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)
c("#FFFFFF","#F5FCC2","#E0ED87","#CCDE57","#B3C732","#94A813","#718200")
colors <-
# Boxplot in base R
boxplot(data$price)
# Boxplot in ggplot2
%>% ggplot(aes(y = price)) +
data geom_boxplot() +
theme(axis.text.x = element_blank(),
axis.ticks.x = element_blank())
# Side-by-side boxplots in base R
boxplot(data$price ~ data$color)
# Side-by-side boxplots in ggplot2
%>% ggplot(aes(x = color, y = price, fill = color)) +
data 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).
- Plot a histogram of mpg from the mtcars dataset.
- Plot a histogram of mpg from the mtcars dataset using 10 bins.
- BONUS: Use
xlim = c(0,40)
to make the 10 bin histogram fit the axis better.
R Code Window
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