|  | UKB Normative | UKB | PMBB |
| --- | --- | --- | --- |
| Thoracic aorta allometric volume | 0.614 | 0.522 | 0.410 |
| Arch unfolding | -0.088 | -0.072 | -0.056 |
| Arch width | 0.301 | 0.298 | 0.295 |
| Thoracic aorta height | 0.404 | 0.365 | 0.305 |
| Thoracic aorta tortuosity | 0.103 | 0.128 | 0.247 |
| Descending aorta tortuosity | 0.210 | 0.175 | 0.213 |
| Ascending aorta tortuosity | -0.013 | 0.025 | 0.176 |
| Thoracic aorta diameter | 0.439 | 0.340 | 0.384 |
| Descending aorta diameter | 0.412 | 0.337 | 0.376 |
| Upper thoracic aorta diameter | 0.378 | 0.301 | 0.352 |
| Ascending aorta diameter | 0.308 | 0.206 | 0.300 |
| Thoracic aorta curvature | -0.343 | -0.340 | 0.218 |
| Descending aorta curvature | -0.316 | -0.310 | -0.204 |
| Upper thoracic aorta curvature | -0.341 | -0.338 | -0.234 |
| Ascending aorta curvature | -0.341 | -0.338 | -0.216 |
| Thoracic aorta allometric length | 0.447 | 0.440 | 0.253 |
| Descending aorta allometric length | 0.268 | 0.268 | 0.075 |
| Upper thoracic aorta allometric length | 0.458 | 0.450 | 0.393 |
| Ascending aorta allometric length | 0.390 | 0.390 | 0.367 |
| Thoracic aorta length | 0.378 | 0.378 | 0.230 |
| Descending aorta length | 0.221 | 0.221 | 0.065 |
| Upper thoracic aorta length | 0.426 | 0.404 | 0.367 |
| Ascending aorta length | 0.426 | 0.409 | 0.350 |
| Thoracic aorta volume | 0.485 | 0.403 | 0.345 |


|  |  |
| --- | --- |
| easy to read | 3.4 |
| easy to find what I need | 3.3 |
| organization of information | 3.6 |
| font and font size | 3.9 |
| length | 3.4 |
| relevance to your specialty or area of expertise | 3.3 |
| understandable | 3.5 |
| timeliness | 3.4 |
| helpful | 3.7 |
| amount of background information | 3.2 |


### Comparative Profiles -- Italian Sausage

|  | Pork-based | Vegetable-based |
| --- | --- | --- |
| Color | 7 | 9 |
| Spice Inclusions | 10 | 4 |
| Interior Cooked Color | 10 | 4 |
| Exterior Cooked Color | 9 | 4 |
| Char Marks | 10 | 7 |
| Oregano | 7 | 9 |
| Pop of Casing | 7 | 5 |
| Texture of Grind | 7 | 9 |
| Fennel | 5 | 9 |
| Roast Pork Flavor | 3 | 4 |
| Basil | 9 | 5 |


### Budget vs spending

|  | Allocated Budget | Actual Spending |
| --- | --- | --- |
| Sales | 1.8 | 2 |
| Marketing | 0.9 | 1.6 |
| Development | 2.3 | 1.6 |
| Customer Support | 1.5 | 1.3 |
| Information Technology | 0.8 | 1.2 |
| Administration | 0.3 | 0.6 |


### Technical Average: 6.6

|  |  |
| --- | --- |
| Teuhooue| 6.5 |
| Finalization | 6.8 |
| Dribbling | 6.2 |
| Playing Under Pressure | 6.5 |
| Using Both Feet | 6.8 |
| Long Throws | 6.4 |
| Ball Conduction| 6.5 |
| Ball Control | 6.6 |
| Long Shots | 7 |
| Key Passes | 6.2 |
| Oriented Ball Control | 6.5 |
| Cold Blood | 7.2 |


|  |  |  |
| --- | --- | --- |
| Institutions | 4.3 | 3.8 |
| Infrastructure | 4.7 | 3.5 |
| Macroeconomic environment | 6.4 | 4.8 |
| Health and primary education | 6.1 | 5.6 |
| Higher education and training | 4.5 | 3.9 |
| Goods market efficiency | 4.4 | 4.3 |
| Labor market efficiency | 4.6 | 4.2 |
| Financial market development | 4.4 | 4.0 |
| Technological readiness | 3.6 | 3.2 |
| Market size | 6.9 | 4.2 |
| Business sophistication | 4.4 | 3.9 |
| Innovation | 4.0 | 3.2 |


### Budget vs spending
|  | Allocated Budget | Actual Spending |
| --- | --- | --- |
| Sales | 1.8 | 2.1 |
| Marketing | 0.7 | 1.6 |
| Development | 2.5 | 1.7 |
| Customer Support | 1.5 | 1.3 |
| Information Technology | 0.7 | 1.2 |
| Administration | 0.5 | 0.6 |


|  | FSL | MoCo-v3 | OPERA |
| --- | --- | --- | --- |
| ImageNet End-to-end Finetuning DeiT-B | 81.8 | 83.0 | 83.5 |
| ImageNet End-to-end Finetuning DeiT-S | 79.8 | 80.0 | 80.4 |
| ImageNet Linear Classification DeiT-S | 0 | 71.2 | 73.7 |
| ImageNet Linear Classification ResNet-50 | 0 | 70.5 | 74.8 |
| COCO Object Detection ResNet-50 | 39.2 | 40.3 | 41.5 |
| ADE20K Semantic Segmentation DeiT-B | 45.4 | 46.1 | 46.6 |
| ADE20K Semantic Segmentation DeiT-S | 42.9 | 42.3 | 43.8 |
| ADE20K Semantic Segmentation ResNet-50 | 36.1 | 37.0 | 38.4 |
| CIFAR-100 Transfer Learning DeiT-B | 86.9 | 86.6 | 89.0 |
| CIFAR-100 Transfer Learning ResNet-50 | 85.5 | 86.0 | 86.8 |


### Spending in the Company X

|  | Alocated budget | Actual spending |
| --- | --- | --- |
| Sales | 18 | 20 |
| Development | 13 | 16 |
| Marketing | 17 | 12 |
| Customer Support | 15 | 18 |
| Administration | 6 | 12 |
| Information technology | 13 | 19 |


|  | My First dataset | My Second dataset |
| --- | --- | --- |
| Eating | 65 | 28 |
| Running | 40 | 100 |
| Cycling | 55 | 27 |
| Coding | 56 | 96 |
| Designing | 81 | 19 |
| Sleeping | 90 | 40 |
| Drinking | 59 | 48 |


### # 58 - Shanghai - China
|  |  |
| --- | --- |
| Economy | 70 |
| Human Capital | 38 |
| International Projection | 60 |
| Mobility and Transportation | 82 |
| Environment | 32 |
| Tecnology | 60 |
| Urban Planning | 52 |
| Governance | 37 |
| Social Cohesion | 81 |


|  | Sweden | High-income group average |
| --- | --- | --- |
| 1. Political and regulatory environment | 5.6 | 4.8 |
| 2. Business and innovation environment | 5.2 | 5.0 |
| 3. Infrastructure | 7.0 | 5.9 |
| 4. Affordability | 6.2 | 5.7 |
| 5. Skills | 6.0 | 5.9 |
| 6. Individual usage | 6.9 | 5.9 |
| 7. Business usage | 6.1 | 4.7 |
| 8. Government usage | 5.2 | 4.8 |
| 9. Economic impacts | 6.2 | 4.4 |
| 10. Social impacts | 5.6 | 5.1 |


|  |  |
| --- | --- |
| A 保持微笑 | 8分 |
| B 早起早睡 | 3分 |
| C 言行一致 | 8分 |
| D 专注自己的领域 | 5分 |
| E 锻炼身体 | 5分 |
| F 真诚 | 8分 |
| G 宽容 | 8分 |
| H 写日记 | 3分 |


