留地、开荒地的面积比重 |\n| --- | --- | --- |\n| 总计 | 11 | 90 |\n| 北京 | 19 | 82 |\n| 天津 | 9 | 92 |\n| 河北 | 6 | 96 |\n| 山西 | 4 | 93 |\n| 内蒙古 | 13 | 88 |\n| 辽宁 | 10 | 90 |\n| 吉林 | 17 | 85 |\n| 黑龙江 | 28 | 72 |\n| 上海 | 28 | 73 |\n| 江苏 | 5 | 91 |\n| 浙江 | 25 | 77 |\n| 安徽 | 10 | 90 |\n| 福建 | 22 | 79 |\n| 江西 | 15 | 89 |\n| 山东 | 1 | 98 |\n| 河南 | 3 | 96 |\n| 湖北 | 7 | 91 |\n| 湖南 | 11 | 90 |\n| 广东 | 15 | 87 |\n| 广西 | 9 | 92 |\n| 海南 | 5 | 95 |\n| 重庆 | 13 | 87 |\n| 四川 | 12 | 88 |\n| 贵州 | 9 | 92 |\n| 云南 | 5 | 94 |\n| 西藏 | 0 | 99 |\n| 陕西 | 1 | 97|\n| 甘肃 | 2 | 98 |\n| 青海 | 3 | 95 |\n| 宁夏 | 6 | 94 |\n| 新疆 | 21 | 80 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/6be978e2b8f739625670ba7084956b2d.png", "anno": "| | 蓝色 | 橙色 |\n| --- | --- | --- |\n| 权益保护 | 0.46 | 0.55 |\n| 在华身份相关政策 | 0.42 | 0.55 |\n| 引进及评聘政策 | 0.50 | 0.55 |\n| 创业扶持政策 | 0.57 | 0.55 |\n| 政策信息获取 | 0.45 | 0.55 |\n| 相关机构配置 | 0.48 | 0.55 |\n| 相关事务办理流程 | 0.58 | 0.55 |\n| 政务人员工作质量 | 0.42 | 0.55 |\n| 工作及创业环境 | 0.76 | 0.55 |\n| 升迁发展机会 | 0.45 | 0.55 |\n| 薪酬待遇 | 0.40 | 0.55 |\n| 国际化氛围与多元文化 | 0.57 | 0.55 |\n| 人居自然环境 | 1.04 | 0.55 |\n| 城市发展规划 | 0.64 | 0.55 |\n| 医疗卫生环境 | 0.46 | 0.55 |\n| 子女教育环境 | 0.45 | 0.55 |\n| 社会公共文明 | 0.67 | 0.55 |\n| 城市包容性 | 0.49 | 0.55 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/de43dd2f7d7a83a2d8a1c1add6f6c0e4.png", "anno": "### 车型对比\n\n| | 帕萨特 | 迈腾 | 凯美瑞 | 亚洲龙 | 天籁 | 雅阁 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 舒适性 | 85 | 87 | 80 | 85 | 85 | 75 |\n| 操控 | 90 | 95 | 80 | 75 | 85 | 88 |\n| 安全 | 70 | 75 | 85 | 85 | 80 | 85 |\n| 性能 | 90 | 95 | 70 | 75 | 80 | 82 |\n| 油耗 | 75 | 72 | 95 | 90 | 85 | 90 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1b2d5120affbc0bd8e161452ae93deac.png", "anno": "| | |\n| --- | --- |\n| 数据战略规划 | 2.02 |\n| 数据战略实施 | 1.71 |\n| 数据战略评估 | 1.16 |\n| 数据治理组织 | 1.86 |\n| 数据制度建设 | 1.85 |\n| 数据治理沟通 | 2.25 |\n| 数据模型 | 1.67 |\n| 数据分布 | 1.75 |\n| 数据集成与共享 | 1.50 |\n| 元数据管理 | 1.67 |\n| 数据分析 | 1.67 |\n| 数据开放共享 | 1.75 |\n| 数据服务 | 1.50 |\n| 数据安全策略 | 2.00 |\n| 数据安全管理 | 2.50 |\n| 数据安全审计 | 2.50 |\n| 数据质量需求 | 1.83 |\n| 数据质量检查 | 1.75 |\n| 数据质量分析 | 2.00 |\n| 数据质量提升 | 1.63 |\n| 业务术语 | 2.50 |\n| 参考数据与主数据 | 2.50 |\n| 数据元 | 2.36 |\n| 指标数据 | 1.44 |\n| 数据需求 | 2.50 |\n| 数据设计和开放 | 2.50 |\n| 数据运维 | 2.50 |\n| 数据退役 | 2.29 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/572a35643681783b99918d5c73b33274.png", "anno": "| | |\n| --- | --- |\n| 家具制造业 | 43% |\n| 木材加工及木、竹、藤、棕、草制品业 | 33% |\n| 金属制品业 | 32% |\n| 工艺品及其他制造业 | 32% |\n| 文教体育用品制造业 | 30% |\n| 黑色金属冶炼及压延加工业 | 30% |\n| 有色金属冶炼及压延加工业 | 30% |\n| 皮革、毛皮、羽毛（绒）及其制品业 | 29% |\n| 纺织服装、鞋、帽制造业 | 28% |\n| 农副食品加工业 | 25% |\n| 通信设备、计算机及其他电子设备制造业 | 24% |\n| 仪器仪表及文化、办公用机械制造业 | 23% |\n| 食品制造业 | 22% |\n| 橡胶制品业 | 21% |\n| 交通运输设备制造业 | 21% |\n| 造纸及纸制品业 | 21% |\n| 电气机械及器材制造业 | 19% |\n| 通用设备制造业 | 18% |\n| 专用设备制造业 | 18% |\n| 非金属矿物制品业 | 18% |\n| 烟草制品业 | 18% |\n| 塑料制品业 | 18% |\n| 石油加工、炼焦及核燃料加工业 | 18% |\n| 化学原料及化学制品制造业 | 18% |\n| 医药制造业 | 17% |\n| 纺织业 | 17% |\n| 化学纤维制造业 | 16% |\n| 印刷业和记录媒介的复制 | 16% |\n| 饮料制造业 | 15% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/847348eff8070300cf9a3134b8d274d4.png", "anno": "| | |\n| --- | --- |\n| 广东外语外贸大学 | 20.0 |\n| 大连外国语大学 | 0.0 |\n| 辽宁对外经贸学院 | 0.0 |\n| 北京第二外国语学院 | 0.0 |\n| 重庆对外经贸学院 | 0.0 |\n| 黑龙江外国语学院 | 0.0 |\n| 江西外语外贸职业学院 | 0.0 |\n| 山东外国语职业技术大学 | 0.0 |\n| 广东省外语艺术职业学院 | 0.0 |\n| 西安外事学院 | 0.0 |\n| 湖南涉外经济学院 | 1.8 |\n| 外交学院 | 1.8 |\n| 浙江越秀外国语学院 | 4.0 |\n| 浙江外国语学院 | 5.0 |\n| 上海对外经贸大学 | 7.0 |\n| 四川外国语大学 | 7.0 |\n| 福州外语外贸学院 | 8.0 |\n| 北京外国语大学 | 8.9 |\n| 上海外国语大学 | 11.9 |\n| 对外经济贸易大学 | 11.9 |\n| 西安外国语大学 | 16.0 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/06d21c8d08fa7445e384787ecc901e90.png", "anno": "### 深圳福田市场普通猪肉（一级）批发价格涨跌变化\n\n| | 2016/5/11-元/斤 | 2016/4/11-元/斤 | 2015/5/11-元/斤 |\n| --- | --- | --- | --- |\n| 猪肘 | 23 | 18 | 15 |\n| 猪前排骨 | 30 | 24 | 19 |\n| 猪头肉 | 10 | 8 | 6 |\n| 肋排骨 | 30 | 25 | 21 |\n| 前瘦肉 | 21 | 17 | 14 |\n| 猪展 | 21 | 17 | 14 |\n| 后瘦肉 | 21 | 17 | 14 |\n| 腰梅肉 | 22 | 17 | 15 |\n| 猪大肠头 | 16 | 14 | 12 |\n| 猪扒肉 | 21 | 17 | 14 |\n| 猪大肠 | 20 | 16 | 13 |\n| 猪排骨 | 28 | 23 | 19 |\n| 去皮前上肉 | 21 | 18 | 14 |\n| 去皮后上肉 | 21 | 18 | 13.5 |\n| 三角五花肉 | 21 | 18 | 14 |\n| 猪分蹄 | 20 | 17 | 14 |\n| 猪圆蹄 | 20 | 17 | 13.5 |\n| 前上肉 | 20 | 17 | 13.5 |\n| 后上肉 | 20 | 17 | 13.5 |\n| 前梅肉 | 21 | 18 | 14 |\n| 猪颈肉 | 22 | 19 | 15 |\n| 猪舌 | 25 | 22 | 20 |\n| 五花肉 | 20 | 17 | 12 |\n| 猪粉肠 | 20 | 17 | 15 |\n| 去皮五花肉 | 21 | 17 | 12 |\n| 猪手 | 19 | 17 | 14 |\n| 猪尾巴 | 22 | 18 | 15 |\n| 猪小肚 | 27 | 24 | 20 |\n| 猪脚 | 19 | 17 | 14 |\n| 猪生肠 | 20 | 18 | 16 |\n| 猪肝 | 18 | 16 | 14 |\n| 猪心 | 28 | 21 | 21 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/077fee918e1f5c37291440ab9ae51ee8.png", "anno": "### 一线城市主要商圈平均服务半径\n\n| 商圈 | 平均服务半径-单位：KM |\n| --- | --- |\n| 西单 | 7.1 |\n| 海岸城 | 4.6 |\n| 天河城 | 6.5 |\n| 沙井京基百纳 | 4.5 |\n| 外滩 | 5.7 |\n| 朝阳大悦城 | 6.0 |\n| 欢乐海岸 | 7.2 |\n| 中关村 | 7.2 |\n| 北京步行街 | 2.7 |\n| 万达广场 | 2.7 |\n| 国贸 | 5.9 |\n| 三里屯 | 6.7 |\n| 番禺广场 | 4.0 |\n| 国贸 | 6.9 |\n| 大望路 | 5.8 |\n| 西城都荟 | 5.0 |\n| 东单 | 7.0 |\n| 建外大街 | 6.0 |\n| 徐家汇 | 5.0 |\n| 双井 | 5.7 |\n| 东直门 | 6.7 |\n| 花都广场 | 4.6 |\n| 会展中心 | 7.4 |\n| 壹海城 | 6.2 |\n| 新国际博览中心 | 7.0 |\n| 新洲 | 6.3 |\n| 海珠广场 | 4.7 |\n| 华南城 | 4.2 |\n| 五角场 | 4.3 |\n| 世界之窗 | 7.6 |\n| 保利花城 | 4.8 |\n| 天河公园 | 5.3 |\n| 市北工业园 | 3.6 |\n| 黄兴公园 | 4.1 |\n| 世纪公园 | 4.9 |\n| 泰晤士小镇 | 4.1 |\n| 东部华侨城 | 6.0 |\n| 欢乐谷 | 6.4 |\n| 动物园 | 4.7 |\n| 碧水湾 | 4.3 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3a731d6bbae7930ae406d3639e72403b.png", "anno": "| | | |\n| --- | --- | --- |\n| 权益保护 | 2.75 | 2.25 |\n| 在华身份相关政策 | 3.00 | 2.25 |\n| 引进及评聘政策 | 2.90 | 2.25 |\n| 创业扶持政策 | 1.50 | 2.25 |\n| 政策信息获取 | 1.90 | 2.25 |\n| 相关机构配置 | 2.40 | 2.25 |\n| 相关事务办理流程 | 2.40 | 2.25 |\n| 政务人员工作质量 | 2.10 | 2.25 |\n| 工作及创业环境 | 1.75 | 2.25 |\n| 升迁发展机会 | 1.95 | 2.25 |\n| 薪酬待遇 | 2.50 | 2.25 |\n| 国际化氛围与多元文化 | 3.00 | 2.25 |\n| 人居自然环境 | 0.40 | 2.25 |\n| 城市发展规划 | 1.80 | 2.25 |\n| 医疗卫生环境 | 2.90 | 2.25 |\n| 子女教育环境 | 3.15 | 2.25 |\n| 社会公共文明 | 1.95 | 2.25 |\n| 城市包容性 | 1.80 | 2.25 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/9264b312283c772a3f69785083b823f1.png", "anno": "### 图2：前三季度地区生产总值增速“风向玫瑰图”（%）\n\n| | 地区生产总值增速 |\n| --- | --- |\n| 北京 | 6.7 |\n| 天津 | 3.5 |\n| 河北 | 6.6 |\n| 山西 | 6.2 |\n| 内蒙古 | 5.1 |\n| 山东 | 6.5 |\n| 上海 | 6.6 |\n| 江苏 | 6.7 |\n| 浙江 | 7.6 |\n| 安徽 | 8.2 |\n| 江西 | 8.8 |\n| 湖北 | 8.0 |\n| 湖南 | 7.8 |\n| 河南 | 7.4 |\n| 福建 | 8.3 |\n| 广东 | 6.9 |\n| 海南 | 5.5 |\n| 广西 | 7.0 |\n| 黑龙江 | 5.2 |\n| 辽宁 | 5.4 |\n| 吉林 | 4.1 |\n| 陕西 | 8.4 |\n| 宁夏 | 7.0 |\n| 甘肃 | 6.4 |\n| 青海 | 6.8 |\n| 四川 | 8.1 |\n| 重庆 | 6.3 |\n| 贵州 | 9.0 |\n| 云南 | 9.1 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/12a8dd2152a3f835cd4c4ffd0ae4ecd9.png", "anno": "### 客户群特征分析图\n| | 第1族人群：24621人 | 第2族人群：5337人 | 第3族人群:4237人 | 第4族人群：15733人 | 第5族人群：12116人 |\n| --- | --- | --- | --- | --- | --- |\n| ZF | -0.2 | 2.5 | -0.25 | -0.1 | --0.7 |\n| ZR | -0.5 | -1.0 | 0.0 | -0.5 | 1.7 |\n| ZL | -0.9 | 0.5 | 0.0 | 1.2 | -0.4 |\n| ZC | -0.3 | 0.4 | 2.2 | -0.2 | -0.2 |\n| ZM | -0.2 | 2.4 | -0.25 | -0.1 | -0.6 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/f80005d969e473e70d956afbbfe98aef.png", "anno": "| | 橙色线 | 绿色线 | 蓝色线 |\n| --- | --- | --- | --- |\n| 英语 | 88 | 79 | 39 |\n| 数学 | 91 | 81 | 41 |\n| 吃喝玩乐 | 26 | 36 | 100 |\n| 数据可视化 | 79 | 74 | 69 |\n| 爬虫 | 73 | 77 | 62 |\n| 线代 | 82 | 83 | 36 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/237bce776f67ca1b27aa433073a56814.png", "anno": "| | 马化腾-姓名 | 马云-姓名 | 李彦宏-姓名 | 丁磊-姓名 |\n| --- | --- | --- | --- | --- |\n| 语文 | 73.33 | 83.33 | 93.33 | 93.56 |\n| 数学 | 92.89 | 86.67 | 94.67 | 94.67 |\n| 外语 | 64.22 | 94.43 | 82.22 | 92.67 |\n| 物理 | 82.38 | 92.22 | 62.22 | 94.67 |\n| 化学 | 90.22 | 68.89 | 97.33 | 97.78 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/e5b4875423fbbfa9d4c1472d87b3b6a0.png", "anno": "### Business Agility Self-Assessment\n\n| | |\n| --- | --- |\n| TTA: Agile Teams | 4.5 |\n| TTA: Built-in Quality | 4.3 |\n| TTA: Team of Agile Teams | 5 |\n| APD: Customer Centricity and Design Thinking | 2.3 |\n| APD: Develop and Cadence; Release on Demand | 4 |\n| APD: DevOps and Continuous Delivery Pipeline | 4 |\n| ESD: Solution and Systems Engineering | 1 |\n| ESD: Coordinating Trains and Suppliers | 2 |\n| ESD: Continuously Evolve Live Systems | 2 |\n| LPM: Strategy and Investment Fundin | 2 |\n| LPM: Agile Portfolio Operations | 2 |\n| LPM: Lean Governance | 2 |\n| LAL: Mindset and Principles | 2.7 |\n| LAL: Leading the Change | 4.4 |\n| LAL: Leading by Example | 1.3 |\n| OA: Strategy Agility | 3 |\n| OA: Lean Business Operations | 1.3 |\n| OA: Lean-Thinking People and Agile Teams | 2.4 |\n| CLC: Relentless Improvement | 4.7 |\n| CLC: Learning Organization | 1.6 |\n| CLC: Innovation Culture | 3 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/6a3165ccdbab866b7913c8a60c889837.png", "anno": "| | 通义千问 2.0 | Llama-2-70B | GPT-3.5 | GPT-4 |\n| --- | --- | --- | --- | --- |\n| MMLU | 75.6 | 68.8 | 68.9 | 86.4 |\n| AGIEval | 61.25 | 52.5 | 39.6 | 53.6 |\n| C-Eval | 82.9 | 59.4 | 52.7 | 68.8 |\n| CMMLU | 83 | 54 | 54.8 | 71 |\n| Gaokao-Bench | 85 | 22 | 52 | 72 |\n| GSM8K | 82.5 | 62.9 | 80 | 93 |\n| MATH | 43 | 14.2 | 28.5 | 45.3 |\n| HumanEval | 70 | 29 | 74.6 | 74.9 |\n| BBH | 69.3 | 64.7 | 68.8 | 86.2 |\n| ARC-C | 89.8 | 79.0 | 85.2 | 93.8 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/e1a42c54d5607a039953b0ee77c00715.png", "anno": "| | LSTM | CNN-LSTM | BKA-CNN-LSTM |\n| --- | --- | --- | --- |\n| MAPE | 1.00 | 0.22 | 0.21 |\n| MAE | 1.00 | 0.52 | 0.51 |\n| MSE | 1.00 | 0.41 | 0.34 |\n| $ R^{2} $ | 0.77 | 0.97 | 1.00 |\n| RMSE | 1.00 | 0.64 | 0.58 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/83155f429c98a3a997f0134b0ec860ad.png", "anno": "| | Ferrari Dino | Ford Pantera L | Maserati Bora | Volvo 142E |\n| --- | --- | --- | --- | --- |\n| mpg | 40% | 25% | 20% | 47% |\n| cyl | 50% | 100% | 100% | 0% |\n| disp | 19% | 70% | 57% | 12% |\n| hp | 43% | 75% | 100% | 20% |\n| drat | 40% | 68% | 35% | 62% |\n| wt | 32% | 43% | 53% | 33% |\n| qsec | 13% | 0% | 1% | 50% |\n| vs | 0% | 0% | 0% | 100% |\n| am | 100% | 100% | 100% | 100% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/6c98e913e5da080f572bc31ed8574df7.png", "anno": "| | Ferrari Dino | Ford Pantera L | Maserati Bora | Volvo 142E |\n| --- | --- | --- | --- | --- |\n| mpg | 40% | 25% | 21% | 48% |\n| cyl | 50% | 100% | 100% | 0% |\n| disp | 20% | 70% | 58% | 15% |\n| hp | 45% | 75% | 100% | 20% |\n| drat | 40% | 70% | 35% | 65% |\n| wt | 32% | 45% | 51% | 35% |\n| qsec | 15% | 0% | 0% | 50% |\n| vs | 0% | 0% | 0% | 100% |\n| am | 100% | 100% | 100% | 100% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/8f093f3e12798a7e726ad2ee04f269b6.png", "anno": "### Polar Line Chart Demo\n\n| | Close Loop Line | Open Loop Line |\n| --- | --- | --- |\n| 15 | 90 | |\n| 40 | | 80 |\n| 60 | 25 | |\n| 65 | | 91 |\n| 88 | | 66 |\n| 110 | 40 | 80 |\n| 150 | | 92 |\n| 180 | 55 | |\n| 200 | | 87 |\n| 230 | 68 | |\n| 260 | 44,79 | |\n| 310 | 85 | |\n| 340 | 50 | |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/94c3101d2c56b61eb865f186d46d377d.png", "anno": "| | Qwen-VL-Chat 9.6B | DeepSeek-VL-7B | CogVLM-Chat 17.4B | MobileVLM V2 3.1B | MiniCPM-V 2.8B | MiniCPM-V 2.0 2.8B |\n| --- | --- | --- | --- | --- | --- | --- |\n| TexyVQA Val | 59.2 | 64.5 | 69.0 | 56.9 | 59.0 | 74.1 |\n| DocVQA Test | 61.2 | 45.6 | 27.3 | 18.0 | 34.0 | 71.9 | \n| OCRBench | 485.0 | 435.0 | 587.0 | | 50.0 | 605.0 |\n| Object HalBench | 79 | | 87.40 | | 88.47 | 92.2 |\n| MME | 1860.0 | 1770.0 | 1740.0 | | 1660.0 | 1815.0 |\n| MMMU val | 37.0 | 38.3 | 37.30 | | 38.3 | 38.2 |\n| MathVista | 33.43 | 36.7 | 34.83 | | 28.57 | 38.7 |\n| OpenCompass | 52.07 | 55.6 | 52.50 | | 47.23 | 54.47 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/3f8492d6bb3b904ad3e3e3afa77ed3a2.png", "anno": "| | Ferrari Dino | Ford Pantera L | Maserati Bora | Volvo 142E |\n| --- | --- | --- | --- | --- |\n| mpg | 40% | 23% | 20% | 46% |\n| drat | 41% | 68% | 38% | 64% |\n| hp | 42% | 72% | 100% | 20% |\n| disp | 22% | 70% | 55% | 15% |\n| cyl | 50% | 100% | 100% | 0% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7c7ac88d78028295419c3a53c6190271.png", "anno": "### Chemical Concentration\n| | Very Dry | Critical | Moderate |\n| --- | --- | --- | --- |\n| Jan | | | 5 |\n| Feb | | | 1.5 |\n| Mar | | | 5 |\n| Apr | | | 4 |\n| May | | | 1.5 |\n| Jun | | 9 | |\n| Jul | 9.5 | | |\n| Aug | 2 | | |\n| Sep | | 3.7 | |\n| Oct | | | 9 |\n| Nov | | | 5 |\n| Dec | | | 6 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/831a8f1535fe9e32af9ade3d73a70352.png", "anno": "### Microsatellite Instability (MSI)\n\n| | MSI |\n| --- | --- |\n| UVM | -0.13 |\n| UCS | 0.04 |\n| UCEC ★ | 0.09 |\n| THYM | -0.02 |\n| THCA | -0.02 |\n| TGCT | 0.11 |\n| STAD ★★★ | 0.22 |\n| SKCM | -0.04 |\n| SARC ★★★ | 0.23 |\n| READ | 0.01 |\n| PRAD | 0.08 |\n| PCPG | 0.06 |\n| PAAD | -0.13 |\n| OV | 0.09 |\n| MESO | 0.05 |\n| LUSC ★★★ | 0.36 |\n| LUAD ★★ | 0.13 |\n| LIHC ★★ | 0.17 |\n| LGG | -0.02 |\n| LAML | -0.03 |\n| KIRP | 0.06 |\n| KIRC | 0.05 |\n| KICH ★★ | 0.32 |\n| HNSC | 0.08 |\n| GBM | 0.13 |\n| ESCA | 0.03 |\n| DLBC | -0.19 |\n| COAD | -0.06 |\n| CHOL | 0.07 |\n| CESC | 0.07 |\n| BRCA | -0.01 |\n| BLCA | 0.06 |\n| ACC | 0.17 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/53ab37a19a6cca4ea2a4142a5ec16bd1.png", "anno": "| | |\n| --- | --- |\n| ACC*** | 0.4 |\n| UVM | -0.08 |\n| UCS*** | 0.49 |\n| UCEC*** | 0.37 |\n| THYM*** | -0.49 |\n| THCA | 0 |\n| TGCT | 0 |\n| STAD*** | 0.35 |\n| SKCM** | 0.13 |\n| SARC*** | 0.26 |\n| READ** | 0.26 |\n| PRAD*** | 0.15 |\n| PCPG | 0 |\n| PAAD* | 0.22 |\n| OV | -0.02 |\n| MESO | 0.23 |\n| LUSC* | 0.12 |\n| LUAD*** | 0.35 |\n| LIHC | 0.08 |\n| LGG*** | 0.38 |\n| LAML | 0.03 |\n| KIRP | 0 |\n| KIRC | 0.06 |\n| KICH | 0.2 |\n| HNSC* | 0.12 |\n| GBM* | 0.17 |\n| ESCA* | -0.18 |\n| DLBC | 0.14 |\n| COAD** | 0.15 |\n| CHOL | 0.22 |\n| CESC | -0.07 |\n| BRCA | 0 |\n| BLCA*** | 0.25 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/8c6acea3bcfcde1f4efcba3fa28006c7.png", "anno": "| | CNN | LSTM | CNN-LSTM | Transformer | Transformer-LSTM |\n| --- | --- | --- | --- | --- | --- |\n| MAPE | 0.61 | 1.00 | 0.60 | 0.55 | 0.47 |\n| MAE | 0.67 | 1.00 | 0.59 | 0.57 | 0.48 |\n| MSE | 0.51 | 1.00 | 0.35 | 0.40 | 0.25 |\n| $ R^{2} $ | 0.92 | 0.79 | 1.00 | 0.95 | 1.00 |\n| RMSE | 0.72 | 1.00 | 0.59 | 0.63 | 0.50 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/f961c1debd8cea51ecba76e5d038fd23.png", "anno": "| | RED | BLUE | YELLOW |\n| --- | --- | --- | --- |\n| Biology | 9.5 | 8 | 4 |\n| Physics | 0 | 10 | 20 |\n| Maths | 2.5 | 4 | 11.5 |\n| Sport | 4 | 8.5 | 20 |\n| English | 12.5 | 8 | 7.5 |\n| Art | 10 | 2.5 | 0 |\n| Music | 20 | 20 | 20 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7a265c7fc48ad81d612884ecfe472fea.png", "anno": "| | |\n| --- | --- |\n| INNER D/F | 77 |\n| AOI | 72 |\n| LAM | 77.5 |\n| DRILLING | 76 |\n| PLATING | 72.5 |\n| OUTER D/F | 76 |\n| S/M, C/M | 78 |\n| S/F | 75.5 |\n| ROUT | 74 |\n| mSAP | 73 |\n| RIGID-FLEX | 75.5 |\n| E-TEST | 75 |\n| FQC | 80 |\n| FQA | 77.5 |\n| PACKING | 80 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/1389ea14428eefb330a5acdb6f8d7c3c.png", "anno": "| | sncRNA |\n| --- | --- |\n| Ala | 15 |\n| iMet | 14 |\n| Val | 16 |\n| Tyr | 12 |\n| Trp | 13 |\n| Thr | 14 |\n| Ser | 14 |\n| SeC | 12 |\n| Pro | 14 |\n| Phe | 15 |\n| Met | 14 |\n| Lys | 17 |\n| Leu | 14 |\n| Ile | 15 |\n| His | 15 |\n| Gly | 15 |\n| Glu | 15 |\n| Gln | 14 |\n| Cys | 14 |\n| Asp | 16 |\n| Asn | 13 |\n| Arg | 15 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/209ec3b3e571a079346f897d52d6295e.png", "anno": "| | CNN-LSTM | DBO-CNN-LSTM | CNN-LSTM-Attention | DBO-CNN-LSTM-Attention |\n| --- | --- | --- | --- | --- |\n| MAPE | 0.88 | 0.47 | 1.00 | 0.09 |\n| MAE | 0.88 | 0.48 | 1.00 | 0.08 |\n| MSE | 0.80 | 0.26 | 1.00 | 0.00 |\n| $ R^{2} $ | 1.00 | 1.00 | 1.00 | 1.00 |\n| RMSE | 0.90 | 0.52 | 1.00 | 0.10 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7df014c9cc32a3ac63725e984427dd0a.png", "anno": "| | My First Dataset | My Second Dataset |\n| --- | --- | --- |\n| Eating | 66 | 29 |\n| Drinking | 60 | 49 |\n| Sleeping | 90 | 40 |\n| Designing | 82 | 20 |\n| Coding | 57 | 97 |\n| Cycling | 56 | 28 |\n| Running | 41 | 100 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/bed78cd0a289d7fc37d5b2d51b518d99.png", "anno": "### Wind Rose, Philadelphia PA\n| | 1.3-4 m/s | 4-8 m/s | 8-13 m/s | 13-19 m/s | 19-25 m/s | 25-32 m/s | 32-39 m/s | 39-47 m/s |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| N | 0.6 | 1.8 | 1.8 | 0.8 | | | | |\n| NNE | 0.1 | 0.5 | 0.2 | | | | | |\n| NE | 0.3 | 0.7 | 0.2 | | | | | |\n| ENE | 0.3 | 0.6 | 0.2 | | | | | |\n| E | 0.7 | 3.1 | 2.6 | | | | | |\n| ESE | 0.8 | 1.4 | 0.4 | | | | | |\n| SE | 0.2 | 1.4 | 0.4 | | | | | |\n| SSE | 0.1 | 2.4 | 0.3 | | | | | |\n| S | 1.1 | 4.2 | 2.2 | | | | | |\n| SSW | 0.6 | 3.6 | 3.6 | 0.3 | 0.1 | | | |\n| SW | 0.9 | 2.4 | 5.1 | 1.2 | | | | |\n| WSW | 0.4 | 2.5 | 3.2 | 0.4 | 0.2 | | | |\n| W | 0.6 | 1.7 | 2.6 | 0.3 | | | | |\n| WNW | 0.8 | 2.5 | 3.1 | 0.2 | | | | |\n| NW | 1.0 | 3.2 | 2.6 | 0.8 | 0.2 | | | |\n| NNW | 0.7 | 3.5 | 4.5 | 2.3 | | | | |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/51157b7bc373533ec341decec31ae4c9.png", "anno": "| | 3m18 | Peer Gp Avg |\n| --- | --- | --- |\n| BAML | 1.7 | 0.0 |\n| BARC | 0.95 | 0.0 |\n| BNPP | -0.9 | 0.0 |\n| Citi | 1.4 | 0.0 |\n| CS | -0.7 | 0.0 |\n| DBK | -2.0 | 0.0 |\n| GS | 0.2 | 0.0 |\n| HSBC | -0.5 | 0.0 |\n| JPM | 1.5 | 0.0 |\n| MS | -0.05 | 0.0 |\n| RBC | 0.2 | 0.0 |\n| RBS | | 0.0 |\n| SG | | 0.0 |\n| STAN | -0.4 | 0.0 |\n| UBS | 0.0 | 0.0 |\n| WFC | -0.7 | 0.0 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/009612fb1036c61e0d613c3ca0e18e99.png", "anno": "| | Student.1 | Student.2 | Student.3 |\n| --- | --- | --- | --- |\n| Biology | 8 | 4 | 9.5 |\n| Physics | 10 | 20 | 0 |\n| Maths | 4 | 12 | 3 |\n| Sport | 9 | 20 | 4 |\n| English | 8 | 7.5 | 13 |\n| Geography | 7 | 10.5 | 7 |\n| Art | 3 | 0 | 10 |\n| Programming | 0 | 0 | 20 |\n| Music | 20 | 20 | 20 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2b2b5b5b8216d89b08e18a84b4d63112.png", "anno": "| | a | b |\n| --- | --- | --- |\n| Design | 70 | 30 |\n| Development | 60 | 70 |\n| Marketing | 50 | 60 |\n| Users | 40 | 50 |\n| Test | 60 | 70 |\n| Language | 70 | 50 |\n| Technology | 50 | 40 |\n| Support | 30 | 40 |\n| Sales | 60 | 40 |\n| UX | 50 | 60 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/74ff67dbf74e9e9700a82d128c03f912.png", "anno": "| | 2012 | 2020 |\n| --- | --- | --- |\n| Anhui | 0.30 | 0.14 |\n| Beijing | 0.11 | 0.15 |\n| Chongqing | 0.47 | 0.27 |\n| Fujian | 0.34 | 0.25 |\n| Gansu | 0.39 | 0.27 |\n| Guangdong | 0.39 | 0.23 |\n| Guangxi | 0.30 | 0.34 |\n| Guizhou | 0.29 | 0.30 |\n| Hebei | 0.37 | 0.34 |\n| Heilongjiang | 0.38 | 0.32 |\n| Henan | 0.26 | 0.23 |\n| Hubei | 0.24 | 0.11 |\n| Hunan | 0.31 | 0.20 |\n| Jiangsu | 0.29 | 0.12 |\n| Jiangxi | 0.26 | 0.20 |\n| Jilin | 0.33 | 0.30 |\n| Liaoning | 0.32 | 0.32 |\n| Shaanxi | 0.27 | 0.23 |\n| Shandong | 0.37 | 0.29 |\n| Shanghai | 0.18 | 0.05 |\n| Shanxi | 0.35 | 0.40 |\n| Sichuan | 0.37 | 0.24 |\n| Tianjin | 0.27 | 0.21 |\n| Yunnan | 0.27 | 0.17 |\n| Zhejiang | 0.31 | 0.10 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a3c4372cd22e23f18fae43580a13622b.png", "anno": "| | |\n| --- | --- |\n| CNN | 0.292 |\n| LSTM | 0.297 |\n| ELM | 0.301 |\n| SVM | 0.305 |\n| RF | 0.315 |\n| LR | 0.324 |\n| ELM | 0.286 |\n| SVM | 0.289 |\n| RF | 0.294 |\n| $ LR_{a} $ | 0.298 |\n| $ LGB_{a} $ | 0.302 |\n| $ XGB_{a} $ | 0.307 |\n| CNN | 0.309 |\n| LSTM | 0.310 |\n| ELM | 0.318 |\n| SVM | 0.327 |\n| RF | 0.276 |\n| $ LR_{a} $ | 0.279 |\n| $ LGB_{a} $ | 0.283 |\n| $ XGB_{a} $ | 0.288 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/ea703c9e984e291b1807475832c49db3.png", "anno": "| | Student1 | Student2 | Student3 |\n| --- | --- | --- | --- |\n| Language | 85 | 71 | 100 |\n| Math | 90 | 50 | 82 |\n| English | 77 | 90 | 85 |\n| Physics | 89 | 67 | 78 |\n| Chemistry | 78 | 88 | 60 |\n| Biology | 90 | 60 | 80 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a0e319d6f4db8aad4dd20380508c4b3e.png", "anno": "| | Adelie | Chinstrap | Gentoo |\n| --- | --- | --- | --- |\n| avg_bill_length | 0% | 100% | 89% |\n| avg_bill_dept | 99% | 100% | 0% |\n| avg_flipper_length | 0% | 22% | 100% |\n| g_body_mass | 0% | 2% | 100% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/08cad0278961b5111f8c86cf5473bb97.png", "anno": "| | |\n| --- | --- |\n| Pancreas | 2.50 |\n| Liver | 3.10 |\n| Brain | 3.10 |\n| Heart | 3.60 |\n| Ovary | 3.60 |\n| Bone Marrow | 3.61 |\n| Stomach | 3.80 |\n| Pituitary | 3.85 |\n| Adrenal Gland | 3.85 |\n| Kidney | 3.95 |\n| Breast | 3.95 |\n| Uterus | 4.00 |\n| Colon | 4.05 |\n| Fallopian Tube | 4.06 |\n| Nerve | 4.06 |\n| Skin | 4.06 |\n| Prostate | 4.06 |\n| Adipose Tissue | 4.07 |\n| Small Intestine | 4.07 |\n| Blood Vessel | 4.10 |\n| Salivary Gland | 4.10 |\n| Esophagus | 4.10 |\n| Vagina | 4.20 |\n| Cervix Uteri | 4.50 |\n| Bladder | 4.80 |\n| Thyroid | 5.00 |\n| Testis | 5.60 |\n| Muscle | 5.60 |\n| Lung | 5.80 |\n| Spleen | 5.80 |\n| Blood | 7.00 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2796abf7914eab37d679725bdc442158.png", "anno": "### (B)\n\n| | |\n| --- | --- |\n| ATP | 0.55 |\n| ADP | 0.60 |\n| AMP | 0.56 |\n| GDP | 0.67 |\n| GTP | 0.60 |\n| TMP | 0.54 |\n| CTP | 0.52 |\n| CMP | 0.49 |\n| UTP | 0.45 |\n| UMP | 0.40 |\n| UDP | 0.73 |\n| IMP | 0.57 |\n| GMP | 0.58 |\n| CDP | 0.56 |\n| TTP | 0.62 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/e54a2b92e39d257d12938d71a9590d57.png", "anno": "| | Student.1 | Student.2 | Student.3 |\n| --- | --- | --- | --- |\n| Biology | 8 | 4.5 | 9.8 |\n| Physics | 10 | 20 | 0 |\n| Maths | 4 | 11 | 3 |\n| Sport | 9 | 20 | 4 |\n| English | 8 | 7.8 | 12.5 |\n| Geography | 7.5 | 10.2 | 7.5 |\n| Art | 3 | 0 | 10 |\n| Programming | 0 | 0 | 20 |\n| Music | 20 | 20 | 20 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4fd46346a6de2edc7fc7133ea1582c86.png", "anno": "| | class 1 | class 2 | class 3 | class 4 |\n| --- | --- | --- | --- | --- |\n| prop 1 | 4.00 | 7.90 | 2.20 | 4.40 |\n| | 4.00 | 2.50 | 3.70 | 4.30 |\n| prop 3 | 4.70 | 5.80 | 4.00 | 6.70 |\n| prop 4 | 4.00 | 8.75 | 2.40 | 6.80 |\n| prop 5 | 4.20 | 5.50 | 3.00 | 3.40 |\n| prop 6 | 7.30 | 8.20 | 4.00 | 7.20 |\n| prop 7 | 8.10 | 8.20 | 2.5 | 2.10 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/1afcc284f62277c1998ec0cfa3649c4d.png", "anno": "| | Comments rated 1 | Comments rated 2 | Comments rated 3 | Comments rated 4 | Comments rated 5 |\n| --- | --- | --- | --- | --- | --- |\n| problem | 0.72 | 0.52 | 0.54 | 0.33 | 0.20 |\n| failed | 0.86 | 0.39 | 0.48 | 0.28 | 0.15 |\n| feature | 0.30 | 0.41 | 0.55 | 0.74 | 0.76 |\n| great | 0.30 | 0.42 | 0.54 | 0.76 | 0.80 |\n| love | 0.28 | 0.30 | 0.45 | 0.52 | 0.76 |\n| powerful | 0.38 | 0.40 | 0.49 | 0.58 | 0.70 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/98441dc97d27424a1433702ce128fcf5.png", "anno": "| | GLM-4.1V-9B-Thinking | Qwen2.5-VL-7B | Qwen2.5-VL-72B | GPT-4o-2024-11-20 |\n| --- | --- | --- | --- | --- |\n| STEM | 69.6 | 54.5 | 64.7 | 62.6 |\n| General VQA | 76.7 | 64.9 | 73.1 | 73.8 |\n| Long Document | 42.3 | 25.0 | 35.0 | 40.7 |\n| GUI Agents | 52.7 | 27.2 | 40.3 | 43.6 |\n| Video Understanding | 61.0 | 57.5 | 65.3 | 64.5 |\n| OCR & Chart | 64.2 | 49.6 | 56.6 | 57.6 |\n| Coding | 68.4 | 23.6 | 44.1 | 55.0 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/af5979fcde2598bbc00785b1ccf18ff6.png", "anno": "### Polar Area Chart Demo\n| | 5 m/s or above | 1 - 5 m/s | less than 1 m/s |\n| --- | --- | --- | --- |\n| North | 16.5% | 11.5% | 5% |\n| North East | 7.5% | 6.5% | 3% |\n| East | 22% | 17% | 10% |\n| South East | 7% | 6% | 4% |\n| South | 17% | 7% | 2.5% |\n| South West | 13% | 8.5% | 5% |\n| West | 5% | 4% | 2% |\n| North West | 11% | 7% | 5% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/59935696a3a0d41b094cbbc5df7e90ba.png", "anno": "| | Ferrari Dino | Ford Pantera L | Maserati Bora | Volvo 142E |\n| --- | --- | --- | --- | --- |\n| mpg | 40% | 23% | 19% | 47% |\n| cyl | 50% | 100% | 100% | 0% |\n| disp | 18% | 70% | 57% | 12% |\n| hp | 43% | 75% | 100% | 20% |\n| drat | 39% | 68% | 36% | 62% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/d3b76eae3a10f4b3e80648f00510f07c.png", "anno": "| | |\n| --- | --- |\n| ACC | -0.05 |\n| UVM | -0.2 |\n| UCS | 0.00 |\n| UCEC | 0..02 |\n| THYM** | 0.28 |\n| THCA* | -0.11 |\n| TGCT | -0.03 |\n| STAD*** | 0.18 |\n| SKCM | -0.02 |\n| SARC | 0.01 |\n| READ | 0.03 |\n| PRAD | 0.09 |\n| PCPG | -0.02 |\n| PAAD | -0.03 |\n| OV | 0.10 |\n| MESO | 0.04 |\n| LUSC | 0.08 |\n| LUAD*** | 0.18 |\n| LIHC | -0.08 |\n| LGG** | 0.14 |\n| LAML* | 0.34 |\n| KIRP | -0.09 |\n| KIRC | -0.10 |\n| KICH | 0.10 |\n| HNSC* | -0.09 |\n| GBM | -0.01 |\n| ESCA | 0.01 |\n| DLBC | -0.15 |\n| COAD* | -0.13 |\n| CHOL | 0.23 |\n| CESC | -0.02 |\n| BRCA | -0.03 |\n| BLCA | 0.03 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/dae70a93eeb66ca30aa11111ee8e6388.png", "anno": "| | 2012 | 2020 |\n| --- | --- | --- |\n| Anhui | 0.30 | 0.14 |\n| Beijing | 0.11 | 0.15 |\n| Chongqing | 0.47 | 0.27 |\n| Fujian | 0.34 | 0.25 |\n| Gansu | 0.39 | 0.27 |\n| Guangdong | 0.39 | 0.23 |\n| Guangxi | 0.30 | 0.34 |\n| Guizhou | 0.29 | 0.30 |\n| Hebei | 0.37 | 0.34 |\n| Heilongjiang | 0.38 | 0.32 |\n| Henan | 0.26 | 0.23 |\n| Hubei | 0.24 | 0.11 |\n| Hunan | 0.31 | 0.20 |\n| Jiangsu | 0.29 | 0.12 |\n| Jiangxi | 0.26 | 0.20 |\n| Jilin | 0.33 | 0.30 |\n| Liaoning | 0.32 | 0.32 |\n| Shaanxi | 0.27 | 0.23 |\n| Shandong | 0.37 | 0.29 |\n| Shanghai | 0.18 | 0.05 |\n| Shanxi | 0.35 | 0.40 |\n| Sichuan | 0.37 | 0.24 |\n| Tianjin | 0.27 | 0.21 |\n| Yunnan | 0.27 | 0.17 |\n| Zhejiang | 0.31 | 0.10 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/dfd9a61c89097ec5403b157b376241b4.png", "anno": "| | Qwen-72B | Llama-2-70B | GPT-3.5 | GPT-4 |\n| --- | --- | --- | --- | --- |\n| MMLU | 77.6 | 69.7 | 69.7 | 87.4 |\n| C-Eval | 82.5 | 50.1 | 52.1 | 69.7 |\n| GSM8K | 78.6 | 62.9 | 77.6 | 92.3 |\n| MATH | 35.5 | 13.4 | 27.8 | 45.6 |\n| HumanEval | 35.0 | 30.5 | 72.3 | 74.1 |\n| MBPP | 52.1 | 45.0 | 60.0 | 61.4 |\n| BBH | 67.8 | 64.8 | 69.7 | 86.4 |\n| AGIEval | 62.7 | 54.4 | 40.1 | 55.4 |\n| Gaokao-Bench | 87.5 | 3.2 | 51.3 | 72.2 |\n| CMMLU | 83.4 | 53.9 | 53.9 | 71.1 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/8e319cc7b91edd4bd21cbcd14a77fa68.png", "anno": "| | prop 2 | prop 1 | prop7 | prop 6 | prop 5 | prop 4 | prop 3 |\n\n| --- | --- | --- | --- | --- | --- | --- | --- |\n\n| | 4.2 | 4.2 | 2.0 | 7.0 | 2.0 | 6.8 | 6.8 |\n\n| | 2.5 | 8.0 | 8.2 | 8.3 | 5.5 | 8.75 | 5.8 |\n\n| | 3.8 | 4.0 | 8.2 | 7.4 | 4.2 | 4.1 | 4.5 |\n\n| | 3.7 | 2.2 | 2.5 | 3.8 | 2.8 | 2.4 | 3.8 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/3c661781b6f2695c935ec9811cf5ac89.png", "anno": "### EM Field Strength\n\n| | Above 100MHz | Below 100MHz |\n| --- | --- | --- |\n| 0 | 5.1 | 8 |\n| 30 | 1.5 | 5 |\n| 60 | 5.2 | 6.7 |\n| 90 | 4 | 9 |\n| 120 | 1.7 | 8.7 |\n| 150 | 9.9 | 5.5 |\n| 180 | 9.4 | 3 |\n| 210 | 2.2 | 7.1 |\n| 240 | 3.7 | 8 |\n| 270 | 9 | 5 |\n| 300 | 5 | 1.5 |\n| 330 | 6 | 8.3 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/b501be73bbc7a6d4b82188d2567cc170.png", "anno": "| | Other | Account Access | Performance | Billing | Login |\n| --- | --- | --- | --- | --- | --- |\n| 8:00 AM | 70 | 150 | 200 | 215 | 435 |\n| 9:00 AM | 101 | 170 | 175 | 205 | 370 |\n| 10:00 AM | 130 | 200 | 151 | 220 | 190 |\n| 11:00 AM | 130 | 150 | 140 | 245 | 115 |\n| 12:00 PM | 123 | 117 | 108 | 123 | 118 |\n| 1:00 PM | 108 | 148 | 152 | 132 | 128 |\n| 2:00 PM | 106 | 132 | 120 | 102 | 97 |\n| 3:00 PM | 102 | 80 | 390 | 90 | 120 |\n| 4:00 PM | 97 | 90 | 333 | 89 | 120 |\n| 5:00 PM | 72 | 111 | 346 | 40 | 113 |\n| 6:00 PM | 116 | 156 | 80 | 40 | 119 |\n| 7:00 PM | 119 | 114 | 73 | 7 | 140 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2c50cc52aad0dd47a48e65fc8a9f196d.png", "anno": "| | | |\n| --- | --- | --- |\n| ADORA2A | 0.7 | p=0.024 |\n| BTLA | -0.7 | p=0.674 |\n| CD160 | 0.8 | p=0.062 |\n| CD244 | 0.3 | p<0.001 |\n| CD274 | 0.5 | p<0.001 |\n| CD96 | 0.9 | p<0.001 |\n| CSF1R | -0.45 | p<0.001 |\n| CTLA4 | 0.5 | p<0.001 |\n| HAVCT2 | 0.7 | p<0.001 |\n| IDO1 | 0.2 | p<0.001 |\n| IL10 | 0.8 | p<0.001 |\n| IL10RB | -0.55 | p<0.001 |\n| KDR | 0.55 | p<0.001 |\n| KIR2DL1 | -0.55 | p<0.001 |\n| KIR2DL3 | 0.65 | p<0.001 |\n| LAG3 | 0.15 | p<0.001 |\n| LGALS9 | 0.2 | p<0.001 |\n| PDCD1 | -0.2 | p<0.001 |\n| PDCD1LG2 | 0.4 | p<0.001 |\n| PVRL2 | 0.4 | p<0.001 |\n| TGFB1 | 1.0 | p<0.001 |\n| TGFBR1 | -0.15 | p<0.001 |\n| TIGIT | -0.8 | p<0.001 |\n| VTCN1 | 0.5 | p<0.001 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/63b65659035b4feeb3195d3479641f81.png", "anno": "### Carbon productivity of provinces in China, 2010\n\n| | |\n| --- | --- |\n| Beijing | 4.750 |\n| Tianjin | 2.200 |\n| Hebei | 1.250 |\n| Shanxi | 0.500 |\n| Inner Mongolia | 0.750 |\n| Liaoning | 1.200 |\n| Jilin | 1.300 |\n| Heilongjiang | 1.250 |\n| Shanghai | 3.300 |\n| Jiangsu | 2.600 |\n| Zhejiang | 2.600 |\n| Anhui | 1.500 |\n| Fujian | 2.900 |\n| Jiangxi | 2.250 |\n| Shandong | 1.600 |\n| Henan | 1.500 |\n| Hubei | 1.700 |\n| Hunan | 2.200 |\n| Guangdong | 3.600 |\n| Guangxi | 2.400 |\n| Hainan | 1.500 |\n| Chongqing | 1.850 |\n| Sichuan | 2.200 |\n| Guizhou | 0.700 |\n| Yunnan | 1.300 |\n| Shaanxi | 1.000 |\n| Gansu | 0.900 |\n| Qinghai | 1.200 |\n| Ningxia | 0.300 |\n| Xinjiang | 0.700 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/953dcdc02a05349bb63cfb9a50f36ac7.png", "anno": "| | Classical Models-Specific Models | All Spark(This work) |\n| --- | --- | --- |\n| RGB-FewShot (UC Merced) | 73.52 | 97.64 |\n| 3D-FewShot (ShapeNet) | 78.77 | 82.12 |\n| Table (PRSA) | 32.8 | 29.03 |\n| MSI (EuroSAT) | 93.94 | 94.03 |\n| HIS (PaviaU) | 90.71 | 89.18 |\n| RGB (NWPU 2:8) | 95.69 | 94.85 |\n| Code (CodeSearchNet) | 0.606 | 0.635 |\n| 3D (ModelNet40) | 91.9 | 91.2 |\n| Trajectory (ETH-UCY) | 0.43 | 0.47 |\n| SAR (MSTAR) | 99.13 | 97.24 |\n| Graph (METR-LA) | 3.62 | 3.81 |\n| Text (IMDB) | 95.49 | 96.78 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/07e169f7a5583d1735f374fb8ea10ab9.png", "anno": "| | obj1 | obj2 | obj3 |\n| --- | --- | --- | --- |\n| factor1 | 9% | 66% | 65% |\n| factor2 | 65% | 85% | 66% |\n| factor3 | 0% | 23% | 66% |\n| factor4 | 50% | 71% | 52% |\n| factor5 | 23% | 93% | 25% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/91d9a826241b8d5ef223dd0c3f061b8e.png", "anno": "| | a | b |\n| --- | --- | --- |\n| Design | 70 | 30 |\n| Development | 60 | 70 |\n| Marketing | 50 | 60 |\n| Users | 40 | 50 |\n| Test | 60 | 70 |\n| Language | 70 | 52 |\n| Technology | 50 | 40 |\n| Support | 30 | 40 |\n| Sales | 60 | 40 |\n| UX | 50 | 60 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7c2f8caf84ac86ba6ec32e11203f7416.png", "anno": "### Example\n\n| | |\n| --- | --- |\n| one | 0.72 |\n| two | 0.63 |\n| three | 0.5 |\n| four | 0.72 |\n| five | 0.25 |\n| six | 0.6 |\n| seven | 0.35 |\n| eight | 0.86 |\n| nine | 0.67 |\n| ten | 0.55 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/3e84f2d37b53eea451ef9871fa3d7530.png", "anno": "| | Temps Attente | Accueil | Ecoute | Professionnalisme | Réponse obtenue | Recommandation |\n| --- | --- | --- | --- | --- | --- | --- |\n| Moyenne | 170 | 320 | 310 | 385 | 380 | 370 |\n| Jennifer | 100 | 400 | 200 | 300 | 500 | 300 |\n| Zone 1 | 100 | 100 | 100 | 100 | 100 | 100 |\n| Zone 2 | 200 | 200 | 200 | 200 | 200 | 200 |\n| Zone 3 | 300 | 300 | 300 | 300 | 300 | 300 |\n| Zone 4 | 400 | 400 | 400 | 400 | 400 | 400 |\n| Zone 5 | 500 | 500 | 500 | 500 | 500 | 500 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/03bb4a1e74e6d9357b6e4ad532b5d772.png", "anno": "| | CHN | RUS | UK | USA |\n| --- | --- | --- | --- | --- |\n| Apple | 85% | 90% | 42% | 35% |\n| Google | 3% | 92% | 52% | 97% |\n| Amozon | 48% | 48% | 98% | 53% |\n| Tencent | 57% | 90% | 11% | 65% |\n| Alibaba | 3% | 92% | 35% | 30% |\n| Baidu | 72% | 100% | 66% | 92% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4e23d16f41d4091591524e0d8557e065.png", "anno": "| | |\n| --- | --- |\n| N | 2.5% |\n| NNE | 1.0% |\n| NE | 0.0% |\n| ENE | 0.5% |\n| E | 0.0% |\n| ESE | 0.0% |\n| SE | 0.0% |\n| SSE | 0.3% |\n| S | 2.0% |\n| SSW | 8.0% |\n| SW | 15.2% |\n| WSW | 12.0% |\n| W | 25.0% |\n| WNW | 19.5% |\n| NW | 7.5% |\n| NNW | 7.0% |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/295e5123aedfb661f93999f2c82cf8a3.png", "anno": "### Freight cargo delivery is taking longer than at any point during the pandemic.\n#### In July and August, delivery averaged more than 69 days\n#### In March 2020, when the U.S. reported its first coronavirus cases,cargo delivery on average took 56.3 days\n\n| | |\n| --- | --- |\n| Jan. 2020 | 88 |\n| Feb. | 45 |\n| March | 56.3 |\n| April | 50 |\n| May | 46 |\n| June | 44 |\n| July | 44 |\n| Aug. | 48 |\n| Sept. | 50 |\n| Oct. | 50 |\n| Nov. | 52 |\n| Dec. | 53 |\n| Jan. 2021 | 58 |\n| Feb. | 62 |\n| March | 64 |\n| April | 68 |\n| May | 66 |\n| June | 64 |\n| July | 67 |\n| Aug. 2021 | 69 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2dbf5fac0b2e2772d4fef1534e7fba6c.png", "anno": "### TP53 mRNA stemness\n| | |\n| --- | --- |\n| BLCA | 0.00 |\n| BRCA | -0.10 |\n| CESC | 0.10 |\n| CHOL | 0.05 |\n| COAD | 0.05 |\n| DLBC | 0.05 |\n| ESCA | 0.10 |\n| GBM | -0.10 |\n| HNSC | 0.00 |\n| KICH | -0.60 |\n| KIRC | -0.35 |\n| KIRP | -0.10 |\n| LAML | 0.30 |\n| LGG | 0.20 |\n| LIHC | -0.20 |\n| LUAD | 0.00 |\n| LUSC | 0.05 |\n| MESO | -0.05 |\n| OV | -0.05 |\n| PAAD | -0.05 |\n| PCPG | -0.25 |\n| PRAD | 0.10 |\n| READ | 0.15 |\n| SARC | -0.25 |\n| SKCM | -0.20 |\n| STAD | 0.08 |\n| TGCT | -0.20 |\n| THCA | -0.25 |\n| THYM | 0.40 |\n| UCEC | -0.02 |\n| UCS | 0.00 |\n| UVM | 0.02 |", "chart_type": "雷达图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/93a24b64ec5aae04247fd7d5a3471e8d.png", "anno": "| | |\n| --- | --- |\n| 柔和度 | 4.9分 |\n| 饱和度 | 4.9分 |\n| 响度 | 4分 |\n| 临场感 | 4.8分 |\n| 失真 | 4.9分 |\n| 结像力 | 4.8分 |\n| 层次感 | 4.7分 |\n| 音色 | 4.8分 |\n| 饱满度 | 4.9分 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b5e5554645b944c2a23be3f42c593bfc.png", "anno": "| | |\n| --- | --- |\n| 言语智能 | 41 |\n| 逻辑-数学智能 | 23 |\n| 空间智能 | 29 |\n| 身体-运动智能 | 24 |\n| 音乐智能 | 41 |\n| 人际智能 | 47 |\n| 自我认知智能 | 46 |\n| 自然观察智能 | 19 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/3e6db8f10c8f204111c70d67b03fa97d.png", "anno": "| | 代表荣欣酒店 | 代表天诚酒店 | 代表楚遇酒店 |\n| --- | --- | --- | --- |\n| 餐饮质量（100%） | 48% | 80% | 70% |\n| 服务态度（100%） | 60% | 100% | 80% |\n| 周边交通（100%） | 92% | 72% | 50% |\n| 价格标准（100%） | 92% | 30% | 92% |\n| 配套设施（100%） | 40% | 100% | 92% |\n| 卫生情况（100%） | 50% | 92% | 80% |\n| 安全程度（100%） | 50% | 80% | 70% |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/88a1b6e65e9a6ddd5f89a6f56a94b0b1.png", "anno": "| | |\n| --- | --- |\n| 安徽 | 92% |\n| 福建 | 93% |\n| 河南 | 95% |\n| 湖南 | 61% |\n| 吉林 | 74% |\n| 江苏 | 90% |\n| 青海 | 55% |\n| 陕西 | 94% |\n| 辽宁 | 78% |\n| 海南 | 84% |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/9eb66472366fd5eb7cfed5a4d910b351.png", "anno": "| | |\n| --- | --- |\n| 财富 | 20% |\n| 健康 | 34% |\n| 人际关 | 33% |\n| 快乐 | 50% |\n| 学习 | 72% |\n| 自我实现 | 66% |\n| 事业 | 50% |\n| 家庭 | 70% |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/04dd8ed89ff733b29991c2860d051858.png", "anno": "| | 根据本发明的样品2a | 比较样品A |\n| --- | --- | --- |\n| 抗拉强度 | 90 | 100 |\n| 拉伸模量 | 100 | 100 |\n| 弯曲强度 | 100 | 100 |\n| 弯曲模量 | 100 | 100 |\n| 冲击强度 | 128 | 100 |\n| 熔体流动指数 | 64 | 100 |\n| 热变形温度 | 103 | 100 |\n| 维卡软化温度 | 101 | 100 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/4048d7aaedd98099b19b59326c340667.png", "anno": "### 第6、7题图\n\n| | 1977年 | 2017年 |\n| --- | --- | --- |\n| 出生率(‰) | 18 | 11 |\n| 自然增长率(‰) | 10.5 | 5.5 |\n| 死亡率(‰)| 6 | 5 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/f61fc8247c90c231b40bd146b11ed1e8.png", "anno": "### #2战斗力1411\n#### 红色为AD平均值\n\n| AD | | 战斗力 | AD平均值 |\n| --- | --- | --- | --- |\n| KDA | #1 | 11.29 | 5.15 |\n| 击杀助攻 | #1 | 7.6+8.2 | 4.6+5.8 |\n| 分均伤害 | #5 | 835.1 | 781.1 |\n| 分均补刀 | #1 | 10.05 | 9.26 |\n| 分均经济 | #1 | 521.1 | 445.9 |\n| 伤害占比 | #7 | 29.8% | 28.9% |\n| 伤转 | #14 | 160.3% | 175.5% |\n| 生存能力 | #2 | -1.40 | -2.36 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a0327d2ab360c43de45ea4f7dbf48d26.png", "anno": "### 练习：圆满人生坐标图\n\n| | 财富 | 健康 | 人际关系 | 快乐 | 学习 | 自我实现 | 事业 | 家庭 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| | 5 | 80 | 50 | 50 | 20 | 20 | 20 | 50 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d94ef036b7c3cc9192147d62ff70216b.png", "anno": "| | 当前评价 | 上期评价 |\n| --- | --- | --- |\n| 心理承受 | 80 | 60 |\n| 标的研究 | 72 | 86 |\n| 持仓仓位 | 85 | 78 |\n| 资金收益 | 80 | 55 |\n| 市场热度 | 60 | 40 |\n| 交易决策 | 70 | 90 |\n| 身体健康 | 90 | 60 |\n| 知识储备 | 90 | 75 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/0c3b8410dd1e697195eb98d67f698437.png", "anno": "### 图2-6 不均衡的六维领导力\n#### 这位管理者的六维领导力评分为：决断力5分，影响力4分，践行力4分，教导力3分，组织力3分，学习力2分。\n| 领导力 | 评分 |\n| --- | --- |\n| 决断力 determination | 5分 |\n| 教导力 teaching | 3分 |\n| 影响力 influence | 4分 |\n| 践行力 implement | 4分 |\n| 学习力 learning | 2分 |\n| 组织力 organization | 3分 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/12585839ca9485d9104408548d3a1824.png", "anno": "| | 2016年 | 2015年 |\n| --- | --- | --- |\n| 宏观经济竞争力 | 6 | 5 |\n| 产业经济竞争力 | 7 | 7 |\n| 可持续发展竞争力 | 1 | 1 |\n| 财政金融竞争力 | 1 | 1 |\n| 知识经济竞争力 | 3 | 3 |\n| 发展环境竞争力 | 4 | 2 |\n| 政府作用竞争力 | 8 | 7 |\n| 发展水平竞争力 | 4 | 4 |\n| 统筹协调竞争力 | 1 | 6 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d359b8807d50b37ea27fa5b8990bab13.png", "anno": "| | 紫色 | 灰色 |\n| --- | --- | --- |\n| 性感 | 4.3 | 2 |\n| 温柔 | 7 | 7 |\n| 自信 | 6 | 6 |\n| 绽放 | 5 | 3.8 |\n| 包容 | 8 | 7 |\n| 稳定 | 8 | 7 |\n| 担当 | 9 | 7 |\n| 远见 | 8 | 7 |\n| 可爱 | 7 | 6 |\n| 有趣 | 7 | 5 |\n| 好奇 | 7 | 4.8 |\n| 真实 | 8 | 6 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/1e2684fa84dd2880472f354d0dd70e3e.png", "anno": "### 三国超一流统帅\n| | 统率 | 武力 | 智力 | 政治 | 魅力 |\n| --- | --- | --- | --- | --- | --- |\n| 关羽 | 95 | 97 | 75 | 63 | 94 |\n| 吕布 | 87 | 100 | 27 | 13 | 40 |\n| 赵云 | 91 | 97 | 76 | 65 | 80 |\n| 张辽 | 93 | 92 | 80 | 59 | 80 |\n| 马超 | 90 | 98 | 45 | 27 | 72 |\n| 孙策 | 91 | 91 | 69 | 70 | 91 |\n| 张飞 | 85 | 99 | 30 | 21 | 47 |\n| 孙坚 | 93 | 90 | 75 | 74 | 89 |\n| 邓艾 | 95 | 88 | 90 | 80 | 70 |\n| 甘宁 | 86 | 94 | 78 | 60 | 19 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d0d0c6ab63354758e78285fff099c88b.png", "anno": "| | 美国 | 巴西 |\n| --- | --- | --- |\n| 自主 | 3.3 | 1.7 |\n| 个人主义 | 3.6 | 1.71 |\n| 阶层观念 | 3.4 | 5.5 |\n| 身份观念 | 3.75 | 5 |\n| 谨慎 | 3 | 4 |\n| 富有同情心 | 5.3 | 3.8 |\n| 煽动性 | 2.4 | 5.7 |\n| 独立性 | 3.7 | 1.6 |\n| 风险承担 | 4.4 | 3.5 |\n| 避免群体内冲突 | 3 | 5.3 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/ec8e4404a7cc9d3a9f222519ec064f18.png", "anno": "### ——的五因素模型\n\n| | |\n| --- | --- |\n| 开放性 | 2 |\n| 神经质 | 2 |\n| 宜人性 | 5 |\n| 外向性 | 3 |\n| 尽责性 | 3 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/ff5430001f49ac811c0de9e2695ec9e3.png", "anno": "### 圆形模型雷达图\n\n| | 以客为单 | 核心能力X | 领导能力 | 决策能力 | 组织协调 | 项目管理 | 专业能力1 | 专业能力2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 红色 | 40 | 40 | 30 | 30 | 30 | 30 | 40 | 40 |\n| 蓝色 | 30 | 30 | 30 | 20 | 20 | 20 | 30 | 30 |\n| 紫色 | 30 | 30 | 30 | 25 | 20 | 25 | 40 | 25 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c997dc5433349a00c8895c50f673e841.png", "anno": "### 2023全球总决赛瑞士轮数据雷达图（中单）\n\n| | Xiaohu | 中单位平均数据 |\n| --- | --- | --- |\n| KDA | 6.53 | 5.15 |\n| 场均击杀 | 3.62 | 3.05 |\n| 分均伤害 | 578.33 | 552.03 |\n| 分均补刀 | 8.15 | 8.28 |\n| 分均经济 | 428.28 | 406.90 |\n| 伤转-百分比 | 135% | 133% |\n| 伤害占比-百分比 | 24.0% | 25.9% |\n| 参团率-百分比 | 69.0% | 67.0% |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/af951bb55a9970a62b0252039e21c534.png", "anno": "| | 1999年-单位：米 | 2009年-单位：米 |\n| --- | --- | --- |\n| 正北 | 2511 | 2400 |\n| 东北 | 2640 | 2569 |\n| 正东 | 2721 | 2632 |\n| 东南 | 2767 | 2730 |\n| 正南 | 2720 | 2676 |\n| 西南 | 2628 | 2628 |\n| 正西 | 2543 | 2500 |\n| 西北 | 2500 | 2411 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d782c281c170a0121001da080714a434.png", "anno": "| | | | | |\n| --- | --- | --- | --- | --- |\n| 企业文化 | 4 | 4 | 3 | 3 |\n| 品牌 | 5 | 4 | 4 | 3 |\n| 技术及产品创新 | 4 | 4 | 4 | 3 |\n| 顾客市场研究及新品开发 | 4 | 3 | 4 | 3 |\n| 产品质量安全 | 4 | 5 | 3 | 4 |\n| 营销模式 | 3 | 3 | 4 | 3 |\n| 人力资源 | 4 | 4 | 4 | 4 |\n| 知识管理 | 5 | 3 | 2 | 2 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d1f044e27c1dad7b83532f8c2f47560c.png", "anno": "| | |\n| --- | --- |\n| 身高 | 60 |\n| 身高标准体重 | 100 |\n| 10米折返跑 | 70 |\n| 立定跳远 | 50 |\n| 网球掷远 | 20 |\n| 双脚连续跳 | 70 |\n| 坐位体前屈 | 40 |\n| 走平衡木 | 10 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/142cde18907f2ab39b444d0498e17006.png", "anno": "| | |\n| --- | --- |\n| 1.1法人治理结构 | 92.3% |\n| 1.2博物馆章程与发展规划 | 74.8% |\n| 1.3建筑与环境 | 79.5% |\n| 1.4人力资源 | 71.7% |\n| 1.5财务管理 | 68.0% |\n| 1.6安全保障 | 80.8% |\n| 1.7信息化建设 | 61.7% |\n| 2.1藏品管理 | 71.2% |\n| 2.2学术研究与科技 | 31.4% |\n| 3.1影响力 | 56.3% |\n| 3.2展示和教育 | 69.2% |\n| 3.3公众服务 | 68.7% |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/e1d1a7048b718fe0038e3a6713ca310a.png", "anno": "| | |\n| --- | --- |\n| 模型平台 | 4.9 |\n| 模型微调 | 4.8 |\n| 模型能力 | 4.8 |\n| 内容安全 | 4.8 |\n| 服务能力 | 5 |\n| 生态合作 | 5 |\n| 大模型+一网通办 | 4 |\n| 大模型+一网协同 | 4 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2cfdc491f34963f30e7656ba8568663f.png", "anno": "### 雷达图示意（竞争力视角）\n\n| | 品牌 |\n| --- | --- |\n| 形象 Image | 4 |\n| 顾客 Customer | 4 |\n| 渠道 Channel | 3 |\n| 识别 Visual | 2 |\n| 影响力 Influence | 3 |\n| 产品 Product | 4 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/1d2da02f1d156a62b7c4376e68b7bc8d.png", "anno": "| | |\n| --- | --- |\n| 身高标准体重 | 5 |\n| 仰卧起坐 | 5 |\n| 纵跳 | 4 |\n| 握力 | 3 |\n| 反应时 | 4 |\n| 单脚站立 | 5 |\n| 台阶指数 | 1 |\n| 肺活量 | 2 |\n| 体前屈 | 2 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/0f7e7af30024fdac42731ee950671aff.png", "anno": "| | Nokia | Ericsson | Siemens | H企业 |\n| --- | --- | --- | --- | --- |\n| 价格 | 6 | 5 | 5 | 9 |\n| 供货 | 6 | 6 | 6 | 9 |\n| 外观因素 | 7 | 7 | 7 | 6 |\n| 功能 | 6 | 8 | 7 | 6 |\n| 易用性 | 6 | 7 | 7 | 7 |\n| 质量保证 | 7 | 7 | 7 | 6 |\n| 维护成本 | 7 | 8 | 7 | 6 |\n| 品牌 | 6 | 8 | 7 | 5 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d4000ce85e2bcc7aba1e14f498e21580.png", "anno": "雷达图1(0,0),(0,0)\n| | |\n| --- | --- |\n| 盈利性
-毛利率
-利润率
-净利率-
总资产收益率
-净资产收益率 | 50 |\n| 流动性
-流动比率
-速动比率
-现金比率-应收帐周转率
-存货周转率
-流动资产周转率
-总资产周转率 | 70 |\n| 成长性
-总资产负债率
-产权负债率 | 8 |\n| 安全性
-总资产负债率
-产权负债率 | 80 |\n| 生产性
-销售成本率 | 50 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/babf599816a4c9367489dcb3f9a57086.png", "anno": "### 图2 能力提高点设置\n\n| | |\n| --- | --- |\n| 品质 | 3 |\n| 技巧 | 4 |\n| 创新 | 5 |\n| 研究 | 4 |\n| 综合技能 | 5 |\n| 思想 | 4 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/768480de27b22530cfa7c8a4b18290af.png", "anno": "### 1. 广东省经济综合竞争力一级指标概要分析\n#### 2016~2017 年广东省经济综合竞争力二级指标比较雷达图\n| 指标 | 2017年 | 2016年 |\n| --- | --- | --- |\n| 宏观经济竞争力 | 1 | 1 |\n| 产业经济竞争力 | 1 | 1 |\n| 可持续发展竞争力 | 8 | 3 |\n| 财政金融竞争力 | 3 | 3 |\n| 知识经济竞争力 | 1 | 1 |\n| 发展环境竞争力 | 4 | 4 |\n| 政府作用竞争力 | 1 | 6 |\n| 发展水平竞争力 | 3 | 3 |\n| 统筹协调竞争力 | 5 | 6 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/3ea3d1ad75e48ca6fb3b2293768d35e5.png", "anno": "| | |\n| --- | --- |\n| 习惯1 接纳原本的自己 | 3 |\n| 习惯2 改变看法而非别人 | 3.8 |\n| 习惯3 彻底地具体化 | 4 |\n| 习惯4 从各种视角来看问题 | 2 |\n| 习惯5 专注于能做的事 | 2 |\n| 习惯6 接受命运 | 3 |\n| 习惯7 放弃完美主义 | 4.2 |\n| 习惯8 看事物积极的一面 | 4 |\n| 习惯9 活在当下 | 2.6 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/3e198c38b8a272892b030e31962b7f2c.png", "anno": "| | |\n| --- | --- |\n| 身高标准体重 | 5 |\n| 仰卧起坐 | 5 |\n| 纵跳 | 3 |\n| 握力 | 5 |\n| 反应时 | 4 |\n| 单脚站立 | 4 |\n| 台阶指数 | 4 |\n| 肺活量 | 4 |\n| 体前屈 | 2 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/19e6b1aa3e8fb5332f7cc6f41b5f4024.png", "anno": "| | |\n| --- | --- |\n| 安徽 | 92% |\n| 福建 | 93% |\n| 河南 | 95% |\n| 湖南 | 61% |\n| 吉林 | 74% |\n| 江苏 | 90% |\n| 青海 | 55% |\n| 陕西 | 94% |\n| 辽宁 | 78% |\n| 海南 | 84% |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/db8ec7cd2a0c0e589b192ace84f35ceb.png", "anno": "| | |\n| --- | --- |\n| 冲击 | 5 |\n| 参与 | 4 |\n| 启发 | 5 |\n| 印记 | 4 |\n| 激发 | 3 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/56db2fc9ecab398c497e74160ca86aa8.png", "anno": "### 图8—13 文化竞争力指数组成指标的雷达图\n#### 资料来源：中国社会科学院城市与竞争力指数数据库。\n\n| | |\n| --- | --- |\n| 文化竞争力指数 | 0.4 |\n| 历史文明程度 | 0.5 |\n| 每万人剧场、影剧院数量 | 0.24 |\n| 城市国际知名度 | 0.52 |\n| 每万人文化、体育和娱乐业从业人数 | 0.52 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/8f277d48f2bdc9e657ec26ca3e3ba80a.png", "anno": "| | 上海 | 浙江 |\n| --- | --- | --- |\n| ① | 2.5 | 10 |\n| ② | 6 | 2.5 |\n| ③ | 5 | 13 |\n| ④ | 4 | 27 |\n| ⑤ | 12 | 5 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/17a80050b50055ed88820c1ddb5c6962.png", "anno": "| | |\n| --- | --- |\n| 创新 | 3.9 |\n| 商业成熟度 | 4.4 |\n| 创新与成熟因素 | 4.1 |\n| 市场大小 | 6.9 |\n| 技术准备 | 3.5 |\n| 金融市场发展 | 4.3 |\n| 劳动市场效率 | 4.6 |\n| 商品市场效率 | 4.4 |\n| 高等教育和训练 | 4.4 |\n| 效率增强器 | 4.7 |\n| 健康和基础教育 | 6.1 |\n| 宏观经济环境 | 6.4 |\n| 设施 | 4.7 |\n| 机构 | 4.2 |\n| 基本要求 | 5.3 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b431d797f52c7abe2ef859437608e54d.png", "anno": "| | 亚洲 | 欧洲 | 拉美 |\n| --- | --- | --- | --- |\n| 责任感 | 585 | 595 | 563 |\n| 活力 | 522 | 535 | 527 |\n| 果敢 | 538 | 520 | 515 |\n| 乐群 | 548 | 542 | 522 |\n| 创造力 | 555 | 558 | 563 |\n| 好奇心 | 594 | 578 | 615 |\n| 包容度 | 583 | 590 | 605 |\n| 合作 | 608 | 584 | 608 |\n| 信任 | 535 | 485 | 480 |\n| 共情 | 620 | 590 | 580 |\n| 情绪控制 | 525 | 518 | 515 |\n| 乐观 | 555 | 550 | 555 |\n| 抗压力 | 522 | 505 | 514 |\n| 成就动机 | 595 | 545 | 580 |\n| 自控力 | 575 | 542 | 545 |\n| 毅力 | 585 | 570 | 570 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2eda68e385f358b215f8a9cb0359639f.png", "anno": "### 三国超一流谋士\n\n| | 统率 | 武力 | 智力 | 政治 | 魅力 |\n| --- | --- | --- | --- | --- | --- |\n| 诸葛亮 | 90 | 40 | 100 | 95 | 92 |\n| 荀彧 | 51 | 15 | 95 | 98 | 92 |\n| 司马懿 | 100 | 65 | 98 | 95 | 88 |\n| 贾诩 | 88 | 50 | 100 | 85 | 59 |\n| 郭嘉 | 50 | 15 | 100 | 85 | 79 |\n| 鲁肃 | 80 | 58 | 94 | 90 | 90 |\n| 周瑜 | 99 | 70 | 97 | 86 | 94 |\n| 陆逊 | 95 | 70 | 96 | 88 | 90 |\n| 荀攸 | 73 | 27 | 95 | 90 | 85 |\n| 庞统 | 80 | 35 | 98 | 86 | 70 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/478be8dbeef00ea317e5980fadc4bc6f.png", "anno": "| | 自评 | 上级评价 | 平级评价 | 下级评价 | 综合 |\n| --- | --- | --- | --- | --- | --- |\n| 开拓创新精神 | 90 | 85 | 80 | 85 | 85 |\n| 精品意识 | 95 | 90 | 85 | 90 | 90 |\n| 责任感与担当 | 90 | 90 | 75 | 95 | 89 |\n| 高效执行 | 92 | 83 | 91 | 90 | 90 |\n| 判断和决策能力 | 86 | 80 | 80 | 70 | 80 |\n| 沟通与协调能力 | 91 | 81 | 75 | 80 | 81 |\n| 组织与计划能力 | 91 | 76 | 80 | 76 | 80 |\n| 专业能力 | 93 | 90 | 93 | 102 | 93 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a07d2750b6795c3c936673b0c74e1200.png", "anno": "### 上海市可持续发展能力资产负债图\n\n| | 相对资产 | 相对负债 |\n| --- | --- | --- |\n| 生存系统 | 40 | 50 |\n| 发展系统 | 85 | 20 |\n| 环境系统 | 40 | 60 |\n| 社会系统 | 82 | 20 |\n| 智力系统 | 80 | 20 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/3cac64a7cbfceca20ba97cd465570690.png", "anno": "| | |\n| --- | --- |\n| 职业发展 | 5 |\n| 财务状况 | 5.5 |\n| 健康 | 3 |\n| 娱乐休闲 | 7 |\n| 家庭 | 6 |\n| 朋友与重要他人 | 7.5 |\n| 个人成长 | 7 |\n| 自我实现 | 5 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/daaa1721992e77ccb95ac28ec6033310.png", "anno": "### 棉芯与陶瓷芯各维度对比图\n\n| | 棉芯 | 陶瓷芯 |\n| --- | --- | --- |\n| 口感 | 130 | 108 |\n| 一致性 | 35 | 110 |\n| 满足 | 105 | 105 |\n| 焦味 | 75 | 95 |\n| 漏油率 | 82 | 83 |\n| 吸体验 | 96 | 90 |\n| 品质 | 60 | 100 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/cd447c7137c4184c0c0978966b927dab.png", "anno": "| | 平均最低气温 | 平均最高气温 |\n| --- | --- | --- |\n| 一月 | 2℃ | 6℃ |\n| 二月 | 2℃ | 7℃ |\n| 三月 | 2.5℃ | 10℃ |\n| 四月 | 5℃ | 14℃ |\n| 五月 | 8℃ | 18℃ |\n| 六月 | 10℃ | 20℃ |\n| 七月 | 13℃ | 22℃ |\n| 八月 | 13℃ | 22.4℃ |\n| 九月 | 11℃ | 19℃ |\n| 十月 | 7.5℃ | 15℃ |\n| 十一月 | 5℃ | 10℃ |\n| 十二月 | 2.5℃ | 6.4℃ |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/871bfb4e1603b0a92c310d8333472dee.png", "anno": "### 图3-2 制造企业能力矩阵雷达图\n\n| | |\n| --- | --- |\n| 组织战略 | 3.00 |\n| 人员技能 | 4.00 |\n| 集成 | 3.50 |\n| 信息安全技术 | 3.60 |\n| 数据 | 4.60 |\n| 装备 | 3.40 |\n| 网络 | 4.00 |\n| 产品设计 | 0 |\n| 工艺设计 | 0 |\n| 采购 | 3.00 |\n| 计划与调度 | 3.00 |\n| 生产作业 | 3.10 |\n| 设备管理 | 4.00 |\n| 仓储配送 | 4.00 |\n| 全环保 | 3.80 |\n| 管理 | 4.00 |\n| 物流 | 2.00 |\n| 销售 | 3.00 |\n| 客户服务 | 3.00 |\n| 产品服务 | 2.00 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b49078bea7e80ab0756193c6547fc83a.png", "anno": "### 图4 各二级指标平均得分率对比\n\n| 二级指标 | 平均得分率 |\n| --- | --- |\n| 1.1法人治理结构 | 92.3% |\n| 1.2博物馆章程与发展规划 | 74.8% |\n| 1.3建筑与环境 | 79.5% |\n| 1.4人力资源 | 71.7% |\n| 1.5财务管理 | 68.0% |\n| 1.6安全保障 | 80.8% |\n| 1.7信息化建设 | 61.7% |\n| 2.1藏品管理 | 71.2% |\n| 2.2学术研究与科技 | 31.4% |\n| 3.1影响力 | 56.3% |\n| 3.2展示和教育 | 69.2% |\n| 3.3公众服务 | 68.7% |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/aeccec07bba6be398bc38f76ebdafc8c.png", "anno": "### 官方PMI雷达图\n#### 数据来源：wind，宏观边际MacroMargin\n| | 2025-06 | 2024-07 | 13-19年平均 | 2025-07 |\n| --- | --- | --- | --- | --- |\n| 制造业PMI | 49.6 | 49.4 | 50.6 | 49.4 |\n| 新订单 | 50.2 | 49.3 | 51.4 | 49.3 |\n| 新出口订单 | 47.8 | 49.5 | 49.2 | 47.2 |\n| 生产 | 51.1 | 50.1 | 52.7 | 50.5 |\n| 原材料库存 | 48 | 48 | 48 | 47.6 |\n| 产成品库存 | 48.2 | 47.8 | 47 | 47.4 |\n| 供货商配送时间 | 50.3 | 49.3 | 50.3 | 50.3 |\n| 主要原材料购进价格 | 48.4 | 50 | 52.2 | 51.5 |\n| 出厂价格 | 46.2 | 46.2 | 48.3 | 51 |\n| 从业人员 | 48 | 48 | 48 | 48 |\n| 在手订单 | 45.3 | 45.3 | 45.3 | 44.8 |\n| 采购量 | 50.2 | 49 | 51.3 | 49.7 |\n| 进口 | 48 | 47 | 49 | 48 |\n| 生产经营活动预期 | 52 | 53.3 | 56 | 52.7 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b1d8dfab6d80a7f223c212a2360c6beb.png", "anno": "### 图 3 2007年各行业用钢增长率预测\n\n| 行业 | 2007年各行业用钢增长率预测(%) |\n| --- | --- |\n| 机械 | 18 |\n| 煤炭 | 9 |\n| 造船 | 37 |\n| 集装箱 | 8 |\n| 五金制品 | 10 |\n| 家电 | 9 |\n| 自行车 | 1 |\n| 石油化工 | 14 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/0ccb1d18b4ec96be68e3ff5e45ff94f5.png", "anno": "| | 公司 | 產業 |\n| --- | --- | --- |\n| 現金股利 | 1.0 | 0.6 |\n| ROE | 0.9 | 0.7 |\n| 售貨天數 | 0.5 | 0.4 |\n| 收款天數 | 0.2 | 0.5 |\n| 借款依存度 | 0.5 | 0.3 |\n| 利息支出率 | 0.4 | 0.4 |\n| 速動比率 | 0.7 | 0.7 |\n| 營業利益率 | 1.0 | 0.6 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/ac19fd032bd0cb7a21daf17982df8ce9.png", "anno": "### 图5 社区居民对政府社会治理表现的综合评价\n\n| | |\n| --- | --- |\n| 服务 | 3.5 |\n| 责任 | 3.2 |\n| 法治 | 3.5 |\n| 廉洁 | 3.1 |\n| 效能 | 3.2 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/5bea5d6d3fceb26d4883f71e75315d87.png", "anno": "### ——的五因素模型\n\n| | | |\n| --- | --- | --- |\n| 开放性 | 3 | 高：好奇心 |\n| 神经质 | 2 | 高：愤怒 |\n| 宜人性 | 4 | 高：尊重、宽容、信任 |\n| 外向性 | 4 | 高：主动、热情、合作 |\n| 尽责性 | 3 | 高：自控、坚持 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/6e860636309302005c721ae1723039de.png", "anno": "| | House 1 | House 2 | House 3 |\n| --- | --- | --- | --- |\n| Rent Price | 5 | 3 | 2 |\n| Commuting time | 1 | 3 | 5 |\n| Neighborhood | 4 | 3 | 2 |\n| Amenities | 3 | 1 | 3.5 |\n| Interior design | 2 | 2 | 3 |\n| Crime rate | 2 | 3 | 4 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1963ae6c1f0498df1bccff74ff8ab85a.png", "anno": "| | | | |\n| --- | --- | --- | --- |\n| Reproductive system and breast dis. | 0.0% | 1.0% | 0.0% |\n| Congenital, familial and genet. dis. | 0.0% | 0.0% | 1.0% |\n| Skin and subcutaneous tissue dis. | 4.0% | 4.0% | 4.0% |\n| Cardiac dis. | 0.0% | 0.0% | 1.0% |\n| Endocrine dis. | 0.0% | 0.0% | 0.0% |\n| Vascular dis. | 1.0% | 0.5% | 0.5% |\n| Hepatobiliary dis. | 0.0% | 0.5% | 0.5% |\n| Psychiatric dis. | 1.0% | 1.0% | 0.5% |\n| Eye dis. | 1.0% | 0.5% | 0.5% |\n| Metabolism and nutr. dis. | 1.0% | 0.5% | 2.0% |\n| Nervous syst. dis. | 0.5% | 2.0% | 2.0% |\n| Immune syst. dis. | 1.9% | 1.5% | 1.9% |\n| Gastrointestinal dis. | 6.0% | 7.0% | 7.0% |\n| Surg and med. procedures | 1.0% | 3.0% | 1.0% |\n| Renal and urinary dis. | 1.2% | 1.5% | 1.2% |\n| Respiratory, thoracic and mediastinal dis. | 6.0% | 6.0% | 6.0% |\n| Ear and labyrinth dis. | 0.0% | 0.5% | 0.0% |\n| Social circum. | 0.0% | 0.5% | 0.0% |\n| General dis. and administration site conditions | 6.0% | 5.0% | 5.0% |\n| Blood and lymph system dis. | 3.0% | 0.0% | 5.0% |\n| Injury, poisoning and procedural