This project is a web application for visual data analysis of CSV files. It uses PyWebIO for the user interface and Plotly for generating visualizations. Users can upload CSV files, view data summaries, and analyze unique values, missing values, and categorical distributions with interactive charts.
- File Upload: Upload any CSV file for analysis.
- Unique Value Analysis: Displays a bar chart for unique value counts across columns.
- Missing Data Heatmap: Visualizes missing values in the data using a heatmap.
- Customizable Donut Charts: Creates donut charts for columns with 2 to 5 unique values, displayed in rows of three.
To run this project, you'll need Python 3.7+ and the following libraries:
pip install pywebio plotly pandas-
Start the Server: Run the application with the following command:
python web.py
-
Upload a CSV File: Go to
http://localhost:8080, upload your CSV file, and view analysis results.
- Unique Value Counts for Each Column: Displays a bar chart showing the unique value counts for each column in the dataset.
- Missing Values Heatmap: A heatmap indicating the presence of missing values across rows and columns.
- Donut Charts: For columns with 2-5 unique values, interactive donut charts display the distribution of each unique value.
For testing purposes, try uploading a sample CSV file to explore the visualizations.
This project is licensed under the MIT License.