How to Make Boxplots in R

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DataDaft

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53,300

Published on October 29, 2019 6:08:39 PM ● Video Link: https://www.youtube.com/watch?v=8h_ms3ElCrg

Category:

Tutorial

Duration: 2:54

2,657 views

24

Boxplots provide a visual representation of the distribution of numeric variables that include key values such as the median, 25th and 75th percentiles. Side-by-side boxplots let you break plots out by a second categorical variable to compare differences across groups.

#Rprogramming #Datavizualization #ggplot2

Code used in this clip:

library(tidyverse)

data ＜- diamonds
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)



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