<pFig>雷达图1</pFig><quad>(0,0),(0,0)</quad>
### Customized Radar Chart

|  | Data C | Data A |
| --- | --- | --- |
| Indicator1 | 90 | 69 |
| Indicator2 | 69 | 50 |
| Indicator3 | 33 | 70 |
| Indicator4 | 50 | 33 |
| Indicator5 | 70 | 92 |
| Indicator6 | 88 | 52 |


<pFig>雷达图1</pFig><quad>(0,0),(0,0)</quad>
### Beijing Environmental Investment 8-Dimension Radar Chart

|  |  |
| --- | --- |
| Air | 94 |
| Water | 88 |
| Soil | 70 |
| Waste | 72 |
| Ecology | 86 |
| Carbon | 79 |
| Living | 71 |
| Monitor | 60 |


### Yongzhou Team 6-Dimension Radar Chart

|  |  |
|---|---|
| Solvency | 60 |
| Efficiency | 70 |
| Growth & Sustainability | 43 |
| Cash Flow | 75 |
| Brand Value | 89 |
| Revenue | 82 |


### Seven Metrics Chart of Ma Chao
|  |  |
| --- | --- |
| Damage | 91 |
| Durability | 53 |
| CC | 50 |
| Mobility | 97 |
| Teamfight | 83 |
| Split Push | 90 |
| Diffculty | 94 |


### Radar Chart Data for Precipitation (Score:0-5)

|  | Cheng De | Yi Yang |
| --- | --- | --- |
| Annual Precipitation | 0.7 | 1.3 |
| Precipitation Uniformity | 1.4 | 2.8 |
| Rainy Season Intensity | 0.5 | 2.5 |
| Rainstorm Frequency | 1.7 | 1.5 |
| Snowfall | 3.5 | 1.2 |
| Proportion of Precipitation Days | 0.7 | 2.0 |
| Drought Frequency | 1.3 | 4.0 |
| Seasonal Variability | 1.6 | 2.0 |


<pFig>雷达图1</pFig><quad>(0,0),(0,0)</quad>
### Six Metrics Chart of Mordekaiser

|  |  |
| --- | --- |
| Damage | 90 |
| Durability | 84 |
| CC | 70 |
| Mobility | 47 |
| Teamfight | 89 |
| Late-game | 85 |


### Standard Translation: National Comprehensive Strength
#### Five-Dimersional Metrics Chart

|  | USA | China |
| --- | --- | --- |
| Economic Strength | 96 | 79 |
| Military Power | 96 | 79 |
| Technological Power | 96 | 83 |
| Cultural Soft Power | 92 | 75 |
| Global Influence | 92 | 83 |


### Changsha Investment Table

|  |  |
| --- | --- |
| Furong | 74 |
| Tianxin | 70 |
| Yuelu | 50 |
| Kaifu | 65 |
| Yuhua | 70 |
| Wangcheng | 70 |
| Changsha County | 56 |
| Liuyang | 72 |
| Ningxiang | 48 |
| Xiangjiang New Area | 60 |
| Changsha High-tech Industrial Development Zone | 32 |
| Ningxiang Economic and Technological | 44 |
| Liuyang Economic and Technological | 54 |
| Wangcheng Economic and Technological | 28 |
| Changsha Economic and Technological | 64 |
| Changsha Airport Economic Demonstration Zone | 51 |


### AoE Ⅱ - Six Stats Radar Graph

|  |  |
| --- | --- |
| Economy | 90 |
| Military | 75 |
| Defense | 85 |
| Mobility | 60 |
| Tech | 68 |
| Power Spike | 88 |


### Sales of each district in Shenzhen for the whole year

| District | the first half of the year | the second half of the year |
| --- | --- | --- |
| Futian | 5.5 | 8.4 |
| Luohu | 5.6 | 10 |
| Nanshan | 5.8 | 8.7 |
| Bao'an | 3.2 | 6.6 |
| Longgang | 6.6 | 9.7 |
| Yantian | 6.7 | 6.6 |
| Longhua | 4.8 | 10.5 |
| Pingshan | 8.6 | 7.7 |
| Guangming | 4 | 7.5 |


### This Semester's Score Sheet
|  |  |
| --- | --- |
| Chinese | 47 |
| Math | 16 |
| English | 18 |
| Physics | 48 |
| Chemistry | 75 |
| Biology | 46 |
| History | 48 |
| Geography | 22 |
| Politics | 45 |


### Late Ming Military Radar Chart
|  |  |
| --- | --- |
| Field Combat | 50 |
| Mobility | 43.5 |
| Individual Armament | 82 |
| Discipline | 48 |
| Logistics | 35 |


<pFig>雷达图1</pFig><quad>(0,0),(0,0)</quad>
### LPL Investment 5-Dimension Radar Chart
|  |  |
| --- | --- |
| Competitive Strength | 90 |
| Revenue Monetization | 87 |
| Cost Health | 65 |
| Brand Traffic | 98 |
| Long-term Value | 75 |


### Corporate Financial Statement Radar Chart

|  | Want Want | Master Kong |
| --- | --- | --- |
| Pro Stability | 90 | 75 |
| Solvency | 87 | 64 |
| Efficiency | 73 | 77 |
| Growth | 62 | 57 |
| CashFlow | 93 | 85 |
| Valuation | 73 | 69 |


<pFig>雷达图1</pFig><quad>(0,0),(0,0)</quad>
### LPL Investment 8-Dimension Radar Chart

|  |  |
| --- | --- |
| Competitive Performance | 90 |
| Revenue Capacity | 85 |
| Cost Control | 60 |
| Commercial Monetization | 85 |
| Brand Influence | 95 |
| Youth Academy System | 70 |
| Ecosystem Synergy | 86 |
| Long-term Sustainability | 75 |


<pFig>雷达图1</pFig><quad>(0,0),(0,0)</quad>
### Montana-class Battle ship Performance Radar Chart
|  |  |
| --- | --- |
| HP | 95 |
| Armor | 92 |
| Main Battery | 99 |
| Secondary | 98 |
| Reload | 88 |
| Speed | 75 |
| Maneuver | 70 |
| Concealment | 65 |


### Romance of the Three Kingdoms - Lü Bu 6-Stats Radar Chart
|  |  |
| --- | --- |
| Strength | 100 |
| Intelligence | 26 |
| Politics | 20 |
| Charm | 40 |
| Fortune | 95 |
| Leadership | 90 |


<pFig>雷达图1</pFig><quad>(0,0),(0,0)</quad>

### Seven Metrics Chart of Mai Xiao wen
| Metrics |  |
| --- | --- |
| Recon | 97 |
| Survival | 75 |
| Mobility | 96 |
| Control | 82 |
| Disruption | 95 |
| Burst | 71 |
| Teamplay | 94 |


### CFA Financial 5-Dimension Radar Chart

|  | Revenue | Solvency | Expense Structure | Growth&Sustainability | Effciency compliance |
| --- | --- | --- | --- | --- | --- |
|  | 40 | 35 | 45 | 25 | 40 |


### Civ 6 - Zhu Di 8-Stats Radar Chart

|  |  |
| --- | --- |
| Early game | 87.5 |
| Late Scaling | 81 |
| Expansion | 94 |
| Economy | 95 |
| Science | 81 |
| Military | 79 |
| Defense | 98 |
| Ease Of Play | 97 |


