Table of Contents

Getting Started

• Welcome to the EDA Toolkit Python Library Documentation!
  • Project Links
  • What is EDA?
  • Purpose of EDA Toolkit
  • Key Features
  • Prerequisites
  • Installation
• Description

Theoretical Overview

• Gaussian Assumption for Normality
  • Histograms and Kernel Density Estimation (KDE)
• Pearson Correlation Coefficient
• Box-Cox Transformation
  • Mathematical Definition
  • Properties and Benefits
  • Practical Considerations
  • Applications in Modeling
    • Confidence Intervals for Lambda
• The Yeo-Johnson Transformation
• Median and IQR Scaling
  • Centering Data Using the Median
  • Explanation of Each Component
  • Example Calculation
• Logit Transformation
  • Purpose and Assumptions
• Partial Dependence Foundations

Data Management

• Data Management Overview
• Data Management Techniques
  • Path directories
    • ensure_directory()
  • Adding Unique Identifiers
    • add_ids()
  • Trailing Period Removal
    • strip_trailing_period()
  • Standardized Dates
    • parse_date_with_rule()
  • DataFrame Analysis
    • dataframe_columns()
    • Census Income Example
    • DataFrame Column Names
    • Calculation Details
  • Generating Summary Tables for Variable Combinations
    • summarize_all_combinations()
  • Saving DataFrames to Excel with Customized Formatting
    • save_dataframes_to_excel()
  • Creating Contingency Tables
    • contingency_table()
  • Highlighting Specific Columns in a DataFrame
    • highlight_columns()
  • Binning Numerical Columns

Plotting Heuristics

• Creating Effective Visualizations
  • Heuristics for Visualizations
  • Methodologies
• KDE and Histogram Distribution Plots
  • KDE Distribution Function
    • kde_distributions()
    • KDE and Histograms Example
    • Histogram Example (Density)
    • Histogram Example (Count)
    • Histogram Example - (Mean and Median)
    • Histogram Example - (Mean, Median, and Std. Deviation)
• Feature Scaling and Outliers
  • data_doctor()
  • Available Scale Conversions
  • Box-Cox Transformation Example 1
  • Box-Cox Transformation Example 2
  • Data Fraction Usage
    • Retaining a Sample for Analysis
  • Logit Transformation Example
  • Plain Outliers Example
    • Observed Outliers Sans Cutoffs
    • Treated Outliers With Cutoffs
  • RobustScaler Outliers Examples
• Stacked Crosstab Plots
  • stacked_crosstab_plot()
  • Stacked Bar Plots With Crosstabs Example
  • Pivoted Stacked Bar Plots Example
  • Non-Normalized Stacked Bar Plots Example
  • Regular Non-Stacked Bar Plots Example
• Box and Violin Plots
  • box_violin_plot()
  • Box Plots Grid Example
  • Violin Plots Grid Example
  • Pivoted Violin Plots Grid Example
• Scatter Plots and Best Fit Lines
  • Scatter Fit Plot
    • scatter_fit_plot()
    • Regression-Centric Scatter Plots Example
    • Scatter Plots Grouped by Category Example
    • Scatter Plots (All Combinations Example)
    • Scatter Plots: Excluding Specific Combinations
      • Example 1
      • Example 2
• Correlation Matrices
  • flex_corr_matrix()
  • Triangular Correlation Matrix Example
  • Full Correlation Matrix Example
• Partial Dependence Plots
  • 2D Partial Dependence Plots
    • plot_2d_pdp()
    • 2D Plots - CA Housing Example
  • 3D Partial Dependence Plots
    • plot_3d_pdp()
    • 3D Plots - CA Housing Example
    • Static Plot
    • Interactive Plot

About EDA Toolkit

• ASCII Art
  • Overview
  • Features
  • ASCII Art Collection
    • print_art()
  • Examples
• Acknowledgements
• Contributors/Maintainers
• Citing EDA Toolkit
• Changelog
  • Version 0.0.15
    • Scatter Plot Function Updates
      • Avoid In-Place Modification of exclude_combinations
      • Improve Progress Tracking and Resolve Last Plot Saving Issue
      • Updated tqdm Saving Logic in scatter_fit_plot
  • Version 0.0.14
    • Ensure Crosstabs Dictionary is Populated with return_dict=True
    • Enhancements and Fixes for scatter_fit_plot Function
    • Fix Default Title and Filename Handling in flex_corr_matrix
  • Version 0.0.13
    • Add ValueError for Insufficient Pool Size in add_ids and Enhance ID Deduplication
    • Enhance strip_trailing_period to Support Strings and Mixed Data Types
    • Changes in stacked_crosstab_plot
    • Add Environment Detection to dataframe_columns Function
    • Add tqdm Progress Bar to dataframe_columns Function
    • Other Enhancements and Fixes
  • Version 0.0.12
    • New Features
    • Improvements
  • Version 0.0.11
  • Version 0.0.10
  • Version 0.0.9
  • Version 0.0.8
  • Version 0.0.8c
  • Version 0.0.8b
  • Version 0.0.8a
  • Version 0.0.7
  • Version 0.0.6
  • Version 0.0.5
  • Version 0.0.4
  • Version 0.0.3
  • Version 0.0.2
  • Version 0.0.1rc0
  • Version 0.0.1b0
  • Version 0.0.1b0
  • Version 0.0.1b0
  • Version 0.0.1b0
• References