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// Skill profile

Data Visualization Pro

Name: Data Visualization Pro
Author: chenghaifeng08-creator

name: data-visualization-pro

by chenghaifeng08-creator · published 2026-04-01

数据处理

Total installs

Stars

★ 0

Last updated

2026-04

// Install command

$ claw add gh:chenghaifeng08-creator/chenghaifeng08-creator-data-visualization-pro-automaton

View on GitHub

// Full documentation

---

name: data-visualization-pro

description: AI-powered data visualization tool with 6 chart types (bar, line, pie, scatter, heatmap, radar), CSV/JSON import, AI-driven chart recommendations, interactive dashboards, and export to PNG/SVG/PDF. Use when creating charts, visualizing datasets, generating reports, or building data dashboards. Triggers on "chart", "graph", "visualize data", "plot", "dashboard", "data viz".

---

# Data Visualization Pro

AI-powered data visualization with smart chart recommendations.

Features

**6 Chart Types**: Bar, Line, Pie, Scatter, Heatmap, Radar

**AI Chart Recommendations**: Analyzes your data and suggests the best chart type

**CSV/JSON Import**: Drop in your data file and visualize instantly

**Interactive Dashboards**: Combine multiple charts into a single view

**Export**: PNG, SVG, PDF — publication-ready output

**Responsive**: Works on desktop and mobile

Quick Start

1. Visualize a CSV file

Visualize this data: [paste CSV or provide file path]

The agent will:

1. Parse the data (CSV, JSON, or raw text)

2. Analyze column types (numeric, categorical, temporal)

3. Recommend the best chart type

4. Generate an interactive visualization

2. Create a specific chart

Create a bar chart comparing Q1-Q4 revenue for 2024 and 2025

3. Build a dashboard

Build a dashboard from sales-data.csv with:
- Revenue trend (line chart)
- Regional breakdown (pie chart)
- Product comparison (bar chart)

Chart Selection Guide

| Data Pattern | Recommended Chart | When to Use |

|-------------|-------------------|-------------|

| Trends over time | Line | Time-series, stock prices, growth |

| Category comparison | Bar | Revenue by region, product sales |

| Part-of-whole | Pie | Market share, budget allocation |

| Correlation | Scatter | Height vs weight, price vs demand |

| Multi-variable | Radar | Product comparison, skill assessment |

| Density/matrix | Heatmap | Correlation matrix, geographic data |

AI Recommendation Engine

The AI analyzes your data to recommend the optimal visualization:

1. **Column type detection**: Numeric, categorical, temporal, boolean

2. **Relationship analysis**: Correlation strength, distribution shape

3. **Data volume assessment**: Row count determines complexity level

4. **Pattern recognition**: Trends, clusters, outliers, proportions

Sample Datasets Included

`sample-data.csv` — Mixed business metrics

`sample-categories.csv` — Category comparison data

`sample-correlation.csv` — Multi-variable correlation data

`sample-proportions.csv` — Part-of-whole data

Technical Stack

**Frontend**: React + TypeScript + Vite

**Charts**: Recharts (built on D3.js)

**Styling**: Tailwind CSS

**Export**: html2canvas + jsPDF

**Build**: 382KB production build

Web App

Try the live demo: https://courageous-bonbon-d1af15.netlify.app

Usage Tips

For large datasets (>10K rows), use aggregation before visualizing

AI recommendations work best with 3-20 columns

Export at 2x resolution for print-quality output

Use the dashboard view to tell a complete data story

// Comments

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