### Score Sheet for Top Students
|  | student 1 | student 2 |
| --- | --- | --- |
| Chinese | 95 | 90 |
| Math | 86 | 100 |
| English | 97 | 93 |
| Physics | 96 | 100 |
| Chemistry | 95 | 99 |
| Biology | 77 | 100 |
| History | 88 | 97 |
| Politics | 95 | 100 |


### Housing Price Comprehensive Chart

|  | Changsha | Wuhan |
| --- | --- | --- |
| Average New House Price | 54 | 34 |
| Average Second-hand House Price | 49 | 27 |
| House Price Growth Rate | 80 | 42 |
| Regional Housing Price Difference | 100 | 51 |
| House Price-to-Income Ratio | 60 | 50 |
| School District Housing Premium Rate | 80 | 61 |
| Supporting Facilities Premium | 40 | 34 |
| Policy Impact Degree | 53 | 29 |
| Long-term Preservation Rate | 32 | 47 |


<pFig>雷达图1</pFig><quad>(0,0),(0,0)</quad>
### Forbidden City Tourism Investment 6-Dimension Radar Chart

|  | Investment |
| --- | --- |
| Flow | 94 |
| Revenue | 68 |
| Asset | 100 |
| Operation | 63 |
| Brand | 98 |
| Sustainability | 85 |


|  |  |
| --- | --- |
| Report and Complaint | 70 |
| Report and Complaint | 75 |
| Report and Complaint | 83 |
| Report and Complaint | 65 |
| Report and Complaint | 43 |


|  |  |
| --- | --- |
| Advanced Mathematics | 79 |
| Data Visualization | 98 |
| Data Structure | 80 |
| Physical Education (PE) | 86 |
| C Programming Language | 75 |
| Computer Organization | 87 |
| Software Engineering | 45 |
| English | 84 |


|  |  |
| --- | --- |
| Linear Algebra | 68 |
| Structural Mechanics | 90 |
| College English | 83 |
| Advanced Mathematics | 78 |
| English Computer Lab | 88 |
| Algorithm Design & Analysis | 73 |
| Computer Organization | 68 |
| College Physics I | 72 |


<pFig>雷达图1</pFig><quad>(0,0),(0,0)</quad>
### Changsha Housing Market 7-Dimension Radar Chart (2026)

|  |  |
| --- | --- |
| Price Level | 30 |
| Affordability | 95 |
| Stability | 90 |
| Segmentation | 55 |
| Supply-Demand | 80 |
| Policy | 96 |
| Potential | 79 |


<pFig>雷达图1</pFig><quad>(0,0),(0,0)</quad>
### Six Metrics Chart of the As Val

|  |  |
| --- | --- |
| Damage | 94 |
| Range | 45 |
| Accuracy | 70 |
| Recoil | 58 |
| Rate of Fire | 99 |
| Handling | 74 |


<pFig>雷达图1</pFig><quad>(0,0),(0,0)</quad>
### China-US Economic Comparison

|  | China | US |
| --- | --- | --- |
| Aggregate Scale | 94 | 98 |
| Growth Momentum | 82 | 80 |
| Industrial Quality | 90 | 97 |
| Open Vitality | 80 | 89 |
| People's Livelihood | 78 | 72 |


### Vehicle Comparison
#### —— Passat
|  |  |
| --- | --- |
| comfort | 85 |
| Handling | 89 |
| Safety | 69 |
| Performance | 90 |
| Fuel Consumption | 72 |


### Phoenix - Five Stats Radar Chart

|  | Burst | Survival | Control | Mobility | Teamplay |
| --- | --- | --- | --- | --- | --- |
|  | 92 | 80 | 78 | 70 | 63 |


### Military Budget Radar Chart

|  | US | CN |
| --- | --- | --- |
| Budget Scale | 99 | 87 |
| GDP Ratio | 75 | 64 |
| Per Capita | 99 | 53 |
| Procurement | 97 | 90 |
| R&D Innovation | 95 | 82 |
| Global Projection | 98 | 69 |


### Eight Metrics of Macedon

|  |  |
| --- | --- |
| Infantry | 90 |
| Cavalry | 95 |
| Missile | 55 |
| Navy | 50 |
| Economy | 88 |
| Technology | 75 |
| Defense | 82 |
| Late-Game | 62 |


### Monthly capital investment
#### Unit : ten thousand

| Month | Monthly Capital Investment-ten thousand |
| --- | --- |
| Dec | 35 |
| Jan | 80 |
| Feb | 24 |
| Mar | 38 |
| Apr | 33 |
| May | 40 |
| Jun | 60 |
| Jul | 27 |
| Aug | 25 |
| Sep | 13 |
| Oct | 24 |
| Nov | 25 |


### Faker(T1) 2025 Worlds 10-Dimension Radur Chart

|  |  |
| --- | --- |
| Competitive | 94 |
| Damage | 97 |
| Teamfight | 85 |
| Vision | 81 |
| Clutch | 94 |
| Pool | 88 |
| Resource | 78 |
| Leader ship | 85 |
| Stabitity | 87 |
| Impact | 97 |


### Academic Year Score Sheet
|  | Math | Chinese | English | Physics | Chemistry | Biology | History | Geography |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
|  | 58 | 80 | 65 | 99 | 100 | 62 | 85 | 80 |


### 前十名股东持股比例（%）

| 股东 | 持股比例(%) |
| --- | --- |
| 卢国建 | 28.01% |
| 深圳市海联智合咨询顾问合伙企业 | 16.54% |
| 深圳市远致创业投资有限公司 | 2.76% |
| 苏州方广二期创业投资合伙企业 | 2.72% |
| 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% |
| 西藏津盛泰达创业投资有限公司 | 2.00% |
| 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% |
| 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% |
| 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% |
| 彬元资本有限公司-美世投资基金1 | 0.98% |
| 其他 | 39.95% |


### 图1: 公司2021年营收构成
|  |  |
| --- | --- |
| 智能变配电系统 | 37% |
| 智能中压供用电设备 | 19% |
| 智能电表 | 21% |
| EMS加工服务及其他 | 5% |
| 电动汽车智能充换电系统 | 10% |
| 直流输电系统 | 8% |


### 2021年美国上榜企业研发投入行业分布

|  |  |
| --- | --- |
| 研发投入-软件和计算机服务 | 32.7% |
| 研发投入-制药和生物技术 | 25.6% |
| 研发投入-技术硬件和设备 | 20.0% |
| 研发投入-汽车及零部件 | 5.1% |
| 研发投入-医疗设备和服务 | 2.7% |
| 研发投入-电子电气设备 | 2.3% |
| 研发投入-航空航天与国防 | 1.7% |
| 其它 | 9.9% |


### 2021年英国上榜企业研发投入行业分布

|  |  |
| --- | --- |
| 研发投入-制药和生物技术 | 44.6% |
| 研发投入-银行 | 12.3% |
| 研发投入-软件和计算机服务 | 8.6% |
| 研发投入-航空航天与国防 | 4.2% |
| 研发投入-汽车及零部件 | 4.2% |
| 研发投入-石油和天然气生产 | 3.3% |
| 研发投入-食品生产 | 3.1% |
| 其它 | 19.8% |


### 图1：2021年各领域隐私计算厂商市场规模占比

| 隐私计算厂商 | 市场规模占比 |
| --- | --- |
| 初创专精型厂商 | 31% |
| 人工智能/金融科技厂商 | 22% |
| 区块链厂商 | 21% |
| 互联网厂商 | 14% |
| 网络安全/大数据厂商 | 10% |


