How to Make Violin Plots in R

Channel:

DataDaft

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53,300

Published on November 1, 2019 6:28:10 PM ● Video Link: https://www.youtube.com/watch?v=yceOyNI7Pfo

Category:

Tutorial

Duration: 3:03

10,715 views

166

Violin plots are a hybrid of density plots and box plots that can help you get a sense of the distribution of variables.

#ggplot2 #datavizualization #rprogramming

Code used in this code clip:

library(tidyverse)
library(plotly)
library(IRdisplay)

data ＜- diamonds

colors ＜- c("#FFFFFF","#F5FCC2","#E0ED87","#CCDE57",
"#B3C732","#94A813","#718200")

# Violin plot with ggplot2
data %＞% ggplot(aes(x="", y = carat)) +
geom_violin() +
geom_boxplot(width=0.1) +
theme(axis.title.x = element_blank())

# Side by side violin plot with ggplot2
data %＞% ggplot(aes(x=color, y = carat, fill = color)) +
geom_violin(draw_quantiles = TRUE) +
geom_boxplot(width = 0.05) +
theme(axis.title.x = element_blank()) +
scale_fill_manual(values = colors)

# Violin plot with plotly
p ＜- data %＞% plot_ly(x = "", y = ~carat, type = 'violin',
box = list(visible = TRUE, width = 0.2))

htmlwidgets::saveWidget(p, "p.html")
display_html('＜iframe src="p.html" width=600 height=600 frameborder="0"＞＜/iframe＞')


# Code for creating the plot outside a notebook environment with a plotly account:
# Sys.setenv("plotly_username"="yourusername")
# Sys.setenv("plotly_api_key"="yourapikey")
# chart_link ＜- api_create(p, filename="violin_test")
# chart_link



Code Clips are basic code explanations in 3 minutes or less. They are intended to be short reference guides that provide quick breakdowns and copy/paste access to code needed to accomplish common data science tasks. Think Stack Overflow with a video explanation.


* Note: YouTube does not allow greater than or less than symbols in the text description, so the code above may not be exactly the same as the code shown in the video! For R that means I may use = for assignment and the special Unicode large ＜ and ＞ symbols in place of the standard sized ones for dplyr pipes and comparisons. These special symbols should work as expected for R code on Windows, but may need to be replaced with standard greater than and less than symbols for other operating systems.