xplore

Exploratory Data Analysis toolkit for Pandas tables.

xplore is a python package that aims to make Exploratory Data Analysis (EDA) a bit easier. EDA, in case you are asking, is the process of investigating a dataset in order to develop an intiution that will help during subsequent steps. Basically, xplore contains wrappers for routine functions for data cleaning, feature transformations and visualizations. Importantly, the library also support a primitive versioning functionality that aims to (1) make EDA more reproducable and (2) compare between different preprocessing scenarios.

Requirements

pandas, numpy, sklearn, matplotlib, seaborn and pickle.

Setup

git clone https://github.com/fahd09/xplore.git
cd xplore/
>>> from xplore import Xplorer            # inside your python file

Usage

For now, please refer to the examples folder that contains two notebooks on how to use and navigate this package. Later on, more descriptive scenarios will be added to this section.

Contribute

Pull requests for adding new features or fixing any bugs are engouraged! Also, if you are thinking of a new feature (or found a bug), please don't hesitate to submit a new issue.