Exploratory Data Analysis
Exploratory data analysis with instant visualizations, descriptive statistics, and pattern detection.
🔎 Exploratory Data Analysis
A comprehensive package for understanding and visualizing your data through statistical analysis and automated reporting.
Key capabilities:
- Data Profiling Report – Automatically generates detailed HTML reports with data quality alerts, missing value analysis, and correlation warnings
- Correlation Matrix – Computes relationships between features using multiple methods (Pearson, Spearman, Kendall, Phi K, Cramers V) for both numerical and categorical data
- Pairplot Visualization – Creates matrix plots showing pairwise relationships across features with customizable color coding
- PCA Analysis – Performs dimensionality reduction with interactive visualizations (scatter plots, biplots, variance plots) and detailed component summaries
This package streamlines the initial data exploration phase, helping you quickly identify patterns, relationships, and potential data quality issues before moving to modeling.
Package Info
version
v0.1.0
python
3.10,
3.11,
3.12,
3.13