A Python package for comprehensive data profiling with sequential notebook display and PDF export capabilities.
pytics-basic is a powerful data profiling tool that provides detailed insights into your datasets. It generates comprehensive reports showing overview statistics, per-column analysis, and visualizations including numerical distributions, categorical value counts, and correlation matrices. The tool supports both interactive notebook display and PDF export.
- Overview Statistics: Quick summary of dataset characteristics
- Per-Column Analysis: Detailed statistics for each column based on data type
- Visualizations:
- Numerical distributions (histograms with KDE)
- Categorical value counts (bar plots)
- Correlation matrices (heatmaps)
- Memory Usage Analysis: Optional deep memory usage calculation
- Configurable Thresholds: Control correlation matrix computation and quasi-constant detection
- PDF Report Generation: Export comprehensive reports in PDF format
- Notebook Integration: Seamless display in Jupyter notebooks