P10-data-visualization.Rmd

---
title: "Practice 10 - Data Visualization"
output:
  html_document:
    number_sections: false
    toc: no
---

```{r setup, echo=FALSE, message=FALSE, warning=FALSE}
rm(list=objects()) # start with a clean workspace
source("knitr_setup.R")
```

One of the best tutorials on plotting in R using the **ggplot2** package is Rick Scavetta's [datacamp tutorial](https://www.datacamp.com/courses/data-visualization-with-ggplot2-1). The first chapter is free and covers a lot of excellent material about **ggplot2**. I **strongly** recommend you go through the first introduction chapter of this tutorial.

As a helpful guide, take a look at the [RStudio cheatsheet](https://www.rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf) for **ggplot2**.

# Plotting guides with `ggplot2`

- [RStudio `ggplot2` Cheatsheet](https://www.rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf)
- [Tidyverse `ggplot2` reference guide](https://ggplot2.tidyverse.org/reference/)
- [R Cookbook for `ggplot2`](http://www.cookbook-r.com/Graphs/)
- [Top 50 `ggplot2` visualizations](http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html)
- [ggThemeAssist](https://github.com/calligross/ggthemeassist): Package for customizing plot themes and layout