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index.Rmd
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---
title: "R Without Statistics"
author: "David Keyes"
# date: "`r Sys.Date()`"
site: bookdown::bookdown_site
documentclass: book
url: https://book.rwithoutstatistics.com
cover-image: mock-cover.png
description: |
Since R was invented in 1993, it has become a widely used programming language for statistical analysis. From academia to the tech world and beyond, R is used for a wide range of statistical analysis. R Without Statistics will show ways that R can be used beyond complex statistical analysis. Readers will learn about a range of uses for R, many of which they have likely never even considered.
biblio-style: apalike
---
# About the Book {-}
<img src="mock-cover.png" class="cover" width="250" height="328"/>This is the in-progress version of *R Without Statistics*, a forthcoming book from [No Starch Press](https://www.nostarch.com/).
<hr>
Since R was invented in 1993, it has become a widely used programming language for statistical analysis. From academia to the tech world and beyond, R is used for a wide range of statistical analysis.
R's ubiquity in the world of statistics leads many to assume that it is only useful to those who do complex statistical work. But as R has grown in popularity, the number of ways it can be used has grown as well. Today, R is used for:
- Data visualization
- Map making
- Sharing results through reports, slides, and websites
- Automating processes
- And much more!
The idea that R is only for statistical analysis is outdated and inaccurate. But, without a single book that demonstrates the power of R for non-statistical purposes, this perception persists.
**Enter R Without Statistics.**
R Without Statistics will show ways that R can be used beyond complex statistical analysis. Readers will learn about a range of uses for R, many of which they have likely never even considered.
Each chapter will, using a consistent format, cover one novel way of using R.
1. Readers will first be introduced to an R user who has done something novel and learn how using R in this way transformed their work.
2. Following this, there will be code samples that demonstrate exactly how the R user did the thing they are being profiled for.
3. Finally, there will be a summary, with lessons learned from this novel way of using R.
Written by David Keyes, Founder and CEO of [R for the Rest of Us](https://rfortherestofus.com/), R Without Statistics will be published by [No Starch Press](https://nostarch.com/).