EDA Toolkit

Getting Started

  • Welcome to the EDA Toolkit Python Library Documentation!
  • Description

Data Management

  • Data Management Overview
  • Data Management Techniques

Plotting Functions

  • Creating Effective Visualizations
  • Histogram Distribution Plots
  • Grouped Distributions
  • Distribution Goodness-of-Fit Plots
  • Feature Scaling and Outliers
  • Stacked Crosstab Plots
  • Outcome Crosstab Plots
  • Box and Violin Plots
  • Scatter Plots and Best Fit Lines
  • Correlation Matrices

Theoretical Overview

  • Gaussian Assumption for Normality
  • Pearson Correlation Coefficient
  • Box-Cox Transformation
  • The Yeo-Johnson Transformation
  • Median and IQR Scaling
  • Logit Transformation
  • Parameter Estimation for Density Models and Distribution GOF Plots
  • Empirical Cumulative Distribution Function: ECDF

About EDA Toolkit

  • ASCII Art
  • Acknowledgements
  • Contributors/Maintainers
  • Citing EDA Toolkit
  • Changelog
  • References
EDA Toolkit
  • Search

© Copyright 2024, Leonid Shpaner, Oscar Gil.

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