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Data Profiling Toolkit

Overview

This project automates dataset profiling using ydata-profiling (formerly pandas-profiling). It generates detailed reports with key insights, such as missing values, distributions, correlations, and more, making exploratory data analysis (EDA) faster and easier.

Features

  • Automatic detection of missing values
  • Summary statistics for numerical and categorical columns
  • Correlation heatmaps
  • Distribution plots
  • Customizable reporting

Acknowledgments

  • This project utilizes ydata-profiling for data analysis and reporting.

Installation

Clone the repository and install the required dependencies:

git clone https://github.com/JobitJames/Data-Profiling-Toolkit.git
cd Data-Profiling-Toolkit
pip install -r requirements.txt

About

This project automates the profiling of datasets to help users understand key insights such as missing values, distributions, correlations, and more.

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