GraphWise is a simple web application built with Streamlit that enables users to convert their Excel files into interactive visualizations. With GraphWise, users can upload Excel (xlsx, xls) or CSV files containing their data and instantly visualize it without the need for any additional software or coding skills.
👉 https://graphwise.streamlit.app/
- File Upload: Upload Excel or CSV files directly to the web application.
- Data Selection: Select specific columns from the uploaded dataset for visualization.
- Interactive Visualizations: Choose from various chart types including Pie Chart, Histogram, Scatter Plot, Line Graph, Box Plot, and Violin Plot.
- Streamlit Integration: Built using Streamlit, making it easy to deploy and use.
- Clone the repository to your local machine.
- Install the required dependencies listed in
requirements.txt. - Run the Streamlit app using the command
streamlit run app.py. - Upload your Excel or CSV file and start visualizing your data.
- Excel (xlsx, xls)
- Python 3.x
- Streamlit
- Pandas
- Plotly Express
- PIL (Python Imaging Library)
Here are some screenshots of the GraphWise app:
Upload File
Pie Chart
Histogram
Scatter Plot
Line Graph
Contributions are welcome! If you find any issues or have suggestions for improvements, please feel free to open an issue or create a pull request.
This project is licensed under the MIT License.