complications | 3.0% | 8.75% | 9.0% |\n| Neoplasms | 2.5% | 5.0% | 8.75% |\n| Investigations | 13.0% | 9.0% | 16.5% |\n| Musculoskeletal and connective tissue dis. | 10.0% | 16.0% | 4.0% |\n| Infections and infest | 32.0% | 19% | 17.5% |\n| Product issues | 0.0% | 0.0% | 0.0% |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/5749a2062461d1d6d80bf80a0a5d024c.png", "anno": "| | HSI | LIVER Protein | LIVER ACP | LIVER ALP | LIVER GLYCOGEN | LIVER AST | LIVER ALT | MUSCLE Protein | MUSCLE ACP | MUSCLE ALP | MUSCLE GLYCOGEN | GILL Protein | GILL ACP | GILL ALP | GILL GLYCOGEN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CONT | 2.5 | 3 | 1.2 | 3 | 2 | 2.5 | 2.8 | 2.2 | 1.5 | 2.2 | 2.1 | 2 | 2.3 | 2.1 | 2 |\n| EXP-Ⅰ | 2.2 | 2.2 | 1.5 | 2.8 | 2 | 2.7 | 2.3 | 2.2 | 2.6 | 2.5 | 2 | 3 | 2.5 | 2.1 | 1.8 |\n| EXP-Ⅱ | 2 | 2.3 | 1.5 | 2.8 | 1.8 | 2.1 | 3 | 2.1 | 2.5 | 2.8 | 1.8 | 2.5 | 2.5 | 2.5 | 1 |\n| EXP-Ⅲ | 1.8 | 2.2 | 2.5 | 2.7 | 2.3 | 2.5 | 2.8 | 2.3 | 2.1 | 2.8 | 1.8 | 2.3 | 2.4 | 2.6 | 2.3 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/7cbf86ee6cbfa30f30fcb6d44f85c130.png", "anno": "| | gene1 | gene2 | gene3 |\n| --- | --- | --- | --- |\n| LIHC | 1 | -3 | 2 |\n| HNSC | 1 | -2 | 2 |\n| LUSC | 1 | -1 | 2 |\n| LUAD | 1 | 2 | 2 |\n| READ | 1 | 2.4 | 2 |\n| COAD | 1 | 2.2 | 2 |\n| BRCA | 1 | 0 | 2 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/f2dcc67436d5ea7548a711b48858fbe1.png", "anno": "| | |\n| --- | --- |\n| Teratogenicity | 8% |\n| Hepatotoxicity | 49% |\n| Immunotoxicity | 1% |\n| Neurotoxicity | 2% |\n| Nephrotoxicity | 21% |\n| Heart toxicity | 6% |\n| Genotoxicity | 9% |\n| Intestinal toxicity | 7% |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/2fb1f7a8f34a492b6f4678b2e27eabcd.png", "anno": "| | 用户A | 用户B |\n| --- | --- | --- |\n| Design | 75 | 40 |\n| Development | 65 | 70 |\n| Marketing | 60 | 65 |\n| Users | 55 | 60 |\n| Test | 65 | 70 |\n| Language | 75 | 60 |\n| Technology | 70 | 45 |\n| Support | 60 | 45 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/44049e77e406302f43013c6293b26804.png", "anno": "| | Baseline | Week 24 |\n| --- | --- | --- |\n| Pruritus | 4.5 | 2 |\n| Dizziness | 5.9 | 4 |\n| Headache | 4.1 | 3.8 |\n| Fatigue | 8.1 | 4 |\n| Rhinorrhea | 2 | 2 |\n| Dyspnea | 2.1 | 1.8 |\n| Chest pain and palpitations | 2 | 1.9 |\n| Nausea and vomiting | 2 | 4 |\n| Diarrhea and abdominal pain | 5.8 | 4.1 |\n| Musculoskeletal pain | 6.9 | 4 |\n| Concentration problems | 4 | 2.7 |\n| Depression | 6.1 | 3.8 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/3349d95268b7c5d6394579c1a4047fba.png", "anno": "### Pedro Guimaraes Radar\n#### 618 minutes | FB Template | USLC - 2025\n\n| | |\n| --- | --- |\n| Dribbling g+ | 0.03 |\n| Progressive Carries p96 | 0.93 |\n| Passing g+ | 0.03 |\n| Passes Over Expected p100 | 2.65 |\n| Touch % | 3.8% |\n| Turnovers p96 | 6.83 |\n| Fouling g+ | 0.00 |\n| Interrupting g+ | 0.04 |\n| Defensive Actions Won p96 | 9.32 |\n| Aerial Duel Win % | 40.9% |\n| xA p96 | 0.06 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/652d0ec12d1366b0d52e68d7fcd24f96.png", "anno": "### Competitor Analysis Spider Chart\n\n| | Product 1 | Product 2 | Product 3 |\n| --- | --- | --- | --- |\n| Price | 2 | 1 | 4 |\n| Advertisement | 5 | 4 | 3 |\n| After-sales Service | 4 | 2 | 2 |\n| Sales Channel | 3 | 4 | 2 |\n| Quality | 2 | 5 | 1 |\n| Product Durability | 4 | 2 | 3 |\n| Appearance | 1 | 3 | 5 |\n| Diversity | 4 | 3 | 5 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/0c08d90b4d8f6524fcdac825f73df859.png", "anno": "| | Series 1 | Series 2(粉) | Series 2(橙) |\n| --- | --- | --- | --- |\n| Axis Description | 120 | 50 | 76 |\n| Axis Description | 85 | 70 | 85 |\n| Axis Description | 68 | 100 | 115 |\n| Axis Description | 40 | 145 | 83 |\n| Axis Description | 68 | 120 | 89 |\n| Axis Description | 110 | 60 | 75 |\n| Axis Description | 130 | 70 | 85 |\n| Axis Description | 86 | 60 | 125 |\n| Axis Description | 92 | 50 | 103 |\n| Axis Description | 80 | 52 | 68 |\n| Axis Description | 90 | 48 | 34 |\n| Axis Description | 110 | 49 | 63 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/81aa6578fa91fe73de2056e8a15d3bdb.png", "anno": "| | | |\n| --- | --- | --- |\n| GP NR | 0.62 | 0 |\n| Random GP | 0.7 | 0.18 |\n| Not random GP | 0.9 | 0 |\n| Random multistage | 0.95 | 0 |\n| Random stratified | 0.85 | 0.05 |\n| Random regional | 0.65 | 0 |\n| Non-GP NR | 0.55 | 0 |\n| Random non-GP | 0.9 | 0 |\n| Convenient | 0.8 | 0 |\n| Self selection | 0.8 | 0 |\n| Non-GP frame NR | 0.8 | 0 |\n| National databases | 0.9 | 0 |\n| Medical records | 0.95 | 0 |\n| Health care based | 0.78 | 0.4 |\n| NR for controls* | 0.98 | 0 |\n| Cases controls | 0.5 | 0.16 |\n| Clinic based controls* | 0.95 | 0.15 |\n| Bias NR | 0.1 | 0 |\n| Bias assessed | 0.7 | 0.1 |\n| Bias not assessed | 0.8 | 0 |\n| Justified exclusion | 0.9 | 0 |\n| Exclusion by exposure NR | 0.3 | 0.1 |\n| Exclusion by exposure NS | 0.7 | 0.18 |\n| Exclusion by exposure | 0.81 | 0 |\n| Bias NR in analysis | 0.1 | 0 |\n| Weighting by selection | 0.9 | 0.15 |\n| Weighting by non-response | 0.9 | 0 |\n| Post-stratification by age | 0.85 | 0 |\n| Post-stratification by sex | 0.8 | 0.2 |\n| Post-stratification by race | 0.95 | 0 |\n| Bias NA in analysis | 0.8 | 0 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ef1c0d80dc0224e02bab8cbb5835d6ff.png", "anno": "### MIT\n| | MIT |\n| --- | --- |\n| GPA | 3 |\n| Tests | 3 |\n| Secondary School Record | 3 |\n| Class Rank | 3 |\n| Essay | 2 |\n| Particular Talent Ability | 3 |\n| Character Personal... | 4 |\n| Extracurricular Activities | 3 |\n| Recommendations | 2 |\n| Volunteer Work | 2 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/d87946620ac142416bb9efd4ea08a53d.png", "anno": "雷达图1(0,0),(0,0)\n\n| | Aria-UI | Prev. SOTA |\n| --- | --- | --- |\n| Mind2Web-D | 59.5 | 46.6 |\n| Mind2Web-T | 56.1 | 47.7 |\n| Mind2Web-W | 57.0 | 46.0 |\n| MobileMiniWob++ | 60.4 | 48.4 |\n| AndroidWorld | 44.8 | 32.8 |\n| OSWorld | 15.2 | 11.2 |\n| ScreenSpot | 82.4 | 74.1 |\n| AndroidControl | 85.7 | 74.3 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/3fa90c3838aad87d033226462163b380.png", "anno": "### Bowmore 23Y No Corners to Hide 51.5%\n| | |\n| --- | --- |\n| Floral | 5 |\n| Fruity | 5 |\n| Sherried | 0 |\n| Grainy | 2 |\n| Smoky | 4 |\n| Peaty | 6 |\n| Woody | 3 |\n| Spicy | 4 |\n| Waxy | 3 |\n| Salty | 3 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/de0a8a9c5172ced50dca7fa85929e5df.png", "anno": "### Physical Average: 7.5\n\n| | |\n| --- | --- |\n| Aggression | 7 |\n| Ball Protection | 8.1 |\n| Speed | 8 |\n| Strength | 8 |\n| Aerial Duels | 7 |\n| Jumping Reach | 6.7 |\n| Agility | 6.9 |\n| Balance | 6.8 |\n| Aerobic Capacity | 7.1 |\n| Acceleration | 8.1 |\n| Change of Pass | 8 |\n| Physicality | 8.3 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/82ac4d6607f084bf11aa1fcea0467f57.png", "anno": "| | Mode | Mean |\n| --- | --- | --- |\n| The development processes is not accepted | 2 | 2,57 |\n| The scope of development process is too large | 2 | 2,74 |\n| The (content of the) development process is too complicated | 2 | 2,76 |\n| The development process has unrealistic demands | 3 | 2,77 |\n| The development process is too abstract | 2 | 2,88 |\n| The development process limits freedom | 2 | 2,73 |\n| The development process is not sufficiently scaling | 2 | 2,59 |\n| The development process is not sufficiently adaptable | 2 | 2,69 |\n| The development process is not sufficiently accessible | 2 | 2,53 |\n| The development process does not consider the whole system life cycle | 2 | 2,88 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/3ebd36da26d2572b9b9f42c2862cf1a2.png", "anno": "### (b)\n| | S | R1 | R2 |\n| --- | --- | --- | --- |\n| Ethanol aroma | 5.3 | 5 | 5 |\n| Floral | 3.7 | 4 | 4.2 |\n| Fruity | 3.9 | 4.2 | 4.4 |\n| Sweet | 4 | 4.2 | 4.1 |\n| Jiao-aroma | 5.7 | 5 | 5.1 |\n| Woody | 5.1 | 4 | 4.5 |\n| Cut hay | 5.1 | 3.7 | 4.6 |\n| Spicy (liquorice) | 5.7 | 5.5 | 6.1 |\n| Herbs | 5.4 | 3.2 | 4.7 |\n| Honey | 3 | 3.1 | 3 |\n| Sour aroma | 4.1 | 4.4 | 4.2 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/01aed614eb85914d28bb283875a35fee.png", "anno": "| | Series 1 | Series 2 |\n| --- | --- | --- |\n| Axis Description | 120 | 50 |\n| Axis Description | 85 | 70 |\n| Axis Description | 68 | 100 |\n| Axis Description | 40 | 145 |\n| Axis Description | 68 | 120 |\n| Axis Description | 110 | 60 |\n| Axis Description | 130 | 70 |\n| Axis Description | 88 | 60 |\n| Axis Description | 92 | 50 |\n| Axis Description | 80 | 52 |\n| Axis Description | 90 | 48 |\n| Axis Description | 110 | 48 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a770e07875738d33e8ea5b39e6c37b3e.png", "anno": "| | LandGPT(with Trans-level) | LandGPT | Swin | Resnet | Unireplnet | BDFnet |\n| --- | --- | --- | --- | --- | --- | --- |\n| Farmland | 83% | 45% | 44% | 20% | 25% | 22% |\n| Factory | 100% | 94% | 85% | 85% | 85% | 85% |\n| Entertainment | 70% | 22% | 0% | 0% | 0% | 0% |\n| Education | 100% | 77% | 50% | 24% | 50% | 25% |\n| Buildings | 100% | 94% | 90% | 80% | 90% | 90% |\n| Water | 70% | 65% | 23% | 36% | 23% | 23% |\n| Wasteland | 37% | 28% | 10% | 0% | 0% | 6% |\n| Village | 56% | 60% | 20% | 0% | 30% | 20% |\n| Tower | 73% | 46% | 5% | 0% | 0% | 0% |\n| Shop | 71% | 65% | 10% | 0% | 0% | 10% |\n| Rural | 100% | 80% | 88% | 89% | 80% | 84% |\n| Public | 68% | 63% | 4% | 0% | 24% | 5% |\n| Park | 92% | 59% | 12% | 7% | 25% | 12% |\n| Office | 82% | 30% | 18% | 10% | 15% | 17% |\n| Mountain | 78% | 58% | 0% | 0% | 0% | 0% |\n| Market | 77% | 55% | 8% | 0% | 0% | 8% |\n| Government | 78% | 50% | 0% | 0% | 0% | 0% |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/bcd38ed6658e1b0534a89fe7404f016d.png", "anno": "| | Series 1 | Series 2 |\n| --- | --- | --- |\n| Axis Description | 120 | 50 |\n| Axis Description | 86 | 70 |\n| Axis Description | 68 | 100 |\n| Axis Description | 40 | 145 |\n| Axis Description | 68 | 120 |\n| Axis Description | 110 | 60 |\n| Axis Description | 130 | 70 |\n| Axis Description | 88 | 60 |\n| Axis Description | 92 | 50 |\n| Axis Description | 80 | 52 |\n| Axis Description | 90 | 48 |\n| Axis Description | 110 | 48 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/dda10e2d49924170e0d40ca4e806a0c8.png", "anno": "| | AHA | ESC | JSC | NICE |\n| --- | --- | --- | --- | --- |\n| D1Q1 | 0.5 | 0.5 | 0.5 | 0.75 |\n| D1Q2 | 0.75 | 0.5 | 1 | 0.75 |\n| D1Q3 | 0.75 | 0.75 | 0.5 | 1 |\n| D2Q4 | 1 | 0.75 | 0.75 | 1 |\n| D2Q5 | 0.5 | 1 | 0.5 | 0.75 |\n| D2Q6 | 0.5 | 0.5 | 0.75 | 0.5 |\n| D3Q7 | 0.5 | 0.5 | 0.5 | 1 |\n| D3Q8 | 0.5 | 0.5 | 0.5 | 0.75 |\n| D3Q9 | 1 | 0.5 | 0.5 | 0.75 |\n| D3Q10 | 0.5 | 0.5 | 0.5 | 0.5 |\n| D3Q11 | 0.75 | 0.75 | 0.75 | 0.5 |\n| D3Q12 | 0.5 | 0.5 | 0.75 | 0.5 |\n| D3Q13 | 0.75 | 1 | 0.75 | 0.75 |\n| D3Q14 | 0.5 | 0.75 | 1 | 0.75 |\n| D4Q15 | 0.75 | 0.75 | 0.75 | 0.5 |\n| D4Q16 | 0.5 | 0.5 | 0.5 | 0.75 |\n| D4Q17 | 0.5 | 0.75 | 0.75 | 0.75 |\n| D5Q18 | 0.5 | 0.5 | 0.75 | 0.5 |\n| D5Q19 | 0.5 | 0.75 | 0.5 | 0.75 |\n| D5Q20 | 0.5 | 0.75 | 0.5 | 0.5 |\n| D5Q21 | 0.75 | 0.75 | 0.75 | 1 |\n| D6Q22 | 0.5 | 0.5 | 0.5 | 0.5 |\n| D6Q23 | 0.5 | 0.5 | 1 | 1 |\n| OA1 | 0.5 | 0.75 | 0.75 | 0.5 |\n| OA2 | 1 | 0.75 | 0.75 | 1 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/0d54b991e92067d66a12c0a7d7b7dcfb.png", "anno": "| | 2011 | 2012 | 2013 | 2014 | 2015 |\n| --- | --- | --- | --- | --- | --- |\n| ATB | 0.77 | 0.6 | 0.68 | 0.7 | 0.77 |\n| ELGS | 0.65 | 0.7 | 0.58 | 0.62 | 0.45 |\n| CMP | 0.60 | 0.55 | 0.52 | 0.61 | 0.55 |\n| CNTE | 0.60 | 0.69 | 0.62 | 0.50 | 0.50 |\n| ARS | 0.60 | 0.50 | 0.50 | 0.57 | 0.50 |\n| MECF | 0.58 | 0.65 | 0.40 | 0.60 | 0.40 |\n| BIO | 0.55 | 0.55 | 0.58 | 0.70 | 0.57 |\n| PREH | 0.55 | 0.40 | 0.40 | 0.42 | 0.35 |\n| ARTE | 0.55 | 0.50 | 0.40 | 0.50 | 0.45 |\n| RRC | 0.52 | 0.30 | 0.40 | 0.41 | 0.35 |\n| PPL | 0.51 | 0.33 | 0.50 | 0.32 | 0.46 |\n| STIB | 0.5 | 0.42 | 0.35 | 0.45 | 0.35 |\n| SCD | 0.49 | 0.51 | 0.50 | 0.63 | 0.48 |\n| ART | 0.50 | 0.49 | 0.40 | 0.40 | 0.51 | 0.32 |\n| RRTA | 0.50 | 0.22 | 0.45 | 0.15 | 0.29 |\n| ECT | 0.50 | 0.23 | 0.32 | 0.30 | 0.30 |\n| SNO | 0.50 | 0.2 | 0.3 | 0.52 | 0.29 |\n| TRP | 0.50 | 0.38 | 0.5 | 0.58 | 0.59 |\n| ALR | 0.50 | 0.22 | 0.3 | 0.42 | 0.45 |\n| BRM | 0.49 | 0.41 | 0.38 | 0.42 | 0.32 |\n| CBC | 0.49 | 0.32 | 0.35 | 0.42 | 0.30 |\n| IARV | 0.47 | 0.35 | 0.35 | 0.46 | 0.36 |\n| MCAB | 0.45 | 0.39 | 0.58 | 0.58 | 0.58 |\n| UAM | 0.43 | 0.38 | 0.46 | 0.49 | 0.29 |\n| MECE | 0.43 | 0.35 | 0.35 | 0.40 | 0.18 |\n| ALT | 0.42 | 0.40 | 0.31 | 0.32 | 0.10 |\n| TBM | 0.41 | 0.20 | 0.30 | 0.33 | 0.36 |\n| CEON | 0.40 | 0.18 | 0.20 | 0.33 | 0.46 |\n| ALBZ | 0.43 | 0.38 | 0.30 | 0.54 | 0.30 |\n| PREB | 0.40 | 0.39 | 0.29 | 0.31 | 0.28 |\n| CMF | 0.40 | 0.40 | 0.40 | 0.53 | 0.32 |\n| EPT | 0.33 | 0.55 | 0.40 | 0.48 | 0.30 |\n| ARM | 0.08 | 0.62 | 0.41 | 0.62 | 0.40 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/534410a390bd92f2a470b17d859d4056.png", "anno": "### Physical Average: 7.5\n\n| | |\n| --- | --- |\n| Aggression | 7 |\n| Ball Protection | 8.1 |\n| Speed | 8 |\n| Strength | 8 |\n| Aerial Duels | 7 |\n| Jumping Reach | 6.7 |\n| Agility | 6.9 |\n| Balance | 6.8 |\n| Aerobic Capacity | 7.1 |\n| Acceleration | 8.1 |\n| Change of Pass | 8 |\n| Physicality | 8.3 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4990cbb58636f6e3045e93351615e37e.png", "anno": "| | PTE1 | PTE3 |\n| --- | --- | --- |\n| Beijing | 0.68 | 1 |\n| Tianjin | 0.52 | 1 |\n| Hebei | 0.72 | 0.8 |\n| Shanxi | 0.58 | 0.66 |\n| Inner Mongolia | 0.55 | 0.7 |\n| Liaoning | 0.69 | 0.9 |\n| Jilin | 0.8 | 1 |\n| Heilongjiang | 1 | 1 |\n| Shanghai | 1 | 0.79 |\n| Jiangsu | 0.45 | 0.6 |\n| Zhejiang | 0.38 | 0.55 |\n| Anhui | 0.54 | 0.59 |\n| Fujian | 0.6 | 0.99 |\n| Jiangxi | 0.65 | 0.7 |\n| Shandong | 0.58 | 0.68 |\n| Henan | 0.91 | 0.97 |\n| Hubei | 0.62 | 0.74 |\n| Hunan | 0.91 | 0.96 |\n| Guangdong | 0.57 | 0.65 |\n| Guangxi | 1 | 1 |\n| Hainan | 1 | 1 |\n| Chongqing | 0.6 | 0.73 |\n| Sichuan | 0.87 | 0.89 |\n| Guizhou | 0.62 | 0.62 |\n| Yunnan | 1 | 1 |\n| Tibet | 1 | 0.79 |\n| Shaanxi | 0.61 | 0.72 |\n| Gansu | 0.92 | 0.92 |\n| Qinghai | 0.97 | 1 |\n| Ningxia | 0.59 | 0.75 |\n| Xinjiang | 0.77 | 0.79 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/47ab364eafb55319693e18f6b43c303b.png", "anno": "| | Janus-Pro-1.5B | Janus-Pro-7B | X-Omni-7B | Bagel-14B | Manzano-3B | Manzano-30B |\n| --- | --- | --- | --- | --- | --- | --- |\n| Mathvista | 35 | 42 | 53 | 75 | 71 | 75 |\n| MMMU | 35 | 40 | 47 | 55 | 51 | 57 |\n| MMDBench | 68 | 73 | 68 | 75 | 72 | 85 |\n| DPG | 83 | 83 | 84 | 89 | 83 | 83 |\n| WISE | 28 | 36 | 0 | 53 | 55 | 45 |\n| GenEval | 83 | 83 | 84 | 85 | 85 | 85 |\n| InfoVQA | 10 | 20 | 51 | 53 | 80 | 84 |\n| ChartQA | 25 | 28 | 80 | 78 | 89 | 90 |\n| TextVQA | 41 | 45 | 78 | 79 | 85 | 81 |\n| DocVQA | 38 | 40 | 89 | 89 | 94 | 95 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/20a8ec0bc1a9cc43d03a5e0a470d8dc6.png", "anno": "| | TE1 | TE3 | \n| --- | --- | --- | \n| Beijing | 0.4 | 0.46 |\n| Tianjin | 0.4 | 0.71 |\n| Hebei | 0.71 | 0.79 |\n| Shanxi | 0.57 | 0.57 |\n| Inner Mongolia | 0.52 | 0.7 |\n| Liaoning | 0.63 | 0.9 |\n| Jilin | 0.76 | 0.98 |\n| Heilongjiang | 0.7 | 0.88 |\n| Shanghai | 0.33 | 0.55 |\n| Jiangsu | 0.4 | 0.61 |\n| Zhejiang | 0.38 | 0.5 |\n| Anhui | 0.52 | 0.58 |\n| Fujian | 0.6 | 0.96 |\n| Jiangxi | 0.65 | 0.66 |\n| Shandong | 0.58 | 0.68 |\n| Henan | 0.81 | 0.89 |\n| Hubei | 0.6 | 0.73 |\n| Hunan | 0.88 | 0.91 |\n| Guangdong | 0.56 | 0.61 |\n| Guangxi | 1 | 1 |\n| Hainan | 1 | 1 |\n| Chongqing | 0.58 | 0.66 |\n| Sichuan | 0.7 | 0.72 |\n| Guizhou | 0.7 | 0.7 |\n| Yunnan | 0.76 | 0.75 |\n| Tibet | 1 | 0.42 |\n| Shaanxi | 0.6 | 0.69 |\n| Gansu | 0.82 | 0.82 |\n| Qinghai | 0.96 | 0.8 |\n| Ningxia | 0.58 | 0.61 |\n| Xinjiang | 0.76 | 0.79 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/824715a108dcea1ac7bf23c115bdf7f1.png", "anno": "### Lubrizol Specification Comparison\n| | SN PLUS | dexos 2 |\n| --- | --- | --- |\n| Soot Thickening | 0 | 7 |\n| Aftertreatment Compatibility | 4 | 6 |\n| Fuel Economy | 0 | 6 |\n| Oxidative Thickening | 7 | 7 |\n| Piston Deposits | 4 | 7 |\n| Sludge | 1 | 7 |\n| Wear | 3 | 8 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4bf4b75de8e01bae05cd0fc7cd814cdd.png", "anno": "| | UKB Normative | UKB | PMBB |\n| --- | --- | --- | --- |\n| Thoracic aorta allometric volume | 0.614 | 0.522 | 0.410 |\n| Arch unfolding | -0.088 | -0.072 | -0.056 |\n| Arch width | 0.301 | 0.298 | 0.295 |\n| Thoracic aorta height | 0.404 | 0.365 | 0.305 |\n| Thoracic aorta tortuosity | 0.103 | 0.128 | 0.247 |\n| Descending aorta tortuosity | 0.210 | 0.175 | 0.213 |\n| Ascending aorta tortuosity | -0.013 | 0.025 | 0.176 |\n| Thoracic aorta diameter | 0.439 | 0.340 | 0.384 |\n| Descending aorta diameter | 0.412 | 0.337 | 0.376 |\n| Upper thoracic aorta diameter | 0.378 | 0.301 | 0.352 |\n| Ascending aorta diameter | 0.308 | 0.206 | 0.300 |\n| Thoracic aorta curvature | -0.343 | -0.340 | 0.218 |\n| Descending aorta curvature | -0.316 | -0.310 | -0.204 |\n| Upper thoracic aorta curvature | -0.341 | -0.338 | -0.234 |\n| Ascending aorta curvature | -0.341 | -0.338 | -0.216 |\n| Thoracic aorta allometric length | 0.447 | 0.440 | 0.253 |\n| Descending aorta allometric length | 0.268 | 0.268 | 0.075 |\n| Upper thoracic aorta allometric length | 0.458 | 0.450 | 0.393 |\n| Ascending aorta allometric length | 0.390 | 0.390 | 0.367 |\n| Thoracic aorta length | 0.378 | 0.378 | 0.230 |\n| Descending aorta length | 0.221 | 0.221 | 0.065 |\n| Upper thoracic aorta length | 0.426 | 0.404 | 0.367 |\n| Ascending aorta length | 0.426 | 0.409 | 0.350 |\n| Thoracic aorta volume | 0.485 | 0.403 | 0.345 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9e6db02aa9f66da135ba96f703ede3c3.png", "anno": "| | |\n| --- | --- |\n| easy to read | 3.4 |\n| easy to find what I need | 3.3 |\n| organization of information | 3.6 |\n| font and font size | 3.9 |\n| length | 3.4 |\n| relevance to your specialty or area of expertise | 3.3 |\n| understandable | 3.5 |\n| timeliness | 3.4 |\n| helpful | 3.7 |\n| amount of background information | 3.2 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/20460d9d6ae1f35b9cdff74341612e69.png", "anno": "### Comparative Profiles -- Italian Sausage\n\n| | Pork-based | Vegetable-based |\n| --- | --- | --- |\n| Color | 7 | 9 |\n| Spice Inclusions | 10 | 4 |\n| Interior Cooked Color | 10 | 4 |\n| Exterior Cooked Color | 9 | 4 |\n| Char Marks | 10 | 7 |\n| Oregano | 7 | 9 |\n| Pop of Casing | 7 | 5 |\n| Texture of Grind | 7 | 9 |\n| Fennel | 5 | 9 |\n| Roast Pork Flavor | 3 | 4 |\n| Basil | 9 | 5 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/044b96fae7f225c1dbede2243cf3bfe5.png", "anno": "| | a | b |\n| --- | --- | --- |\n| Design | 70 | 30 |\n| Development | 60 | 70 |\n| Marketing | 60 | 50 |\n| Users | 40 | 50 |\n| Test | 60 | 70 |\n| Language | 70 | 50 |\n| Technology | 50 | 40 |\n| Support | 30 | 40 |\n| Sales | 60 | 40 |\n| UX | 50 | 60 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ccb76a121588e2e69223cf5194762c7d.png", "anno": "| | CTRPv2 Baseline | GDSCv1 Baseline | Trained on CTRPv2 | Trained on GDSCv1 |\n| --- | --- | --- | --- | --- |\n| Paclitaxel | 0.58 | 0.62 | 0.60 | 0.14 |\n| Lapatinib | 0.66 | 0.76 | 0.60 | 0.40 |\n| Erlotinib | 0.70 | 0.86 | 0.62 | 0.36 |\n| Docetaxel | 0.52 | 0.58 | 0.50 | 0.43 |\n| Entinostat | 0.05 | 0.23 | 0.02 | -0.05 |\n| Crizotinib | 0.25 | 0.02 | 0.22 | 0.10 |\n| Bortezomib | 0.40 | 0.37 | 0.30 | 0.14 |\n| Vorinostat | 0.50 | 0.42 | 0.46 | 0.35 |\n| Sirolimus | 0.22 | 0.18 | 0.57 | 0.30 |\n| Pictilisib | 0.42 | 0.53 | 0.40 | 0.28 |\n| Gemcitabine | 0.64 | 0.66 | 0.60 | 0.47 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/726ce63158a7d743b57379538e463aae.png", "anno": "### Figure 9-6 Radar Map of Individual Indexes of Top 20 Chinese and U.S. Cities\n| | China | United States |\n| --- | --- | --- |\n| STI | 0.2400 | 0.3500 |\n| IS | 0.2500 | 0.2500 |\n| HR | 0.5700 | 0.5300 |\n| LD | 0.6600 | 0.8000 |\n| BC | 0.5900 | 0.8000 |\n| IE | 0.6100 | 0.8600 |\n| IF | 0.7200 | 0.7200 |\n| LE | 0.6300 | 0.6300 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/375fa47af0e7c183312609cc417e04ca.png", "anno": "### Figure 9-6 Radar Map of Individual Indexes of Top 20 Chinese and U.S. Cities\n| | China | United States |\n| --- | --- | --- |\n| | 0.2900 | 0.3800 |\n| STI | 0.4300 | 0.4600 |\n| IS | 0.2300 | 0.2300 |\n| HR | 0.5900 | 0.5800 |\n| LD | 0.6200 | 0.8000 |\n| BC | 0.5990 | 0.8100 |\n| IE | 0.6050 | 0.8300 |\n| IF | 0.7100 | 0.7200 |\n| LE | 0.4300 | 0.4350 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/22a5a114fc836919fe7bd6adf2b6c3ad.png", "anno": "### Budget vs spending\n\n| | Allocated Budget | Actual Spending |\n| --- | --- | --- |\n| Sales | 1.8 | 2 |\n| Marketing | 0.9 | 1.6 |\n| Development | 2.3 | 1.6 |\n| Customer Support | 1.5 | 1.3 |\n| Information Technology | 0.8 | 1.2 |\n| Administration | 0.3 | 0.6 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/dac49c28db031cb5bf51669be91a5fd0.png", "anno": "### Technical Average: 6.6\n\n| | |\n| --- | --- |\n| Teuhooue| 6.5 |\n| Finalization | 6.8 |\n| Dribbling | 6.2 |\n| Playing Under Pressure | 6.5 |\n| Using Both Feet | 6.8 |\n| Long Throws | 6.4 |\n| Ball Conduction| 6.5 |\n| Ball Control | 6.6 |\n| Long Shots | 7 |\n| Key Passes | 6.2 |\n| Oriented Ball Control | 6.5 |\n| Cold Blood | 7.2 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/b9e756853708a70c277710b773a105c6.png", "anno": "### How Canada Tops the Wellness Charts\n#### Canadians live long and prosper while South Africans struggle\n\n| | Canada | South Africa | U.S. |\n| --- | --- | --- | --- |\n| Diabetes risk | 0.66 | 0.31 | 0.45 |\n| Blood pressure | 0.92 | 0.33 | 0.96 |\n| Obesity | 0.11 | 0.23 | 0.07 |\n| Depression | 0.41 | 0.44 | 0.02 |\n| Happiness | 0.93 | 0.34 | 0.84 |\n| Alcohol | 0.80 | 0.12 | 0.72 |\n| Tobacco | 0.77 | 0.57 | 0.45 |\n| Inactivity | 0.42 | 0.04 | 0.21 |\n| Life expectancy | 0.95 | 0.17 | 0.78 |\n| Spending | 0.92 | 0.63 | 0.97 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/e4bad356da01c45625614effea692e01.png", "anno": "| | | |\n| --- | --- | --- |\n| Institutions | 4.3 | 3.8 |\n| Infrastructure | 4.7 | 3.5 |\n| Macroeconomic environment | 6.4 | 4.8 |\n| Health and primary education | 6.1 | 5.6 |\n| Higher education and training | 4.5 | 3.9 |\n| Goods market efficiency | 4.4 | 4.3 |\n| Labor market efficiency | 4.6 | 4.2 |\n| Financial market development | 4.4 | 4.0 |\n| Technological readiness | 3.6 | 3.2 |\n| Market size | 6.9 | 4.2 |\n| Business sophistication | 4.4 | 3.9 |\n| Innovation | 4.0 | 3.2 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9698b231eb3e67a22628f5b0ba9eca66.png", "anno": "| | Non-causal Model | CMCRL |\n| --- | --- | --- |\n| Atelectasis | 0.657 | 0.709 |\n| Pneumonia | 0.629 | 0.924 |\n| Consolidation | 0.617 | 0.914 |\n| Lung Lesion | 0.924 | 0.938 |\n| Lung Opacity | 0.497 | 0.565 |\n| Normal | 0.682 | 0.745 |\n| Support Devices | 0.761 | 0.762 |\n| Fracture | 0.924 | 0.934 |\n| Cardiomegaly | 0.454 | 0.596 |\n| Enlarge Cardiomediastinum | 0.473 | 0.842 |\n| Pleural Other | 0.957 | 0.964 |\n| Pleural Effusion | 0.551 | 0.781 |\n| Pneumothorax | 0.564 | 0.964 |\n| Edema | 0.509 | 0.840 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/bd340b7afd8da61da7daf3175fa6ccc7.png", "anno": "### Budget vs spending\n| | Allocated Budget | Actual Spending |\n| --- | --- | --- |\n| Sales | 1.8 | 2.1 |\n| Marketing | 0.7 | 1.6 |\n| Development | 2.5 | 1.7 |\n| Customer Support | 1.5 | 1.3 |\n| Information Technology | 0.7 | 1.2 |\n| Administration | 0.5 | 0.6 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/274d473f3dc454c593405f9ff7665116.png", "anno": "| | FSL | MoCo-v3 | OPERA |\n| --- | --- | --- | --- |\n| ImageNet End-to-end Finetuning DeiT-B | 81.8 | 83.0 | 83.5 |\n| ImageNet End-to-end Finetuning DeiT-S | 79.8 | 80.0 | 80.4 |\n| ImageNet Linear Classification DeiT-S | 0 | 71.2 | 73.7 |\n| ImageNet Linear Classification ResNet-50 | 0 | 70.5 | 74.8 |\n| COCO Object Detection ResNet-50 | 39.2 | 40.3 | 41.5 |\n| ADE20K Semantic Segmentation DeiT-B | 45.4 | 46.1 | 46.6 |\n| ADE20K Semantic Segmentation DeiT-S | 42.9 | 42.3 | 43.8 |\n| ADE20K Semantic Segmentation ResNet-50 | 36.1 | 37.0 | 38.4 |\n| CIFAR-100 Transfer Learning DeiT-B | 86.9 | 86.6 | 89.0 |\n| CIFAR-100 Transfer Learning ResNet-50 | 85.5 | 86.0 | 86.8 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1c6c49dc20639031931ec9329b830386.png", "anno": "### Spending in the Company X\n\n| | Alocated budget | Actual spending |\n| --- | --- | --- |\n| Sales | 18 | 20 |\n| Development | 13 | 16 |\n| Marketing | 17 | 12 |\n| Customer Support | 15 | 18 |\n| Administration | 6 | 12 |\n| Information technology | 13 | 19 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/88fa7daec518be5b63d4f71130082d49.png", "anno": "| | | |\n| --- | --- | --- |\n| Institutions | 4.3 | 3.8 |\n| Infrastructure | 4.7 | 3.5 |\n| Macroeconomic environment | 6.4 | 4.8 |\n| Health and primary education | 6.1 | 5.6 |\n| Higher education and training | 4.5 | 3.9 |\n| Goods market efficiency | 4.4 | 4.3 |\n| Labor market efficiency | 4.6 | 4.2 |\n| Financial market development | 4.4 | 4.0 |\n| Technological readiness | 3.6 | 3.2 |\n| Market size | 6.9 | 4.2 |\n| Business sophistication | 4.4 | 3.9 |\n| Innovation | 4.0 | 3.2 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/4808f4efafdfc681a9d11057099f6a72.png", "anno": "| | My First dataset | My Second dataset |\n| --- | --- | --- |\n| Eating | 65 | 28 |\n| Running | 40 | 100 |\n| Cycling | 55 | 27 |\n| Coding | 56 | 96 |\n| Designing | 81 | 19 |\n| Sleeping | 90 | 40 |\n| Drinking | 59 | 48 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/2f5a9cec214f382bc852035111194cb2.png", "anno": "### # 