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https://github.com/XanderHorn/autoEDA

Automated exploratory data analysis
https://github.com/XanderHorn/autoEDA

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Automated exploratory data analysis

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# 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](https://user-images.githubusercontent.com/13403428/38305927-fc5e91f6-380e-11e8-9e20-7bd866a034a5.PNG)

### Categorical outcome (Classification problems)

Example plots for a classification problem.

![classification](https://user-images.githubusercontent.com/13403428/38305997-4e389af8-380f-11e8-9b22-8e09e65abeb4.PNG)

### Univariate analysis

![univariate](https://user-images.githubusercontent.com/13403428/38306048-895d1a14-380f-11e8-965d-5459b54993b7.PNG)

### Plot types

Categorical plot types:

![categorical](https://user-images.githubusercontent.com/13403428/38306076-9bce2ec2-380f-11e8-99d9-87c8ee27c0da.PNG)

Continuous plot types:

![continuous](https://user-images.githubusercontent.com/13403428/38306084-a2cc7058-380f-11e8-9ec0-16cc014e3130.PNG)

### Themes

Available color themes.

![themes](https://user-images.githubusercontent.com/13403428/38306099-b0e2324a-380f-11e8-8753-b98523af115e.PNG)