Update README.md

README.md

@@ -1,19 +1,54 @@
 ---
 title: SimpleViz
-emoji: 🚀
-colorFrom: red
-colorTo: red
+emoji: 🎨
+colorFrom: purple
+colorTo: pink
 sdk: docker
 app_port: 8501
 tags:
-- streamlit
+  - streamlit
+  - data-visualization
+  - plotly
+  - eda
+  - charts
 pinned: false
-short_description: Streamlit template space
+short_description: Create beautiful interactive visualizations.
 ---
 
-# Welcome to Streamlit!
+# SimpleViz
 
-Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
+Interactive Streamlit dashboard to create stunning, publication-ready visualizations from your CSV files.
 
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+## Author
+Eduardo Nacimiento García  
+📧 enacimie@ull.edu.es  
+📜 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!