A Python package for quick data quality profiling with visualization and imputation suggestions
Project description
DataQualityChecker
A Python package to perform quick, insightful data quality profiling with visualizations and imputation suggestions — perfect for data scientists and analysts.
Features
- Summarize missing values and data types
- Generate a detailed Markdown data quality report
- Visualize missing data and distributions using Seaborn
- Suggest imputation methods for missing data
- Easy-to-use API with a clean, modular design
Installation
pip install dxplorer
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