01_exercises.Rmd

---
title: "Visualize Data in R with ggplot2"
subtitle: "Exercises"
abstract: "These exercises are adapted in whole or in part based on the <i>Master the Tidyverse</i> work by Garrett Grolemund at RStudio.  \nCC BY Garrett Grolemund, RStudio ; BY-NC John Little"
output: html_notebook
---


<center>[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)</center>

```{r setup}
library(tidyverse)
```

```{r}
mpg
```


## Your Turn 1

Run the code on the slide to make a graph. Pay strict attention to spelling, capitalization, and parentheses!

```{r}

```

## Your Turn 2

Add `color`, `size`, `alpha`, and `shape` aesthetics to your graph. Experiment.  

```{r}
mpg %>% 
  ggplot() +
  geom_point(mapping = aes(x = displ, y = hwy))
```

## Your Turn 3

Replace this scatterplot with one that draws boxplots. Use the cheatsheet. Try your best guess.

```{r}
mpg %>% 
  ggplot() + 
  geom_point(aes(class, hwy))
```

## Your Turn 4

Make a histogram of the `hwy` variable from `mpg`.

```{r}

```

## Your Turn 5

Make a density plot of `hwy` colored by `class`.

```{r}

```

## Your Turn 6

Make a bar chart `hwy` colored by `class`.

```{r}

```

## Your Turn 7

Predict what this code will do. Then run it.

```{r}
mpg %>% 
  ggplot() + 
  geom_point(aes(displ, hwy)) +
  geom_smooth(aes(displ, hwy))
```


## Your Turn 8

Save the last plot

```{r}
ggsave()
# or right-click the image
```