This project demonstrates how to perform a comprehensive EDA on a dataset using Python and ydata-profiling (formerly pandas-profiling). The generated report provides detailed insights into your dataset, including distributions, correlations, missing values, and more.
dataset.csvβ Input dataseteda_report.ipynbβ Jupyter notebook performing EDAoutput.htmlβ Generated interactive EDA report
View the report: Open output.html
- Python 3.10+
- Jupyter Notebook / Lab
- Libraries:
pip install pandas ydata-profiling