---
layout: post
title: "Modifying the appearance of text in an R figure with ggplot2's theme function (CC147)"
blurb: "Everything you'd ever want to know about modifying appearance of text in a ggplot2 figure"
author: "PD Schloss"
date: 2021-09-20 11:00
comments: false
youtube: z7Ci9NN3LUc
start_hash: 3f39b9e09618144874ced760c9a6332498e3a19c
end_hash: 375053f09addb89ad41ab3ff450a5de6233849b9
---

Ever wonder how to change the appearance of the text in a figure generated in R? This is your video! Pat will use the labs and theme functions from ggplot2 and show you everything you'd ever want to know about formatting the titles and axis labels of your figures using element_text, element_markdown, and element_textbox_simple. The data depict the percentage of people in 15 countries who would be willing to receive the COVID-19 vaccine as of August and October of 2020.

Pat uses functions from the tidyverse including the `element_text`, `element_markdown`, and `element_textbox_simple` functions from the `ggplot2` and `ggtext` packages in #RStudio.

<iframe style="margin: 0 auto;display:block;" width="560" height="315" src="https://www.youtube.com/embed/{{ page.youtube }}" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>


## Code

You can browse the state of the repository at the
* [beginning of the episode](https://github.com/riffomonas/vaccination_attitudes/tree/{{ page.start_hash }})
* [end of the episode](https://github.com/riffomonas/vaccination_attitudes/tree/{{ page.end_hash }})



### Data

The `august_october_2020.csv` data is available in the [GitHub repository](https://raw.githubusercontent.com/riffomonas/vaccination_attitudes/3f39b9e09618144874ced760c9a6332498e3a19c/august_october_2020.csv).

```
X.1,Total Agree - August 2020,Total Agree - October 2020
Total,77,73
India,87,87
China,97,85
South Korea,84,83
Brazil,88,81
Australia,88,79
United Kingdom,85,79
Mexico,75,78
Canada,76,76
Germany,67,69
Japan,75,69
South Africa,64,68
Italy,67,65
Spain,72,64
United States,67,64
France,59,54
```
