This package can be used to classify salesmen on its performance of total sale and total unsold with two different groups.
In easy words let’s say we want to see performance (good and bad) salesman for urban market, rural market, and here we can use this package by passing a dataframe, column name of salesman id, column name of saleflag (indicating 0 for unsold and 1 for sold), column name of grouping column (having only two unique values or levels).
By default, By calling the chi_test() method we can get the Top 30 percentage and Bottom 30 percentage salesman.
We can change this top and bottom percentage by passing argument inside this chi_test() method.
We are using chi square test, a statistical method which indicates performance quality.
You can get the description by reading the readme.md file from my github. link of github:
https://github.com/bhargabganguli/bhargabchipkg.git
Here you can find
how to install
how to create object and use the method
how to call the method and print the output
Release files for bhargabchipkg 0.1.0
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Release files / bhargabchipkg-0.1.0.tar.gz
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