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# Free Books

### Intro

* [R for Data Science](https://r4ds.had.co.nz/) by Garrett Grolemund and Hadley Wickham

### Data Viz

* [ggplot2: Elegant Graphics for Data Analysis](https://ggplot2-book.org/) by Hadley Wickham
* [Data Visualization - A practical introduction](http://socviz.co/index.html#preface) by Kieran Healy

### *down

* [R Markdown: The Definitive Guide](https://bookdown.org/yihui/rmarkdown/) by Yihui Xie, J. J. Allaire, and Garrett Grolemund
* [blogdown: Creating Websites with R Markdown](https://bookdown.org/yihui/blogdown/) by Yihui Xie, Amber Thomas, and Alison Presmanes Hill
* [bookdown: Authoring Books and Technical Documents with R Markdown](https://bookdown.org/yihui/bookdown/) by Yihui Xie

### Statistics

* [Learning Statistics with R](https://learningstatisticswithr.com/) by Danielle Navarro
* [Introduction to Econometrics with R](https://www.econometrics-with-r.org/) by Christoph Hanck, Martin Arnold, Alexander Gerber and Martin Schmelzer
* [An Introduction to Bayesian Thinking](https://statswithr.github.io/book/) by Merlise Clyde et. al.
* [Statistical Inference via Data Science](https://moderndive.com/index.html) by Chester Ismay and Albert Y. Kim

### Machine Learning

* [Hands-On Machine Learning with R](https://bradleyboehmke.github.io/HOML/) by Bradley Boehmke & Brandon Greenwell
* [Feature Engineering and Selection: A Practical Approach for Predictive Models](http://www.feat.engineering/) by Max Kuhn and Kjell Johnson

### Mapping and Geospatial Analysis

* [Geocomputation with R](https://geocompr.robinlovelace.net/) by Robin Lovelace, Jakub Nowosad, Jannes Muenchow

### Text Analysis

* [Text Mining with R A Tidy Approach](https://www.tidytextmining.com/) by Julia Silge and David Robinson

### Programming

* [Advanced R](https://adv-r.hadley.nz/) by Hadley Wickham
* [R Packages](https://r-pkgs.org/) by Hadley Wickham
* [Master Spark with R](https://therinspark.com/) by Javier Luraschi, Kevin Kuo, and Edgar Ruiz
* [Functional programming and unit testing for data munging with R](https://b-rodrigues.github.io/fput/) by Bruno Rodrigues

# Websites

* [RStudio Essentials](https://resources.rstudio.com/)
* [RStudio Education](https://education.rstudio.com/)
* [R Cheat Sheets](https://rstudio.com/resources/cheatsheets/)
* Andrew Heiss' free [Data Viz Course](https://datavizm20.classes.andrewheiss.com/)