A package for advanced level variabe ananlysis and reduction for pandas dataframe
Project description
#advanced_analysis_package
This is a python package to perform analysis , outlier treatment and variable reduction on pandas dataframe. List of functions include:-
analyze - a. edd - replica of sas edd maco with new features of coelation and p values when dependent variable is given.return a pandas dataframe. b. graphical_analysis - gives bivariate ananlysis of variable with respect to dependent variable. Display and saves plots and tables at equied path. c. numerical_categorical_division - return list of numeric and categoical variables in pandas dataframe variable_treatment a. exponential_smoothning - outlier treatment for variable b.capping_and_flooring - outlier teatment for variable c.make_dummies - create dummies for categorical variable(one hot encoding) d.make_dummies_binary - create binary dummies for variable variable_reduction a. inter_correlation_clusters - return clusters of variables based on cutoff correlation b. varclus - return list of columns 1 from each cluster c. vif_reduction - return list of columns to be dropped by vif_eduction method d. backward_selection - returns list of columns to be dropped by backwad selection
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for advanced_analysis_package-0.0.2.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 36385a2e20a2390054a13ab9a817a38fd9413c834b1b3316726f44848d22fb20 |
|
MD5 | f23183eb56734e3beaad6aec4fcc1f0f |
|
BLAKE2b-256 | 4e673686fcb938cd3d2e1803fc3a7fa0d6d54fd7fcd7868062103013abf23aa8 |
Hashes for advanced_analysis_package-0.0.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b1b3662b52542334d6b38225b97714df613dd5f05fb047bfda0302c51c70a08a |
|
MD5 | d85a94084c648233fa88b370d54b724b |
|
BLAKE2b-256 | 6a3208216bd4949250364e19a61122381af74ad2f58bc4be3fd5890d4610213c |