# Practice 6 Boxplots with R

## 6.1 Directions

In this practice exercise, you will load data into R, and create a boxplot

## 6.2 R code used in the VoiceThread

# Loads the tidyverse package
library(tidyverse)
colors <- c("#FFFFFF","#F5FCC2","#E0ED87","#CCDE57","#B3C732","#94A813","#718200")

# Boxplot in base R
boxplot(data$price) # Boxplot in ggplot2 data %>% ggplot(aes(y = price)) + geom_boxplot() + theme(axis.text.x = element_blank(), axis.ticks.x = element_blank()) # Side-by-side boxplots in base R boxplot(data$price ~ data\$color)

# Side-by-side boxplots in ggplot2
data %>% ggplot(aes(x = color, y = price, fill = color)) +
geom_boxplot() +
scale_fill_manual(values = colors)

## 6.3 Now you try

Use R to complete the following activities (this is just for practice you do not need to turn anything in).

1. Plot a histogram of mpg from the mtcars dataset.
2. Plot a histogram of mpg from the mtcars dataset using 10 bins.
3. BONUS: Use xlim = c(0,40) to make the 10 bin histogram fit the axis better.

### R Code Window

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