EDA Toolkit
Getting Started
Welcome to the EDA Toolkit Python Library Documentation!
Description
Theoretical Overview
Gaussian Assumption for Normality
Pearson Correlation Coefficient
Box-Cox Transformation
The Yeo-Johnson Transformation
Median and IQR Scaling
Logit Transformation
Partial Dependence Foundations
Data Management
Data Management Overview
Data Management Techniques
Plotting Heuristics
Creating Effective Visualizations
KDE and Histogram Distribution Plots
Feature Scaling and Outliers
Stacked Crosstab Plots
Box and Violin Plots
Scatter Plots and Best Fit Lines
Correlation Matrices
Partial Dependence Plots
About EDA Toolkit
ASCII Art
Acknowledgements
Contributors/Maintainers
Citing EDA Toolkit
Changelog
References
EDA Toolkit
Index
Index
A
|
B
|
C
|
D
|
E
|
F
|
H
|
K
|
P
|
S
A
add_ids()
built-in function
B
box_violin_plot()
built-in function
built-in function
add_ids()
box_violin_plot()
contingency_table()
data_doctor()
dataframe_columns()
ensure_directory()
flex_corr_matrix()
highlight_columns()
kde_distributions()
parse_date_with_rule()
plot_2d_pdp()
plot_3d_pdp()
print_art()
save_dataframes_to_excel()
scatter_fit_plot()
stacked_crosstab_plot()
strip_trailing_period()
summarize_all_combinations()
C
contingency_table()
built-in function
D
data_doctor()
built-in function
dataframe_columns()
built-in function
E
ensure_directory()
built-in function
F
flex_corr_matrix()
built-in function
H
highlight_columns()
built-in function
K
kde_distributions()
built-in function
P
parse_date_with_rule()
built-in function
plot_2d_pdp()
built-in function
plot_3d_pdp()
built-in function
print_art()
built-in function
S
save_dataframes_to_excel()
built-in function
scatter_fit_plot()
built-in function
stacked_crosstab_plot()
built-in function
strip_trailing_period()
built-in function
summarize_all_combinations()
built-in function