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---
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](https://huggingface.co/spaces) (free tier).
> ⚠️ Uses `sdk: docker` — include `Dockerfile`.
## Requirements
- Python 3.8+
- Streamlit, pandas, numpy, plotly
---
💡 Tip: Try "Smart Suggestions" first, then customize with the plot builder! |