Upload: 51 HTML dashboard files

.gitattributes

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README.md

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+---
+annotations_creators:
+- machine-generated
+language_creators:
+- machine-generated
+language:
+- en
+license:
+- mit
+multilinguality:
+- monolingual
+size_categories:
+- n<100
+task_categories:
+- text-generation
+- code-generation
+task_ids:
+- code-generation
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*.parquet
+  features:
+  - name: filename
+    dtype: string
+  - name: title
+    dtype: string
+  - name: code
+    dtype: string
+  - name: theme
+    dtype: string
+  - name: chart_types
+    dtype: string
+  - name: metric_count
+    dtype: int32
+  - name: has_table
+    dtype: bool
+  - name: data_source
+    dtype: string
+  - name: file_size
+    dtype: int32
+  - name: token_count
+    dtype: int32
+---
+# DataViz HTML Dashboard Dataset
+
+51 HTML dashboard files built with the **dash-viz-kit** library — 10 themes, 12 chart types (ApexCharts + ECharts), zero config, declarative HTML.
+
+## Structure
+- `data/train-00000-of-00001.parquet` — Main dataset in Parquet format
+- `data/*.csv` — CSV data files used by 15 dashboards
+- `README.md` — Dataset card
+
+## Columns
+| Column | Type | Description |
+|--------|------|-------------|
+| filename | string | File name of the dashboard |
+| title | string | Human-readable title |
+| code | string | Full HTML source code |
+| theme | string | Theme name (editorial, midnight-galaxy, etc.) |
+| chart_types | string | Semi-colon separated chart types |
+| metric_count | int32 | Number of KPI stat cards |
+| has_table | bool | Whether a data table is included |
+| data_source | string | "inline" or "csv" |
+| file_size | int32 | File size in bytes |
+| token_count | int32 | Approximate token count |
+
+## Usage
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("sanjaymalladi/dataviz-html-dataset", split="train")
+print(dataset[0]["filename"])
+print(dataset[0]["code"][:200])
+```
+
+## Domains
+- Ab Testing\n- Ai Metrics\n- Airline Traffic\n- Astronomy Dashboard\n- Box Office\n- Climate Change\n- Cohort Analysis\n- Covid Dashboard\n- Crm Analytics\n- Crypto Tracker\n... and 41 more
+
+## Themes
+- **brutalism** — Bold, high-contrast monospace
+- **editorial** — Warm serif magazine style
+- **midnight-galaxy** — Dark purple cosmic
+- **tech-innovation** — Sleek dark blue
+- **ocean-depths** — Cool aqua palette
+- **sunset-boulevard** — Warm orange/terracotta
+- **forest-canopy** — Earthy greens
+- **desert-rose** — Soft rose sand
+- **golden-hour** — Warm amber tones
+
+## Chart Types
+Bar, Line, Area, Donut, Scatter, Heatmap, Radar, Gauge, Candlestick, Funnel, Treemap
+
+## License
+MIT

data/crypto.csv

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+Date,BTC,ETH,SOL,ADA,DOT,LINK
+2026-06-01,65000,3400,145,0.65,8.2,18.5
+2026-06-08,67200,3510,148,0.67,8.4,19.2
+2026-06-15,65800,3480,152,0.66,8.3,18.8
+2026-06-22,68100,3550,155,0.68,8.5,19.5
+2026-06-29,69500,3620,158,0.69,8.7,20.1
+2026-07-06,67800,3580,153,0.67,8.4,19.4
+2026-07-13,70200,3680,160,0.70,8.8,20.5
+2026-07-20,71500,3750,165,0.72,9.0,21.2

data/ecommerce.csv

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+Date,Revenue,Orders,AOV
+2026-01-01,142000,425,334
+2026-02-01,158000,468,338
+2026-03-01,175000,512,342
+2026-04-01,192000,558,344
+2026-05-01,210000,605,347
+2026-06-01,231000,658,351
+2026-07-01,248301,702,354

data/energy.csv

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+Year,Solar,Wind,Hydro,Nuclear,Gas,Coal
+2018,85,120,180,95,280,320
+2019,110,145,175,100,265,290
+2020,145,175,170,105,240,260
+2021,185,210,165,110,220,230
+2022,230,250,160,115,195,200
+2023,280,295,155,120,170,175
+2024,335,340,150,125,150,155
+2025,395,380,145,130,135,140

data/health.csv

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+Date,P1,P2,P3,P4,P5,P6,P7,P8,P9,P10
+2026-01-01,72,85,63,78,91,69,76,88,70,82
+2026-01-15,74,82,65,80,88,71,78,85,72,84
+2026-02-01,71,86,64,77,92,68,75,89,69,83
+2026-02-15,73,84,66,79,90,70,77,87,71,85
+2026-03-01,72,83,62,78,89,69,76,86,70,82
+2026-03-15,75,87,67,81,93,72,79,90,73,86