### 全球独角兽公司数量
|  |  |
| --- | --- |
| 独角兽公司数量-企业科技 | 30.2% |
| 独角兽公司数量-金融服务 | 17.7% |
| 独角兽公司数量-消费者和零售 | 17.7% |
| 独角兽公司数量-先进制造业 | 15.6% |
| 独角兽公司数量-医疗和生命科学 | 10.0% |
| 独角兽公司数量-媒体和娱乐 | 6.6% |
| 独角兽公司数量-保险 | 2.2% |


### 国内电视机相关企业主要分布行业

| 行业 |  |
| --- | --- |
| 批发和零售业 | 50% |
| 制造业 | 17% |
| 信息传输、软件和信息技术服务业 | 10% |
| 科学研究和技术服务业 | 9% |
| 居民服务、修理和其他服务业 | 5% |
| 租赁和商务服务业 | 3% |
| 其他行业 | 6% |


|  |  |
| --- | --- |
| A.线上平台（如淘宝、京东、拼多多等） | 45.2% |
| 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% |
| C.家电品牌专卖店 | 8.73% |


### 你认为日系车有哪些优点？
|  |  |
| --- | --- |
| 省油，油耗超低 | 31% |
| 造型设计前卫、时尚 | 10% |
| 安全性好，针对驾驶员和行人都有多种保护措施 | 4% |
| 内饰精细、安静舒适 | 7% |
| 故障率低、耐用性好 | 23% |
| 自然吸气、涡轮增压、混合动力形式多样 | 6% |
| 电子配置丰富 | 4% |
| 维修保养成本低 | 15% |


### Small Luxury SUV Sales In Canada - November 2010
#### Click Graph For Larger View
#### www.GoodCarBadCar.net

|  |  |
| --- | --- |
| Acura RDX | 227 |
| Audi Q5 | 201 |
| BMW X3 | 182 |
| Cadillac SRX | 263 |
| Infiniti EX | 137 |
| Land Rover LR2 | 36 |
| Mercedes GLK | 492 |
| Volvo XC60 | 156 |


### Facebook Leads Sharing
#### Source: AddToAny

|  |  |
| --- | --- |
| Facebook | 24.0% |
| Email | 11.1% |
| Twitter | 10.8% |
| Yahoo Bookmarks | 5.5% |
| Myspace | 5.0% |
| Windows Live |  4.7% |
| Delicious | 4.5% |
| Digg | 4.4% |
| Google Bookmarks | 4.0% |
| Yahoo Buzz | 3.9% |
| Reddit | 3.8% |
| StumbleUpon | 3.4% |
| Bebo | 3.1% |
| Other | 11.4% |


### What feature is missing in iOS/iPadOS 15 that you think should have been included?
#### 3,005 responses

|  |  |
| --- | --- |
| Better external display support for iPad | 13.2% |
| Pro tools (Xcode, Final Cut Pro, etc.)... | 14.9% |
| Other | 2.1% |
| Always-on display for time and notifications | 21% |
| App lock feature using Face ID/passcode | 3.1% |
| Split screen multitasking capabilities o... | 5.4% |
| Support for multiple user accounts | 8% |
| Addition of interactive widgets | 32.3% |


### Planned iPad Support

|  |  |
| --- | --- |
| iPad app by 6/30/2010 | 3% |
| iPad website by 6/30/2010 | 6% |
| Use existing iPod app/website | 7% |
| iPad app or site by 12/31/2011 | 10% |
| iPad app or site by 12/31/2010 | 12% |
| Can't disclose or other | 19% |
| No plans to support iPad | 43% |


|  |  |
| --- | --- |
| Machine Learning (ML) | 35% |
| others | 19% |
| Data Mining Knowledge Management (DMKM) | 7% |
| Application Domains (APP) | 7% |
| Speech Natural Language Processing (SNLP) | 11% |
| Computer Vision (CV) | 20% |


### North American university destinations 2015-2021

| University | Destinations |
| --- | --- |
| University of Chicago | 6 |
| Brown | 5 |
| Harvard | 5 |
| Pennsylvania | 5 |
| Stanford | 4 |
| Cornell | 3 |
| Duke | 3 |
| Georgetown | 3 |
| Bowdoin | 2 |
| British Columbia | 2 |
| Rice | 2 |
| Southern California | 2 |
| UC Berkeley | 2 |
| Othetr - single place destinations | 15<br>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). |


### Investor type with exposure to decentralized finance (DeFi)

| Investor type |  |  |
| --- | --- | --- |
| Crypto VC | 39.1% | 54 |
| Traditional VC | 22.5% | 31 |
| Angel | 13.0% | 18 |
| Companies | 8.0% | 11 |
| Hedge fund/Trading firm | 6.5% | 9 |
| Accelerators | 5.8% | 8 |
| Corporate VC | 2.9% | 4 |
| Other | 2.2% | 3 |


### Figure 6.1: TCO cost breakdown for case study A.
#### Case A Cost Distribution

|  |  |
| --- | --- |
| Server Amortization | 65.9% |
| Server Interest | 3.8% |
|  | 4.6% |
| Server OPEX | 3.3% |
| Server Power | 3.8% |
| PUE Overhead | 3.0% |
| DC Amortization | 7.3% |
| DC Interest | 4.1% |
| DC OPEX | 4.2% |


### Coatings Industry Sales
#### Source: Axalta estimates

|  | Sales |
| --- | --- |
| Decorative Paints | 42% |
| General Industrial | 20% |
| Auto OEM | 7% |
| Protective Paints | 7% |
| Wood | 6% |
| Auto Refinish | 5% |
| Marine Paints | 3% |
| Coil | 3% |
| Offshore and Containers | 2% |
| Packaging | 2% |
| Aerospace | 1% |


### Distribution of Expenses Using Our Statistical Model:

|  |  |
| --- | --- |
| Transportation | 7.9% |
| Clothing And Shoes | 1.7% |
| Sports And Leisure | 3.8% |
| Markets | 28.5% |
| Utilities (Monthly) | 5.5% |
| Rent Per Month | 39.5% |
| Restaurants | 13.1% |


### Which character do you think is currently the strongest?

|  |  |
| --- | --- |
| Berserker | 9.1% |
| It is too early to say | 36.3% |
| Striker | 4.7% |
| Grappler | 1.7% |
| Inquisitor | 5.3% |
| Crusader | 20.5% |
| Kuncichi | 2.2% |
| Vanguard | 1.4% |
| Ranger | 3.6% |
| Dragon Knight | 2.8% |
| Hitman | 2.6% |
| Ghostbiade | 9.8% |


### North American university destinations 2015-2021

| University | Destinations |
| --- | --- |
| University of Chicago | 6 |
| Brown | 5 |
| Harvard | 5 |
| Pennsylvania | 5 |
| Stanford | 4 |
| Cornell | 3 |
| Duke | 3 |
| Georgetown | 3 |
| Bowdoin | 2 |
| British Columbia | 2 |
| Rice | 2 |
| Southern California | 2 |
| UC Berkeley | 2 |
| Othetr - single place destinations | 15<br>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). |


<pFig>饼图1</pFig><quad>(0,0),(0,0)</quad>
### 2017 Retail Chapter 11 Cases

| Retail |  |
| --- | --- |
| Apparel | 55% |
| Children's Games/Toys | 7% |
| Health & Beauty | 10% |
| Electronics | 6% |
| Department Stores | 3% |
| Furniture | 3% |
| Pawn Shops | 6% |
| Sporting/Outdoor Goods | 10% |


