segdiff.py / bucketize.py: process the data and identify the level of difference between two segments

regression.py / linear_regression.py / multi_regression.py: apply the appropriate type of regression analysis on a dataset, according to whether the output variable is numerical or categorical

clustering.py: apply k-modes clustering

correlation.py: find correlation between two variables, using pearson-r score or point-biserial r-test depending on the types

chisquare.py: find p-value for relationship between two categorical variables using chi-square test

multicollinearity.py: identify if there are dependent variables within a given dataset