README.md

metadata

title: SimpleViz
emoji: 🎨
colorFrom: purple
colorTo: pink
sdk: docker
app_port: 8501
tags:
  - streamlit
  - data-visualization
  - plotly
  - eda
  - charts
pinned: false
short_description: Create beautiful interactive visualizations.

SimpleViz

Interactive Streamlit dashboard to create stunning, publication-ready visualizations from your CSV files.

Author

Eduardo Nacimiento García
📧 [email protected]
📜 Apache 2.0 License

Features

• Upload CSV or use built-in demo dataset
• Smart visualization suggestions based on data types
• Custom plot builder for:
  • Scatter, Line, Bar, Histogram, Box, Violin, Pie, Heatmap
• Color, size, and grouping options
• Multi-plot comparison (side by side)
• Download plots as PNG or HTML
• Plotly-powered interactive charts

Demo Dataset

Includes sample data with:

• Numeric: Age, Income, Satisfaction
• Categorical: City, Gender, Purchase
• Datetime: Date

Deployment

Ready for Hugging Face Spaces (free tier).

⚠️ Uses sdk: docker — include Dockerfile.

Requirements

• Python 3.8+
• Streamlit, pandas, numpy, plotly

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💡 Tip: Try "Smart Suggestions" first, then customize with the plot builder!