This project implements in Python some common statistical analysis methods used in data analysis, including Entropy, Mutual Information, Kolmogorov–Smirnov test, Kullback-Leibler divergence (KLD), AB tests (Mann-Whitney U and t-tests)

Perform ab testing on grocery website to check user interactions on the UI changes of the website

Analyzing Fater company's diaper market potential and enhancing revenue estimation for Naples stores: A Socio-Demographic, Territorial, and Points of Interest Perspective

To evaluate different implementations of an in-app currency feature with ABC Analysis

Nonparametric test and R code

Data for publication on how juvenile house crickets adjust adult calling songs and aggressive behaviors based on developmental exposure to population density, potentially adopting alternative mating tactics to maximize success in varying social environments.