58 - Shanghai - China\n| | |\n| --- | --- |\n| Economy | 70 |\n| Human Capital | 38 |\n| International Projection | 60 |\n| Mobility and Transportation | 82 |\n| Environment | 32 |\n| Tecnology | 60 |\n| Urban Planning | 52 |\n| Governance | 37 |\n| Social Cohesion | 81 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/bcf2286f81ac883f0730dc7ae325c657.png", "anno": "| | LF | MF | HF |\n| --- | --- | --- | --- |\n| floral | 1.55 | 1.61 | 1.15 |\n| fruity | 1.31 | 1.31 | 1.06 |\n| woody | 1.79 | 1.83 | 2.16 |\n| roasted | 1.17 | 1.56 | 1.98 |\n| grass/fresh leaves | 1.21 | 1.53 | 1.38 |\n| burnt/smoky | 0.5 | 1.39 | 2.26 |\n| herbal | 0.75 | 1.1.38 | 1.56 |\n| metal | 1.06 | 1.31 | 0.38 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9309df99ac7233360de1cb01ce1ce756.png", "anno": "| | 2015-Comparison | 2016-Comparison |\n| --- | --- | --- |\n| Trustworthy | 63% | 48% |\n| Supportive | 50% | 35% |\n| Leading | 27% | 33% |\n| Strong | 55% | 48% |\n| Dependable | 58% | 45% |\n| Consultative | 42% | 32% |\n| Knowiedgea | 60% | 45% |\n| Sensible | 65% | 45% |\n| Intelligent | 47% | 38% |\n| Consistent | 56% | 33% |\n| Stable | 72% | 52% |\n| Innovative | 45% | 30% |\n| Aggressive | 38% | 28% |\n| Conservative | 60% | 43% |\n| Visionary | 34% | 39% |\n| Arrogant | 99% | 99% |\n| Professional | 63% | 42% |\n| Responsive | 50% | 35% |\n| Confident | 52% | 35% |\n| Accessible | 57% | 41% |\n| Timely | 50% | 41% |\n| Focused | 36% | 38% |\n| Niche | 38% | 33% |\n| None | 98% | 97% |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/578bea07db68c3a343726ba371ca7f28.png", "anno": "| | 9m17 | Peer Gp Avg |\n| --- | --- | --- |\n| BAML | 0.8 | 0.0 |\n| BARC | -0.8 | 0.0 |\n| BNPP | 0.2 | 0.0 |\n| Citi | 1.2 | 0.0 |\n| CS | -1.7 | 0.0 |\n| DBK | -0.1 | 0.0 |\n| GS | 0.1 | 0.0 |\n| HSBC | -0.1 | 0.0 |\n| JPM | 1.2 | 0.0 |\n| MS | -0.2 | 0.0 |\n| RBS | 1.4 | 0.0 |\n| SG | 0.2 | 0.0 |\n| UBS | -1.9 | 0.0 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/f985d1b24e0e0315b4cd0c2b9006239a.png", "anno": "| | V100:R0 | V75:R25 | V50:R50 | V25:R75 | V0:R100 |\n| --- | --- | --- | --- | --- | --- |\n| E-1.1 | -0.05 | -0.04 | -0.03 | -0.01 | 0.00 |\n| E-2.1 | -0.02 | 0.00 | 0.00 | 0.00 | 0.00 |\n| E-2.2 | -0.07 | -0.01 | 0.00 | 0.00 | 0.00 |\n| E-2.3 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |\n| E-3.1 | -0.20 | -0.13 | -0.12 | -0.06 | -0.05 |\n| E-4.1 | -0.14 | 0.00 | 0.00 | 0.00 | 0.00 |\n| E-4.2 | -0.03 | 0.00 | 0.00 | 0.00 | 0.00 |\n| E-4.3 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |\n| E-5.1 | -0.01 | -0.01 | -0.01 | -0.01 | -0.01 |\n| E-5.2 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |\n| Ec-1.1 | -0.03 | -0.03 | -0.06 | -0.27 | -0.30 |\n| Ec-1.2 | -0.07 | -0.03 | -0.02 | -0.25 | -0.20 |\n| Ec-2.1 | -0.21 | -0.18 | -0.16 | -0.13 | -0.10 |\n| S-1.1 | -0.19 | -0.10 | -0.08 | -0.08 | -0.06 |\n| S-2.1 | -0.14 | -0.14 | -0.14 | -0.14 | -0.20 |\n| S-2.2 | -0.15 | -0.15 | -0.15 | -0.15 | -0.22 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/67fb7b7d4cc50b34f3bbb129fa15c2da.png", "anno": "| | Sweden | High-income group average |\n| --- | --- | --- |\n| 1. Political and regulatory environment | 5.6 | 4.8 |\n| 2. Business and innovation environment | 5.2 | 5.0 |\n| 3. Infrastructure | 7.0 | 5.9 |\n| 4. Affordability | 6.2 | 5.7 |\n| 5. Skills | 6.0 | 5.9 |\n| 6. Individual usage | 6.9 | 5.9 |\n| 7. Business usage | 6.1 | 4.7 |\n| 8. Government usage | 5.2 | 4.8 |\n| 9. Economic impacts | 6.2 | 4.4 |\n| 10. Social impacts | 5.6 | 5.1 |", "chart_type": "雷达图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/8dc307deeaa49497ff444415eff9492e.png", "anno": "| | |\n| --- | --- |\n| 家庭 | 8 |\n| 健康 | 2 |\n| 事业 | 9 |\n| 爱情 | 9.5 |\n| 交际 | 9 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/0f6aaebe23ecf273e081926c2a35d6c4.png", "anno": "| | |\n| --- | --- |\n| 家规 | 3 |\n| 语言障碍 | 4 |\n| 被需求 | 5 |\n| 拥抱 | 5 |\n| 引导 | 6 |\n| 持续输出 | 4 |\n| 为自己行为负责 | 6 |\n| 理念 | 2 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/d4d4118acb632affcc80ed2a4f09d838.png", "anno": "| | |\n| --- | --- |\n| 力量 | 未知 |\n| 速度 | D |\n| 射程 | A |\n| 持续力 | A |\n| 精密度 | B |\n| 成长性 | C |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/bcc33b4d69a9216e035ca78e3bee55cc.png", "anno": "| | |\n| --- | --- |\n| 力量 | A |\n| 速度 | A |\n| 射程 | D |\n| 持续力 | B |\n| 精密度 | A |\n| 成长性 | 无 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a0698e00d6a58a3174511ad89895eb66.png", "anno": "雷达图1(0,0),(0,0)\n\n| | |\n| --- | --- |\n| 事业 | 8分 |\n| 财富 | 8分 |\n| 家庭 | 7分 |\n| 情感 | 6分 |\n| 友谊 | 6分 |\n| 健康 | 5分 |\n| 休闲 | 4分 |\n| 精神 | 9分 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/287178f3cec8a966c8151fe5f6ba599b.png", "anno": "| | |\n| --- | --- |\n| 职业发展 | 3 |\n| 财务状况 | 4 |\n| 健康 | 3 |\n| 娱乐休闲 | 2 |\n| 家庭 | 3 |\n| 朋友与重要他人 | 2 |\n| 个人成长 | 3 |\n| 自我实现 | 2 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/59ceb4f106fe3645e428dad37c3ef6e6.png", "anno": "### 封建王朝对比\n| | 清 | 明 |\n| --- | --- | --- |\n| 版图 | 100 | 75 |\n| 人口 | 87.5 | 62.5 |\n| 农业 | 62.5 | 74.9 |\n| 政治 | 75 | 99.5 |\n| 文化 | 38.1 | 100 |\n| 外交 | 18.8 | 99.9 |\n| 财政 | 35.8 | 65.8 |\n| 军事| 62.5 | 53.2 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/2e54d737608f89aad271d582ff3a564d.png", "anno": "### 生命之轮 8个维度吗？\n#### 理清现状\n\n| | |\n| --- | --- |\n| 家庭 | 8 |\n| 事业 | 3 |\n| 娱乐休闲 | 8 |\n| 财富 | 3 |\n| 个人成长 | 5 |\n| 信仰 | 8 |\n| 朋友 | 5 |\n| 健康 | 8 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/64bf0b4046dcfbe5c19d9d057fd02325.png", "anno": "| | |\n| --- | --- |\n| 语 | A |\n| 数 | F |\n| 英 | B |\n| 物 | F |\n| 化 | F |\n| 生 | F |\n| 史 | A |\n| 地 | C |\n| 政 | D |\n| 音 | A |\n| 美 | C |\n| 体 | A |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/fa315c4d8b8d97eb7e74c2e995501e76.png", "anno": "| | |\n| --- | --- |\n| 力量 | 无 |\n| 速度 | A |\n| 射程 | A |\n| 持续力 | $ \\infty $ |\n| 精密度 | A |\n| 成长形 | 无 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/bbc6bc6a269c5761970701ad88e73dfc.png", "anno": "### 125\n\n| | |\n| --- | --- |\n| 语 | A |\n| 数 | B |\n| 英 | A |\n| 物 | D |\n| 化 | C |\n| 生 | C |\n| 史 | B |\n| 地 | C |\n| 政 | B |\n| 音 | A |\n| 美 | A |\n| 体 | C |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/f7bbc93f791a8c5581fa3cfe84dcc133.png", "anno": "### 5月\n\n| | |\n| --- | --- |\n| 学业发展 | 4 |\n| 财务状况 | 5 |\n| 朋友 | 9 |\n| 家庭 | 7 |\n| 健康 | 8 |\n| 娱乐休闲 | 8 |\n| 个人成长 | 6 |\n| 自我实现 | 6 | ", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/644c3fd2015eac71650f19f28f4e0458.png", "anno": "| | |\n| --- | --- |\n| 家庭 | 6 |\n| 健康 | 5 |\n| 人际关系 | 8 |\n| 事业 | 3 |\n| 伴侣 | 1 |\n| 学习 | 8 |\n| 执行力 | 5 |\n| 财富 | 3 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/22d18f4c64d473c37d66373e7d0a55f0.png", "anno": "### 宠物六维属性\n| | 绿鼠 | 王八 | 毒娘 | 龙 |\n| --- | --- | --- | --- | --- |\n| 成长性 | 55 | 20 | 80 | 100 |\n| 安全性 | 70 | 100 | 80 | 20 |\n| 流动性 | 90 | 95 | 70 | 10 |\n| 生产性 | 60 | 50 | 74 | 10 |\n| 攻击性 | 40 | 0 | 60 | 100 |\n| 稳定性 | 80 | 0 | 90 | 20 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/e8e3015b84459871ce060f972c10d51a.png", "anno": "| | |\n| --- | --- |\n| 精神成长 | 9分 |\n| 健康休闲 | 8分 |\n| 情感交流 | 7分 |\n| 家庭责任 | 9分 |\n| 天赋实现 | 8分 |\n| 事业成就 | 8分 |\n| 朋友社交 | 7分 |\n| 社会贡献 | 8分 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/bc26faaffce51e041b11993dbd89ce13.png", "anno": "| | |\n| --- | --- |\n| 事业 | 4 |\n| 家庭 | 9 |\n| 父母 | 2 |\n| 子女 | 9 |\n| 财富 | 9 |\n| 健康 | 9 |\n| 朋友 | 1 |\n| 休闲 | 1 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/9580dd8ea6c2f1c7671a305cd6f703d4.png", "anno": "### 人生平衡轮\n\n| | |\n| --- | --- |\n| 家庭 | 7分 |\n| 事业 | 10分 |\n| 爱情 | 8分 |\n| 休闲娱乐 | 4分 |\n| 财富 | 5分 |\n| 个人成长 | 10分 |\n| 朋友 | 5分 |\n| 健康 | 5分 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/57a3b1bf98ba85b4420912a81992590c.png", "anno": "| | |\n| --- | --- |\n| A 保持微笑 | 8分 |\n| B 早起早睡 | 3分 |\n| C 言行一致 | 8分 |\n| D 专注自己的领域 | 5分 |\n| E 锻炼身体 | 5分 |\n| F 真诚 | 8分 |\n| G 宽容 | 8分 |\n| H 写日记 | 3分 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/e5274b43282d4e439ea51aa5d668b01e.png", "anno": "### Stand Name: Chariot\n#### Stand Master: 7\n| | |\n| --- | --- |\n| 力 | D |\n| 速 | D |\n| 程 | C |\n| 持 | B |\n| 精 | C |\n| 成 | D |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/89910a0ff76d758a0ca283ee5c7eb7e0.png", "anno": "| | |\n| --- | --- |\n| 职业/事业 | 3分 |\n| 财务 | 0分 |\n| 朋友和重要的人 | 3分 |\n| 家庭 | 5分 |\n| 兴趣/娱乐 | 5分 |\n| 健康 | 7分 |\n| 个人成长 | 5分 |\n| 自我实现 | 3分 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/29e7d495b26baf2458d224c455034c8e.png", "anno": "| | 个人 | 职业初级 | 职业高级 |\n| --- | --- | --- | --- |\n| 敬业精神 | 36 | 58 | 72 |\n| 诚实守信 | 44 | 66 | 25 |\n| 沟通能力 | 71 | 39 | 54 |\n| 团队精神 | 40 | 72 | 69 |\n| 领导能力 | 17 | 54 | 34 |\n| 创新精神 | 25 | 37 | 71 |\n| 市场洞察力 | 17 | 41 | 50 |\n| 关系管理 | 21 | 50 | 75 |\n| 承受能力 | 18 | 38 | 61 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/acac0d3b78bba290c369ae5f11284543.png", "anno": "| | |\n| --- | --- |\n| 学习成长 | 6 |\n| 财富管理 | 3 |\n| 社会资本 | 3 |\n| 形象管理 | 3 |\n| 情绪管理 | 5 |\n| 家庭关系 | 8 |\n| 健康管理 | 4 |\n| 职业发展 | 5 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/14b09e802c1b4f9923f0b9e261ca1d62.png", "anno": "| | |\n| --- | --- |\n| 职业/事业 | 4 |\n| 财务 | 4 |\n| 朋友和重要的人 | 5 |\n| 家庭 | 7 |\n| 兴趣娱乐 | 6 |\n| 健康 | 7 |\n| 个人成长 | 5 |\n| 自我实现 | 4 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/5ac10d6403ea2f0057f674217e82b6c3.png", "anno": "### 2025.5.30\n\n| | |\n| --- | --- |\n| 精神 | 6 |\n| 事业 | 7 |\n| 财富 | 6 |\n| 家庭 | 8 |\n| 情感 | 4 |\n| 友谊 | 4 |\n| 健康 | 8 |\n| 休闲 | 4 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/d6ea110c44cb742d2d427a3b9f664a98.png", "anno": "| | |\n| --- | --- |\n| 音节与重音 | 68 |\n| 节奏 | 52 |\n| 连读 | 52 |\n| 音准 | 87 |\n| 语调 | 47 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/03c0fe4070d35a5de96b130db37dab82.png", "anno": "### 生命平衡轮\n| | |\n| --- | --- |\n| 职业发展 | 5分 |\n| 财务状况 | 5分 |\n| 个人健康 | 8分 |\n| 娱乐休闲 | 7分 |\n| 家庭 | 7分 |\n| 朋友 重要他人 | 6分 |\n| 个人成长 | 6分 |\n| 自我实现 | 6分 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/3b8b233f5555f8b6745db74685b3a2a7.png", "anno": "### 事业.使命.自我成长.伴侣.亲子.健康.\n\n| | |\n| --- | --- |\n| 事业 | 8分 |\n| 使命 | 8分 |\n| 自我成长 | 8分 |\n| 伴侣 | 8分 |\n| 亲子 | 6分 |\n| 健康 | 2分 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/dc53a77cd742e2e112e0826801f5cbea.png", "anno": "| | | \n| --- | --- | \n| 自我意识 | 4 |\n| 自我引导 | 3 | \n| 自尊 | 5 |\n| 积极思考| 3 | \n| 自律| 2 |\n| 自我激励 | 3 |\n| 积极关系 | 4 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/2fb9a322ffb99161d8c247cdcb49c952.png", "anno": "| | |\n| --- | --- |\n| 力量 | A |\n| 速度 | A |\n| 射程 | C |\n| 持续力 | A |\n| 精密度 | B |\n| 成长性 | A |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/814499944ca29d25f034245b7c31f887.png", "anno": "| | |\n| --- | --- |\n| 职业/事业 | 3 |\n| 财务 | 0 |\n| 朋友和重要的 | 7.5 |\n| 家庭 | 8 |\n| 兴趣娱乐 | 8 |\n| 健康 | 7 |\n| 个人成长 | 6 |\n| 自我实现 | 5 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/1a7c94beff09115fa3fd41d2a33e9c79.png", "anno": "### 1MO45-6\n#### 难度Ⅲ\n| | |\n|---|---|\n| 知识量 | 4 |\n| 计算量 | 2 |\n| 思维量 | 7 |\n| 创造性 | 6 |\n| 直觉性 | 9 |\n| 技巧性 | 5 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/e024b833a71eaf9991850baecbab88c4.png", "anno": "### [公路运输]\n\n| | |\n| --- | --- |\n| 力量 | C |\n| 速度 | C |\n| 距离 | C |\n| 持续 | B |\n| 精密 | A |\n| 成长 | B |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/57d21bf2a1c12931e21a9052eff89158.png", "anno": "| | 叶圣陶 508.4% | 鲁迅 550% |\n| --- | --- | --- |\n| 学术能力 | 90% | 95% |\n| 自我约束 | 90% | 85% |\n| 影响力 | 80% | 100% |\n| 贡献 | 50% | 100% |\n| 学术态度 | 98.4% | 90% |\n| 品德 | 100% | 80% |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/4094bf8f8490f72c189a2b48896645f2.png", "anno": "雷达图1(0,0),(0,0)\n\n| | |\n| --- | --- |\n| 职业/事业 | 7分 |\n| 财务 | 2分 |\n| 朋友和重要的人 | 8分 |\n| 家庭 | 10分 |\n| 兴趣娱乐 | 8分 |\n| 健康 | 7分 |\n| 个人成长 | 8分 |\n| 自我实现 | 4分 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/094ba949c3a6d6ac8f46a68a8e7afc92.png", "anno": "| | |\n| --- | --- |\n| 娱乐 | 6 |\n| 家庭幸福 | 4 |\n| 财富 | 5 |\n| 社会贡献 | 3 |\n| 自我提升 | 5 |\n| 事业 | 5 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/6d02753c0774baaa7e90631140d98231.png", "anno": "### GALFER刹车片\n\n| | NAO陶瓷 | 低金属 |\n| --- | --- | --- |\n| 刹车效率 | 3.5 | 4.5 |\n| 热衰减失效 | 3.5 | 4.5 |\n| 踏板感觉 | 3.4 | 4.4 |\n| 轮毂灰尘 | 5.0 | 3.0 |\n| 刹车盘磨损 | 5.0 | 3.0 |\n| 低温磨损 | 4.0 | 3.0 |\n| 高温磨损 | 3.3 | 4.0 |\n| 颤动异响 | 4.5 | 3.0 |\n| 啸叫异响 | 5.0 | 3.5 |\n| 金属粘结 | 4.0 | 4.0 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/7702b5bc57d704ccd084ba5e794dc784.png", "anno": "### 绥宁一种 25表\n\n| | | |\n| --- | --- | --- |\n| 朋辈关系 | 3 | 2 |\n| 资源优势 | 4 | 2.8 |\n| 规则 | 4.3 | 4.3 |\n| 爱 | 4 | 3.5 |\n| 校方关系 | 1.5 | 0.8 |\n| 核心学生 | 4.3 | 4.3 |\n| 经验传递 | 4 | 2.5 |\n| 物理空间 | 3.5 | 3.5 |\n| 管理 | 3.5 | 3.2 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/0cf6e58f3ecaa3ad38cde8276022efda.png", "anno": "| | |\n| --- | --- |\n| 力量 | A |\n| 速度 | A |\n| 射程 | C |\n| 持续力 | A |\n| 精密度 | B |\n| 成长性 | A |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/deef87c4f81a36d5b2e8be44686d31c7.png", "anno": "### 镜中人！\n\n| | |\n| --- | --- |\n| 破坏力 | C |\n| 速度 | C |\n| 射程 | B |\n| 持续性 | D |\n| 精密性 | C |\n| 成长性 | E |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/82eec9a41415251952125587b9d32287.png", "anno": "### 难度综合评分：7.8/10.0\n\n| | 评分 |\n| --- | --- |\n| 知识 | 3 |\n| 创新 | 9 |\n| 思考量 | 10 |\n| 技巧性 | 8 |\n| 逻辑 | 10 |\n| 考天赋 | 6 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/8fdf17278e1242b24ac4dfb671218f30.png", "anno": "| | |\n| --- | --- |\n| 破坏力 | B |\n| 速度 | A |\n| 射程距离 | C |\n| 持续力 | C |\n| 精密度 | B |\n| 成长性 | B |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/ce6d61404b54b20eba1021f6fe237e24.png", "anno": "| | |\n| --- | --- |\n| 破坏力 | 4 |\n| 速度 | 4 |\n| 射程距离 | 3 |\n| 持续力 | 5 |\n| 动作精密性 | 1 |\n| 成长性 | 1 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/9bb16796956402ea03bb0b8fc6cb00fa.png", "anno": "雷达图1(0,0),(0,0)\n\n| | |\n| --- | --- |\n| 丈夫 | 7 |\n| 父亲 | 7 |\n| 儿子 | 7 |\n| 身体 | 7 |\n| 成长 | 8 |\n| CEO | 8 |\n| 教练 | 8 |\n| 讲师 | 9 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/4d5affdbd8513ba9403339d05bb8f5d6.png", "anno": "| | |\n| --- | --- |\n| 精神成长 | 9分 |\n| 健康休闲 | 8分 |\n| 情感交流 | 7分 |\n| 家庭责任 | 9分 |\n| 天赋实现 | 8分 |\n| 事业成就 | 8分 |\n| 朋友社交 | 7分 |\n| 社会贡献 | 8分 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/030ecc378116a740837d2790f1575457.png", "anno": "### 书册分类章节\n| | 玄幻 | 都市 | 言情 | 文学 |\n| --- | --- | --- | --- | --- |\n| 0-1 | 56 | 47 | 37 | 26 |\n| 1-2 | 45 | 56 | 35 | 23 |\n| 2-3 | 55 | 19 | 25 | 35 |\n| 3-4 | 30 | 53 | 25 | 45 |\n| 4-5 | 50 | 26 | 15 | 34 |\n| 5-6 | 20 | 45 | 36 | 25 |\n| 6-7 | 45 | 30 | 24 | 37 |\n| 7-8 | 55 | 36 | 26 | 45 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/88840ea998f7194e019cd8412d6dc7d2.png", "anno": "### Stand Name: Chariot\n#### Stand Master: 7\n\n| | |\n| --- | --- |\n| 力 | D |\n| 速 | D |\n| 程 | C |\n| 持 | B |\n| 精 | C |\n| 成 | D |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/555eb6e3999bed5fa292e0324eb88763.png", "anno": "### 1M0 45-6\n#### 难度Ⅲ\n| | |\n| --- | --- |\n| 知识量 | 4 |\n| 计算量 | 2 |\n| 思维量 | 7 |\n| 创造性 | 6 |\n| 直觉性 | 9 |\n| 技巧性 | 5 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/cc3fcf1613ca893455a00802471b72fd.png", "anno": "| | | 权重 |\n| --- | --- | --- |\n| 学历专业 | 5 | 1 |\n| 学习能力 | 8 | 4 |\n| 沟通能力 | 8 | 3 |\n| 项目管理经验 | 4 | 4 |\n| 思考能力 | 5 | 4 |\n| 踏实认真 | 6 | 2 |\n| 兴趣意愿 | 7 | 3 |\n| 认识行业人士 | 6 | 2 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/86975586587dfe52d1171712e27280af.png", "anno": "| | |\n| --- | --- |\n| 技巧 | 8 |\n| 逻辑 | 6 |\n| 知识 | 2 |\n| 新颖度 | 6 |\n| 耗时 | 3 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/4920eae225d4c5af2baebb0513577c27.png", "anno": "| | |\n| --- | --- |\n| 精神成长 | 6-7分 |\n| 健康休闲 | 4-5分 |\n| 情感交流 | 4分 |\n| 家庭责任 | 6-7分 |\n| 天赋实现 | 5-6分 |\n| 事业成就 | 7分 |\n| 朋友社交 | 3分 |\n| 社会贡献 | 3-4分 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/106740d248787953c8a0ea017a7845d6.png", "anno": "雷达图1(0,0),(0,0)\n### Customized Radar Chart\n\n| | Data C | Data A |\n| --- | --- | --- |\n| Indicator1 | 90 | 69 |\n| Indicator2 | 69 | 50 |\n| Indicator3 | 33 | 70 |\n| Indicator4 | 50 | 33 |\n| Indicator5 | 70 | 92 |\n| Indicator6 | 88 | 52 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/3aa62c6dd1781603454978a7eb6becb8.png", "anno": "| time (h) | Water Level Change - Inflow Volume | Water Level Change - Outflow Volume |\n| --- | --- | --- |\n| 2 | 2.5 | 10.2 |\n| 4 | 5.2 | 10.3 |\n| 6 | 7.3 | 11.6 |\n| 8 | 8.1 | 12.5 |\n| 10 | 9.2 | 11.7 |\n| 12 | 10.4 | 11.1 |\n| 14 | 11.9 | 12.1 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/927367745280a39d5393b9a9cc55e927.png", "anno": "雷达图1(0,0),(0,0)\n### Beijing Environmental Investment 8-Dimension Radar Chart\n\n| | |\n| --- | --- |\n| Air | 94 |\n| Water | 88 |\n| Soil | 70 |\n| Waste | 72 |\n| Ecology | 86 |\n| Carbon | 79 |\n| Living | 71 |\n| Monitor | 60 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/0a5dfaa49dbdb02e741ed8a15b4210cc.png", "anno": "### Yongzhou Team 6-Dimension Radar Chart\n\n| | |\n|---|---|\n| Solvency | 60 |\n| Efficiency | 70 |\n| Growth & Sustainability | 43 |\n| Cash Flow | 75 |\n| Brand Value | 89 |\n| Revenue | 82 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/ad642abe2ae2ccb48c0411899b322ea1.png", "anno": "### Seven Metrics Chart of Ma Chao\n| | |\n| --- | --- |\n| Damage | 91 |\n| Durability | 53 |\n| CC | 50 |\n| Mobility | 97 |\n| Teamfight | 83 |\n| Split Push | 90 |\n| Diffculty | 94 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/62448a2293fba5640eaa939c27244129.png", "anno": "### Radar Chart Data for Precipitation (Score:0-5)\n\n| | Cheng De | Yi Yang |\n| --- | --- | --- |\n| Annual Precipitation | 0.7 | 1.3 |\n| Precipitation Uniformity | 1.4 | 2.8 |\n| Rainy Season Intensity | 0.5 | 2.5 |\n| Rainstorm Frequency | 1.7 | 1.5 |\n| Snowfall | 3.5 | 1.2 |\n| Proportion of Precipitation Days | 0.7 | 2.0 |\n| Drought Frequency | 1.3 | 4.0 |\n| Seasonal Variability | 1.6 | 2.0 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/68ba6e2b1f482cc387e4a394031ef2bb.png", "anno": "雷达图1(0,0),(0,0)\n### Six Metrics Chart of Mordekaiser\n\n| | |\n| --- | --- |\n| Damage | 90 |\n| Durability | 84 |\n| CC | 70 |\n| Mobility | 47 |\n| Teamfight | 89 |\n| Late-game | 85 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b55e82ea74ec98d295cc02c80cea50ee.png", "anno": "### Standard Translation: National Comprehensive Strength\n#### Five-Dimersional Metrics Chart\n\n| | USA | China |\n| --- | --- | --- |\n| Economic Strength | 96 | 79 |\n| Military Power | 96 | 79 |\n| Technological Power | 96 | 83 |\n| Cultural Soft Power | 92 | 75 |\n| Global Influence | 92 | 83 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/e3bef9603cb296fb036fb197ca5b12cf.png", "anno": "### Changsha Investment Table\n\n| | |\n| --- | --- |\n| Furong | 74 |\n| Tianxin | 70 |\n| Yuelu | 50 |\n| Kaifu | 65 |\n| Yuhua | 70 |\n| Wangcheng | 70 |\n| Changsha County | 56 |\n| Liuyang | 72 |\n| Ningxiang | 48 |\n| Xiangjiang New Area | 60 |\n| Changsha High-tech Industrial Development Zone | 32 |\n| Ningxiang Economic and Technological | 44 |\n| Liuyang Economic and Technological | 54 |\n| Wangcheng Economic and Technological | 28 |\n| Changsha Economic and Technological | 64 |\n| Changsha Airport Economic Demonstration Zone | 51 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/297dc098c6d6f52dd208cb4638d0deb3.png", "anno": "### AoE Ⅱ - Six Stats Radar Graph\n\n| | |\n| --- | --- |\n| Economy | 90 |\n| Military | 75 |\n| Defense | 85 |\n| Mobility | 60 |\n| Tech | 68 |\n| Power Spike | 88 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/0af929385572187f8dd21378c51a8879.png", "anno": "### Sales of each district in Shenzhen for the whole year\n\n| District | the first half of the year | the second half of the year |\n| --- | --- | --- |\n| Futian | 5.5 | 8.4 |\n| Luohu | 5.6 | 10 |\n| Nanshan | 5.8 | 8.7 |\n| Bao'an | 3.2 | 6.6 |\n| Longgang | 6.6 | 9.7 |\n| Yantian | 6.7 | 6.6 |\n| Longhua | 4.8 | 10.5 |\n| Pingshan | 8.6 | 7.7 |\n| Guangming | 4 | 7.5 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/41c208cacadae6e55a7fc94f4ed81a14.png", "anno": "### This Semester's Score Sheet\n| | |\n| --- | --- |\n| Chinese | 47 |\n| Math | 16 |\n| English | 18 |\n| Physics | 48 |\n| Chemistry | 75 |\n| Biology | 46 |\n| History | 48 |\n| Geography | 22 |\n| Politics | 45 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/fe0ca639fd0eee27ed5a839bdad8d72d.png", "anno": "| | |\n| --- | --- |\n| R1 | 100% |\n| R2 | 100% |\n| R3 | 100% |\n| R4 | 100% |\n| R5 | 100% |\n| R6 | 0% |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/af4333a5a14bcb266449fbf9bc2ab2e6.png", "anno": "### Late Ming Military Radar Chart\n| | |\n| --- | --- |\n| Field Combat | 50 |\n| Mobility | 43.5 |\n| Individual Armament | 82 |\n| Discipline | 48 |\n| Logistics | 35 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/8362fa26184f3619bbe652978c489428.png", "anno": "雷达图1(0,0),(0,0)\n### LPL Investment 5-Dimension Radar Chart\n| | |\n| --- | --- |\n| Competitive Strength | 90 |\n| Revenue Monetization | 87 |\n| Cost Health | 65 |\n| Brand Traffic | 98 |\n| Long-term Value | 75 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/7277f0036687fa5a2d6f350a36f1a1f5.png", "anno": "### Corporate Financial Statement Radar Chart\n\n| | Want Want | Master Kong |\n| --- | --- | --- |\n| Pro Stability | 90 | 75 |\n| Solvency | 87 | 64 |\n| Efficiency | 73 | 77 |\n| Growth | 62 | 57 |\n| CashFlow | 93 | 85 |\n| Valuation | 73 | 69 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/616bc71e002c99363a31e922b89abe6c.png", "anno": "雷达图1(0,0),(0,0)\n### LPL Investment 8-Dimension Radar Chart\n\n| | |\n| --- | --- |\n| Competitive Performance | 90 |\n| Revenue Capacity | 85 |\n| Cost Control | 60 |\n| Commercial Monetization | 85 |\n| Brand Influence | 95 |\n| Youth Academy System | 70 |\n| Ecosystem Synergy | 86 |\n| Long-term Sustainability | 75 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/ab09d997cf0eb730de04335feebde7f2.png", "anno": "雷达图1(0,0),(0,0)\n### Montana-class Battle ship Performance Radar Chart\n| | |\n| --- | --- |\n| HP | 95 |\n| Armor | 92 |\n| Main Battery | 99 |\n| Secondary | 98 |\n| Reload | 88 |\n| Speed | 75 |\n| Maneuver | 70 |\n| Concealment | 65 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/21c3106f21f4dcc583ab40f4ef8ad48d.png", "anno": "### Romance of the Three Kingdoms - Lü Bu 6-Stats Radar Chart\n| | |\n| --- | --- |\n| Strength | 100 |\n| Intelligence | 26 |\n| Politics | 20 |\n| Charm | 40 |\n| Fortune | 95 |\n| Leadership | 90 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6d1b09c93e0c5f319ea756ff681efa14.png", "anno": "### Score Statistics Chart\n\n| | Liam Davis | Lucas Davis |\n| --- | --- | --- |\n| English | 75 | 65 |\n| Math | 80 | 65 |\n| Physics | 70 | 55 |\n| Chemistry | 76 | 65 |\n| Biology | 74 | 62 |\n| History | 80 | 60 |\n| Geography | 72 | 52 |\n| Politics | 77 | 33 |\n| Music | 85 | 49 |\n| Art | 75 | 42 |\n| PE | 80 | 62 |\n| IT | 74 | 80 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/2671c154b1cfc8a17a55fbf9e25c710d.png", "anno": "雷达图1(0,0),(0,0)\n\n### Seven Metrics Chart of Mai Xiao wen\n| Metrics | |\n| --- | --- |\n| Recon | 97 |\n| Survival | 75 |\n| Mobility | 96 |\n| Control | 82 |\n| Disruption | 95 |\n| Burst | 71 |\n| Teamplay | 94 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/217b5ffc9076cced75038c371d5504cf.png", "anno": "雷达图1(0,0),(0,0)\n\n### Hero Radar Chart\n\n| | Hero 1 | Hero 2 |\n| --- | --- | --- |\n| HP | 88 | 42 |\n| ATK | 56 | 88 |\n| DEF | 79 | 43 |\n| Mastery | 44 | 55 |\n| CRIT Rate | 57 | 69 |\n| CRIT DMG | 43 | 86 |\n| Energy Recharge | 70 | 43 |\n| Support | 79 | 66 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b533dbc6d041ad4c0455ad12813ee097.png", "anno": "### Daily sugar intake\n| | Unit: gram |\n| --- | --- |\n| Day 1 | 46 |\n| Day 2 | 48 |\n| Day 3 | 54 |\n| Day 4 | 51 |\n| Day 5 | 67 |\n| Day 6 | 54 |\n| Day 7 | 63 |\n| Day 8 | 75 |\n| Day 9 | 47 |\n| Day 10 | 56 |\n| Day 11 | 53 |\n| Day 12 | 66 |\n| Day 13 | 49 |\n| Day 14 | 55 |\n| Day 15 | 54 |\n| Day 16 | 72 |\n| Day 17 | 50 |\n| Day 18 | 29 |\n| Day 19 | 37 |\n| Day 20 | 27 |\n| Day 21 | 30 |\n| Day 22 | 22 |\n| Day 23 | 40 |\n| Day 24 | 60 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/641606f8ce9b2f072e7b056977f080a4.png", "anno": "### CFA Financial 5-Dimension Radar Chart\n\n| | Revenue | Solvency | Expense Structure | Growth&Sustainability | Effciency compliance |\n| --- | --- | --- | --- | --- | --- |\n| | 40 | 35 | 45 | 25 | 40 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/37bd2f724ee2719e8c907f2ff3354fc7.png", "anno": "| | series1 | series2 |\n| --- | --- | --- |\n| Group A | 109 | 84 |\n| Group B | 122 | 108 |\n| Group C | 61 | 113 |\n| Group D | 85 | 91 |\n| Group E | 80 | 65 |\n| Group F | 63 | 84 |\n| Group G | 33 | 109 |\n| Group H | 14 | 84 |\n| Group I | 116 | 84 |\n| Group J | 66 | 91 |\n| Group K | 114 | 69 |\n| Group L | 93 | 44 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/78d93a38a72929d1233d4045afda0bd9.png", "anno": "### 2025 Precip\n\n| | Chang Sha |\n| --- | --- |\n| Jan | 59 |\n| Feb | 47 |\n| Mar | 35 |\n| Apr | 47 |\n| May | 55 |\n| Jun | 66 |\n| Jul | 39 |\n| Aug | 47 |\n| Sep | 36 |\n| Oct | 19 |\n| Nov | 32 |\n| Dec | 40 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/d0ee69e19c1dd0bb9b2f509506de1745.png", "anno": "### Civ 6 - Zhu Di 8-Stats Radar Chart\n\n| | |\n| --- | --- |\n| Early game | 87.5 |\n| Late Scaling | 81 |\n| Expansion | 94 |\n| Economy | 95 |\n| Science | 81 |\n| Military | 79 |\n| Defense | 98 |\n| Ease Of Play | 97 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/3c89a2bb5ff8c6a6c5147fdf4584dbdd.png", "anno": "### Score Sheet for Top Students\n| | student 1 | student 2 |\n| --- | --- | --- |\n| Chinese | 95 | 90 |\n| Math | 86 | 100 |\n| English | 97 | 93 |\n| Physics | 96 | 100 |\n| Chemistry | 95 | 99 |\n| Biology | 77 | 100 |\n| History | 88 | 97 |\n| Politics | 95 | 100 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/d7ac238b563f88938f98ac6092ced32b.png", "anno": "### Housing Price Comprehensive Chart\n\n| | Changsha | Wuhan |\n| --- | --- | --- |\n| Average New House Price | 54 | 34 |\n| Average Second-hand House Price | 49 | 27 |\n| House Price Growth Rate | 80 | 42 |\n| Regional Housing Price Difference | 100 | 51 |\n| House Price-to-Income Ratio | 60 | 50 |\n| School District Housing Premium Rate | 80 | 61 |\n| Supporting Facilities Premium | 40 | 34 |\n| Policy Impact Degree | 53 | 29 |\n| Long-term Preservation Rate | 32 | 47 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/d096c5bdcbe5ba0b4bc858e0cde6fc3c.png", "anno": "雷达图1(0,0),(0,0)\n### Forbidden City Tourism Investment 6-Dimension Radar Chart \n\n| | Investment |\n| --- | --- |\n| Flow | 94 |\n| Revenue | 68 |\n| Asset | 100 |\n| Operation | 63 |\n| Brand | 98 |\n| Sustainability | 85 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/847f90ea594f25aa3baa8c8b9f9cf6c7.png", "anno": "| | |\n| --- | --- |\n| Report and Complaint | 70 |\n| Report and Complaint | 75 |\n| Report and Complaint | 83 |\n| Report and Complaint | 65 |\n| Report and Complaint | 43 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a5318860dfbb7da915db574dbe21633e.png", "anno": "| | Rural | Urban |\n| --- | --- | --- |\n| 1 | 88 | 97 |\n| 2 | 86 | 94 |\n| 3 | 82 | 91 |\n| 4 | 80 | 95 |\n| 5 | 67 | 70 |\n| 6 | 76 | 84 |\n| 7 | 57 | 76 |\n| 8 | 51 | 53 |\n| 9 | 46 | 77 |\n| 10 | 55 | 74 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/d4be7881279962e8e5d775101374eca7.png", "anno": "| | |\n| --- | --- |\n| Advanced Mathematics | 79 |\n| Data Visualization | 98 |\n| Data Structure | 80 |\n| Physical Education (PE) | 86 |\n| C Programming Language | 75 |\n| Computer Organization | 87 |\n| Software Engineering | 45 |\n| English | 84 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/c0a1b9a57556c203b0ae239d7f6fb468.png", "anno": "| | |\n| --- | --- |\n| Linear Algebra | 68 |\n| Structural Mechanics | 90 |\n| College English | 83 |\n| Advanced Mathematics | 78 |\n| English Computer Lab | 88 |\n| Algorithm Design & Analysis | 73 |\n| Computer Organization | 68 |\n| College Physics I | 72 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/15d707fd17e362e34fc239f977d89f84.png", "anno": "雷达图1(0,0),(0,0)\n### Changsha Housing Market 7-Dimension Radar Chart (2026)\n\n| | |\n| --- | --- |\n| Price Level | 30 |\n| Affordability | 95 |\n| Stability | 90 |\n| Segmentation | 55 |\n| Supply-Demand | 80 |\n| Policy | 96 |\n| Potential | 79 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b1f2a2caffa2966c21c52d82114328ee.png", "anno": "### Daily Expenses\n\n| Day | Expenses |\n| ---- | ---- |\n| day1 | 70 |\n| day2 | 80 |\n| day3 | 70 |\n| day4 | 80 |\n| day5 | 63 |\n| day6 | 40 |\n| day7 | 55 |\n| day8 | 80 |\n| day9 | 93 |\n| day10 | 60 |\n| day11 | 60 |\n| day12 | 70 |\n| day13 | 96 |\n| day14 | 78 |\n| day15 | 53 |\n| day16 | 40 |\n| day17 | 40 |\n| day18 | 43 |\n| day19 | 35 |\n| day20 | 47 |\n| day21 | 57 |\n| day22 | 70 |\n| day23 | 125 |\n| day24 | 75 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/4b6906141479d5bce9e5eea7748718a5.png", "anno": "雷达图1(0,0),(0,0)\n### Grade Assessment\n\n| | Class1, Grade3 | Class2, Grade3 | Class3, Grade3 |\n| --- | --- | --- | --- |\n| Chinese | 87 | 65 | 55 |\n| Physics | 79 | 60 | 90 |\n| Chemistry | 54 | 67 | 83 |\n| English | 72 | 42 | 58 |\n| Mathematics | 64 | 85 | 70 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/e50138802bf956a57dbae67facea5818.png", "anno": "雷达图1(0,0),(0,0)\n### Six Metrics Chart of the As Val\n\n| | |\n| --- | --- |\n| Damage | 94 |\n| Range | 45 |\n| Accuracy | 70 |\n| Recoil | 58 |\n| Rate of Fire | 99 |\n| Handling | 74 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b89127a8e4508e13f43ca040f776fa47.png", "anno": "雷达图1(0,0),(0,0)\n### China-US Economic Comparison\n\n| | China | US |\n| --- | --- | --- |\n| Aggregate Scale | 94 | 98 |\n| Growth Momentum | 82 | 80 |\n| Industrial Quality | 90 | 97 |\n| Open Vitality | 80 | 89 |\n| People's Livelihood | 78 | 72 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/8d1d0ff68601702efca0001bdad431cf.png", "anno": "### Vehicle Comparison \n#### —— Passat\n| | |\n| --- | --- |\n| comfort | 85 |\n| Handling | 89 |\n| Safety | 69 |\n| Performance | 90 |\n| Fuel Consumption | 72 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/1aa722827e5e7bc4b61165238fd7acb9.png", "anno": "### Phoenix - Five Stats Radar Chart\n\n| | Burst | Survival | Control | Mobility | Teamplay |\n| --- | --- | --- | --- | --- | --- |\n| | 92 | 80 | 78 | 70 | 63 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f1e5103bae92781c918a8e1867da665d.png", "anno": "| | Shirley | Sonla |\n| --- | --- | --- |\n| math | 18 | 8 |\n| sport | 15 | 5.7 |\n| statistic | 7 | 3.2 |\n| physic | 8.3 | 19 |\n| french | 5 | 7.3 |\n| data-viz | 12 | 3 |\n| biology | 3 | 2.3 |\n| english | 20 | 6 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/be827c9bb874db328aacc8c881ca345b.png", "anno": "### Statistics Table of Intake\n| | Intake |\n| --- | --- |\n| 1 | 60 |\n| 2 | 47 |\n| 3 | 61 |\n| 4 | 47 |\n| 5 | 31 |\n| 6 | 36 |\n| 7 | 21 |\n| 8 | 37 |\n| 9 | 55 |\n| 10 | 39 |\n| 11 | 54 |\n| 12 | 54 |\n| 13 | 54 |\n| 14 | 40 |\n| 15 | 52 |\n| 16 | 60 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6100adcc74a98474ed21d09ae4329179.png", "anno": "### Military Budget Radar Chart\n\n| | US | CN |\n| --- | --- | --- |\n| Budget Scale | 99 | 87 |\n| GDP Ratio | 75 | 64 |\n| Per Capita | 99 | 53 |\n| Procurement | 97 | 90 |\n| R&D Innovation | 95 | 82 |\n| Global Projection | 98 | 69 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/87f326be9bb080ffa375e0d690b0ba27.png", "anno": "### Eight Metrics of Macedon\n\n| | |\n| --- | --- |\n| Infantry | 90 |\n| Cavalry | 95 |\n| Missile | 55 |\n| Navy | 50 |\n| Economy | 88 |\n| Technology | 75 |\n| Defense | 82 |\n| Late-Game | 62 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/60d9aeb9611e7a4512eb033e27accae0.png", "anno": "### Monthly capital investment\n#### Unit : ten thousand\n\n| Month | Monthly Capital Investment-ten thousand |\n| --- | --- |\n| Dec | 35 |\n| Jan | 80 |\n| Feb | 24 |\n| Mar | 38 |\n| Apr | 33 |\n| May | 40 |\n| Jun | 60 |\n| Jul | 27 |\n| Aug | 25 |\n| Sep | 13 |\n| Oct | 24 |\n| Nov | 25 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9e2fbe9d53bd8dbddd38915d6b38f04e.png", "anno": "### Average Daily Effective\n\n| Day | |\n| --- | --- |\n| Day 1 | 4 |\n| Day 2 | 1.4 |\n| Day 3 | 2.4 |\n| Day 4 | 1.6 |\n| Day 5 | 2.9 |\n| Day 6 | 1.8 |\n| Day 7 | 1.3 |\n| Day 8 | 6.5 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/29766f4ea4f0ee76bdab111598c98d4c.png", "anno": "### Faker(T1) 2025 Worlds 10-Dimension Radur Chart\n\n| | |\n| --- | --- |\n| Competitive | 94 |\n| Damage | 97 |\n| Teamfight | 85 |\n| Vision | 81 |\n| Clutch | 94 |\n| Pool | 88 |\n| Resource | 78 |\n| Leader ship | 85 |\n| Stabitity | 87 |\n| Impact | 97 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/8abd7f2ac33db253894efbce66474320.png", "anno": "### Academic Year Score Sheet\n| | Math | Chinese | English | Physics | Chemistry | Biology | History | Geography |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| | 58 | 80 | 65 | 99 | 100 | 62 | 85 | 80 |", "chart_type": "雷达图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9924549fa39b190e4d926ad951c1477e.png", "anno": "### 调研企业行业比例图\n\n| 行业 | 比例 |\n| --- | --- |\n| 机械制造 | 30.2% |\n| 医药化工 | 19.46% |\n| 食品 | 8.05% |\n| 服装纺织 | 4.7% |\n| 电子元器件 | 4.03% |\n| 矿业 | 3.36% |\n| 电线电缆 | 2.69% |\n| 教辅材料 | 2.69% |\n| 包装印刷 | 2.68% |\n| 电商平台 | 2.68% |\n| 技术服务企业 | 2.68% |\n| 其他 | 16.78% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/be16a9a3a9fd5184d2681b9ab020d170.png", "anno": "### 前十名股东持股比例（%）\n\n| 股东 | 持股比例(%) |\n| --- | --- |\n| 卢国建 | 28.01% |\n| 深圳市海联智合咨询顾问合伙企业 | 16.54% |\n| 深圳市远致创业投资有限公司 | 2.76% |\n| 苏州方广二期创业投资合伙企业 | 2.72% |\n| 彬元资本有限公司-赫里福德基金-彬元大中华基金-RQF Ⅱ | 2.40% |\n| 西藏津盛泰达创业投资有限公司 | 2.00% |\n| 中信证券-杭州银行-中信证券芯海科技员工参与科创板战略配售集合资产管理计划 | 1.92% |\n| 深圳鸿泰基金投资管理有限公司-深圳南山鸿泰股权投资基金合伙企业 | 1.72% |\n| 中国建设银行股份有限公司-信达澳银新能源产业股票型证券投资基金 | 1.00% |\n| 彬元资本有限公司-美世投资基金1 | 0.98% |\n| 其他 | 39.95% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/72dbc38a0d4abc1e3ce2b346ecd4fc7f.png", "anno": "### 图1: 公司2021年营收构成\n| | |\n| --- | --- |\n| 智能变配电系统 | 37% |\n| 智能中压供用电设备 | 19% |\n| 智能电表 | 21% |\n| EMS加工服务及其他 | 5% |\n| 电动汽车智能充换电系统 | 10% |\n| 直流输电系统 | 8% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/7605c55cbc5217e8897e750054f5a5c8.png", "anno": "### 伪基站短信类型占比\n\n| 短信类型 | 占比 |\n| --- | --- |\n| 银行、信用卡提额 | 25% |\n| 积分兑换现金 | 53% |\n| 赌博 | 1% |\n| 其他 | 1% |\n| 售卖发票 | 2% |\n| 话费充值 | 4% |\n| 非法贷款 | 4% |\n| 账户异常 | 10% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/17d005823a6ff2353e0f9dc73dc17c3c.png", "anno": "### 2019年全球疫苗市场企业竞争格局\n\n| | |\n| --- | --- |\n| GSK | 28.0% |\n| 赛诺菲 | 19.7% |\n| 默沙东 | 24.4% |\n| 辉瑞 | 17.9% |\n| 其他 | 9.9% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/6d7b35440669b171706b974169ed32fe.png", "anno": "### 10月各省文旅项目投资及开工金额占比\n\n| | |\n| --- | --- |\n| 湖北省 | 14.09% |\n| 陕西省 | 11.4% |\n| 山东省 | 8.6% |\n| 云南省 | 21.62% |\n| 广东省 | 6.45% |\n| 江苏省 | 30.12% |\n| 江西省 | 0.84% |\n| 山西省 | 5.92% |\n| 四川省 | 0.32% |\n| 浙江省 | 0.64% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/ff22fca8e2f857341d82fa38b052fa5a.png", "anno": "### 社群运营招聘热度-工作经验要求\n\n| | |\n| --- | --- |\n| 应届生 | 3.19% |\n| 1年以内 | 17.02% |\n| 1-3年 | 43.09% |\n| 3-5年 | 11.17% |\n| 5-10年 | 0.53% |\n| 经验不限 | 25% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/68a554921158ae4d933ae725a32dfbc6.png", "anno": "### 图 19：截止 2018Q3，公司 RPO 服务涵盖职业范围广泛\n\n| | |\n| --- | --- |\n| 销售及营销 | 25.4% |\n| 信息技术 | 23.7% |\n| 办公室服务 | 20.7% |\n| 工业 | 16.7% |\n| 技术、英语及建筑 | 6.0% |\n| 法律及金融 | 4.7% |\n| 客户服务中心 | 2.9% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1b9850521070e99c7f0f25413fb4df8b.png", "anno": "### 法语专业毕业生就业地区分布\n\n| | |\n| --- | --- |\n| 深圳 | 34% |\n| 上海 | 16% |\n| 广州 | 13% |\n| 北京 | 9% |\n| 武汉 | 7% |\n| 杭州 | 5% |\n| 苏州 | 3% |\n| 厦门 | 3% |\n| 成都 | 3% |\n| 其他 | 7% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/7136d194cd8a4274b6135576da81792b.png", "anno": "饼图1(0,0),(0,0)\n### Q:对5G网络的认知和感受是?\n\n| 对5G网络的认知和感受 | |\n| --- | --- |\n| 有一定提升，但不明显 | 40.15% |\n| 速度超快，体验很棒 | 11.86% |\n| 套餐太贵 | 4.37% |\n| 和4G差别不大 | 6.39% |\n| 不清楚 | 37.23% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/2e7b03e29b6dc192c02e3d8f5ba8be89.png", "anno": "| | |\n| --- | --- |\n| 农产品物流总额 | 5.6% |\n| 单位与居民物品物流总额 | 14.3% |\n| 外部流入货物物流总额 | 37.0% |\n| 工业品物流总额 | 43.1% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/928245a7c5be52c459654d93e3bb677a.png", "anno": "### 2025年二季度银行业典型负面事件类型分布\n\n| | |\n| --- | --- |\n| 高管被查 | 46.67% |\n| 监管处罚 | 16.67% |\n| 客诉纠纷 | 10.00% |\n| 人事纠纷 | 6.67% |\n| 存取款纠纷 | 6.67% |\n| 员工行为 | 6.67% |\n| 诉讼纠纷 | 3.33% |\n| 经营业绩 | 3.33% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a1dac0a5c69a796549f9e5eda28dd16a.png", "anno": "### 敏感判定因素分布\n\n| | |\n| --- | --- |\n| 情感对象(实体) | 53.82% |\n| 自然语义&业务规则 | 26.41% |\n| 自然语义 | 11.31% |\n| 其他 | 5.66% |\n| 业务规则 | 2.8% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/7e3e3ba5744d45085b8fac05c774ed8f.png", "anno": "### 对比年初, 企业2022年上半年在人力资源数字化方面投入预算变化\n| | |\n| --- | --- |\n| 预算增加 | 30.50% |\n| 预算减少 | 7.00% |\n| 预算不变 | 21.00% |\n| 现有预算内, 寻找价值更明显的产品| 41.50% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b99156d778fd8b7356fe7ecd7ba33d72.png", "anno": "### 2019年中芯国际市场营收分布\n\n| | |\n| --- | --- |\n| 通讯 | 45.7% |\n| 消费 | 34.3% |\n| 汽车及工业 | 5.9% |\n| 个人电脑 | 5.2% |\n| 其他相关应用 | 8.9% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1948a4eda8610ec25cd05e2d9b38111b.png", "anno": "| | |\n| --- | --- |\n| 海港与服务 | 27.74% |\n| 鞋类 | 21.43% |\n| 综合类行业 | 13.70% |\n| 建筑与工程 | 11.35% |\n| 工业机械 | 8.51% |\n| 新能源发电业者 | 7.56% |\n| 建筑机械与重型卡车 | 3.40% |\n| 信息科技咨询与其它服务 | 3.15% |\n| 煤炭与消费用燃料 | 3.15% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/c219dcbb218a7acfb1e4f68f19797d20.png", "anno": "### 共享充电宝项目轮次分布概览\n\n| 轮次 | 占比 |\n| --- | --- |\n| 未融资 | 47% |\n| 种子天使 | 29% |\n| Pre-A轮 | 5% |\n| A轮及以前 | 13% |\n| B轮 | 2% |\n| B+轮 | 2% |\n| 并购 | 2% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/cd32128fc876df0e1adb13f430b89de4.png", "anno": "### 上半年上海地区违法类垃圾短信分布占比\n| | |\n| --- | --- |\n| 色情广告 | 2.511% |\n| 其他 | 0.295% |\n| 非法赌博 | 53.742% |\n| 考试答案买卖 | 0.005% |\n| 保外就医 | 0.046% |\n| 假证件、发票买卖 | 42.947% |\n| 低价售车 | 0.455% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/8aef4f38cfd271bc88cbe400eeeea425.png", "anno": "### 您倾向于用哪种方式控制晾衣机？\n\n| | |\n| --- | --- |\n| 声控 | 25.0% |\n| 面板控制 | 18.8% |\n| 遥控器 | 28.1% |\n| 智能家居联动 | 25.0% |\n| 人工手动 | 3.1% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/ade0876f658105e72fab02ca1feb0615.png", "anno": "### 安防工程各行业应用占比\n\n| 行业 | 占比 |\n| --- | --- |\n| 楼宇/物业 | 22.18% |\n| 工厂/园区 | 20.88% |\n| 教育/学校 | 14.73% |\n| 卖场/零售业 | 12.76% |\n| 其他 | 9.12% |\n| 司法监狱 | 5.3% |\n| 医疗 | 4.97% |\n| 电力/水利 | 4.97% |\n| 能源/环保 | 2.97% |\n| 平安城市 | 0.91% |\n| 金融行业 | 0.61% |\n| 智能交通 | 0.61% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/fc03b8589d7fbe3dd2795d365f05942e.png", "anno": "### 全球VR/AR行业主要领域融资表\n\n| 领域 | |\n| --- | --- |\n| VR | 17.56% |\n| AR | 35.84% |\n| 元宇宙 | 7.89% |\n| 相关技术 | 38.71% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/85ead593bb89fffc551df8aeba2b17da.png", "anno": "### 塞纳河粉丝年龄分布\n| | |\n| --- | --- |\n| 10岁以下 | 0.5% |\n| 30岁以上 | 5.02% |\n| 25-30岁 | 11.06% |\n| 20-25岁 | 56.28% |\n| 10-20岁 | 27.14% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/de844f53c078c698c0c7f2b5e25495ef.png", "anno": "### 调研企业当前招工情况\n| 招工情况 | |\n| --- | --- |\n| 急需招工 | 33.4% |\n| 需要招工 | 222.27% |\n| 和去年类似 | 247.30% |\n| 不太需要招工 | 197.23% |\n| 无需招工 | 134.16% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0d1e25d30086cffe2b7b05a867a09fa7.png", "anno": "### 2021年美国上榜企业研发投入行业分布\n\n| | |\n| --- | --- |\n| 研发投入-软件和计算机服务 | 32.7% |\n| 研发投入-制药和生物技术 | 25.6% |\n| 研发投入-技术硬件和设备 | 20.0% |\n| 研发投入-汽车及零部件 | 5.1% |\n| 研发投入-医疗设备和服务 | 2.7% |\n| 研发投入-电子电气设备 | 2.3% |\n| 研发投入-航空航天与国防 | 1.7% |\n| 其它 | 9.9% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3a3f130320771c2ce4adef322d43c840.png", "anno": "### 互联网产业产品技术核心岗位对人才工作经验要求\n\n| | |\n| --- | --- |\n| 1年以下 | 1.4% |\n| 1-3年 | 30.0% |\n| 3-5年 | 35.3% |\n| 5-10年 | 11.3% |\n| 10年以上 | 0.6% |\n| 经验不限 | 21.4% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/bb9e1790e0712f9cefe8da6b8548e087.png", "anno": "### 中国PCB覆铜板下游应用领域(单位：%)\n\n| 应用领域 | |\n| --- | --- |\n| 通讯设备 | 29% |\n| 计算机 | 24% |\n| 消费电子 | 14% |\n| 汽车电子 | 10% |\n| 工业控制 | 5% |\n| 军事/航天 | 5% |\n| 医疗电子 | 2% |\n| 其他 | 11% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/7fd68b20f5f858131b05986f28210c94.png", "anno": "### 研究生就业单位流向\n\n| 就业单位 | |\n| --- | --- |\n| 教育单位 | 41.14% |\n| 企业 | 38.18% |\n| 医疗卫生单位 | 10.73% |\n| 机关与事业单位 | 7.62% |\n| 其他（基层项目、应征入伍等） | 2.33% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1636bbf508b47d875eae0f1ca5257749.png", "anno": "| | |\n| --- | --- |\n| 农产品物流总额 | 5.2% |\n| 单位与居民销售额 | 14.0% |\n| 外部流入货物物流总额 | 37.3% |\n| 工业品物流总额 | 43.5% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0527eb57ad46baecde8e009e0f36cc13.png", "anno": "### 高管及核心人员离任原因分布\n\n| 原因 | |\n| --- | --- |\n| 工作变动 | 44.12% |\n| 个人原因 | 35.29% |\n| 达退休年龄 | 14.71% |\n| 其他/不明确 | 5.88% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/a6d995d25ae6c36358dd8cd9b248da97.png", "anno": "### 2022年我国塔筒桩基行业市场竞争格局（%）\n\n| | |\n| --- | --- |\n| 大金重工 | 13.73% |\n| 天顺风能 | 13.18% |\n| 天能重工 | 11.91% |\n| 海力风电 | 5.03% |\n| 泰胜风能 | 4.88% |\n| 其他 | 51.27% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/517fe50c6ea3d41f3c01b14b5bf4a8c4.png", "anno": "### 2021届中国高校毕业生岗位薪酬区间\n| | |\n| --- | --- |\n| 3K以下 | 1.1% |\n| 3K-5K | 18.2% |\n| 5K-7K | 34.5% |\n| 7K-9K | 23.6% |\n| 9K-11K | 11.7% |\n| 11K+ | 10.9% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/4232ec4f0435a8e6fd1e3b770b6b16fb.png", "anno": "| | |\n| --- | --- |\n| 临时增加或变更需求 | 20.41% |\n| 工时评估不准确 | 12.86% |\n| 风险识别提前量太短 | 12.82% |\n| 团队成员技能不足 | 11.32% |\n| 团队成员协作、沟通效率低 | 10.78% |\n| 客户项目干系人出现变更 | 7.18% |\n| 项目成员流失严重 | 6.89% |\n| 项目所需资源无法到位 | 6.89% |\n| 我们的项目从不延期 | 4.95% |\n| 团队缺乏项目管理经验 | 4.48% |\n| 其他 | 1.42% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/5c401e1c77a7e25b8fcf9dfc6948f71f.png", "anno": "### 每周工作时长分布\n\n| | |\n| --- | --- |\n| 40小时 | 30.7% |\n| 50小时 | 42.46% |\n| 60小时 | 14.52% |\n| 70小时 | 6.07% |\n| 80小时 | 3.86% |\n| 其他 | 2.39% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/c1411c3a7baababfb36aa258b0a6baf4.png", "anno": "### 保险学专业就业行业分布\n\n| 行业 | |\n| --- | --- |\n| 保险 | 47% |\n| 金融/投资/证券 | 32% |\n| 互联网/电子商务 | 5% |\n| 生活服务 | 5% |\n| 专业服务（咨询/财会） | 2% |\n| 新能源 | 2% |\n| 其他 | 7% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/18471b8518f0dffd249d655a2d3b13a4.png", "anno": "### 每周工作时长分布\n\n| | |\n| --- | --- |\n| 40小时 | 30.7% |\n| 50小时 | 42.46% |\n| 60小时 | 14.52% |\n| 70小时 | 6.07% |\n| 80小时 | 3.86% |\n| 其他 | 2.39% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/077942e4d7f8550fd01f1dd3609f6ac2.png", "anno": "### 2023年10月服务问题投诉问题点占比\n\n| 问题点 | | 占比 |\n| --- | --- | --- |\n| 服务态度 | 239个 | 5.3% |\n| 人员技术 | 369个 | 8.1% |\n| 服务收费 | 376个 | 8.3% |\n| 承诺不兑现 | 423个 | 9.3% |\n| 销售欺诈 | 664个 | 14.6% |\n| 配件争议 | 201个 | 4.4% |\n| 服务流程不完善 | 1683个 | 37% |\n| 其他服务问题 | 590个 | 13% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/6a3883a56a8f036fed6a6ec2328ef908.png", "anno": "### 2015年9月银行间市场主要券种持有人结构\n\n| | |\n| --- | --- |\n| 商业银行 | 57.66% |\n| 其他 | 0.04% |\n| 人民银行批准的境外机构 | 1.83% |\n| 非银行金融机构（法人/非法人） | 30.52% |\n| 交易所 | 4.34% |\n| 特殊结算成员 | 5.62% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/0625335bb22dddedca12485611121fab.png", "anno": "### 图6 受访者认为浪费最严重的餐饮消费行为（单选）\n\n| 餐饮消费 | |\n| --- | --- |\n| 婚丧宴请 | 56% |\n| 商务宴请 | 22% |\n| 公务用餐 | 12% |\n| 亲朋聚餐 | 6% |\n| | 3% |\n| 其他 | 1% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/85e326983f3830f9c59bb12586879e47.png", "anno": "### 2021年英国上榜企业研发投入行业分布\n\n| | |\n| --- | --- |\n| 研发投入-制药和生物技术 | 44.6% |\n| 研发投入-银行 | 12.3% |\n| 研发投入-软件和计算机服务 | 8.6% |\n| 研发投入-航空航天与国防 | 4.2% |\n| 研发投入-汽车及零部件 | 4.2% |\n| 研发投入-石油和天然气生产 | 3.3% |\n| 研发投入-食品生产 | 3.1% |\n| 其它 | 19.8% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/8f809b0af3b49d90ad848d20cf321692.png", "anno": "### 企业云计算服务主要采用哪种部署方式\n\n| | |\n| --- | --- |\n| 公有云服务 | 15.3% |\n| 私有部署 | 53% |\n| 已经使用多云/混合云 | 31.7% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/9f2073efa5ef4669cf7d577b21273ecc.png", "anno": "### 共享衣橱项目轮次分布概览\n#### 数据来源：鲸准洞见\n\n| 轮次 | |\n| --- | --- |\n| 未融资 | 46% |\n| 种子天使 | 19% |\n| Pre-A轮 | 2% |\n| A轮 | 27% |\n| A+轮 | 3% |\n| C轮 | 3% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/4727abe0c4b16579121275c218d35fdc.png", "anno": "### 图1：2021年各领域隐私计算厂商市场规模占比\n\n| 隐私计算厂商 | 市场规模占比 |\n| --- | --- |\n| 初创专精型厂商 | 31% |\n| 人工智能/金融科技厂商 | 22% |\n| 区块链厂商 | 21% |\n| 互联网厂商 | 14% |\n| 网络安全/大数据厂商 | 10% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/5c5103f111a8cc440c17f45e363d847b.png", "anno": "### 2019年9月房企融资概况\n\n| | |\n| --- | --- |\n| 股权融资 | 4% |\n| 其他 | 8% |\n| 融资担保 | 29% |\n| 债券融资 | 41% |\n| 资产支持计划 | 18% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/2a41be3306df677c5d10758a4a4075e4.png", "anno": "### 全球独角兽公司数量\n| | |\n| --- | --- |\n| 独角兽公司数量-企业科技 | 30.2% |\n| 独角兽公司数量-金融服务 | 17.7% |\n| 独角兽公司数量-消费者和零售 | 17.7% |\n| 独角兽公司数量-先进制造业 | 15.6% |\n| 独角兽公司数量-医疗和生命科学 | 10.0% |\n| 独角兽公司数量-媒体和娱乐 | 6.6% |\n| 独角兽公司数量-保险 | 2.2% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/3b77082a89d369482cafbfc7b28b2335.png", "anno": "### 国内电视机相关企业主要分布行业\n\n| 行业 | |\n| --- | --- |\n| 批发和零售业 | 50% |\n| 制造业 | 17% |\n| 信息传输、软件和信息技术服务业 | 10% |\n| 科学研究和技术服务业 | 9% |\n| 居民服务、修理和其他服务业 | 5% |\n| 租赁和商务服务业 | 3% |\n| 其他行业 | 6% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/76e11d6358b3d72e9494543905bd590f.png", "anno": "| | |\n| --- | --- |\n| A.线上平台（如淘宝、京东、拼多多等） | 45.2% |\n| B.线下当地家电卖场（如银座电器、三联家电、苏宁易购、京东电器等） | 46.07% |\n| C.家电品牌专卖店 | 8.73% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/1977f3ef5159b5cb740ba0989957158c.png", "anno": "| | |\n| --- | --- |\n| 高校 | 30.43% |\n| 其他 | 4.35% |\n| 事业单位 | 10.87% |\n| 公务员 | 13.04% |\n| 私企、外企 | 8.7% |\n| 设计院、规划院 | 6.52% |\n| 甲方企业 | 8.7% |\n| 科研院所 | 17.39% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/c3a3996587811f1ea692c9859dfd14a6.png", "anno": "### 节后公司的人员流动情况\n\n| | |\n| --- | --- |\n| 人员流失严重 | 31.5% |\n| 不清楚 | 27.0% |\n| 团队人员换血 | 17.4% |\n| 未发生人员变动 | 13.1% |\n| 有新同事入职，团队壮大 | 11.0% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/6bb6a8aeaac2ece14b0d8d948c4bfee8.png", "anno": "### 你认为日系车有哪些优点？\n| | |\n| --- | --- |\n| 省油，油耗超低 | 31% |\n| 造型设计前卫、时尚 | 10% |\n| 安全性好，针对驾驶员和行人都有多种保护措施 | 4% |\n| 内饰精细、安静舒适 | 7% |\n| 故障率低、耐用性好 | 23% |\n| 自然吸气、涡轮增压、混合动力形式多样 | 6% |\n| 电子配置丰富 | 4% |\n| 维修保养成本低 | 15% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/b2bbae839518ff020fbc9cc0f60e1777.png", "anno": "### 图表：功率半导体主要应用市场及占比情况\n\n| 应用市场 | 占比 |\n| --- | --- |\n| 汽车 | 30% |\n| 工业 | 27% |\n| 消费电子 | 22% |\n| 光伏风电 | 11% |\n| 智能电网 | 6% |\n| 轨道交通 | 4% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "中文"} +{"img_path": "images/671024346b6abb6e680485a9519a86f4.png", "anno": "### Small Luxury SUV Sales In Canada - November 2010\n#### Click Graph For Larger View\n#### www.GoodCarBadCar.net\n\n| | |\n| --- | --- |\n| Acura RDX | 227 |\n| Audi Q5 | 201 |\n| BMW X3 | 182 |\n| Cadillac SRX | 263 |\n| Infiniti EX | 137 |\n| Land Rover LR2 | 36 |\n| Mercedes GLK | 492 |\n| Volvo XC60 | 156 |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a52ffaa4a51b25e0a02b952d24e7137a.png", "anno": "### Facebook Leads Sharing\n#### Source: AddToAny\n\n| | |\n| --- | --- |\n| Facebook | 24.0% |\n| Email | 11.1% |\n| Twitter | 10.8% |\n| Yahoo Bookmarks | 5.5% |\n| Myspace | 5.0% |\n| Windows Live | 4.7% |\n| Delicious | 4.5% |\n| Digg | 4.4% |\n| Google Bookmarks | 4.0% |\n| Yahoo Buzz | 3.9% |\n| Reddit | 3.8% |\n| StumbleUpon | 3.4% |\n| Bebo | 3.1% |\n| Other | 11.4% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/97233c74c2c7e56a7bedbfc7ea587640.png", "anno": "### What feature is missing in iOS/iPadOS 15 that you think should have been included?\n#### 3,005 responses\n\n| | |\n| --- | --- |\n| Better external display support for iPad | 13.2% |\n| Pro tools (Xcode, Final Cut Pro, etc.)... | 14.9% |\n| Other | 2.1% |\n| Always-on display for time and notifications | 21% |\n| App lock feature using Face ID/passcode | 3.1% |\n| Split screen multitasking capabilities o... | 5.4% |\n| Support for multiple user accounts | 8% |\n| Addition of interactive widgets | 32.3% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/5bb1f4f6fc652ef1304b5b53a1db7004.png", "anno": "### Planned iPad Support\n\n| | |\n| --- | --- |\n| iPad app by 6/30/2010 | 3% |\n| iPad website by 6/30/2010 | 6% |\n| Use existing iPod app/website | 7% |\n| iPad app or site by 12/31/2011 | 10% |\n| iPad app or site by 12/31/2010 | 12% |\n| Can't disclose or other | 19% |\n| No plans to support iPad | 43% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/5e8159e471fd88c80212128b4cb6c387.png", "anno": "| | |\n| --- | --- |\n| 18 to 24 | 36.7% |\n| 25 to 34 | 32.6% |\n| 35 to 44 | 16.1% |\n| 45 to 54 | 8.3% |\n| 55 and above | 6.3% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/5a46c327a86fff61e2c6c694b7c243e4.png", "anno": "| | |\n| --- | --- |\n| Machine Learning (ML) | 35% |\n| others | 19% |\n| Data Mining Knowledge Management (DMKM) | 7% |\n| Application Domains (APP) | 7% |\n| Speech Natural Language Processing (SNLP) | 11% |\n| Computer Vision (CV) | 20% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/e3ad1f314aed02aa214a5471c9e5c779.png", "anno": "### 2nd Half 2019\n| | |\n| --- | --- |\n| CRP | 28% |\n| CF concrete | 6% |\n| CF ceramics | 5% |\n| GRP | 35% |\n| NRP | 6% |\n| across all segments | 15% |\n| other | 5% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/1b31dc0dc4079d700ceae981efe25deb.png", "anno": "### Angel List Job Postings (USA) as of April 2017\n\n| | |\n| --- | --- |\n| JavaScript | 20.6% |\n| Python | 13% |\n| Java | 9.8% |\n| Ruby | 8.6% |\n| PHP | 5.8% |\n| C | 10.8% |\n| C# | 10.3% |\n| C++ | 10.3% |\n| SQL | 6.2% |\n| Swift | 4.6% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a9b3a1aa5124cf09a5d8086cea6d4a31.png", "anno": "### North American university destinations 2015-2021\n\n| University | Destinations |\n| --- | --- |\n| University of Chicago | 6 |\n| Brown | 5 |\n| Harvard | 5 |\n| Pennsylvania | 5 |\n| Stanford | 4 |\n| Cornell | 3 |\n| Duke | 3 |\n| Georgetown | 3 |\n| Bowdoin | 2 |\n| British Columbia | 2 |\n| Rice | 2 |\n| Southern California | 2 |\n| UC Berkeley | 2 |\n| Othetr - single place destinations | 15
