Automated Exploratory Data Analysis tool that can automat the pre-processing steps and providing a comprehensive visualization dashboard for each column type.
- autoEDA.py: The main entry point of the tool.
- visualization.py: Utility functions for generating visualizations using Matplotlib and Seaborn.
- test.ipynb: Example of using the tool
- International_Report_Departures.csv : test dataset.
- Load data from CSV, Excel, and SQL databases.
- Automated preprocessing based on column types.
- Handle missing values and scale numerical features.
- Data visualization using Matplotlib and Seaborn
- Visualization dashboard with histograms, box plots, scatter plots, etc.
- Feature selection options.