| 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 | |