Berklee (1). Berkless College ofMesie (1). Boston (t), CarnegleMellon (I), Dartnouth (I), Emory(1). Haverford (t). Johns Hopkins(I). Middlebury (1). Northwestern(I).San Francisco (t) UCLA(1),Virginia (T). Wesleyan (t). |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a7c0ce4c0d072d2c497a9dcf0d4291d8.png", "anno": "### 市場規模: 12億ドル\n| | |\n| --- | --- |\n| Samsung | 36.0% |\n| NEC | 15.4% |\n| Fujitsu | 6.2% |\n| Dell | 6.0% |\n| HPE | 5.9% |\n| Nokia | 3.7% |\n| Rakuten Symphony | 3.2% |\n| SuperMicro | 3.1% |\n| Wind River | 2.4% |\n| Mavenir | 2.2% |\n| Robin.io | 1.3% |\n| VMware | 1.3% |\n| Red Hat | 1.2% |\n| AWS | 1.0% |\n| Other | 11.0% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/de76351c867df92aedad8f04ab9ff179.png", "anno": "### Investor type with exposure to decentralized finance (DeFi)\n\n| Investor type | | |\n| --- | --- | --- |\n| Crypto VC | 39.1% | 54 |\n| Traditional VC | 22.5% | 31 |\n| Angel | 13.0% | 18 |\n| Companies | 8.0% | 11 |\n| Hedge fund/Trading firm | 6.5% | 9 |\n| Accelerators | 5.8% | 8 |\n| Corporate VC | 2.9% | 4 |\n| Other | 2.2% | 3 |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/f2b4979d687c2d06f5328549ea2cef51.png", "anno": "### Figure 6.1: TCO cost breakdown for case study A.\n#### Case A Cost Distribution\n\n| | |\n| --- | --- |\n| Server Amortization | 65.9% |\n| Server Interest | 3.8% |\n| | 4.6% |\n| Server OPEX | 3.3% |\n| Server Power | 3.8% |\n| PUE Overhead | 3.0% |\n| DC Amortization | 7.3% |\n| DC Interest | 4.1% |\n| DC OPEX | 4.2% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/fa709c6e6bf23a8d6e58d5be4108dc6e.png", "anno": "### Top 10 carrier groups' share of global fleet\n| | | |\n| --- | --- | --- | \n| #1 – MSC | 4,598,373 TEUs | 17.7% |\n| #2 – Maersk | 4,219,395 TEUs | 16.2% |\n| #3 – CMA CGM | 3,393,190 TEUs | 13% |\n| #4 – Cosco | 2,871,859 TEUs | 11% |\n| #5 – Hapag-Lloyd | 1,782,689 TEUs | 6.9% |\n| #6 – Evergreen | 1,661,865 TEUs | 6.4% |\n| #7 – ONE | 1,528,921 TEUs | 5.9% |\n| #8 – HMM | 816,365 TEUs | 3.1% |\n| #9 – Yang Ming | 707,354 TEUs | 2.7% |\n| #10 – Zim | 533,823 TEUs |2.1% |\n| All others | 3,892,582 TEUs | 15% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/e2852399cb0568535437188c1db9bf0f.png", "anno": "### Coatings Industry Sales\n#### Source: Axalta estimates\n\n| | Sales |\n| --- | --- |\n| Decorative Paints | 42% |\n| General Industrial | 20% |\n| Auto OEM | 7% |\n| Protective Paints | 7% |\n| Wood | 6% |\n| Auto Refinish | 5% |\n| Marine Paints | 3% |\n| Coil | 3% |\n| Offshore and Containers | 2% |\n| Packaging | 2% |\n| Aerospace | 1% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/b35d63312d48e88d5b097fe57d149575.png", "anno": "### Distribution of Expenses Using Our Statistical Model:\n\n| | |\n| --- | --- |\n| Transportation | 7.9% |\n| Clothing And Shoes | 1.7% |\n| Sports And Leisure | 3.8% |\n| Markets | 28.5% |\n| Utilities (Monthly) | 5.5% |\n| Rent Per Month | 39.5% |\n| Restaurants | 13.1% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/2d6e22262ed3eacaf91e1a8e30c6310c.png", "anno": "### 2020年各国癌症新发病例数\n\n| | | |\n| --- | --- | --- |\n| China | 4568754 | 23.7% |\n| United States of America | 2281658 | 11.8% |\n| India | 1324413 | 6.9% |\n| Japan | 1028658 | 5.3% |\n| Germany | 628519 | 3.3% |\n| Brazil | 592212 | 3.1% |\n| Russian Federation | 591371 | 3.1% |\n| France | 467965 | 2.4% |\n| United Kingdom | 457960 | 2.4% |\n| Italy | 415269 | 2.2% |\n| Others | 6936010 (36%) |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/8f51134323713ef99bdac0cf94b073c1.png", "anno": "| | |\n| --- | --- |\n| Germany | 14.1% |\n| | 0.168% |\n| | 0.343% |\n| | 0.614% |\n| | 0.701% |\n| | 0.767% |\n| | 0.777% |\n| | 0.79% |\n| | 0.894% |\n| | 0.929% |\n| | 0.933% |\n| | 1.25% |\n| Switzerland | 1.29% |\n| Austria | 1.4% |\n| Sweden | 1.54% |\n| Hungary | 1.7% |\n| Serbia | 1.73% |\n| Czech Republic | 1.75% |\n| Belgium | 1.77% |\n| Portugal | 1.82% |\n| Greece | 1.83% |\n| Netherlands | 2.83% |\n| Romania | 3.8% |\n| Poland | 6.57% |\n| Spain | 6.9% |\n| Italy | 9.92% |\n| United Kingdom | 10.4% |\n| France | 10.4% |\n| Turkey | 12.1% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/df30c848a459ab6374eec21ca1df6e8b.png", "anno": "### Worldwide smartphone shipments market share and volume growth, top 10 vendors, 2025\n\n| | | |\n| --- | --- | --- |\n| Apple | 19% | +7% |\n| Samsung | 19% | +7% |\n| Xiaomi | 13% | -2% |\n| vivo | 8% | +4% |\n| OPPO | 8% | -3% |\n| TRANSSION | 8% | -8% |\n| HONOR | 6% | +11% |\n| Lenovo | 5% | +6% |\n| Huawei | 4% | +2% |\n| realme | 3% | -13% |\n| Others | 6% | |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/70ceeb9ff3db6705c9fe65226a9b6db5.png", "anno": "### Household income\n#### Nearly one-third of the Bing Network audience has a household income of $100,000 or more.***\n\n| Household income | |\n| --- | --- |\n| Less than $25,000 | 7% |\n| $25,000 - $39,999 | 9% |\n| $40,000 - $59,9... | 15% |\n| $60,000 - $74,999 | 12% |\n| $75,000 - $99,999 | 14% |\n| $100,000 or more | 32% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/5597ba9b9ce03c617117f857f9d0f313.png", "anno": "### Which character do you think is currently the strongest?\n\n| | |\n| --- | --- |\n| Berserker | 9.1% |\n| It is too early to say | 36.3% |\n| Striker | 4.7% |\n| Grappler | 1.7% |\n| Inquisitor | 5.3% |\n| Crusader | 20.5% |\n| Kuncichi | 2.2% |\n| Vanguard | 1.4% |\n| Ranger | 3.6% |\n| Dragon Knight | 2.8% |\n| Hitman | 2.6% |\n| Ghostbiade | 9.8% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/8351c56693a24b240a2a58bdcf623ea7.png", "anno": "### How2matplotlib.com Optimized Pie Chart\n\n| | |\n| --- | --- |\n| A | 30.0% |\n| B | 20.0% |\n| C | 15.0% |\n| D | 10.0% |\n| E | 5.0% |\n| F | 8.0% |\n| G | 7.0% |\n| Other | 5.0% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/3d7ff78b60d4ba51d07ed25107e81335.png", "anno": "### North American university destinations 2015-2021\n\n| University | Destinations |\n| --- | --- |\n| University of Chicago | 6 |\n| Brown | 5 |\n| Harvard | 5 |\n| Pennsylvania | 5 |\n| Stanford | 4 |\n| Cornell | 3 |\n| Duke | 3 |\n| Georgetown | 3 |\n| Bowdoin | 2 |\n| British Columbia | 2 |\n| Rice | 2 |\n| Southern California | 2 |\n| UC Berkeley | 2 |\n| Othetr - single place destinations | 15
Berklee (1). Berkless College ofMesie (1). Boston (1), Carnegle Mellon (1), Dartnouth (1), Emory(1). Haverford (1). Johns Hopkins(1). Middlebury (1). Northwestern(1).San Francisco (1) UCLA(1),Virginia (1). Wesleyan (1). |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/273fc8c7ffa0a2d5524b0c39b0d24778.png", "anno": "### Figure 2 Frequency of KRAS mutation subtypes in 113 KRAS mutation patients.\n| | |\n| --- | --- |\n| G12D | 23.9% |\n| G12S | 1.8% |\n| G12V | 22.1% |\n| G13C | 1.8% |\n| G13D | 3.5% |\n| Q61R | 0.9% |\n| Q61H | 5.3% |\n| G12A | 7.1% |\n| G12C | 33.6% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/addf7351d3be5d117a8630ea405d259e.png", "anno": "饼图1(0,0),(0,0)\n### 2017 Retail Chapter 11 Cases\n\n| Retail | |\n| --- | --- |\n| Apparel | 55% |\n| Children's Games/Toys | 7% |\n| Health & Beauty | 10% |\n| Electronics | 6% |\n| Department Stores | 3% |\n| Furniture | 3% |\n| Pawn Shops | 6% |\n| Sporting/Outdoor Goods | 10% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/9f2b8dd0bb7c7c4f37d8e9d9b9db9691.png", "anno": "### Smartphone Market Share by Value\n\n| | |\n| --- | --- |\n| Apple | 43.0% |\n| Xiaomi (including Redmi) | 18.0% |\n| Huawei | 11.5% |\n| vivo (including iQoo) | 9.6% |\n| OPPO (including OnePlus) | 7.2% |\n| Honor | 5.5% |\n| Samsung | 1.4% |\n| Others | 3.8% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/0f990819110e8de7d34a7fb11b71ef8a.png", "anno": "### Units Sold By Product Category\n\n| | |\n| --- | --- |\n| Smart Phones | 15.19% |\n| Smart Watches | 8.861% |\n| Headsets | 12.658% |\n| LCD | 17.722% |\n| Laptops | 7.595% |\n| Accessories | 37.975% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/696e10b075e2b5e9e519042a49270324.png", "anno": "### Coal Producing Provinces in China (2014)\n\n| | |\n| --- | --- |\n| Inner Mongolia | 29% |\n| Shanxi | 27% |\n| Shaanxi | 15% |\n| Guizhou | 6% |\n| Shandong | 4% |\n| Xinjiang | 4% |\n| Henan | 4% |\n| Anhui | 4% |\n| Ningxia | 3% |\n| Sichuan | 2% |\n| Hebei | 2% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/52a3b071d3113fe81c128f03c65e4536.png", "anno": "### Domicile Distribution of Decentralized Finance Firms\n| Domicile | Distribution |\n| --- | --- |\n| U.S. | 41% |\n| Switzerland | 10% |\n| U.K. | 8% |\n| Singapore | 7% |\n| E.U. | 7% |\n| Cayman Islands | 6% |\n| British Virgin Islands | 4% |\n| Australia | 3% |\n| China | 3% |\n| Canada | 2% |\n| Israel | 2% |\n| Hong Kong | 0.9% |\n| Liechtenstein | 0.9% |\n| Serbia | 0.9% |\n| Panama | 0.9% |\n| Taiwan | 0.9% |\n| Brazil | 0.9% |\n| Costa Rica | 0.8% |\n| Gibraltar | 0.8% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/24cd375a5e873e112b6bcf7d202014cc.png", "anno": "| | |\n| --- | --- |\n| QINGDAO ZHONGREN ZHIYE BIOTECHNOLOGY CO., LTD. | 12% |\n| HEFEI SUNRISE PIGMENTS CO., LTD. | 9% |\n| BASF SE | 15% |\n| CANON KABUSHIKI KAISHA | 11% |\n| DIC CORPORATION | 10% |\n| MERCK PATENT GMBH | 12% |\n| Eckart GmbH | 12% |\n| CHANGSHU HUANHONG CHEMICAL PIGMENT FACTORY | 5% |\n| E. I. DU PONT DE NEMOURS AND COMPANY | 7% |\n| LANXESS DEUTSCHLAND GMBH | 7% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/c021da6cef35d1a17ca614dce92fdcdc.png", "anno": "### Indian Smartphone Market Share by Vendor, Q3 2016\n\n| | |\n| --- | --- |\n| Samsung | 23.0% |\n| Others | 45.5% |\n| Reliance Jio | 7.0% |\n| Xiaomi | 7.4% |\n| Micromax | 7.5% |\n| Lenovo Group | 9.6% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7592c5b08016fa399916ef1a72f5b9b1.png", "anno": "### Hash Rate Distribution (last 21 hours)\n\n| | | |\n| --- | --- | --- |\n| F2Pool | ~70.3 TH/s | 23.2% |\n| LitecoinPool.org | ~53.9 TH/s | 17.8% |\n| Antpool | ~50.9 TH/s | 16.8% |\n| LTC.top | ~49.7 TH/s | 16.4% |\n| ViaBTC | ~42.4 TH/s | 14% |\n| BW.com | ~9.7 TH/s | 3.2% |\n| LQoMbJnzRK... | ~7.9 TH/s | 2.6% |\n| Lhh4idZ9eF... | ~7.9 TH/s | 2.6% |\n| ProHashing | ~4.8 TH/s | 1.6% |\n| BTCChina | ~3.0 TH/s | 1% |\n| Total | ~302.9 TH/s | |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/eba396dd7f3f97b9ada5d27a25429c94.png", "anno": "### Global SVOD revenues by platform in 2029 ($ billion)\n\n| | |\n| --- | --- |\n| Others | 21.1 |\n| Other US | 24.4 |\n| China | 9.6 |\n| Apple TV+ | 2.1 |\n| Amazon | 7.4 |\n| Paramount+ | 6.8 |\n| HBO | 8.2 |\n| Disney+ | 13.6 |\n| Netflix | 33.5 |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/1e3ee77f5e40125805e74c7df1f7322c.png", "anno": "饼图1(0,0),(0,0)\n### US Steel Imports by Country\n#### YTD 2018 (June)\n#### Sourcer Census Bureau\n\n| | |\n| --- | --- |\n| Canada | 20% |\n| Brazil | 12% |\n| Mexico | 11% |\n| Korea | 10% |\n| Turkey | 4% |\n| Japan | 5% |\n| Others | 39% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/e59796f016338bc71149ae61e93aa4fe.png", "anno": "### Sample Student Retention Predictor Model Relative Strength of Model Variables\n\n| Variables | Percent |\n| --- | --- |\n| High School GPA | 16.6% |\n| Sense of Financial Security | 14.6% |\n| ACT Composite Score | 13.2% |\n| Facility Code | 14.0% |\n| Desire to Transfer | 11.3% |\n| Family Emotional Suppor | 12.0% |\n| Intended Major | 9.6% |\n| Percent of Need Met | 8.7% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/19555602a1c2eb8a0ed51f6321d3b852.png", "anno": "| | |\n| --- | --- |\n| Finisar | 14.80% |\n| Lumentum | 8.60% |\n| Broadcom/Foxconn | 7% |\n| Sumitomo | 6.30% |\n| Accelink | 5.60% |\n| Oclaro | 5.40% |\n| Acacia | 4.70% |\n| NeoPhotonics | 4.20% |\n| II-VI | 3.90% |\n| Fujisu Optical Components | 3.90% |\n| 其他 | 36% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/fc161c734fa55dc940790aba3dbd9138.png", "anno": "| | |\n| --- | --- |\n| BTC.com | 25.17% |\n| F2Pool | 12.59% |\n| SlushPool | 12.59% |\n| AntPool | 11.19% |\n| ViaBTC | 11.19% |\n| BTC.TOP% | 7.69% |\n| BTCC | 3.50% |\n| BitClub | 3.50% |\n| 58COIN | 2.10% |\n| DPOOL | 2.10% |\n| HaoPool | 2.10% |\n| KanoPool | 1.40% |\n| WAYI.CN | 1.40% |\n| BTPOOL | 0.70% |\n| BitFury | 0.70% |\n| Bitcoin.com | 0.70% |\n| CanoePool | 0.70% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/cca804885f381c1f5b80aa641f8628f0.png", "anno": "### What was the first thing that made you seriously consider going vegan? (Even if it didn't make you go vegan yet.)\n#### 12,814 responses\n| | |\n| --- | --- |\n| A feature length documentary | 21.9% |\n| A conversation with a friend or a family member | 16.8% |\n| A video on the internet (other than a feature length documentary) | 14.4% |\n| Posts on social media (short clips, articles shared, images, comments ect) | 13.2% |\n| I made the connection without any influence | 11.2% |\n| I read some articles / blogs online | 4.4% |\n| A book | 3.4% |\n| Other | 14.7% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/b5e876c6cdf642db66be4b90d1436808.png", "anno": "### C Distribution of non-actionable PGV (n = 77)\n| | |\n| --- | --- |\n| TP53 | 18,23% |\n| MUTYH | 9,12% |\n| RET | 9,12% |\n| APC | 7,9% |\n| SDHB | 6,8% |\n| RAD50 | 4,5% |\n| PTEN | 3,4% |\n| SDHD | 3,4% |\n| FH | 3,4% |\n| FANCC | 2,2% |\n| Others | 13,17% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/64988cb87d033923d309a25d71371c4b.png", "anno": "### ACL 2018 Submissions\n\n| | |\n| --- | --- |\n| Information Extraction and Text Mining | 12% |\n| Sentence-level Semantics | 6% |\n| Machine Translation | 7% |\n| Machine Learning | 7% |\n| Generation | 4% |\n| Sentiment Analysis and Argument Mining | 6% |\n| Tagging, Chunking, Syntax and Parsing | 4% |\n| Social Media | 4% |\n| Dialogue and Interactive Systems | 6% |\n| Discourse and Pragmatics | 3% |\n| Document Analysis | 7% |\n| Other | 36% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/8cb22fbfb6b3326c1a0c1701f74a8298.png", "anno": "### Shanghai No.1 TMC Member Birthday\n\n| | |\n| --- | --- |\n| Jan | 0 |\n| Feb | 0 |\n| Mar | 1 |\n| Apr | 2 |\n| May | 3 |\n| Jun | 4 |\n| Jul | 3 |\n| Aug | 5 |\n| Sep | 3 |\n| Oct | 1 |\n| Nov | 4 |\n| Dec | 3 |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/4cb158a6e165bc89c7f99218c24a2e1d.png", "anno": "### Percentage of application category (n=181)\n| | |\n| --- | --- |\n| Image production | 12.2% |\n| Info aggregation | 13.3% |\n| Bots | 29.8% |\n| Coding | 30.9% |\n| Writing | 3.3% |\n| Workflow automation | 10.5% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/7178bf27812a4b3da652be136fa88ebf.png", "anno": "### Undergraduate Major\n\n| | |\n| --- | --- |\n| Finance | 38% |\n| Accounting | 22% |\n| Business | 16% |\n| Economics | 11% |\n| Engineering | 5% |\n| Mathematics | 11% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/81040511b5c0e49252e9b1acda6e27bb.png", "anno": "| | |\n| --- | --- |\n| Electronics | 39.4% |\n| Clothes | 16.5% |\n| Beauty Makeup | 16% |\n| Food | 13.6% |\n| Household Eletric Appliance | 5.58% |\n| Furniture | 3.17% |\n| Jewellery Accessories | 2.83% |\n| Outdoor Sports | 2.15% |\n| Mother and Infant | 0.77% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/de34a59ed0b9e888436f6a8073af8446.png", "anno": "### Figure 2: Main topics of the webpages in the Design2Code benchmark.\n| | |\n| --- | --- |\n| information | 10.8% |\n| forum | 3.6% |\n| news | 4.8% |\n| homepage | 13.3% |\n| company/org | 27.7% |\n| blog | 25.3% |\n| product | 4.8% |\n| others | 9.6% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/50294c736da3871b9463216da2b445d5.png", "anno": "### What was the main reason that made you go vegan?\n#### 12,814 response\n\n| Reason | |\n| --- | --- |\n| For the animals | 68.1% |\n| Health | 17.4% |\n| For the Environment | 9.7% |\n| Other | 4.8% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/59bbaadbd23279ef9afc1c7254b76775.png", "anno": "| | |\n| --- | --- |\n| !Focus Area | 15% |\n| Game Theory and Economic Paradigms (GTEP) | 16% |\n| Human-Computation and Crowd Sourcing (HCC) | 2% |\n| Cognitive Modeling Cognitive Systems (CMS) | 4% |\n| Reasoning under Uncertainty (RU) | 4% |\n| Intelligent Robots (ROB) | 5% |\n| Constraint Satisfaction and Optimization (CSO) | 6% |\n| Search and Optimization (SO) | 6% |\n| Humans and AI (HAI) | 6% |\n| Multiagent Systems (MAS) | 7% |\n| Planning, Routing, and Scheduling (PRS) | 8% |\n| Philosophy and Ethics of AI (PEAI) | 9% |\n| Knowledge Representation and Reasoning (KRR) | 12% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/14ba297ca52509b847258d543d12988b.png", "anno": "| | |\n| --- | --- |\n| bit-x | 2.8% |\n| bitfinex | 20.3% |\n| bitflyer | 8.3% |\n| bitstamp | 6.9% |\n| btcchina | 14.2% |\n| coinbase | 5.6% |\n| gemini | 4.2% |\n| kraken | 16.5% |\n| okcoin | 15.6% |\n| others | 5.6% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/ab26b061b5206168e0e927afe810ee07.png", "anno": "### 买家地域分布\n| | |\n| --- | --- |\n| United States | 24.83% |\n| Russian Federation | 5.81% |\n| GB | 5.38% |\n| Brazil | 4.32% |\n| Australia | 4.13% |\n| Canada | 3.8% |\n| Turkey | 3.3% |\n| France | 2.69% |\n| Spain | 2.51% |\n| Others | 43.24% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/b7a5a0e2a3d52199070d5cc8a35d0c1f.png", "anno": "### Global supplement industry by country, 2023p\n\n| | |\n| --- | --- |\n| United States | 34.3% |\n| China | 14.3% |\n| Total Western Europe | 11.8% |\n| Latin America | 9.8% |\n| India | 7.4% |\n| Japan | 6.6% |\n| Eastern Europe and Russia | 5.6% |\n| Rest of Asia | 4.1% |\n| Australia and New Zealand | 1.9% |\n| Canada | 1.4% |\n| Middle East | 1.2% |\n| Africa | 1% |\n| Mexico | 700m% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/81e9812fad55a591a88c0f47e0a97393.png", "anno": "| | |\n| --- | --- |\n| ML: Transfer, Domain Adaptation, Multi-Task Learning | 7% |\n| ML: Distributed Machine Learning Federated Learning | 8% |\n| ML: Reinforcement Learning | 9% |\n| others | 33% |\n| ML: Adversarial Learning Robustness | 2% |\n| ML: Clustering | 2% |\n| ML: Representation Learning | 2% |\n| ML: Transparent, Interpretable, Explainable ML | 3% |\n| ML: Learning on the Edge Model Compression | 3% |\n| ML: Deep Generative Models Autoencoders | 3% |\n| ML: Applications | 3% |\n| ML: Life-Long and Continual Learning | 3% |\n| ML: Classification and Regression | 4% |\n| ML: Deep Learning Algorithms | 4% |\n| ML: Time-Series/Data Streams | 5% |\n| ML: Graph-based Machine Learning | 7% |", "chart_type": "饼图", "img_type": "扫描印刷", "lang_type": "英文"} +{"img_path": "images/a52fc0cc0c84eee3ac8860007eae4243.png", "anno": "### 图2 - 17 1968年美国GDP分行业增加值占比分布\n\n| 行业 | 增加值占比 |\n| --- | --- |\n| 制造业 | 25% |\n| 政府支出 | 16% |\n| 批发零售 | 14% |\n| 金融地产 | 14% |\n| 商业服务 | 5% |\n| 建筑业 | 4% |\n| 交运仓储 | 4% |\n| 信息产业 | 4% |\n| 教育医疗 | 3% |\n| 其他 | 11% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/f6ddeb7ee8e7cfbfdf465d2277b7c957.png", "anno": "### 图3-2 复利效应下各时间段盈利占比\n\n| 时间段 | |\n| --- | --- |\n| 第一个10年 | 6.0% |\n| 第二个10年 | 9.8% |\n| 第三个10年 | 15.9% |\n| 第四个10年 | 26.0% |\n| 第五个10年 | 42.3% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/bea1648c4bea4e15a39046bc9cd1974c.png", "anno": "### 一篮子物品与服务\n\n| | |\n| --- | --- |\n| 住房 | 41% |\n| 其他物品与服务 | 3% |\n| 服装 | 4% |\n| 休闲活动 | 6% |\n| 医疗 | 7% |\n| 教育和通信 | 7% |\n| 食物和饮料 | 15% |\n| 交通 | 17% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/10f94e3f5a4f0d88f2019083f209bc64.png", "anno": "| | |\n| --- | --- |\n| 北京 | 8.98% |\n| 山东 | 8.98% |\n| 广东 | 8.75% |\n| 江苏 | 8.29% |\n| 浙江 | 5.98% |\n| 上海 | 5.41% |\n| 河北 | 5.06% |\n| 河南 | 4.95% |\n| 四川 | 3.57% |\n| 湖北 | 3.22% |\n| 其他 | 36.81% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/5304cc371fab2304239bb3fe7ae430c7.png", "anno": "### 图12 中国MIM所用材料占比\n\n| 材料 | |\n| --- | --- |\n| 不锈钢 | 65% |\n| 铁基 | 20% |\n| 钨基 | 10% |\n| 钢、钛及其他 | 5% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/92875b507dc41706e46effd952e77fc4.png", "anno": "### 图 34 2017年全球前十动力电池企业市场份额（单位：GWh）\n\n| 企业 | | 市场份额 |\n| --- | --- | --- |\n| 宁德时代 | 12 | 19% |\n| 松下电器 | 10 | 16% |\n| 比亚迪 | 7.2 | 12% |\n| 沃特玛 | 5.5 | 9% |\n| LG化学 | 4.5 | 7% |\n| 国轩高科 | 3.2 | 5% |\n| 三星SDI | 2.8 | 4% |\n| 北京国能 | 1.9 | 3% |\n| 比克 | 1.6 | 3% |\n| 孚能科技 | 1.3 | 2% |\n| 其他 | 12.35 | 20% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a4269e1598ad3c4a72a778a6954167fc.png", "anno": "### 2019 年酒类销售渠道占比情况\n\n| 销售渠道 | 占比 |\n| --- | --- |\n| 电商 | 23.00% |\n| 专卖店 | 42.00% |\n| 商场 | 15.00% |\n| 超市 | 17.00% |\n| 其他 | 3.00% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/28206fed81dec0958915d992307bfc36.png", "anno": "| | |\n| --- | --- |\n| 人身保险合同纠纷 | 64.24% |\n| 财产保险合同纠纷 | 12.15% |\n| 机动车交通事故责任强制保险合同纠纷 | 0.05% |\n| 其他保险纠纷 | 23.56% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/0d449eb0a01b52596fd321bd3e29ee60.png", "anno": "### 图3-2 复利效应下各时间段盈利占比\n\n| 时间段 | |\n| --- | --- |\n| 第一个10年 | 6.0% |\n| 第二个10年 | 9.8% |\n| 第三个10年 | 15.9% |\n| 第四个10年 | 26.0% |\n| 第五个10年 | 42.3% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/37ea57a5831a44fc102005586f412a55.png", "anno": "### 图2 中国对非洲直接投资存量行业分布图（截至2009年底）\n\n| 行业 | |\n| --- | --- |\n| 采矿业 | 29.2% |\n| 制造业 | 22.0% |\n| 建筑业 | 15.8% |\n| 金融业 | 13.9% |\n| 商务服务业 | 5.4% |\n| 批发和零售业 | 4.0% |\n| 科研、技术服务和地质勘察业 | 3.2% |\n| 农林牧渔业 | 3.1% |\n| 其他 | 3.4% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/3515f0900fcf747d9204b27482fd742e.png", "anno": "### 海藻糖的应用领域占比\n\n| 应用领域 | |\n| --- | --- |\n| 日式和西式点心 | 42% |\n| 糖果 | 17% |\n| 面包 | 4% |\n| 饮料 | 7% |\n| 水产加工品 | 6% |\n| 畜产加工品 | 2% |\n| 米饭类 | 3% |\n| 面类 | 4% |\n| 其他| 15% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/25b92d9e5b924c0c7ee330e54cc2295e.png", "anno": "| | |\n| --- | --- |\n| 制造业 | 27% |\n| 政府支出 | 14% |\n| 批发零售 | 14% |\n| 金融地产 | 13% |\n| 交运仓储 | 5% |\n| 建筑业 | 4% |\n| 商业服务 | 4% |\n| 农、林、牧、渔 | 4% |\n| 信息产业 | 3% |\n| 其他 | 12% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/e7703f80cc952a854f7fc7063fd2a5be.png", "anno": "### 国内ToB企业2021年的整体营销预算\n\n| | |\n| --- | --- |\n| >500万元 | 39% |\n| 400万~500万元 | 5% |\n| 300万~400万元 | 6% |\n| 200万~300万元 | 9% |\n| 100万~200万元 | 11% |\n| <100万元| 17% |\n| 不清楚 | 13% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/4a67d3df683763e476a45d486acb67b4.png", "anno": "| | |\n| --- | --- |\n| 有色金属冶炼及压延加工业 | 46.2% |\n| 电力、热力的和生产和供应业 | 13.8% |\n| 食品制造业 | 2.1% |\n| 化学原料及化学制品制造业 | 7.5% |\n| 医药制造业 | 2.5% |\n| 非金属矿物制品业 | 2.9% |\n| 其他 | 15.3% |\n| 黑色金属冶炼及压延加工业 | 9.7% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/46fac4be3035f710fc819cebcf3b9917.png", "anno": "| | |\n| --- | --- |\n| OM（有机物） | 26% |\n| EC（元素碳） | 3% |\n| $ NH_{4}^{+} $（铵盐） | 11% |\n| $ NO_{3}^{-} $（硝酸盐） | 17% |\n| $ SO_{4}^{2-} $（硫酸盐） | 16% |\n| 地壳物质 | 12% |\n| 微量元素 | 5% |\n| 其他 | 10% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/82c8284d15b2b4b5a4fb83dba2b266c4.png", "anno": "| | |\n| --- | --- |\n| 美国股票 | 22% |\n| 私募市场 | 0% |\n| 现金等价物 | 5% |\n| 美国房地产 | 5% |\n| 高收益债券 | 1% |\n| 美元债券 | 20% |\n| 日本债券 | 8% |\n| 新兴市场债务 | 2% |\n| 所有其他债券 | 14% |\n| 新兴市场股票 | 1% |\n| 日本股票 | 5% |\n| 不包括日本股票的发达市场 | 17% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/109c1c0618ffc2de6282eaae17edae03.png", "anno": "| | |\n| --- | --- |\n| 采矿业 | 30.6% |\n| 金融业 | 19.5% |\n| 建筑业 | 16.4% |\n| 制造业 | 15.3% |\n| 租赁和商务服务业 | 5.0% |\n| 科学研究、技术服务和地质勘查业 | 4.1% |\n| 批发和零售业 | 2.7% |\n| 农、林、牧、渔业 | 2.5% |\n| 房地产业 | 1.1% |\n| 其他 | 2.8% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/81b3767ef09a00685651bece84b3564c.png", "anno": "### 图5 在线学习者群体职业分布\n\n| | |\n| --- | --- |\n| 党政机关工作人员 | 6.64% |\n| 专门职业（医生、律师、教师等） | 8.69% |\n| 公司企业工作人员 | 39.80% |\n| 个体经营者 | 7.04% |\n| 自由工作者 | 9.35% |\n| 学生 | 1.54% |\n| 下岗/待业 | 0.29% |\n| 家庭主妇 | 0.44% |\n| 其他 | 26.21% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/833be6ea432a813addb69e46aa3a72df.png", "anno": "### 图3-2 复利效应下各时间段盈利占比\n\n| 时间段 | |\n| --- | --- |\n| 第一个10年 | 6.0% |\n| 第二个10年 | 9.8% |\n| 第三个10年 | 15.9% |\n| 第四个10年 | 26.0% |\n| 第五个10年 | 42.3% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b898c9e8f261e53726ad02ed1d052686.png", "anno": "### 图3-4 英国上市公司行业板块市值分布\n\n| 行业 | | |\n| --- | --- | --- |\n| 金融 | 5554亿美元 | 20% |\n| 必需消费 | 5245亿美元 | 19% |\n| 工业 | 3173亿美元 | 11% |\n| 医疗保健 | 2901亿美元 | 10% |\n| 可选消费 | 2644亿美元 | 10% |\n| 原材料 | 2465亿美元 | 9% |\n| 能源 | 1539亿美元 | 6% |\n| 电信服务 | 1350亿美元 | 5% |\n| 信息技术 | 965亿美元 | 4% |\n| 公用事业 | 952亿美元 | 3% |\n| 房地产 | 915亿美元 | 3% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/9ed338dc073e3eea54b71749ab6ad61b.png", "anno": "### 图13 中国MIM应用领域占比\n\n| 应用领域 | 占比 |\n| --- | --- |\n| 手机 | 50% |\n| 笔记本 | 15% |\n| 汽车 | 5% |\n| 机械/五金 | 10% |\n| 医疗 | 2% |\n| 穿戴 | 10% |\n| 其他 | 8% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/4551ae86ee4b338bc8a6e29f317a35fb.png", "anno": "| | |\n| --- | --- |\n| 华东 | 45% |\n| 东北 | 18% |\n| 华北 | 21% |\n| 华南 | 10% |\n| 西北 | 5% |\n| 其他 | 1% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b26619788b05c5aca55cd99e8965a0f0.png", "anno": "### 图5\n\n| | |\n| --- | --- |\n| 外地传输 | 27.6% |\n| 餐饮 | 8.3% |\n| 燃煤 | 18.7% |\n| 扬尘 | 2.8% |\n| 机动车 | 21.5% |\n| 其他 | 21.1% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b3b71300b87ebf25061ffb1021011e7d.png", "anno": "| | |\n| --- | --- |\n| 电力 | 40% |\n| 钢铁 | 14% |\n| 水泥 | 11% |\n| 铝冶炼 | 1% |\n| 石化化工 | 5% |\n| 煤化工 | 4% |\n| 交通 | 10% |\n| 建筑 | 6% |\n| 其他 | 9% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/d2161c8199282b78e18a2fc165aa4109.png", "anno": "### 图10: 2019年IPO募资总额排名前十的证券公司市场占有率情况\n\n| 证券公司 | 市场占有率 |\n| --- | --- |\n| 中金公司 | 23.7% |\n| 中信证券 | 17.9% |\n| 中信建投 | 6.5% |\n| 招商证券 | 5.6% |\n| 广发证券 | 3.5% |\n| 国信证券 | 3.3% |\n| 国泰君安 | 2.9% |\n| 长江证券 | 2.9% |\n| 东兴证券 | 2.7% |\n| 华泰证券 | 2.7% |\n| 其他 | 28.3% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/80b1be4a55217162ef434a42dfe0402c.png", "anno": "### 图一 2017年主要轻工行业主营业务收入比重情况\n\n| 行业 | 主营业务收入比重 |\n| --- | --- |\n| 农副食品加工 | 26.6% |\n| 食品 | 9.5% |\n| 塑料制品 | 9.4% |\n| 文体及工美 | 7.0% |\n| 造纸 | 6.3% |\n| 家电 | 6.2% |\n| 皮革及羽绒 | 6.1% |\n| 金属制品 | 4.0% |\n| 酿酒 | 3.8% |\n| 家具 | 3.7% |\n| 其他行业 | 17.4% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/bd387b363e443af85827846356a30d64.png", "anno": "| | |\n| --- | --- |\n| 美国股票 | 22% |\n| 私募市场 | 0% |\n| 现金等价物 | 5% |\n| 美国房地产 | 5% |\n| 高收益债券 | 1% |\n| 美元债券 | 20% |\n| 日本债券 | 8% |\n| 新兴市场债券 | 2% |\n| 所有其他债券 | 14% |\n| 新兴市场股票 | 1% |\n| 日本股票 | 5% |\n| 不包括日本股票的发达市场 | 17% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/37d1abe27c7b7d8337db72af91dceef6.png", "anno": "### 图9:2017年全市法院各类案件收案情况\n\n| | 单位：件 |\n| --- | --- |\n| 民事 | 508442 |\n| 行政 | 33069 |\n| 国家赔偿与司法救助 | 2248 |\n| 执行 | 190956 |\n| 强制清算与破产 | 465 |\n| 其他 | 11286 |\n| 刑事 | 23351 |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/73fadd1813cb3da13efb7295f11a6545.png", "anno": "| | |\n| --- | --- |\n| 裙带菜 | 7.49% |\n| 江蓠 | 14.09% |\n| 羊栖菜 | 0.99% |\n| 紫菜 | 8.61% |\n| 麒麟菜 | 0.08% |\n| 其他 | 3.78% |\n| 海带 | 64.96% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/8e393a31006c692490220caa85950812.png", "anno": "### 图9：2017年全市法院各类案件收案情况\n#### （单位：件）\n\n| | |\n| --- | --- |\n| 民事 | 508442 |\n| 行政 | 33069 |\n| 国家赔偿与司法救助 | 