data/hr.csv

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+Department,Headcount,AvgSalary,Attrition,Engagement
+Engineering,245,125000,8.2,4.2
+Marketing,98,95000,12.5,3.8
+Sales,156,88000,18.4,3.5
+Operations,112,82000,10.2,4.0
+Finance,67,105000,6.8,4.3
+HR,42,78000,9.5,3.9
+Product,89,135000,7.2,4.5
+Design,54,115000,11.0,4.1

data/iot.csv

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+Time,Temperature,Humidity,Pressure,Vibration
+00:00,22.4,45,1013,0.02
+04:00,21.8,48,1012,0.01
+08:00,24.2,42,1014,0.04
+12:00,28.6,35,1011,0.08
+16:00,27.1,38,1010,0.06
+20:00,24.8,41,1013,0.03

data/logistics.csv

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+Region,Shipments,OnTime,Damaged,Cost
+North,12500,92.4,1.2,84500
+South,9800,88.7,1.8,72300
+East,14200,94.1,0.9,91200
+West,11000,90.3,1.5,78400
+Central,7600,86.5,2.1,56200

data/marketing.csv

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+Campaign,Impressions,Clicks,CTR,Spend,ROI
+Summer Launch,84500,4200,4.97,12400,2.8
+Brand Push,62300,2800,4.49,8900,2.1
+Retargeting,31200,1900,6.09,6200,4.2
+Newsletter,28000,3500,12.5,3100,6.8
+Social Ads,52000,3100,5.96,7500,3.4

data/music.csv

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+Month,Spotify,AppleMusic,YouTubeMusic,AmazonMusic,Deezer
+Jan,4200,2800,1800,1200,600
+Feb,4500,3000,2000,1300,650
+Mar,4800,3200,2200,1400,700
+Apr,5100,3500,2400,1500,750
+May,5500,3800,2600,1600,800
+Jun,5800,4000,2800,1700,850
+Jul,6200,4300,3000,1800,900

data/olympic.csv

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+Country,Gold,Silver,Bronze,Total,Population
+USA,39,41,33,113,331000000
+China,38,32,18,88,1426000000
+Japan,27,14,17,58,125800000
+Great Britain,22,21,22,65,67200000
+ROC,20,28,23,71,144100000
+Australia,17,7,22,46,25700000
+Netherlands,10,12,14,36,17400000
+France,10,12,11,33,67300000
+Germany,10,11,16,37,83200000
+Italy,10,10,20,40,59500000

data/retail.csv

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+Date,Electronics,Clothing,Groceries,Health,Books
+2026-01-01,185000,142000,98000,65000,42000
+2026-02-01,172000,135000,102000,68000,38000
+2026-03-01,195000,158000,110000,72000,45000
+2026-04-01,210000,165000,115000,75000,48000
+2026-05-01,228000,180000,120000,78000,52000
+2026-06-01,242000,195000,125000,82000,55000

data/social-media.csv

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+Platform,Followers,Engagement,Views,Shares
+Instagram,45000,4800,120000,3200
+TikTok,38000,5200,98000,4500
+YouTube,32000,2100,85000,1800
+Twitter,28000,3500,72000,2900
+LinkedIn,15000,1800,38000,1200
+Facebook,22000,2600,55000,2000

data/sports.csv

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+Team,Wins,PPG,FGPct,ThreePct,Rebounds
+Lakers,15,118.4,48.2,36.8,44.2
+Celtics,14,115.6,47.5,38.2,42.8
+Warriors,12,112.8,46.9,40.1,41.5
+Bucks,13,114.2,47.8,35.4,45.6
+Nuggets,16,120.5,49.1,37.2,43.9
+Suns,11,110.3,46.2,36.5,40.8
+Heat,10,108.9,45.8,34.9,42.1
+Sixers,9,107.2,45.1,33.8,41.2

data/stock.csv

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+Date,Open,High,Low,Close,Volume
+2026-07-15,180,185,178,183,45200000
+2026-07-16,183,190,182,188,48500000
+2026-07-17,188,192,185,190,42100000
+2026-07-18,190,195,187,193,46800000
+2026-07-21,193,198,191,196,44200000
+2026-07-22,196,205,194,202,51000000
+2026-07-23,202,210,200,208,53800000

data/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3319a094f0ca8a2b945afdf9cb687e39c11013f355da0ba610e70bf7be27ea72
+size 66792

data/youtube.csv

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+Video,Views,Likes,Comments,Shares,WatchTime
+Tutorial X,245000,12000,3400,2800,18400
+Review Y,185000,9200,2800,2100,14200
+Vlog Z,312000,15800,4500,3600,22800
+Guide W,98000,4800,1200,900,7200
+Livestream V,420000,22000,6800,5200,31000