---
title: Advance Data Visualization Tool
emoji: 📊
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false
license: mit
---

# 📊 Advance Data Visualization Tool

An interactive data visualization tool built with Streamlit that allows users to upload CSV files and create various types of charts and plots with just a few clicks.

## ✨ Features

- **Multiple Chart Types**: Line charts, bar charts, scatter plots, pie charts, histograms, and heatmaps
- **Easy Data Upload**: Simple CSV file upload interface
- **Feature Selection**: Choose which columns to visualize
- **Interactive Plots**: Powered by Plotly and Matplotlib
- **Correlation Analysis**: Heatmap visualization for feature correlations

## 🚀 How to Use

1. Upload your CSV file using the sidebar
2. Select the features (columns) you want to visualize
3. Choose your preferred chart type
4. View your interactive visualization!

## 🛠️ Built With

- Python
- Streamlit
- Pandas
- Matplotlib
- Plotly

## 📝 License

MIT License - See LICENSE.md for details