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🦀 ClawHub

Data Visualization Pro (Automaton)

by @chenghaifeng08-creator

AI-powered data visualization tool with 6 chart types (bar, line, pie, scatter, heatmap, radar), CSV/JSON import, AI-driven chart recommendations, interactiv...

Versionv1.0.0

Downloads905

Installs1

Stars⭐ 1

#data #legal #travel #automation

View on ClawHub →

TERMINAL

clawhub install data-visualization-pro-automaton

📖 About This Skill

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

💡 Examples

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)