metadata
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
- Upload your CSV file using the sidebar
- Select the features (columns) you want to visualize
- Choose your preferred chart type
- View your interactive visualization!
🛠️ Built With
- Python
- Streamlit
- Pandas
- Matplotlib
- Plotly
📝 License
MIT License - See LICENSE.md for details