DataAuditKit (Python Package for EDA)

Project Overview

An open-source Python package published on PyPI engineered to accelerate exploratory data analysis (EDA) by providing automated routines for dataset inspection, summary statistics, missing data analysis, and visual diagnostics.

Key Features

• Data Profiling & Inspection: Automated identification of data types, cardinality, skewness, and outliers across structured datasets.
• Missing Value Diagnostics: Specialized routines to quantify, visualize, and summarize missing value mechanisms and patterns.
• Descriptive Statistics: One-line generation of univariate and bivariate distribution metrics.
• Visualization Suite: Clean visualization helpers for quick correlation analysis, distribution plotting, and data quality reports.

Links

• PyPI Package: pypi.org/project/DataAuditKit
• GitHub Repository: github.com/md-naim-molla/datainsight

Tech Stack

• Language & Ecosystem: Python, Pandas, NumPy, Matplotlib, Seaborn
• Distribution: PyPI (pip install DataAuditKit)