### Smartphone Market Share by Value

|  |  |
| --- | --- |
| Apple | 43.0% |
| Xiaomi (including Redmi) | 18.0% |
| Huawei | 11.5% |
| vivo (including iQoo) | 9.6% |
| OPPO (including OnePlus) | 7.2% |
| Honor | 5.5% |
| Samsung | 1.4% |
| Others | 3.8% |


### Units Sold By Product Category

|  |  |
| --- | --- |
| Smart Phones | 15.19% |
| Smart Watches | 8.861% |
| Headsets | 12.658% |
| LCD | 17.722% |
| Laptops | 7.595% |
| Accessories | 37.975% |


### Coal Producing Provinces in China (2014)

|  |  |
| --- | --- |
| Inner Mongolia | 29% |
| Shanxi | 27% |
| Shaanxi | 15% |
| Guizhou | 6% |
| Shandong | 4% |
| Xinjiang | 4% |
| Henan | 4% |
| Anhui | 4% |
| Ningxia | 3% |
| Sichuan | 2% |
| Hebei | 2% |


### Domicile Distribution of Decentralized Finance Firms
| Domicile | Distribution |
| --- | --- |
| U.S. | 41% |
| Switzerland | 10% |
| U.K. | 8% |
| Singapore | 7% |
| E.U. | 7% |
| Cayman Islands | 6% |
| British Virgin Islands | 4% |
| Australia | 3% |
| China | 3% |
| Canada | 2% |
| Israel | 2% |
| Hong Kong | 0.9% |
| Liechtenstein | 0.9% |
| Serbia | 0.9% |
| Panama | 0.9% |
| Taiwan | 0.9% |
| Brazil | 0.9% |
| Costa Rica | 0.8% |
| Gibraltar | 0.8% |


|  |  |
| --- | --- |
| QINGDAO ZHONGREN ZHIYE BIOTECHNOLOGY CO., LTD. | 12% |
| HEFEI SUNRISE PIGMENTS CO., LTD. | 9% |
| BASF SE | 15% |
| CANON KABUSHIKI KAISHA | 11% |
| DIC CORPORATION | 10% |
| MERCK PATENT GMBH | 12% |
| Eckart GmbH | 12% |
| CHANGSHU HUANHONG CHEMICAL PIGMENT FACTORY | 5% |
| E. I. DU PONT DE NEMOURS AND COMPANY | 7% |
| LANXESS DEUTSCHLAND GMBH | 7% |


### Indian Smartphone Market Share by Vendor, Q3 2016

|  |  |
| --- | --- |
| Samsung | 23.0% |
| Others | 45.5% |
| Reliance Jio | 7.0% |
| Xiaomi | 7.4% |
| Micromax | 7.5% |
| Lenovo Group | 9.6% |


### Global SVOD revenues by platform in 2029 ($ billion)

|  |  |
| --- | --- |
| Others | 21.1 |
| Other US | 24.4 |
| China | 9.6 |
| Apple TV+ | 2.1 |
| Amazon | 7.4 |
| Paramount+ | 6.8 |
| HBO | 8.2 |
| Disney+ | 13.6 |
| Netflix | 33.5 |


<pFig>饼图1</pFig><quad>(0,0),(0,0)</quad>
### US Steel Imports by Country
#### YTD 2018 (June)
#### Sourcer Census Bureau

|  |  |
| --- | --- |
| Canada | 20% |
| Brazil | 12% |
| Mexico | 11% |
| Korea | 10% |
| Turkey | 4% |
| Japan | 5% |
| Others | 39% |


### Sample Student Retention Predictor Model Relative Strength of Model Variables

| Variables | Percent |
| --- | --- |
| High School GPA | 16.6% |
| Sense of Financial Security | 14.6% |
| ACT Composite Score | 13.2% |
| Facility Code | 14.0% |
| Desire to Transfer | 11.3% |
| Family Emotional Suppor | 12.0% |
| Intended Major | 9.6% |
| Percent of Need Met | 8.7% |


|  |  |
| --- | --- |
| Finisar | 14.80% |
| Lumentum | 8.60% |
| Broadcom/Foxconn | 7% |
| Sumitomo | 6.30% |
| Accelink | 5.60% |
| Oclaro | 5.40% |
| Acacia | 4.70% |
| NeoPhotonics | 4.20% |
| II-VI | 3.90% |
| Fujisu Optical Components | 3.90% |
| 其他 | 36% |


### What was the first thing that made you seriously consider going vegan? (Even if it didn't make you go vegan yet.)
#### 12,814 responses
|  |  |
| --- | --- |
| A feature length documentary | 21.9% |
| A conversation with a friend or a family member | 16.8% |
| A video on the internet (other than a feature length documentary) | 14.4% |
| Posts on social media (short clips, articles shared, images, comments ect) | 13.2% |
| I made the connection without any influence | 11.2% |
| I read some articles / blogs online | 4.4% |
| A book | 3.4% |
| Other | 14.7% |


### ACL 2018 Submissions

|  |  |
| --- | --- |
| Information Extraction and Text Mining | 12% |
| Sentence-level Semantics | 6% |
| Machine Translation | 7% |
| Machine Learning | 7% |
| Generation | 4% |
| Sentiment Analysis and Argument Mining | 6% |
| Tagging, Chunking, Syntax and Parsing | 4% |
| Social Media | 4% |
| Dialogue and Interactive Systems | 6% |
| Discourse and Pragmatics | 3% |
| Document Analysis | 7% |
| Other | 36% |


### Percentage of application category (n=181)
|  |  |
| --- | --- |
| Image production | 12.2% |
| Info aggregation | 13.3% |
| Bots | 29.8% |
| Coding | 30.9% |
| Writing | 3.3% |
| Workflow automation | 10.5% |


### Undergraduate Major

|  |  |
| --- | --- |
| Finance | 38% |
| Accounting | 22% |
| Business | 16% |
| Economics | 11% |
| Engineering | 5% |
| Mathematics | 11% |


|  |  |
| --- | --- |
| Electronics | 39.4% |
| Clothes | 16.5% |
| Beauty Makeup | 16% |
| Food | 13.6% |
| Household Eletric Appliance | 5.58% |
| Furniture | 3.17% |
| Jewellery Accessories | 2.83% |
| Outdoor Sports | 2.15% |
| Mother and Infant | 0.77% |


### Figure 2: Main topics of the webpages in the Design2Code benchmark.
|  |  |
| --- | --- |
| information | 10.8% |
| forum | 3.6% |
| news | 4.8% |
| homepage | 13.3% |
| company/org | 27.7% |
| blog | 25.3% |
| product | 4.8% |
| others | 9.6% |


### What was the main reason that made you go vegan?
#### 12,814 response

| Reason |  |
| --- | --- |
| For the animals | 68.1% |
| Health | 17.4% |
| For the Environment | 9.7% |
| Other | 4.8% |


|  |  |
| --- | --- |
| !Focus Area | 15% |
| Game Theory and Economic Paradigms (GTEP) | 16% |
| Human-Computation and Crowd Sourcing (HCC) | 2% |
| Cognitive Modeling Cognitive Systems (CMS) | 4% |
| Reasoning under Uncertainty (RU) | 4% |
| Intelligent Robots (ROB) | 5% |
| Constraint Satisfaction and Optimization (CSO) | 6% |
| Search and Optimization (SO) | 6% |
| Humans and AI (HAI) | 6% |
| Multiagent Systems (MAS) | 7% |
| Planning, Routing, and Scheduling (PRS) | 8% |
| Philosophy and Ethics of AI (PEAI) | 9% |
| Knowledge Representation and Reasoning (KRR) | 12% |