2248 |\n| 执行 | 190956 |\n| 强制清算与破产 | 465 |\n| 其他 | 11286 |\n| 刑事 | 23351 |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/32447d258b107b8e0f176188e6071f1b.png", "anno": "### 图7-6 国内EB产能分布占比\n\n| | 产能分布占比 |\n| --- | --- |\n| 华东 | 45% |\n| 东北 | 18% |\n| 华北 | 21% |\n| 华南 | 10% |\n| 西北 | 5% |\n| 其他 | 1% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a141a121ae07aed023027a8937b76add.png", "anno": "### 2006年某地区全年财政收入来源统计（全年财政收入为2000万元）\n\n| | 收入来源统计 |\n| --- | --- |\n| 第一季度 | 20% |\n| 第二季度 | 22.5% |\n| 第三季度 | 27.5% |\n| 第四季度 | 30% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/49f8a7fda4e97a1b297a699cfe0d2234.png", "anno": "### 图8 - 15 2018年美国GDP分行业增加值占比分布\n\n| 行业 | 增加值占比 |\n| --- | --- |\n| 金融地产 | 21% |\n| 商业服务 | 13% |\n| 政府支出 | 12% |\n| 批发零售 | 12% |\n| 制造业 | 11% |\n| 教育医疗 | 9% |\n| 信息产业 | 5% |\n| 建筑业 | 4% |\n| 娱乐休闲 | 4% |\n| 其他 | 9% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/b7e9b33dfff1b4ff3ee1e5fed30f96af.png", "anno": "| | | |\n| --- | --- | --- |\n| 果汁 | 12.00% | n=6 |\n| 矿泉水 | 20.00% | n=10 |\n| 绿茶 | 22.00% | n=11 |\n| 其他 | 16.00% | n=8 |\n| 碳酸饮料 | 30.00% | n=15 |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/523817eefb22ac6ae8861fff3771b0bf.png", "anno": "### 图2.27 截至2018年年底PMP$ ^{®} $等认证报考累计人数排名前60企业的行业分布统计\n| | |\n| --- | --- |\n| 信息传输、软件和信息技术服务、 | 31, 49.21% |\n| 制造， | 18, 28.57% |\n| 金融， | 5, 7.94% |\n| 采矿， | 3, 4.76% |\n| 建筑， | 1, 1.59% |\n| 租赁和商务服务， | 1, 1.59% |\n| 交通运输、仓储和邮政， | 1, 1.59% |\n| 科学研究和技术服务业， | 1, 1.59% |\n| 电力、燃气及水的生产和供应， | 2, 3.17% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/fe6197774749529ad969cd1f8d5eb54b.png", "anno": "| | |\n| --- | --- |\n| 觉得自己父母唠叨的占 | 54% |\n| 能主动找老师倾诉的占 | 13% |\n| 在学习中能相互帮助共同进步的占 | 25% |\n| 其它占 | 8% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/8cd66d2d2a9bdf36fea7cfd1a096e4e0.png", "anno": "### 城乡家庭居民的消费结构图\n\n| | |\n| --- | --- |\n| 交通 | 5.6% |\n| 通讯 | 5.4% |\n| 教育 | 11.5% |\n| 文化、娱乐 旅游 | 1.9% |\n| 电费、水费 燃气 | 6.2% |\n| 家用电器、家具 | 3.5% |\n| 日用品 | 1.7% |\n| 人情往来 | 7.6% |\n| 住房 | 5.1% |\n| 食品 | 34.0% |\n| 衣着 | 5.1% |\n| 医疗 | 10.6% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/2600b276622037822a40b91d557d2f84.png", "anno": "| | |\n| --- | --- |\n| OM（有机物） | 26% |\n| EC（元素碳） | 3% |\n| $ NH_{4}^{+} $（铵盐） | 11% |\n| $ NO_{3}^{-} $（硝酸盐） | 17% |\n| $ SO_{4}^{2-} $（硫酸盐） | 16% |\n| 地壳物质 | 12% |\n| 微量元素 | 5% |\n| 其他 | 10% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/3be9191e6cbc04cbf61bfaddb0e8f257.png", "anno": "### 图1 受访市民家庭存书情况\n\n| | |\n| --- | --- |\n| 50册及以 | 40.1% |\n| 51-100册 | 25.7% |\n| 101-300册 | 21.9% |\n| 301-500册 | 6.7% |\n| 501册及以上 | 5.6% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/82d35075e60efceaded68e3076106e6e.png", "anno": "### 2015年中国电子商务市场细分行业构成\n\n| 细分行业 | |\n| --- | --- |\n| 中小企业B2B电子商务 | 44.2% |\n| 规模以上企业B2B | 27.9% |\n| 网络购物 | 23.1% |\n| 在线旅游 | 2.6% |\n| 本地生活服务O2O | 2.2% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/4af6f35689d95c94bdc5132fe1457697.png", "anno": "| | |\n| --- | --- |\n| 陶氏 | 52% |\n| 东丽 | 14% |\n| 海德能 | 11% |\n| 时代沃顿 | 8% |\n| 其他 | 15% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/11ad3a9f556d73c6c67a7f1106de70ae.png", "anno": "| | |\n| --- | --- |\n| 管理 | 15% |\n| 商业知识 | 10% |\n| 治理和组织结构 | 5% |\n| 人力资源 | 11% |\n| 财务 | 10% |\n| 医疗技术和信息管理 | 5% |\n| 质量和绩效改进 | 10% |\n| 法律和规章要求 | 8% |\n| 职业和伦理 | 8% |\n| 医疗系统 | 18% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/c57dcb8abd152021f2d79b2a77cf16bb.png", "anno": "| | |\n| --- | --- |\n| 城乡居民燃气 | 15% |\n| 工业燃料 | 11% |\n| 化工 | 42% |\n| 发电 | 13% |\n| 油气田自用 | 19% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/28131f99c063f2ff430668316ab0f2c8.png", "anno": "| | |\n| --- | --- |\n| 民用航空 | 33% |\n| 其他工业 | 16% |\n| 化工 | 14% |\n| 能源 | 9% |\n| 军工 | 8% |\n| 体育用品 | 8% |\n| PHE | 5% |\n| 脱盐工业 | 3% |\n| 装甲 | 2% |\n| 其他 | 2% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/32edb8104e8828ab6c9ec9e083db7dea.png", "anno": "### 图11 中国大陆MIM生产厂家销售额占比\n\n| 生产厂家 | |\n| --- | --- |\n| 5家知名企业 | 67% |\n| 15家中等规模企业 | 15% |\n| 120家小企业 | 18% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/5e84c85285faa92c86f205284c873d9c.png", "anno": "### 图2 受访市民家庭存书翻阅情况\n\n| | |\n| --- | --- |\n| 全部翻阅 | 40.1% |\n| 翻阅四分之三 | 20.4% |\n| 翻阅一半左右 | 22.9% |\n| 翻阅四分之一 | 7.4% |\n| 翻阅一成左右 | 3.6% |\n| 没有翻阅 | 4.3% |\n| 不知道/不清楚 | 1.3% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/8419c67b6071b39f52eb151caf250d5f.png", "anno": "| | |\n| --- | --- |\n| 速冻食品 | 10% |\n| 肉制品 | 24% |\n| 水产品 | 17% |\n| 果蔬 | 30% |\n| 乳制品 | 6% |\n| 其他 | 13% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/726c8b2f153f6887e73a8156dac5a2a1.png", "anno": "### 2012年我国对东盟出口纺织服装分布图\n\n| | |\n| --- | --- |\n| 越南 | 34.1% |\n| 马来西亚 | 16.4% |\n| 印度尼西亚 | 15.8% |\n| 菲律宾 | 10.2% |\n| 泰国 | 7.9% |\n| 新加坡 | 7.3% |\n| 柬埔寨 | 5.2% |\n| 缅甸 | 2.6% |\n| 其他 | 0.4% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a2a0a655d15341f97e24261aa5679082.png", "anno": "### 图4-44 人工加热条件下日光温室内的放热分布图（夜间）\n| | 放热分布 |\n| --- | --- |\n| 后坡 | 7% |\n| 北墙 | 45% |\n| 侧墙 | 9% |\n| 土壤 | 21% |\n| 通风换气 | 0% |\n| 人工加温 | 18% |\n| 前屋面 | 0% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/a8fc658640422058e5e60a49240814fa.png", "anno": "| | |\n| --- | --- |\n| 积极修辞和消极修辞 | 90% |\n| 比喻等八种辞格 | 7% |\n| 不知道 | 3% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "中文"} +{"img_path": "images/3ba2ea502a2fe9839f19910042bcebfe.png", "anno": "### Total School Spending 2001\n\n| | |\n| --- | --- |\n| Insurance | 8% |\n| Teachers' salaries | 45% |\n| Furniture and equipment | 23% |\n| Resources e.g. books | 9% |\n| Other workers' salaries | 15% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/6031da8e7e813c44c5c79063baf6022c.png", "anno": "| | |\n| --- | --- |\n| use the Internet | 23% |\n| read books | 20% |\n| watch TV for over 2 hours | 14% |\n| help with housework | 11% |\n| eat hamburgers | 9% |\n| drink water | 9% |\n| make resolutions | 9% |\n| stay up late | 5% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/641a72f698b0f04f7d07020627a2535b.png", "anno": "### Grafik 2-5 Die Anwendung von Plastikbeuteln beim Einkaufen\n\n| | |\n| --- | --- |\n| Ich kaufe jedesmal Plastikbeutel | 10% |\n| Ich habe immer eigene Beutel dabei | 60% |\n| Mal so, mal, so! | 30% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a6ae34cd463bcf9e12fd492ab13f69ca.png", "anno": "### Figure 2f | Share of Dealer Sales by Channel in 2016\n\n| | |\n| --- | --- |\n| Gallery | 51% |\n| Overseas art fairs | 25% |\n| Local art fairs | 16% |\n| Online (own website) | 5% |\n| Online (third-party platforms) | 3% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9b02ad53db07885932a1788a18010f66.png", "anno": "| Weight | % of $ \\mathrm{CF}_{\\mathrm{mm}} $ |\n| --- | --- |\n| <60 | 8% |\n| 60-70 | 24% |\n| 70-80 | 35% |\n| 80-90 | 26% |\n| 90-100 | 7% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/0db3158e18fc9dfdd698f1a6c8710cc4.png", "anno": "| | | | |\n| --- | ---- | --- | --- |\n| TB Class 0 | No History of Tuberculosis (TB) | 31 | 11.0% |\n| TB Class 1 | TB Exposure - No Evidence of Infection | 18 | 6.3% |\n| TB Class 2 | TB Infection - No Disease | 47 | 16.6% |\n| TB Class 3 | TB - Current Disease | 16 | 5.7% |\n| TB Class 4 | TB - No Current Disease | 171 | 60.4% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/da574f996c5f927ccbece94cb590fb07.png", "anno": "| | |\n| --- | --- |\n| Quantitative Strategy & Modeling & Research | 57% |\n| Risk Management & Portfolio Management | 22% |\n| Trading | 14% |\n| Consulting & Corporate Finance | 7% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/58560776e20eb94e97f1ed037e191203.png", "anno": "### % of British Students able to speak languages other than English, 2000\n\n| | |\n| --- | --- |\n| No other language | 20% |\n| French only | 15% |\n| German only | 10% |\n| Spanish only | 30% |\n| Another language | 15% |\n| Two other languages | 10% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/d1048cdd9269928357b0e43024aabd30.png", "anno": "### What's more important: protecting gun rights or controlling gun ownership?\n\n| | |\n| --- | --- |\n| Controlling gun ownership | 50% |\n| Protecting gun rights | 47% |\n| undecided | 3% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/8b96901c3fb88c61e606c62514864db9.png", "anno": "### The New Grading System in Our School\n\n| | |\n| --- | --- |\n| test results | 30% |\n| notes | 20% |\n| homework | 20% |\n| class performances | 20% |\n| teamwork | 10% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/cc30e4a83eb817cfa04a26ff4cdc4a26.png", "anno": "### % Drug Targets by Class\n| Class | % Drug Targets |\n| --- | --- |\n| Receptors | 45% |\n| Enzymes | 28% |\n| Hormones/Growth Factors | 11% |\n| Unknown | 7% |\n| Ion Channels | 5% |\n| Nuclear Receptors | 2% |\n| Nucleic Acids | 2% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/b0647d18455f4b42b617069815dd4ca5.png", "anno": "### Graph 3. Amy's June Expenses\n\n| | |\n| --- | --- |\n| Food | $25 |\n| Movies | $12 |\n| Clothing | $36 |\n| Savings | $20 |\n| Books | $7 |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/209f8cb63bdad34205a08c36e6334020.png", "anno": "| | |\n| --- | --- |\n| Coal | 36% |\n| Natural gas | 23% |\n| Hydropower | 16% |\n| Nuclear | 10% |\n| Renewables | 11% |\n| Oil | 3% |\n| Other | 1% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9991595c564a120825e57b248105c8dd.png", "anno": "### Has virtualization led you to reorganize IT teams?\n\n| | |\n| --- | --- |\n| Yes, we've reorganized | 13% |\n| Yes, we're in the process of reorganizing | 16% |\n| No, but we see a need to reorganize | 21% |\n| No, and we see no benefit to reorganizing | 50% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/79497815aaafa33bebbf2c3271ff3994.png", "anno": "### Australian household energy use\n| | |\n| --- | --- |\n| water heating | 30% |\n| refrigeration | 7% |\n| other appliances | 15% |\n| lighting | 4% |\n| cooling | 2% |\n| heating | 42% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/45120a220d3edbc114d15e878c3a3fbb.png", "anno": "| | |\n| --- | --- |\n| Perianal disease | 18% |\n| Both perianal and luminal disease | 25% |\n| Luminal disease | 36% |\n| Adverse event* | 3% |\n| Others** | 18% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/29d72364b4dd53cb5d5c36b8fdbcf189.png", "anno": "| | |\n| --- | --- |\n| Water heating | 14% |\n| Space Heating | 48% |\n| Lighting,Cooking & Appliances | 18% |\n| Space Cooling | 7% |\n| Refrigeration | 13% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a8cf734296d23c1a6eb6177eb6a09df9.png", "anno": "### Safety in Diversity\n#### CK Hutchison gets most of its revenue outside China\n\n| | |\n| --- | --- |\n| Europe | 50% |\n| Finance, investments, others | 21% |\n| Others | 17% |\n| Hong Kong | 7% |\n| Mainland China | 5% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/561700ccc920c83cdb5e5ddf92b16b06.png", "anno": "### Total School Spending 1981\n\n| | |\n| --- | --- |\n| Insurance | 2% |\n| Teachers' salaries | 40% |\n| Furniture and equipment | 15% |\n| Resources e.g. books | 15% |\n| Other workers' salaries | 28% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/bf7922907909e88a78d42b85f734293a.png", "anno": "### Sodium\n| | |\n| --- | --- |\n| Breakfast | 14% |\n| Lunch | 29% |\n| Dinner | 43% |\n| Snacks | 14% |\n\n### Saturated fat\n| | |\n| --- | --- |\n| Breakfast | 16% |\n| Lunch | 26% |\n| Dinner | 37% |\n| Snacks | 21% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a3e3ff8f1f0383311590b1aac2df3271.png", "anno": "### Häufigkeit der Verletzungen bei vaginalen Geburten nach Schweregraden\n#### Quelle: IQTIG 2017\n\n| | |\n| --- | --- |\n| keine Geburtsverletzungen | 40% |\n| Grad Ⅰ | 18% |\n| Grad Ⅱ | 21% |\n| Episiotomie | 19% |\n| Grad Ⅲ | 1.8% |\n| Grad Ⅳ | 0.2% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/3f92cff342be74ad0ef23f0b11eaeaa8.png", "anno": "### A Healthy Meal\n\n| Meal | |\n| --- | --- |\n| Protein | 25% |\n| Carbohydrates | 30% |\n| Vegetables | 30% |\n| Deliciousness | 15% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/87d2ed2818f2bf3c7ab55b9c878dd64b.png", "anno": "### Figure 2.1: I often feel lonely (%)\n#### The original question is: on a 1-5 scale, how much do you agree with the statement that I often fell lonely.\n\n| | |\n| --- | --- |\n| Agree | 18.7 |\n| Strongly agree | 5.5 |\n| Strongly disagree | 11.8 |\n| Disagree | 30.9 |\n| Neutral | 33.2 |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1bef962f154ec3cc8a90e729f2e3b570.png", "anno": "### Total School Spending 2001\n\n| | Spending |\n| --- | --- |\n| Insurance | 8% |\n| Teachers' salaries | 45% |\n| Furniture and equipment | 23% |\n| Resources e.g. books | 9% |\n| Other workers' salaries | 15% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/deb6c91facc3e229ebc79130ffe9daff.png", "anno": "| | |\n| --- | --- |\n| use the apps on the phone | 8% |\n| Take after-school English classes | 22% |\n| Listen to teachers in class carefully | 58% |\n| other ways to practice | 12% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9e771f1dfddbe93aeaaa8c8a8de0107b.png", "anno": "### THE MOST EFFECTIVE WAY TO EASE STRESS\n\n| | |\n| --- | --- |\n| listen to music | 40% |\n| physical exercise | 25% |\n| surf the Internet | 18% |\n| talk to friends | 12% |\n| others | 5% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/b40e45e6117b11642a7c06bbbb7b6dc6.png", "anno": "### Country C Annual Expenditure per Student £10,000\n\n| | |\n| --- | --- |\n| Accommodation| 37% |\n| Food | 25% |\n| Entertainment | 20% |\n| Books | 12% |\n| Others | 6% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/f33d9f97c6ea5a5b2c4efd731305e14a.png", "anno": "### \"How often do you use the social media platform TikTok?\"\n\n| | |\n| --- | --- |\n| Never | 31% |\n| Very frequently | 30% |\n| Frequently | 19% |\n| Infrequently | 7% |\n| Very infrequently | 6% |\n| Neither infrequently or frequently | 7% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9ad5f9b19f57d4fe3d4319ae891225eb.png", "anno": "### Migraine Headaches - 10 Year Survey - Total Pts Treated: 1606\n\n| | |\n| --- | --- |\n| V-15 | 1071 | 67% |\n| V-25 | 187 | 12% |\n| V-50 | 143 | 9% |\n| V>50 | 197 | 12% |\n| N1 | 8 | 0% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/110e0d30c9050a473047ca893c6c2c13.png", "anno": "### Household energy use in Australia\n#### $ ^{\\ast} $clothes and dishwashers, entertainment and small appliances e.g. toaster, hairdryer, iron\n\n| | |\n| --- | --- |\n| HEATING & COOLING | 38% |\n| WATER HEATING | 25% |\n| FRIDGES & FREEZERS | 7% |\n| LIGHTING | 7% |\n| COOKING | 4% |\n| STANDBY POWER | 3% |\n| OTHER APPLIANCES$ ^{\\ast} $ | 16% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/af845640ae5bf05a3c7ecde0415abd73.png", "anno": "饼图1(0,0),(0,0)\n### 1999 HEALTH CARE EXPENDITURES (to the nearest whole percent)\n#### Total S550 billion\n| | |\n| --- | --- |\n| Hospital Care | 40% |\n| Physician Services | 20% |\n| Program Administration and Insurance Costs | 5% |\n| Nursing Care | 8% |\n| Dental Services | 7% |\n| Drug and Medical Expenses | 7% |\n| | 13% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/7ac9323a92d46ffa73697260e5e9bbc7.png", "anno": "### Australian household energy use\n\n| Energy | |\n| --- | --- |\n| water heating | 30% |\n| refrigeration | 7% |\n| other appliances | 15% |\n| lighting | 4% |\n| cooling | 2% |\n| heating | 42% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/2cef7d7f70640d0c9211f419526112c8.png", "anno": "### Technological Edge\n#### U.S. firms lead Russia's market for advanced methods of raising field productivity\n#### Source: Vygon Consulting, data for 2020\n\n| | |\n| --- | --- |\n| Russian firms | 48% |\n| Baker Hughes | 16% |\n| Schlumberger | 14% |\n| Halliburton | 13% |\n| Weatherford | 9% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/db85d757d1c4bfc95bb125f9cedbf99a.png", "anno": "### 1981\n\n| | |\n| --- | --- |\n| teachers' salary | 40% |\n| other staff's salary | 33% |\n| resources (eg. Books) | 10% |\n| insurance | 2% |\n| furniture & equipment | 15% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/0c29770a64be888d7259edd2887aa2bd.png", "anno": "### Factors that influence students' choices (2002)\n\n| | |\n| --- | --- |\n| Location (close to parental home) | 16% |\n| Suitable courses & degrees | 34% |\n| Reputation of the institution | 25% |\n| Admission criteria | 2% |\n| Costs | 5% |\n| Amenities, social activities & sports facilities | 18% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ca07a58ce902b84578bbacbd75300ea5.png", "anno": "| | |\n| --- | --- |\n| Steamer | 40% |\n| Electric | 38% |\n| Gasoline | 22% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/26a28675471e508dda61857fbc25c022.png", "anno": "### Source of European Natural Gas\n\n| | |\n| --- | --- |\n| Russia | 39% |\n| Norway | 27% |\n| LNG | 12% |\n| Netherlands | 10% |\n| Others | 12% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a23f7d85efcc0c4386b2b8f2eb8f58c1.png", "anno": "### 8. Number/article Types of Articles Published in 2017\n#### In 2017, QIMS has published 80 articles, among which there are 57 Original Articles and Review Articles. Other article types include Research Highlights and Technology Assessment, etc.\n\n| Number/article Type | |\n| --- | --- |\n| Letter to the Editor | 25.00% |\n| Others | 6.25% |\n| Case Report | 3.75% |\n| Brief Report | 6.25% |\n| Review Article | 18.75% |\n| Original Article | 40.00% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/633e69a64f6055bd2f48260909733dd7.png", "anno": "### International visitors to New Zealand: country of origin\n| | |\n| --- | --- |\n| Australia | 40% |\n| United Kingdom | 12% |\n| United States | 9% |\n| China | 5% |\n| Japan | 4% |\n| South Korea | 3% |\n| other | 27% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/ee6df20994ebce1aab140fec35d882de.png", "anno": "### Capital Structure (Fig.6.)\n#### Survey evidence on whether firms have optimal or target debt-equity ratios.\n\n| | |\n| --- | --- |\n| No target ratio or range | 19% |\n| Somewhat tight target/range | 34% |\n| Very strict target | 10% |\n| Flexible target | 37% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/313877b601e6b696d3db56e7e384a712.png", "anno": "### Individuals with hypertension 43 million\n#### Individuals with blood pressure>140/90 mmHg 31 million\n\n| | | |\n| --- | --- | --- |\n| Treated & well controlled | 27% | 12 million |\n| Treated & poorly controlled | 29% | 12.5 million |\n| Untreated & aware | 11% | 4.5 million |\n| Untreated & unaware | 33% | 14 million |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/70ef7edfac4ab948140dbe20301e3816.png", "anno": "### Are you more mindful of health protection for yourself and your family this winter?\n| | |\n| --- | --- |\n| Pay extra attention | 71.4% |\n| Pay attention occasionally | 25.2% |\n| Not much attention | 3.4% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/aa56a9ae0873525dbd7adc5081a98210.png", "anno": "### LV Dysfunction in the Community How Much Does it Contribute to SCD?\n#### n=121\n\n| | |\n| --- | --- |\n| Normal (EF ≥ 0.55) | 48% |\n| Mild - moderately reduced (EF 0.36 - 0.54) | 22% |\n| Severely reduced (EF ≤ 0.35) | 30% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/9662cc0aa8865d640592a6a4dde1c1de.png", "anno": "### PROFESSIONAL WORK EXPERIENCE\n#### Years of Professional Experience\n\n| | |\n| --- | --- |\n| 0-2 Years | 21% |\n| 2-4 Years | 22% |\n| 4-6 Years | 27% |\n| 6-8 Years | 6% |\n| 8-10 Years | 5% |\n| 10+ Years | 19% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a42cdec58787ef347a6e68de7e5fd245.png", "anno": "### Youngest dependent child 0-2 years\n| | |\n| --- | --- |\n| Working full-time | 11% |\n| Not working | 70% |\n| Working part-time | 19% |\n\n### Youngest dependent child 5-9 years\n| | |\n| --- | --- |\n| Working full-time | 14% |\n| Not working | 38% |\n| Working part-time | 48% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/cb102b579c91a5246d63e3f30b35af07.png", "anno": "| | |\n| --- | --- |\n| Efficient Power Conversion | 14% |\n| NXP | 19% |\n| GaN Systems | 9% |\n| Texas Instruments | 12% |\n| Infineon | 8% |\n| Fujitsu | 9% |\n| Transphor m | 10% |\n| 其他 | 19% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/21b10e7651a7d22df3ab07890a055923.png", "anno": "### THE MOST EFFECTIVE WAY TO EASE STRESS\n\n| | |\n| --- | --- |\n| listen to music | 40% |\n| physical exercise | 25% |\n| surf the Internet | 18% |\n| talk to friends | 12% |\n| others | 5% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/d367828ec9b40414fd2a6765257dfbdf.png", "anno": "| | |\n| --- | --- |\n| Program Development | 15% |\n| Internal | 10% |\n| | 5% |\n| Manufacturing & Fulfillment | 15% |\n| G&A | 20% |\n| Profit | 15% |\n| Marketing | 35% |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/1040d308110345a993e265e0305e505a.png", "anno": "### Figure 2.1: I often feel lonely (%)\n#### The original questionis: on a 1-5 scale, how much do you agree with the statement that I often feel lonely.\n| | |\n| --- | --- |\n| Agree | 18.7 |\n| Strongly agree | 5.5 |\n| Strongly disagree | 11.8 |\n| Disagree | 30.9 |\n| Neutral | 33.2 |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/d2a2c29ed5763afa26e861ca42c6892b.png", "anno": "| | |\n| --- | --- |\n| Hotels,Gasthöfe,Pensionen | 59 |\n| Ferienunterkünfte u.ä. Beherbergungsstätten | 19 |\n| Campingplätze | 14 |\n| Sonstige tourismus-relevante Unterkünfte | 4 |", "chart_type": "饼图", "img_type": "随拍印刷", "lang_type": "英文"} +{"img_path": "images/a0630299fae1076c1cc7cf6fc691b054.png", "anno": "### 春节家庭消费统计图\n| | |\n| --- | --- |\n| 零食 | 10.8% |\n| 生活用品 | 5% |\n| 水果 | 8.1% |\n| 交通 | 14.3% |\n| 干果 | 7.9% |\n| 服装 | 53.9% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b37f441142560185b751b3350f524741.png", "anno": "| | | |\n| --- | --- | --- |\n| 水果 | 200元 | 10% |\n| 蔬菜 | 200元 | 10% |\n| 糖果 | 60元 | 3% |\n| 肉 | 500元 | 25% |\n| 装饰品 | 40元 | 2% |\n| 衣服 | 1000元 | 50% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b668e51acb00698589732df1275bc1b4.png", "anno": "### 养猫年度开支明细\n\n| 开支明细 | |\n| --- | --- |\n| 猫粮 | 22% |\n| 猫砂 | 8% |\n| 疫苗体检 | 6% |\n| 看病医疗 | 12% |\n| 零食 | 5% |\n| 玩具 | 4% |\n| 猫窝 | 3% |\n| 保险 | 2% |\n| 寄养 | 5% |\n| 洗护 | 3% |\n| 智能设备 | 4% |\n| 意外损失 | 6% |\n| 囤货备用金 | 20% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/271c3df72cf14599fe3a632712599079.png", "anno": "| | |\n| --- | --- |\n| 乒乓球 | 30% |\n| 其他 | 22.5% |\n| 足球 | 20% |\n| 跳绳 | 12.5% |\n| 踢毽子 | 15% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/34fffc3f3fd5966ea51a089ea1e0ebcf.png", "anno": "饼图1(0,0),(0,0)\n\n| | |\n| --- | --- |\n| 旅游 | 50% |\n| 其它 | 5% |\n| 学习 | 15% |\n| 服装 | 20% |\n| 食品 | 10% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/8665972f7c9f3914ebfa3b0f93686a74.png", "anno": "### 大众传统文化认知来源\n| | |\n| --- | --- |\n| 学校教育 | 20% |\n| 短视频平台 | 15% |\n| 电视节目 | 12% |\n| 社交媒体 | 8% |\n| 家庭传承 | 10% |\n| 书籍阅读 | 6% |\n| 博物馆 | 7% |\n| 旅游体验 | 6% |\n| 传统节日活动 | 5% |\n| 记录片 | 4% |\n| 游戏 | 3% |\n| 非遗 | 2% |\n| 其他 | 2% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/3dbf39274905b57a29a82f13dd0f9020.png", "anno": "| | |\n| --- | --- |\n| 礼品 | 30% |\n| 年夜饭 | 35% |\n| 零食 | 22% |\n| 烟花 | 9% |\n| 装饰品 | 4% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a4461c988f96462f96ea44df7ef861a6.png", "anno": "### 黄渤骞\n\n| | |\n| --- | --- |\n| 乒乓球 | 30% |\n| 足球 | 20% |\n| 跳绳 | 12.5% |\n| 踢毽子 | 15% |\n| 其他 | 22.5% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/59d7bdfbe6f71a0680c7d11759479053.png", "anno": "| | |\n| --- | --- |\n| 象棋 | 30% |\n| 航模 | 10% |\n| 舞蹈 | 5% |\n| 唱歌 | 35% |\n| 美术 | 20% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/9d42c61a74a10f136fc226015d982bdc.png", "anno": "### 全球十大污染事件分类饼状图\n| | |\n| --- | --- |\n| 食物污染 | 10% |\n| 核污染 | 10% |\n| 大气污染 | 50% |\n| 水污染 | 30% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/4c0d5e689ec3a348821ca00f9c14361c.png", "anno": "| | |\n| --- | --- |\n| 学习 | 35% |\n| 吃饭 | 10% |\n| 睡觉 | 37.5% |\n| 其它 | 8% |\n| 娱乐 | 4.5% |\n| 锻炼 | 5% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/78b4202c94ce66b9f92587d8dc6faa3c.png", "anno": "| | |\n| --- | --- |\n| 厨余垃圾 | 46.7% |\n| 有害垃圾 | 6.6% |\n| 可回收垃圾 | 26.7% |\n| 其他垃圾 | 20% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/f7c740436b3c30aee98cf8ceb32d78b2.png", "anno": "饼图1(0,0),(0,0)\n\n| | |\n| --- | --- |\n| 谷物 | 30% |\n| 水果 | 20% |\n| 坚果 | 15% |\n| 牛奶 | 5% |\n| 肉类 | 10% |\n| 菜类 | 20% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c01d5fc7686b71faa4c87870881bfea0.png", "anno": "| | |\n| --- | --- |\n| 太阳能发电 | 2.2% |\n| 火力发电 | 73.0% |\n| 水力发电 | 12.5% |\n| 风力发电 | 7.3% |\n| 核能发电 | 5.0% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/5d8ed18a28f4c1728607c8420ade4ca6.png", "anno": "### 12月6日作息时间安排扇形图\n\n| | |\n| --- | --- |\n| 上课外班 | 16.7% |\n| 写作业 | 8.3% |\n| 看电视 | 4.2% |\n| 做手工 | 8.3% |\n| 看书 | 10.4% |\n| 睡觉 | 41.7% |\n| 吃饭 | 10.4% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/73a2bd4df65bc9bde04686273f976f94.png", "anno": "### 你在家对垃圾进行分类吗？\n\n| | |\n| --- | --- |\n| A. 按可回收垃圾、不可回收垃圾、其他垃圾进行科学分类 | 8% |\n| B. 按家庭习惯将厨房垃圾、浴室垃圾进行简单分类 | 23% |\n| C. 