README.md

In souravbose1991/Auto-EDA: Automated univariate and bivariate exploratory data analysis

Auto-EDA - Automated Exploratory Data Analysis

Introduction

Auto-EDA aims to automate exploratory data analysis in a univariate or bivariate manner. It has the ability to output plots created with the ggplot2 library and themes inspired by RColorBrewer. The main ability involves seemlessly cleaning and pre-processing your data inorder for plots to display adequately.

Installation

install.packages('devtools')

library(devtools)

devtools::install_github("souravbose1991/Auto-EDA")

library(Auto-EDA)

Use

Please refer to the help files for each function.

Examples

Below are some examples of plots produced.

Continuous outcome (Regression problems)

Example plots for a regression problem.

Categorical outcome (Classification problems)

Example plots for a classification problem.

Univariate analysis

Plot types

Categorical plot types:

Continuous plot types:

Themes

Available color themes.

souravbose1991/Auto-EDA documentation built on May 17, 2019, 8:21 a.m.