### Global supplement industry by country, 2023p

|  |  |
| --- | --- |
| United States | 34.3% |
| China | 14.3% |
| Total Western Europe | 11.8% |
| Latin America | 9.8% |
| India | 7.4% |
| Japan | 6.6% |
| Eastern Europe and Russia | 5.6% |
| Rest of Asia | 4.1% |
| Australia and New Zealand | 1.9% |
| Canada | 1.4% |
| Middle East | 1.2% |
| Africa | 1% |
| Mexico | 700m% |


|  |  |
| --- | --- |
| ML: Transfer, Domain Adaptation, Multi-Task Learning | 7% |
| ML: Distributed Machine Learning Federated Learning | 8% |
| ML: Reinforcement Learning | 9% |
| others | 33% |
| ML: Adversarial Learning Robustness | 2% |
| ML: Clustering | 2% |
| ML: Representation Learning | 2% |
| ML: Transparent, Interpretable, Explainable ML | 3% |
| ML: Learning on the Edge Model Compression | 3% |
| ML: Deep Generative Models Autoencoders | 3% |
| ML: Applications | 3% |
| ML: Life-Long and Continual Learning | 3% |
| ML: Classification and Regression | 4% |
| ML: Deep Learning Algorithms | 4% |
| ML: Time-Series/Data Streams | 5% |
| ML: Graph-based Machine Learning | 7% |


|  |  |
| --- | --- |
| 觉得自己父母唠叨的占 | 54% |
| 能主动找老师倾诉的占 | 13% |
| 在学习中能相互帮助共同进步的占 | 25% |
| 其它占 | 8% |


### Total School Spending 2001

|  |  |
| --- | --- |
| Insurance | 8% |
| Teachers' salaries | 45% |
| Furniture and equipment | 23% |
| Resources e.g. books | 9% |
| Other workers' salaries | 15% |


|  |  |
| --- | --- |
| use the Internet | 23% |
| read books | 20% |
| watch TV for over 2 hours | 14% |
| help with housework | 11% |
| eat hamburgers | 9% |
| drink water | 9% |
| make resolutions | 9% |
| stay up late | 5% |


### Grafik 2-5 Die Anwendung von Plastikbeuteln beim Einkaufen

|  |  |
| --- | --- |
| Ich kaufe jedesmal Plastikbeutel | 10% |
| Ich habe immer eigene Beutel dabei | 60% |
| Mal so, mal, so! | 30% |


### Figure 2f | Share of Dealer Sales by Channel in 2016

|  |  |
| --- | --- |
| Gallery | 51% |
| Overseas art fairs | 25% |
| Local art fairs | 16% |
| Online (own website) | 5% |
| Online (third-party platforms) | 3% |


|  |  |  |  |
| --- | ---- | --- | --- |
| TB Class 0 | No History of Tuberculosis (TB) | 31 | 11.0% |
| TB Class 1 | TB Exposure - No Evidence of Infection | 18 | 6.3% |
| TB Class 2 | TB Infection - No Disease | 47 | 16.6% |
| TB Class 3 | TB - Current Disease | 16 | 5.7% |
| TB Class 4 | TB - No Current Disease | 171 | 60.4% |


|  |  |
| --- | --- |
| Quantitative Strategy & Modeling & Research | 57% |
| Risk Management & Portfolio Management | 22% |
| Trading | 14% |
| Consulting & Corporate Finance | 7% |


### % of British Students able to speak languages other than English, 2000

|  |  |
| --- | --- |
| No other language | 20% |
| French only | 15% |
| German only | 10% |
| Spanish only | 30% |
| Another language | 15% |
| Two other languages | 10% |


### What's more important: protecting gun rights or controlling gun ownership?

|  |  |
| --- | --- |
| Controlling gun ownership | 50% |
| Protecting gun rights | 47% |
| undecided | 3% |


### The New Grading System in Our School

|  |  |
| --- | --- |
| test results | 30% |
| notes | 20% |
| homework | 20% |
| class performances | 20% |
| teamwork | 10% |


### % Drug Targets by Class
| Class | % Drug Targets |
| --- | --- |
| Receptors | 45% |
| Enzymes | 28% |
| Hormones/Growth Factors | 11% |
| Unknown | 7% |
| Ion Channels | 5% |
| Nuclear Receptors | 2% |
| Nucleic Acids | 2% |


### Graph 3. Amy's June Expenses

|  |  |
| --- | --- |
| Food | $25 |
| Movies | $12 |
| Clothing | $36 |
| Savings | $20 |
| Books | $7 |


### Has virtualization led you to reorganize IT teams?

|  |  |
| --- | --- |
| Yes, we've reorganized | 13% |
| Yes, we're in the process of reorganizing | 16% |
| No, but we see a need to reorganize | 21% |
| No, and we see no benefit to reorganizing | 50% |


### Australian household energy use
|  |  |
| --- | --- |
| water heating | 30% |
| refrigeration | 7% |
| other appliances | 15% |
| lighting | 4% |
| cooling | 2% |
| heating | 42% |


|  |  |
| --- | --- |
| Perianal disease | 18% |
| Both perianal and luminal disease | 25% |
| Luminal disease | 36% |
| Adverse event* | 3% |
| Others** | 18% |


|  |  |
| --- | --- |
| Water heating | 14% |
| Space Heating | 48% |
| Lighting,Cooking & Appliances | 18% |
| Space Cooling | 7% |
| Refrigeration | 13% |


### Safety in Diversity
#### CK Hutchison gets most of its revenue outside China

|  |  |
| --- | --- |
| Europe | 50% |
| Finance, investments, others | 21% |
| Others | 17% |
| Hong Kong | 7% |
| Mainland China | 5% |


### Total School Spending 1981

|  |  |
| --- | --- |
| Insurance | 2% |
| Teachers' salaries | 40% |
| Furniture and equipment | 15% |
| Resources e.g. books | 15% |
| Other workers' salaries | 28% |


### Häufigkeit der Verletzungen bei vaginalen Geburten nach Schweregraden
#### Quelle: IQTIG 2017

|  |  |
| --- | --- |
| keine Geburtsverletzungen | 40% |
| Grad Ⅰ | 18% |
| Grad Ⅱ | 21% |
| Episiotomie | 19% |
| Grad Ⅲ | 1.8% |
| Grad Ⅳ | 0.2% |


### A Healthy Meal

| Meal |  |
| --- | --- |
| Protein | 25% |
| Carbohydrates | 30% |
| Vegetables | 30% |
| Deliciousness | 15% |


### Figure 2.1: I often feel lonely (%)
#### The original question is: on a 1-5 scale, how much do you agree with the statement that I often fell lonely.

|  |  |
| --- | --- |
| Agree | 18.7 |
| Strongly agree | 5.5 |
| Strongly disagree | 11.8 |
| Disagree | 30.9 |
| Neutral | 33.2 |


### Total School Spending 2001

|  | Spending |
| --- | --- |
| Insurance | 8% |
| Teachers' salaries | 45% |
| Furniture and equipment | 23% |
| Resources e.g. books | 9% |
| Other workers' salaries | 15% |


|  |  |
| --- | --- |
| use the apps on the phone | 8% |
| Take after-school English classes | 22% |
| Listen to teachers in class carefully | 58% |
| other ways to practice | 12% |


### THE MOST EFFECTIVE WAY TO EASE STRESS

|  |  |
| --- | --- |
| listen to music | 40% |
| physical exercise | 25% |
| surf the Internet | 18% |
| talk to friends | 12% |
| others | 5% |


