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Category: Data & AnalyticsNo API key required

AI Data Visualizer

Automatically analyze and recommend optimal chart combinations based on data characteristics, generate beautiful interactive HTML dashboards (including line...

personAuthor: openlarkhubclawhub
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AI Data Visualizer

Generate interactive HTML dashboards from CSV/JSON data with one click.

Applicable Scenarios

  • User provides CSV/JSON files that need visualization
  • User needs a data analysis dashboard
  • User mentions "data visualization", "generate chart", "plot", "chart"
  • User uploads tabular data wanting intuitive display

Quick Start

python3 "{SKILL_DIR}/scripts/generate_dashboard.py" data.csv -o dashboard.html
python3 "{SKILL_DIR}/scripts/generate_dashboard.py" data.json --json -o dashboard.html --theme dark

Features

  • Smart Chart Recommendation: Automatically detects column types (numeric/time/categorical/text) and recommends optimal chart combinations
  • 6 Chart Types: Line charts (trends), bar charts (comparison), scatter plots (correlation), pie/donut charts (proportions)
  • Interactive HTML: Chart.js rendering, hover tooltips, dark/light theme toggle, responsive layout
  • Statistical Summary: Automatically calculates mean, median, min/max values
  • Data Table: Embedded raw data preview (limit 500 rows)

Supported Chart Selections

The script automatically selects chart strategies based on data column types. See {SKILL_DIR}/references/chart-selection.md.

CLI Options

| Option | Description | Default | |--------|-------------|---------| | input | CSV or JSON file path | (required) | | -o, --output | Output HTML path | dashboard.html | | --json | Input is JSON format | auto-detect | | --stdin | Read CSV from stdin | - | | --theme | light or dark | light | | --title | Dashboard title | 数据可视化仪表板 |

Workflow

  1. Receive user data — File path (CSV/JSON) or direct data content
  2. Preprocess data — Clean and transform if necessary
  3. Generate dashboard — Run script, output HTML
  4. Inform user — Describe generated file and chart summary

If the user provides data content directly (rather than a file), write it to a temporary CSV file first, then call the script.

Dependencies

  • Python 3.7+
  • Chart.js 4.x (CDN loaded in HTML output)
  • No pip dependencies (pure standard library)

Example

Input sales.csv:

Month,Product,Revenue,Units
2024-01,A,15000,120
2024-02,A,18000,145
2024-01,B,12000,95
2024-02,B,14000,110

Output: Automatically generates a dashboard with trend line charts, category comparison bar charts, and revenue proportion pie charts.