完全没有进行分类 | 69% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/55647bd03225aac31324c0e466af1550.png", "anno": "### 家庭十二月份的支出占比（不含水电、燃气费）\n| | |\n| --- | --- |\n| 零食、饮料 | 约14% |\n| 用饭食品 | 约33% |\n| 学具 | 约4% |\n| 生活用品 | 约20% |\n| 课外读物 | 约26% |\n| 其它 | 约3% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a28d1b94adeaeefb2e309188fe3424c7.png", "anno": "### 全国疫情扇形统计表\n| | |\n| --- | --- |\n| 湖北 | 60% |\n| 浙江 | 6% |\n| 广东 | 4% |\n| 河南 | 4% |\n| 湖南 | 3% |\n| 江西 | 2% |\n| 安徽 | 2% |\n| 重庆 | 2% |\n| 山东 | 2% |\n| 其他 | 15% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/4306eb7322a40779007c31288b7ffc22.png", "anno": "| | 占比-百分比 |\n| --- | --- |\n| 蔬菜 | 12.5% |\n| 鸡蛋 | 3.8% |\n| 调料 | 3.1% |\n| 熟食 | 4.4% |\n| 猪肉 | 30.6% |\n| 鸡肉 | 14.4% |\n| 羊肉 | 24.4% |\n| 虾 | 6.9% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/db3cfe043e0ddc6d75d7f9bbe0df2b48.png", "anno": "| | |\n| --- | --- |\n| 礼品 | 20% |\n| 娱乐 | 10% |\n| 衣服 | 25% |\n| 交通 | 10% |\n| 其他 | 15% |\n| 食品 | 20% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/0064cfb2853cb22b7511a302ad0e48c6.png", "anno": "### 压岁钱使用分配统计图\n| | |\n| --- | --- |\n| 交下学期的中餐费 | 900 |\n| 参加乒乓球兴趣班 | 800 |\n| 买乐高机器人 | 500 |\n| 买保险 | 1700 |\n| 给武汉捐款 | 200 |\n| 去银行开户存起来 | 2500 |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/bbbd74a8c656d0971ad4744fcc7528dc.png", "anno": "### 减少浪费粮食统计图\n\n| | |\n| --- | --- |\n| 浪费可耻，可以做出相应的惩罚 | 12.97% |\n| 应该根据自己的饭量选择食物量，可以量大限度地减少浪费 | 72.57% |\n| 应该增强自我节约粮食意识 | 69.73% |\n| 学校应该加大宣传光盘行动力度，让同学们明白粮食来之不易 | 48.78% |\n| 提高食堂厨师的烹饪技术 | 47.70% |\n| 合理安排饭量 | 45.21% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/9e6da6f0e9eeaa1443a2515feb0145c4.png", "anno": "### 84消毒液成分统计图\n\n| | |\n| --- | --- |\n| 漂白粉 | 12.5% |\n| 氯化钙 | 25% |\n| 次氯酸钙 | 62.5% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/2b7ea3be5f9f38fa9e83a9661cec1725.png", "anno": "### 教师工作压力来源分布\n\n| 压力来源 | 分布 |\n| --- | --- |\n| 非教学事务 | 18% |\n| 学生成绩压力 | 15% |\n| 班级管理 | 17% |\n| 家长沟通 | 10% |\n| 课时负担 | 7% |\n| 职称评审 | 6% |\n| 工资待遇 | 5% |\n| 学生安全责任 | 4% |\n| 同事关系 | 2% |\n| 健康问题 | 3% |\n| 行政压力 | 4% |\n| 家庭平衡 | 5% |\n| 职业倦怠 | 4% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c17b186850dfdcbe0a62e2d6daef1403.png", "anno": "### 您认为以下哪种方法有助于让春节的气氛更浓（共57份）\n\n| | |\n| --- | --- |\n| 保留传统习俗，如挂灯笼，贴对联 | 65% |\n| 适当借鉴“洋节”的优秀之处 | 6% |\n| 各地举办庙会、吴龙舞狮等大型传统庆祝 | 29% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/201ac77a056f0f5cd83c3994793f9806.png", "anno": "### 2019春节支收扇形统计图\n| | |\n| --- | --- |\n| 旅游 | 25% |\n| 其它 | 15% |\n| 压岁钱 | 35% |\n| 衣服 | 15% |\n| 食品 | 10% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a0b9d03813bb2c0f6bf441fd13a09ac4.png", "anno": "| | |\n| --- | --- |\n| 抗磷脂综合征 | 15%-20% |\n| 内分泌疾病 | 15%-20% |\n| 不明原因 | 50% |\n| 染色体问题 | 2%-5% |\n| 子宫问题 | 10%-15% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/867f95e394560d5cd3f28fcf00b1d328.png", "anno": "### 零花钱收支占比图\n| | |\n| --- | --- |\n| 兴趣班 | 69.26% |\n| 书籍 | 7.42% |\n| 玩具 | 3.9% |\n| 剩余 | 2.19% |\n| 剩余 | 0.93% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/a0b9cae48a38a3b51ea692c3a70f7238.png", "anno": "### 当代年轻人年度情绪状态分布\n| 情绪状态 | |\n| --- | --- |\n| 焦虑 | 14% |\n| 疲备 | 12% |\n| 平静 | 10% |\n| 快乐 | 9% |\n| 麻木 | 8% |\n| 低落 | 7.5% |\n| 烦燥 | 7% |\n| 迷茫 | 6.5% |\n| 愤怒 | 5% |\n| 期待 | 5% |\n| 孤独 | 4% |\n| 成就感 | 4% |\n| 幸福感 | 4% |\n| 恐惧 | 4% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/94c249febe38ba3b4c2e0ef79a59983c.png", "anno": "| | % |\n| --- | --- |\n| 操作系统 | 8.0% |\n| 微信 | 12% |\n| 原神 | 6.5% |\n| 吃鸡 | 5.0% |\n| 短视频 | 4.0% |\n| 社交App | 3.5% |\n| 视频缓存 | 6.0% |\n| 音乐缓存 | 2.5% |\n| 照片 | 7.5% |\n| 文件 | 10% |\n| 办公 | 8% |\n| 其他 | 12% |\n| 系统预留 | 5% |\n| 应用缓存 | 7% |\n| 修图 | 3% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/fc385a9bffeacdb81344a63d41c6ce05.png", "anno": "### 寒假作息时间统计图：\n| | |\n| --- | --- |\n| 学习 | 35% |\n| 吃饭 | 10% |\n| 睡觉 | 37.5% |\n| 其它 | 8% |\n| 娱乐 | 4.5% |\n| 锻炼 | 5% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/d94b089bf3e1d99be4b809eb4ba52e0c.png", "anno": "### 每天锻炼一小时各项目锻炼时间统计图\n\n| 项目 | |\n| --- | --- |\n| 跑步 | 36% |\n| 跳绳 | 25% |\n| 仰卧起坐 | 5% |\n| 羽毛球 | 10% |\n| 乒乓球 | 14% |\n| 篮球 | 10% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/11ebdbb0cd11b4e3b38b485c87a2a416.png", "anno": "### 压岁钱使用计划统计图\n\n| | |\n| --- | --- |\n| 学习 | 35% |\n| 食品 | 15% |\n| 娱乐 | 10% |\n| 银行 | 30% |\n| 其它 | 10% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/abd2bc3c5c617738e50426ed1ed62556.png", "anno": "### GDP 构成\n\n| | |\n| --- | --- |\n| 居住消费 | 9% |\n| 食品消费 | 8% |\n| 交通通信消费 | 5% |\n| 教育文娱 | 4% |\n| 医疗保健 | 3% |\n| 其他商品服务 | 5% |\n| 政府消费 | 14% |\n| 住宅投资 | 10% |\n| 非住宅建筑 | 6% |\n| 机械设备投资 | 8% |\n| 基础设施投资 | 7% |\n| 知识产权投资 | 3% |\n| 存货投资 | 1% |\n| 货物净出口 | 12% |\n| 服务净出口 | 5% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/12f292468d267fcdb53ddca6c81c7f85.png", "anno": "饼图1(0,0),(0,0)\n\n### 我家2018年过年年夜饭统计图。\n| | |\n| --- | --- |\n| 其它 | 10% |\n| 肉类 | 20% |\n| 蔬菜水果 | 30% |\n| 零食 | 5% |\n| 主食 | 35% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/e7e636a32a050a67f79ad3b8e7440d32.png", "anno": "### 我的压岁钱——我的压岁钱的安排我做主！\n\n| | |\n| --- | --- |\n| 存起来 | 36% |\n| 课外读物 | 18% |\n| 文具 | 9% |\n| 食品 | 8% |\n| 给长辈买礼物 | 14% |\n| 衣服 | 15% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/b35f4dac48d8b0687fa4b0581b8a25a3.png", "anno": "### 门診人次各科构成百分比\n#### 1978年度\n| | |\n| --- | --- |\n| 内科 | 30.2% |\n| 五官科 | 20.9% |\n| 外科 | 17.2% |\n| 中医科 | 9.2% |\n| 新医科 | 7.8% |\n| 妇产科 | 6.9% |\n| 儿科 | 6.8% |\n| 腸道 | 1.0% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/1caf6c5bbb6f94e86f37c960f7fa2692.png", "anno": "| | |\n| --- | --- |\n| 食品 | 30% |\n| 还购房贷款 | 30% |\n| 教育 | 15% |\n| 服装 | 10% |\n| 水电 | 5% |\n| 其他 | 10% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/34605bd09938812cab7c32a3e42ff06e.png", "anno": "### 小明家的存储物资\n\n| | |\n| --- | --- |\n| 速食食品类 | 20% |\n| 零食类 | 6% |\n| 其他 | 19% |\n| 水果类 | 25% |\n| 蔬菜类 | 30% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/89ed42840c552e1e0e710e674dc34bac.png", "anno": "### 三年级下学期期末语数成绩统计图\n\n| 成绩 | 统计 |\n| --- | --- |\n| 60-74 | 27% |\n| 60分以下 | 16% |\n| 85-100 | 27% |\n| 74-84 | 30% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/9a5987ed73963d33e291096d0d8e659f.png", "anno": "### 某超市第三季度饮品选购情况扇形统计图\n\n| 饮品 | 进购情况 |\n| --- | --- |\n| 可乐 | 20% |\n| 牛奶 | 40% |\n| 矿泉水 | 10% |\n| 橙汁 | 30% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/7b9e0a03d9ea151522a925f456b145de.png", "anno": "| | |\n| --- | --- |\n| 福建 | 4.9% |\n| 四川 | 2.4% |\n| 上海 | 2.5% |\n| 山东 | 2.4% |\n| 浙江 | 2.3% |\n| 云南 | 1.9% |\n| 河南 | 1.9% |\n| 湖南 | 1.8% |\n| 其他5.34%（其他包括天津1.3%，内蒙古0.9%，陕西0.6%，河北0.6%，黑龙江0.5%，山西0.4%，江苏0.3%，贵州0.3%，青海0.1%，吉林0.1%，辽宁0.2%，安徽0.04%.） | 1.8% |\n| 广东 | 44.4% |\n| 北京 | 19.9% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/fdced1b562995d33a854a9d69d93cd56.png", "anno": "### 2019天猫底妆细分品类销售占比\n| 品类 | 占比 |\n| --- | --- |\n| CC霜 | 4% |\n| 隔离 | 21% |\n| 散粉 | 11% |\n| BB霜 | 27% |\n| 粉底液 | 25% |\n| 其他 | 12% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/f9e3d8a0516c370f8aad56213560df9e.png", "anno": "### 2019春节支收扇形统计图\n| | |\n| --- | --- |\n| 旅游 | 25% |\n| 其它 | 15% |\n| 压岁钱 | 35% |\n| 衣服 | 15% |\n| 食品 | 10% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/cd0f87cf38fb80cbe68fd734caa7dc02.png", "anno": "### 六七班同学兴趣爱好人数情况\n\n| 兴趣 | |\n| --- | --- |\n| 围棋 | 5% |\n| 篮球 | 20% |\n| 足球 | 10% |\n| 美术 | 15% |\n| 科学 | 50% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/78ed66970f8aa0823a53563cfb95df6c.png", "anno": "| | | |\n| --- | --- | --- |\n| 其他用品服务 | 163元 | 2.5% |\n| 食品烟酒 | 2084元 | 32.6% |\n| 衣着 | 453元 | 7.1% |\n| 居住 | 1435元 | 22.5% |\n| 生活用品服务 | 356元 | 5.6% |\n| 交通通信 | 791元 | 12.4% |\n| 教育文化娱乐 | 583元 | 9.1% |\n| 医疗保健 | 528元 | 8.3% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c4d11c7fa3e3066fa2ed01810eb86597.png", "anno": "### 马拉松跑者年度训练与比赛投入\n\n| 训练与比赛 | 投入 |\n| --- | --- |\n| 轻松跑 | 18% |\n| 拉练 | 12% |\n| 闪歇跑 | 6% |\n| 节奏跑 | 5% |\n| 爬坡 | 4% |\n| 力量训练 | 8% |\n| 热身 | 3% |\n| 冷身 | 4% |\n| 正式比赛 | 3% |\n| 赛前 | 2.5% |\n| 装备 | 2.5% |\n| 营养 | 2% |\n| 伤病恢复 | 4% |\n| 睡眠恢复 | 10% |\n| 数据 | 3% |\n| 社交 | 3% |\n| 训练通勤 | 8% |\n| 天气 | 2% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/c670d6cfb8650872af6b52c430b3020d.png", "anno": "饼图1(0,0),(0,0)\n### 收入与支出的理想比例\n\n| | |\n| --- | --- |\n| 消费 | 60% |\n| 投资 | 20% |\n| 储蓄 | 10% |\n| 浪费 | 10% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/cef777eacfe5b46640f55fd06854ab5f.png", "anno": "### 年货统计图\n\n| | |\n| --- | --- |\n| 食物 | 50% |\n| 年货 | 30% |\n| 衣服 | 20% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/2c1c93e2c1024cbe411ae0d00235e19f.png", "anno": "### 每天锻炼一小时的各个项目锻炼时间扇形统计图.\n| 项目 | 锻炼时间 |\n| --- | --- |\n| 仰卧起坐 | 13% |\n| 跳绳 | 5% |\n| 跑步 | 25% |\n| 羽毛球 | 57% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "中文"} +{"img_path": "images/1fb3c1a7d0884f9376dc268d47670fc7.png", "anno": "### User composition analysis\n\n| | |\n| --- | --- |\n| Active | 35% |\n| Lost of users | 40% |\n| New users | 25% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9ab8bbe3ef8804cfde432b0892c6d250.png", "anno": "| | |\n| --- | --- |\n| pie | 25% |\n| pudding | 10% |\n| apple | 12% |\n| doughnut | 12% |\n| fruit jelly | 4% |\n| ice-cream | 35% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b5537d738c167d2b03c71ce6f6e54fad.png", "anno": "### Yang Ling's diet\n\n| | |\n| --- | --- |\n| eggs | 5% |\n| noodles rice | 30% |\n| meat | 20% |\n| vegetables fruit | 25% |\n| sweet cake | 15% |\n| water milk | 5% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/0218aa935e39fae03c227604f01a6b08.png", "anno": "### Set Ⅰ\n#### Total：7000\n\n| | |\n| --- | --- |\n| A | 40% |\n| D | 15% |\n| C | 25% |\n| B | 20% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9d6dc84f8a06ea6d96100712250914a7.png", "anno": "| | |\n| --- | --- |\n| Housing | 20% |\n| Other | 5% |\n| Telephone | 20% |\n| Care | 10% |\n| Clothing | 15% |\n| Food | 30% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/8c9a308f8838eccdfda30e9a44188ca2.png", "anno": "| | |\n| --- | --- |\n| Live TV | 47% |\n| On demand(点播) | 4% |\n| DVR(record and watch later) | 23% |\n| Online streaming (Netflix, Hulu Plus, etc.) | 17% |\n| Other | 9% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/bb253eba1cd579a7ba16e02b8b2b4796.png", "anno": "| | |\n| --- | --- |\n| Timely source | 21.9% |\n| Timely target | 40.6% |\n| Timely head | 21.9% |\n| sync reward | 3.1% |\n| Proposer | 12.5% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/0ad53b83db1ff0bcff01a27d745fc8a0.png", "anno": "### Sales Revenue Composition Chart for 2014\n\n| | | |\n| --- | --- | --- |\n| January | 55.00 | 8% |\n| February | 68.00 | 10% |\n| March | 70.00 | 11% |\n| April | 38.00 | 6% |\n| May | 75.00 | 12% |\n| June | 65.00 | 10% |\n| July | 27.00 | 4% |\n| August | 53.00 | 8% |\n| September | 24.00 | 4% |\n| October | 40.0 | 6% |\n| November | 63.0 | 10% |\n| December | 75.0 | 11% |\n\n| | | |\n| --- | --- | --- |\n| In the first quarter | 193 | 30% |\n| Second quarter | 178 | 27% |\n| Quarter | 104 | 16% |\n| In the fourth quarter | 178 | 27% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/65eeee7134afe744cba8b62e1e3b07bb.png", "anno": "| | |\n| --- | --- |\n| The remaining | 5% |\n| Market research | 35% |\n| Product | 28% |\n| development | 28% |\n| User operation | 20% |\n| Technical support | 12% |\n| Technical | 12% |\n| research | 35% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/2e2ee12b38ba9702b1274033ebc18602.png", "anno": "饼图1(0,0),(0,0)\n\n| | |\n| --- | --- |\n| self-study | 38.78% |\n| Attendance in class | 6.12% |\n| All of them | 55.1% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/38cc3cf3c47ca4e055cc6f5c73ce3df6.png", "anno": "| | |\n| --- | --- |\n| aggrieved | 20% |\n| lonely helpless | 20% |\n| unreconciled | 20% |\n| sadness gloomy | 40% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6d00fcf74732fd5c8ede280e16d5eb1b.png", "anno": "### healthy diet\n\n| | |\n| --- | --- |\n| sweet cake | 5% |\n| eggs | 10% |\n| meat fish | 20% |\n| rice bread | 30% |\n| vegetables fruit | 25% |\n| water milk | 10% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6b4dbba8ed392bf3af88b3425b17b6eb.png", "anno": "### A schedule for the allocation of time for the day\n| | |\n| --- | --- |\n| study | 33.3% |\n| read books | 25% |\n| Having a meal | 12.5% |\n| Sleeping | 29.2% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f8c0a3444361d8b9cff56361374bc61d.png", "anno": "### 1988\n\n| | |\n| --- | --- |\n| Bath | 22% |\n| Toilet | 18% |\n| Washing Clothes | 25% |\n| Kitchen | 15% |\n| Gardening | 20% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/5a4277961c66c0405c8ce5eca5386c27.png", "anno": "饼图1(0,0),(0,0)\n| | |\n| --- | --- |\n| Lily | 6% |\n| Sunflower | 10% |\n| Lavender | 10% |\n| Rose | 74% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b763509ca1185359404f2e30935012bf.png", "anno": "| | |\n| --- | --- |\n| Personal interest | 14% |\n| business travel | 18% |\n| Holiday travel | 45% |\n| Meeting people | 13% |\n| Communication with oversea clients | 10% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/9a61572c4202476bb67cb5651ee6ba5b.png", "anno": "| | |\n| --- | --- |\n| Tulip | 22% |\n| Poppy | 15% |\n| Gardenia | 35% |\n| Lris | 12% |\n| Peony | 16% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/bd685717710b994a740bf115fba4ebce.png", "anno": "### July Electricty Usage For The Smythe Household\n\n| | |\n| --- | --- |\n| Air Conditioner | 53% |\n| Large Appliance | 18% |\n| Light/Small Appliances | 9% |\n| Water Heater | 20% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a4cff13dba4704faddd3ad1043928ef2.png", "anno": "饼图1(0,0),(0,0)\n\n| | |\n| --- | --- |\n| Product Type | 20% |\n| People Type | 8% |\n| The user group accounts | 28% |\n| The remaining | 25% |\n| Market share | 35% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6e29825537ba9e3d28dfbb5aa38e9305.png", "anno": "饼图1(0,0),(0,0)\n### Revenue contribution of the 8 major courses\n#### Unit: Ten thousand yuan, the data is simulated.\n\n| | |\n| --- | --- |\n| Python | 24% |\n| Excel | 17% |\n| PPT | 11% |\n| Paper layout | 10% |\n| Business Chart | 1% |\n| Data Analysis | 4% |\n| R language | 8% |\n| SPSS Statistics | 25% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b8ae5ac2a61fd91efbbabfdf91724a77.png", "anno": "### WHAT'S IN OUR SUCITCASE?\n\n| | |\n| --- | --- |\n| Clean clothes?? | 25% |\n| Dress we have never worn but thought we'd try on this trip (nope) | 18% |\n| Crumpled baggie containing half-empty travel shampoo | 16% |\n| Book we haven't even opened | 16% |\n| Dirty clothes?? | 25% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/e171d3c43de7c1d4ed27da8b43517b42.png", "anno": "| | |\n| --- | --- |\n| mobile phone cards | 20% |\n| books or entertainments | 30% |\n| Savings | 20% |\n| Snacks | 20% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b15b211a7b8b971523d0749745dbe38d.png", "anno": "### Sales by Product\n#### Total=$75.2M\n\n| | |\n| --- | --- |\n| Product A | 25% |\n| Product B | 22% |\n| Product C | 20% |\n| Product D | 17% |\n| Product E | 17% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a04c1433a12023f53e7cd9410cf07535.png", "anno": "### 1966\n\n| | |\n| --- | --- |\n| Food | 44% |\n| Cars | 44% |\n| Petro | 9% |\n| Restaurants | 7% |\n| Furniture | 10% |\n| Computers | 1% |\n| Books | 6% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/171f968aef21d394f38a7f8dd282c83c.png", "anno": "| | |\n| --- | --- |\n| Products A | 50% |\n| Products C | 30% |\n| Products D | 15% |\n| Products B | 5% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/09df2eafc3a9c1a3ed5cb7f8555fdce9.png", "anno": "| | |\n| --- | --- |\n| Electronic Products | 25% |\n| Household items | 8% |\n| clothing | 5% |\n| food | 2% |\n| Makeup | 10% |\n| Digital | 19% |\n| Maternal and infant | 22% |\n| books | 6% |\n| sports | 3% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f9b52b7fdc6d2154ff1becb08dc3a535.png", "anno": "### Marketshare\n| | Marketshare |\n| --- | --- |\n| Fedex | 19% |\n| Other | 3% |\n| USPS | 32% |\n| UPS | 24% |\n| Amazon Logistics | 22% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/5e653f308464d52f3e4bd96523080e3b.png", "anno": "### WHY ARE WE CREEPIN'？\n\n| | |\n| --- | --- |\n| It's only 'cause we need some affection | 80% |\n| He doesn't know what we do | 20% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b1aad05d82089418bbb86788dcde9ab8.png", "anno": "### South American Population by Country\n| Country | |\n| --- | --- |\n| Others | 5% |\n| Chile | 4% |\n| Peru | 4% |\n| Brazil | 8% |\n| Ecuador | 8% |\n| Argentina | 10% |\n| Colombia | 12% |\n| Venezuela | 49% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/2a13a6b6c0087e6c5ab742c7ed1c999d.png", "anno": "| | |\n| --- | --- |\n| CFCs | 17% |\n| Other industries activities | 3% |\n| Agricultural work | 14% |\n| Changes in land use | 9% |\n| Energy Production and consumption | 57% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a9b73e6d6e384aae7d6fb7293740c824.png", "anno": "| | |\n| --- | --- |\n| Self-study | 38.78% |\n| Attendance in class | 6.12% |\n| All of them | 55.1% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/2cf339790635307bd2941b82f58ad99e.png", "anno": "| | |\n| --- | --- |\n| Group B | 21% |\n| Group A | 25% |\n| Group C | 19% |\n| Group E | 17% |\n| Group D | 18% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/27b8fc8ed19a7c33e0f6f81b4ffd2db0.png", "anno": "| | |\n| --- | --- |\n| Product Type | 20% |\n| People Type | 8% |\n| The user group·accounts | 28% |\n| The remaining | 25% |\n| Market share | 35% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b48d19d135c4a32a4cedf480910915ae.png", "anno": "### Daily food sales chart of the cafeteria of a certain university\n\n| | |\n| --- | --- |\n| Hot Pot | 18% |\n| Chicken and pigeon soup | 17.5% |\n| Beef Noodles | 15% |\n| Hamburg | 13.5% |\n| Chicken Skewer Salad | 16.5% |\n| Rapeseed | 19.5% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/d3e891a0f12caed8c13feff0b7b87d28.png", "anno": "| | |\n| --- | --- |\n| Animals | 48% |\n| Fungus | 2% |\n| Bacteria | 16% |\n| Plants | 34% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/73e45de64e207af291a9fecaedbda7f9.png", "anno": "| | |\n| --- | --- |\n| Reading books | 45% |\n| Exercise | 30% |\n| Watching TV | 15% |\n| Others | 10% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/bddca161154d2e73d67bf58f7cce9aee.png", "anno": "### Fruit Distribution\n\n| | |\n| --- | --- |\n| Grapes | 21% |\n| Bananas | 20% |\n| Oranges | 20% |\n| Pineapple | 5% |\n| Apples | 30% |\n| Lemon | 4% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/516cd0b2098de4129d54a4e007d9ed00.png", "anno": "| | |\n| --- | --- |\n| Listening to music | 25% |\n| Reading books | 35% |\n| Doing sports | 30% |\n| others | 10% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/6efd4262a2bd89fd43103c3017423415.png", "anno": "### Mike's diet\n\n| | |\n| --- | --- |\n| sweet cake | 20% |\n| rice bread | 40% |\n| eggs | 5% |\n| fish meat | 30% |\n| water milk | 5% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a042f744b22d1e349e5cf935a8dd53ba.png", "anno": "### The students' Favorite Books\n\n| | |\n| --- | --- |\n| novels | 39% |\n| science fictions | 27% |\n| biographies | 23% |\n| others | 11% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f39f89e04879345a306e721b5ef115da.png", "anno": "### Sales share of various fruits in the third quarter of 2018\n\n| | |\n| --- | --- |\n| Apples | 29% |\n| Bananas | 7% |\n| Grapes | 13% |\n| Oranges | 15% |\n| Pomegranate | 36% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/69a8fdcc7b9b06ae2f41c7360b8cc672.png", "anno": "### 2008\n\n| | |\n| --- | --- |\n| Gardening | 7% |\n| Bath | 28% |\n| Toilet | 14% |\n| Washing Clothes | 22% |\n| Kitchen | 29% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/a8b5f909e190627d12ade8767db3214f.png", "anno": "### WHAT ARE WE DOING ON THIS AIRPLANE?\n\n| | |\n| --- | --- |\n| Crying at a Pixar movie | 20% |\n| Wondering when the weed gummy will kick in | 20% |\n| Wondering whether the business traveler farted or if the plane just smells like that | 15% |\n| Armrest war with business traveler in the next seat over | 15% |\n| Trying to open third bag of pretzels in least noisy/humiliating way possible | 30% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/60e3508f6ac7822d28d3088c7b8108eb.png", "anno": "### Market share distribution\n\n| | |\n| --- | --- |\n| Electronics products | 20% |\n| Household items | 22% |\n| Clothing | 16% |\n| Foodstuff | 22% |\n| Others | 20% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/b01fa7a03282798d130cab725c407723.png", "anno": "### Percentage of mother-baby families' average monthly childcare expenses as a percentage of monthly income in 2020\n\n| | |\n| --- | --- |\n| Middle-income family | 34% |\n| High-income family | 22% |\n| Low-income family | 44% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/098d56a5af363f2564d638f26c57920e.png", "anno": "| | |\n| --- | --- |\n| securities trading | 13% |\n| Depository | 13% |\n| consulting revenue | 13% |\n| Trust business revenue Entry | 10% |\n| Lease | 10% |\n| real estate development | 9% |\n| commission | 8% |\n| Interest | 7% |\n| Foreign exchange trading | 6% |\n| financial institution | 5% |\n| Guaranteed | 5% |\n| Gold and silver trading | 2% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/8fc354533f54308c0ee5c8289822d1ee.png", "anno": "| | |\n| --- | --- |\n| Shoes | 63% |\n| Hats | 18% |\n| Gloves | 10% |\n| Boots | 9% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/f890748a15b3ee5335400bcc4011e6fa.png", "anno": "### 3D PIE OPINIONS\n\n| | |\n| --- | --- |\n| Cherry | 37.08% |\n| Blueberry | 12.60% |\n| Vanilla Cream | 7.75% |\n| Other | 2.48% |\n| Boston Cream | 10.23% |\n| Apple | 29.86% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/e3c8467543723a1d372886a3b91f5808.png", "anno": "### Primary Occupation of Public Transportation Passengers in Us Cities\n\n| | |\n| --- | --- |\n| unemployed | 6.4% |\n| student | 10.7% |\n| homemaker | 2.0% |\n| retired | 6.7% |\n| other | 2.2% |\n| employed outside the home | 72% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} +{"img_path": "images/02af119f4d6f243f688020f75d639d19.png", "anno": "### The Color Wheel Of American Spending\n#### Avg annual expenditures(out of $51,442):2012\n| | | |\n| --- | --- | --- |\n| Housing | $16887 | 33% |\n| Transport | $8998 | 17% |\n| Food | $6599 | 13% |\n| Insurance | $5591 | 11% |\n| Health Care | $3556 | 7% |\n| Entertainment | $2605 | 5% |\n| Clothes | $1736 | 3% |\n| Other | $5470 | 11% |", "chart_type": "饼图", "img_type": "随拍手绘", "lang_type": "英文"} diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..c61b66391a3c1545c8c274bc6d7d764bafb84993 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + +TERMS 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + +Copyright [yyyy] [name of copyright owner] + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. diff --git a/README.md b/README.md index 154df8298fab5ecf322016157858e08cd1bccbe1..a76910f28db7c636e9c76b2b0692249d1b9d19f8 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,111 @@ --- license: apache-2.0 --- + +# ChartArena + +**A Comprehensive Bilingual Benchmark for General Chart Parsing across Families, Scenarios, and Formats** + +

+ Github Repo • + Paper +

+ +## Overview + +**ChartArena** is a bilingual benchmark for evaluating the **chart parsing** capabilities of vision-language models. It covers the full difficulty spectrum of real-world charts, spanning eight chart families across three visual scenarios and two languages. + +## Contents + +- [Statistics](#statistics) +- [Dataset Structure](#dataset-structure) +- [Data Format](#data-format) +- [Usage](#usage) +- [Citation](#citation) +- [License](#license) + +## Statistics + +| Item | Details | +| ---------------- | --------------------------------------------------------------------- | +| Chart Families | 8 (bar, line, pie, radar, box plot, combination, flowchart, mind map) | +| Visual Scenarios | 3 (digital, printed, hand-drawn) | +| Languages | 2 (Chinese, English) | + +### Chart Families + +| Family | Bar | Line | Pie | Radar | Box Plot | Combination | Flowchart | Mind Map | +| -------- | ------- | ------- | ------- | ------- | -------- | ----------- | ------------ | ------------ | +| Category | Numeric | Numeric | Numeric | Numeric | Numeric | Numeric | Diagrammatic | Diagrammatic | + +### Visual Scenarios + +| Scenario | Description | +| ----------------- | ------------------------------------------ | +| Digital Rendering | Charts rendered directly as digital images | +| Printed Photo | Photos of printed charts | +| Hand-drawn Photo | Photos of hand-drawn charts | + +### Languages + +Bilingual: **Chinese (ZH)** and **English (EN)** + +## Dataset Structure + +``` +data/ +├── ChartArena.jsonl # annotations for all samples +└── images/ +``` + +## Data Format + +Each line of `ChartArena.jsonl` is a JSON object: + +```json +{ + "img_path": "images/xxx.png", + "chart_type": "柱状图", + "img_type": "电子印刷", + "lang_type": "中文", + "anno": "..." +} +``` + +| Field | Type | Description | +| ------------ | ------ | ------------------------------------------------------------------------------------------------ | +| `img_path` | string | Relative path from `data/`; also serves as the unique sample key | +| `chart_type` | string | Chart family in Chinese (e.g. `柱状图` = bar, `流程图` = flowchart) | +| `img_type` | string | Visual scenario in Chinese (`电子印刷` = digital, `印刷照片` = printed, `手绘照片` = hand-drawn) | +| `lang_type` | string | Language of chart content (`中文` = Chinese, `英文` = English) | +| `anno` | string | Ground-truth annotation | + +## Usage + +Please refer to the [Github repository](https://github.com/pspdada/ChartArena) for inference and evaluation scripts. + +```bash +# Quick start +git clone https://github.com/pspdada/ChartArena +cd ChartArena +pip install -r requirements.txt + +# Run inference +python infer.py --api_type openai_compat --model_name --base_url + +# Score +python judge.py + +# Generate analysis report +python analyze.py +``` + +## Citation + +```bibtex +% (coming soon) +``` + +## License + +This dataset is released for **research purposes only**. diff --git a/images/00071c7ee4c728c5db75c4f7420f3456.png b/images/00071c7ee4c728c5db75c4f7420f3456.png new file mode 100644 index 0000000000000000000000000000000000000000..4cad286f39a33116b37713d03a8e36a81dab9fc4 --- 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