### Country C Annual Expenditure per Student £10,000

|  |  |
| --- | --- |
| Accommodation| 37% |
| Food | 25% |
| Entertainment | 20% |
| Books | 12% |
| Others | 6% |


### "How often do you use the social media platform TikTok?"

|  |  |
| --- | --- |
| Never | 31% |
| Very frequently | 30% |
| Frequently | 19% |
| Infrequently | 7% |
| Very infrequently | 6% |
| Neither infrequently or frequently | 7% |


### Household energy use in Australia
#### $ ^{\ast} $clothes and dishwashers, entertainment and small appliances e.g. toaster, hairdryer, iron

|  |  |
| --- | --- |
| HEATING & COOLING | 38% |
| WATER HEATING | 25% |
| FRIDGES & FREEZERS | 7% |
| LIGHTING | 7% |
| COOKING | 4% |
| STANDBY POWER | 3% |
| OTHER APPLIANCES$ ^{\ast} $ | 16% |


<pFig>饼图1</pFig><quad>(0,0),(0,0)</quad>
### 1999 HEALTH CARE EXPENDITURES (to the nearest whole percent)
#### Total S550 billion
|  |  |
| --- | --- |
| Hospital Care | 40% |
| Physician Services | 20% |
| Program Administration and Insurance Costs | 5% |
| Nursing Care | 8% |
| Dental Services | 7% |
| Drug and Medical Expenses | 7% |
|  | 13% |


### Australian household energy use

| Energy |  |
| --- | --- |
| water heating | 30% |
| refrigeration | 7% |
| other appliances | 15% |
| lighting | 4% |
| cooling | 2% |
| heating | 42% |


### Technological Edge
#### U.S. firms lead Russia's market for advanced methods of raising field productivity
#### Source: Vygon Consulting, data for 2020

|  |  |
| --- | --- |
| Russian firms | 48% |
| Baker Hughes | 16% |
| Schlumberger | 14% |
| Halliburton | 13% |
| Weatherford | 9% |


### 1981

|  |  |
| --- | --- |
| teachers' salary | 40% |
| other staff's salary | 33% |
| resources (eg. Books) | 10% |
| insurance | 2% |
| furniture & equipment | 15% |


### Factors that influence students' choices (2002)

|  |  |
| --- | --- |
| Location (close to parental home) | 16% |
| Suitable courses & degrees | 34% |
| Reputation of the institution | 25% |
| Admission criteria | 2% |
| Costs | 5% |
| Amenities, social activities & sports facilities | 18% |


### Source of European Natural Gas

|  |  |
| --- | --- |
| Russia | 39% |
| Norway | 27% |
| LNG | 12% |
| Netherlands | 10% |
| Others | 12% |


### 8. Number/article Types of Articles Published in 2017
#### 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.

| Number/article Type |  |
| --- | --- |
| Letter to the Editor | 25.00% |
| Others | 6.25% |
| Case Report | 3.75% |
| Brief Report | 6.25% |
| Review Article | 18.75% |
| Original Article | 40.00% |


### International visitors to New Zealand: country of origin
|  |  |
| --- | --- |
| Australia | 40% |
| United Kingdom | 12% |
| United States | 9% |
| China | 5% |
| Japan | 4% |
| South Korea | 3% |
| other | 27% |


### Capital Structure (Fig.6.)
#### Survey evidence on whether firms have optimal or target debt-equity ratios.

|  |  |
| --- | --- |
| No target ratio or range | 19% |
| Somewhat tight target/range | 34% |
| Very strict target | 10% |
| Flexible target | 37% |


### Individuals with hypertension 43 million
#### Individuals with blood pressure>140/90 mmHg 31 million

|  |  |  |
| --- | --- | --- |
| Treated & well controlled | 27% | 12 million |
| Treated & poorly controlled | 29% | 12.5 million |
| Untreated & aware | 11% | 4.5 million |
| Untreated & unaware | 33% | 14 million |


### Are you more mindful of health protection for yourself and your family this winter?
|  |  |
| --- | --- |
| Pay extra attention | 71.4% |
| Pay attention occasionally | 25.2% |
| Not much attention | 3.4% |


### LV Dysfunction in the Community How Much Does it Contribute to SCD?
#### n=121

|  |  |
| --- | --- |
| Normal (EF ≥ 0.55) | 48% |
| Mild - moderately reduced (EF 0.36 - 0.54) | 22% |
| Severely reduced (EF ≤ 0.35) | 30% |


### PROFESSIONAL WORK EXPERIENCE
#### Years of Professional Experience

|  |  |
| --- | --- |
| 0-2 Years | 21% |
| 2-4 Years | 22% |
| 4-6 Years | 27% |
| 6-8 Years | 6% |
| 8-10 Years | 5% |
| 10+ Years | 19% |


### Youngest dependent child 0-2 years
|  |  |
| --- | --- |
| Working full-time | 11% |
| Not working | 70% |
| Working part-time | 19% |

### Youngest dependent child 5-9 years
|  |  |
| --- | --- |
| Working full-time | 14% |
| Not working | 38% |
| Working part-time | 48% |


|  |  |
| --- | --- |
| Efficient Power Conversion | 14% |
| NXP | 19% |
| GaN Systems | 9% |
| Texas Instruments | 12% |
| Infineon | 8% |
| Fujitsu | 9% |
| Transphor m | 10% |
| 其他 | 19% |


### THE MOST EFFECTIVE WAY TO EASE STRESS

|  |  |
| --- | --- |
| listen to music | 40% |
| physical exercise | 25% |
| surf the Internet | 18% |
| talk to friends | 12% |
| others | 5% |


|  |  |
| --- | --- |
| Program Development | 15% |
| Internal | 10% |
|  | 5% |
| Manufacturing & Fulfillment | 15% |
| G&A | 20% |
| Profit | 15% |
| Marketing | 35% |


### Figure 2.1: I often feel lonely (%)
#### The original questionis: on a 1-5 scale, how much do you agree with the statement that I often feel lonely.
|  |  |
| --- | --- |
| Agree | 18.7 |
| Strongly agree | 5.5 |
| Strongly disagree | 11.8 |
| Disagree | 30.9 |
| Neutral | 33.2 |


|  |  |
| --- | --- |
| Hotels,Gasthöfe,Pensionen | 59 |
| Ferienunterkünfte u.ä. Beherbergungsstätten | 19 |
| Campingplätze | 14 |
| Sonstige tourismus-relevante Unterkünfte | 4 |


### 你在家对垃圾进行分类吗？

|  |  |
| --- | --- |
| A. 按可回收垃圾、不可回收垃圾、其他垃圾进行科学分类 | 8% |
| B. 按家庭习惯将厨房垃圾、浴室垃圾进行简单分类 | 23% |
| C. 完全没有进行分类 | 69% |


### 减少浪费粮食统计图

|  |  |
| --- | --- |
| 浪费可耻，可以做出相应的惩罚 | 12.97% |
| 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% |
| 应该增强自我节约粮食意识 | 69.73% |
| 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% |
| 提高食堂厨师的烹饪技术 | 47.70% |
| 合理安排饭量 | 45.21% |


### 您认为以下哪种方法有助于让春节的气氛更浓（共57份）

|  |  |
| --- | --- |
| 保留传统习俗，如挂灯笼，贴对联 | 65% |
| 适当借鉴“洋节”的优秀之处 | 6% |
| 各地举办庙会、吴龙舞狮等大型传统庆祝 | 29% |


### User composition analysis

|  |  |
| --- | --- |
| Active | 35% |
| Lost of users | 40% |
| New users | 25% |


