/Data_Science-EDA

A collection of useful implementations to perform EDA on a new dataset in order to understand preliminary patterns in the dataset and gain a high-level grasp of the dataset using plots and visualizations.

Primary LanguageJupyter Notebook

Exploratory Data Analysis on Python

A collection of useful implementations to perform EDA on a new dataset in order to understand preliminary patterns in the dataset and gain a high-level grasp of the dataset using plots and visualizations

Python Version : 3.6.8 Virtual Environment : Anaconda 4.8.2

Topics for Reference

  • Exploratory Data Analysis

    1. QQplot
    2. BoxCoxTransform