GenderPayGap

Provides methods to automate the Gender Pay Gap analysis. It performs the exploratory data analysis and data modeling to obtain the Salary Gap Decomposition, the Adjusted Gender Pay Gap and the significant variable coefficients.

More info at: https://medium.com/@fxangulo/an-employers-module-for-gender-pay-gap-analysis-4a13f61a7df1

Description

This module provides methods to automate the Gender Pay Gap analysis. It performs the exploratory data analysis and data modeling to obtain the Salary Gap Decomposition, the Adjusted Gender Pay Gap and the significant variable coefficients.

Module content

CLASS

• GenderPayGap(df, bifurcate, salary, df_dummy=None, df_significant=None, swap=False)

METHODS

• exploratory_data_analysis(self, polyn=2)
• poly_plot(self, polyn=2)
• prepare_data (self, max_unique=45, column_to_exp='', exponent=2, column_to_log='', log_function='log2', drop_original=True)
• select_significant (self, p_limit=0.05, to_drop='')
• plot_coefficients (self)
• avg_decomposition(self, width=None, height=None)
• gap_decomposition(self, width=None, height=None)
• gap_summary(self)
• correlation_matrix (self, df=None)