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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```
# DataAnalysisTools
[![Travis-CI Build Sta3tus](https://travis-ci.org/julianbarg/DataAnalysisTools.png?branch=master)](https://travis-ci.org/julianbarg/DataAnalysisTools)
[![Coverage Status](https://coveralls.io/repos/github/julianbarg/DataAnalysisTools/badge.svg?branch=master&service=github&ts=1)](https://coveralls.io/github/julianbarg/DataAnalysisTools?branch=master&service=github&ts=1)
[![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/julianbarg/DataAnalysisTools?branch=master&svg=true)](https://ci.appveyor.com/project/julianbarg/DataAnalysisTools)
Convenient and simple data analysis tools for day-to-day use. Mostly to get a first look at data attributes. Output is usually structured to allow for rowbinding, to allow for comparison of different data sets or subsets/versions.
## Installation
You can install DataAnalysisTools from github with:
```{r gh-installation, eval = FALSE}
# install.packages("devtools")
devtools::install_github("julianbarg/DataAnalysisTools")
```
## Example
The functions in DataAnalysisTools cover everyday tasks carried out by data scientists and provide for easy-to-read code from the get-go.
```{r example}
build_NA <- DataAnalysisTools::build_NA
NA1 <- build_NA(mtcars)
NA2 <- build_NA(cars)
NA_statistics <- rbind(NA1, NA2)
NA_statistics
```