### Yang Ling's diet

|  |  |
| --- | --- |
| eggs | 5% |
| noodles rice | 30% |
| meat | 20% |
| vegetables fruit | 25% |
| sweet cake | 15% |
| water milk | 5% |


|  |  |
| --- | --- |
| Live TV | 47% |
| On demand(点播) | 4% |
| DVR(record and watch later) | 23% |
| Online streaming (Netflix, Hulu Plus, etc.) | 17% |
| Other | 9% |


|  |  |
| --- | --- |
| Timely source | 21.9% |
| Timely target | 40.6% |
| Timely head | 21.9% |
| sync reward | 3.1% |
| Proposer | 12.5% |


|  |  |
| --- | --- |
| The remaining | 5% |
| Market research | 35% |
| Product | 28% |
| development | 28% |
| User operation | 20% |
| Technical support | 12% |
| Technical | 12% |
| research | 35% |


|  |  |
| --- | --- |
| aggrieved | 20% |
| lonely helpless | 20% |
| unreconciled | 20% |
| sadness gloomy | 40% |


### healthy diet

|  |  |
| --- | --- |
| sweet cake | 5% |
| eggs | 10% |
| meat fish | 20% |
| rice bread | 30% |
| vegetables fruit | 25% |
| water milk | 10% |


### A schedule for the allocation of time for the day
|  |  |
| --- | --- |
| study | 33.3% |
| read books | 25% |
| Having a meal | 12.5% |
| Sleeping | 29.2% |


|  |  |
| --- | --- |
| Personal interest | 14% |
| business travel | 18% |
| Holiday travel | 45% |
| Meeting people | 13% |
| Communication with oversea clients | 10% |


### July Electricty Usage For The Smythe Household

|  |  |
| --- | --- |
| Air Conditioner | 53% |
| Large Appliance | 18% |
| Light/Small Appliances | 9% |
| Water Heater | 20% |


<pFig>饼图1</pFig><quad>(0,0),(0,0)</quad>

|  |  |
| --- | --- |
| Product Type | 20% |
| People Type | 8% |
| The user group accounts | 28% |
| The remaining | 25% |
| Market share | 35% |


<pFig>饼图1</pFig><quad>(0,0),(0,0)</quad>
### Revenue contribution of the 8 major courses
#### Unit: Ten thousand yuan, the data is simulated.

|  |  |
| --- | --- |
| Python | 24% |
| Excel | 17% |
| PPT | 11% |
| Paper layout | 10% |
| Business Chart | 1% |
| Data Analysis | 4% |
| R language | 8% |
| SPSS Statistics | 25% |


### WHAT'S IN OUR SUCITCASE?

|  |  |
| --- | --- |
| Clean clothes?? | 25% |
| Dress we have never worn but thought we'd try on this trip (nope) | 18% |
| Crumpled baggie containing half-empty travel shampoo | 16% |
| Book we haven't even opened | 16% |
| Dirty clothes?? | 25% |


|  |  |
| --- | --- |
| mobile phone cards | 20% |
| books or entertainments | 30% |
| Savings | 20% |
| Snacks | 20% |


### Sales by Product
#### Total=$75.2M

|  |  |
| --- | --- |
| Product A | 25% |
| Product B | 22% |
| Product C | 20% |
| Product D | 17% |
| Product E | 17% |


|  |  |
| --- | --- |
| Products A | 50% |
| Products C | 30% |
| Products D | 15% |
| Products B | 5% |


|  |  |
| --- | --- |
| Electronic Products | 25% |
| Household items | 8% |
| clothing | 5% |
| food | 2% |
| Makeup | 10% |
| Digital | 19% |
| Maternal and infant | 22% |
| books | 6% |
| sports | 3% |


### Marketshare
|  | Marketshare |
| --- | --- |
| Fedex | 19% |
| Other | 3% |
| USPS | 32% |
| UPS | 24% |
| Amazon Logistics | 22% |


### WHY ARE WE CREEPIN'？

|  |  |
| --- | --- |
| It's only 'cause we need some affection | 80% |
| He doesn't know what we do | 20% |


### South American Population by Country
| Country |  |
| --- | --- |
| Others | 5% |
| Chile | 4% |
| Peru | 4% |
| Brazil | 8% |
| Ecuador | 8% |
| Argentina | 10% |
| Colombia | 12% |
| Venezuela | 49% |


|  |  |
| --- | --- |
| CFCs | 17% |
| Other industries activities | 3% |
| Agricultural work | 14% |
| Changes in land use | 9% |
| Energy Production and consumption | 57% |


|  |  |
| --- | --- |
| Product Type | 20% |
| People Type | 8% |
| The user group·accounts | 28% |
| The remaining | 25% |
| Market share | 35% |


### Daily food sales chart of the cafeteria of a certain university

|  |  |
| --- | --- |
| Hot Pot | 18% |
| Chicken and pigeon soup | 17.5% |
| Beef Noodles | 15% |
| Hamburg | 13.5% |
| Chicken Skewer Salad | 16.5% |
| Rapeseed | 19.5% |


|  |  |
| --- | --- |
| Reading books | 45% |
| Exercise | 30% |
| Watching TV | 15% |
| Others | 10% |


### Fruit Distribution

|  |  |
| --- | --- |
| Grapes | 21% |
| Bananas | 20% |
| Oranges | 20% |
| Pineapple | 5% |
| Apples | 30% |
| Lemon | 4% |


|  |  |
| --- | --- |
| Listening to music | 25% |
| Reading books | 35% |
| Doing sports | 30% |
| others | 10% |


### Mike's diet

|  |  |
| --- | --- |
| sweet cake | 20% |
| rice bread | 40% |
| eggs | 5% |
| fish meat | 30% |
| water milk | 5% |


### The students' Favorite Books

|  |  |
| --- | --- |
| novels | 39% |
| science fictions | 27% |
| biographies | 23% |
| others | 11% |


### Sales share of various fruits in the third quarter of 2018

|  |  |
| --- | --- |
| Apples | 29% |
| Bananas | 7% |
| Grapes | 13% |
| Oranges | 15% |
| Pomegranate | 36% |


### WHAT ARE WE DOING ON THIS AIRPLANE?

|  |  |
| --- | --- |
| Crying at a Pixar movie | 20% |
| Wondering when the weed gummy will kick in | 20% |
| Wondering whether the business traveler farted or if the plane just smells like that | 15% |
| Armrest war with business traveler in the next seat over | 15% |
| Trying to open third bag of pretzels in least noisy/humiliating way possible | 30% |


### Market share distribution

|  |  |
| --- | --- |
| Electronics products | 20% |
| Household items | 22% |
| Clothing | 16% |
| Foodstuff | 22% |
| Others | 20% |


### Percentage of mother-baby families' average monthly childcare expenses as a percentage of monthly income in 2020

|  |  |
| --- | --- |
| Middle-income family | 34% |
| High-income family | 22% |
| Low-income family | 44% |


|  |  |
| --- | --- |
| securities trading | 13% |
| Depository | 13% |
| consulting revenue | 13% |
| Trust business revenue Entry | 10% |
| Lease | 10% |
| real estate development | 9% |
| commission | 8% |
| Interest | 7% |
| Foreign exchange trading | 6% |
| financial institution | 5% |
| Guaranteed | 5% |
| Gold and silver trading | 2% |


### Primary Occupation of Public Transportation Passengers in Us Cities

|  |  |
| --- | --- |
| unemployed | 6.4% |
| student | 10.7% |
| homemaker | 2.0% |
| retired | 6.7% |
| other | 2.2% |
| employed outside the home | 72% |