How To Make A Venn Diagram in R
Venn diagrams are plots used to graphically display intersections between two or more groups. In this code clip we learn how to construct Venn diagrams in R using the ggplot2 and VennDiagram packages.
#datavisualization #rprogramming #rstats
Code used in this clip:
Venn diagram with ggplot
library(tidyverse)
library(ggforce) # Adds geom_circle
DataFrame to specify circle and text positions
data ＜- data.frame(x = c(0, 1, -1),
y = c(-0.5, 1, 1),
tx = c(0, 1.5, -1.5),
ty = c(-1, 1.3, 1.3),
cat = c('Domain Experience', 'Math',
'Computer Science'))
Plot circles and text; add annotations for overlapping segments
ggplot(data, aes(x0 = x , y0 = y, r = 1.5, fill = cat)) +
geom_circle(alpha = 0.25, size = 1, color = "black",show.legend = FALSE) +
geom_text(aes(x = tx , y = ty, label = cat), size = 7) +
annotate(geom="text", x=0, y=1.5, label="Machine \n Learning",color="purple", size = 5) +
annotate(geom="text", x=-0.9, y=0, label="Traditional \n Software",color="darkorange", size = 5) +
annotate(geom="text", x=0.9, y=0, label="Traditional \n Research",color="darkgreen", size = 5) +
annotate(geom="text", x=0, y=0.5, label="Data \n Science",color="blue", size = 5) +
theme_void()
Set plot display size
options(repr.plot.height=8, repr.plot.width=8)
Venn diagram with VennDiagram package
Load the VennDiagram package
library(VennDiagram)
set.seed(12)
set1 ＜- sample(1:10000, 2000)
set2 ＜- sample(1:10000, 2000)
set3 ＜- sample(1:10000, 2000)
set4 ＜- sample(1:10000, 2000)
set5 ＜- sample(1:10000, 2000)
colors ＜- c("#6b7fff", "#c3db0f", "#ff4059", "#2cff21", "#de4dff")
Make Venn diagram from list of groups
venn.diagram(x = list(set1, set2, set3, set4, set5) ,
category.names = c("s1", "s2", "s3", "s4", "s5"),
filename = 'datadaft_venn.png',
output=TRUE,
imagetype="png",
scaled = FALSE,
col = "black",
fill = colors,
cat.col = colors,
cat.cex = 2,
margin = 0.15
)
Display saved image
options(repr.plot.height=12, repr.plot.width= 12)
library("png")
pp ＜- readPNG("datadaft_venn.png")
plot.new()
rasterImage(pp,0,0,1.1,1.1)
Resourced used to help make this video:
https://scriptsandstatistics.wordpres...
https://www.r-graph-gallery.com/14-ve...
http://www.di.fc.ul.pt/~jpn/r/Graphic...
Code Clips are basic code explanations intended to be short reference guides that provide quick breakdowns and copy/paste access to code needed to accomplish common data science tasks.
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