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Automated exploratory data analysis
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README.md

autoEDA - Automated exploratory data analysis

Introduction

autoEDA 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("XanderHorn/autoEDA")

library(autoEDA)

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.

regression

Categorical outcome (Classification problems)

Example plots for a classification problem.

classification

Univariate analysis

univariate

Plot types

Categorical plot types:

categorical

Continuous plot types:

continuous

Themes

Available color themes.

themes

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