A powerful and user-friendly web app built with Streamlit that lets you upload and explore datasets visually. Supports CSV, Excel, and JSON files with built-in charting and even machine learning functionality.
- Upload and preview CSV, Excel (.xlsx), or JSON datasets
- Visualize:
- Histograms and Boxplots
- Bar charts for categorical data
- Correlation heatmaps
- Scatter plots for numeric comparisons
- Export charts as PNG images
- Machine Learning Playground with Random Forest and Logistic Regression
- Automatically handles missing data and allows easy inspection
git clone https://github.com/MrMikeAde/enhanced-dataset-visualizer.git
cd enhanced-dataset-visualizer
pip install -r requirements.txt
streamlit run app.pyTry the hosted version here:
https://enhanced-dataset-visualizer-pdua5naaluldswthesqvgo.streamlit.app/
If you find this project useful, please:
- Star the repository
- Share it with others
- Follow me on GitHub: https://github.com/MrMikeAde
Your support helps keep the project alive and encourages future improvements.
This project is licensed under the MIT License. You are free to use, modify, and distribute it as you like.
GitHub: https://github.com/MrMikeAde