How To Draw Pie Chart In R

ggplot2 pie nautical chart : Quick start guide - R software and data visualization

• Simple pie charts
• Alter the pie chart fill colors
• Create a pie chart from a factor variable
• Customized pie charts
• Infos

This R tutorial describes how to create a pie chart for information visualization using R software and ggplot2 package.

The office coord_polar() is used to produce a pie chart, which is but a stacked bar chart in polar coordinates.

Simple pie charts

Create some data :

                df <- data.frame(   group = c("Male", "Female", "Child"),   value = c(25, 25, 50)   ) caput(df)              

                ##    group value ## 1   Male person    25 ## ii Female    25 ## 3  Child    50              

Employ a barplot to visualize the data :

                library(ggplot2) # Barplot bp<- ggplot(df, aes(x="", y=value, make full=group))+ geom_bar(width = 1, stat = "identity") bp              

Create a pie chart :

                pie <- bp + coord_polar("y", first=0) pie              

Change the pie nautical chart fill colors

It is possible to change manually the pie chart make full colors using the functions :

• scale_fill_manual() : to apply custom colors
• scale_fill_brewer() : to use color palettes from RColorBrewer bundle
• scale_fill_grey() : to use grey color palettes

                # Use custom color palettes pie + scale_fill_manual(values=c("#999999", "#E69F00", "#56B4E9"))              

                # use brewer color palettes pie + scale_fill_brewer(palette="Dark2")              

                pie + scale_fill_brewer(palette="Blues")+   theme_minimal()              

                # Use gray calibration pie + scale_fill_grey() + theme_minimal()              

Read more on ggplot2 colors here : ggplot2 colors

Create a pie chart from a cistron variable

PlantGrowth data is used :

                caput(PlantGrowth)              

                ##   weight group ## one   four.17  ctrl ## 2   5.58  ctrl ## iii   5.xviii  ctrl ## 4   six.11  ctrl ## 5   four.l  ctrl ## half-dozen   iv.61  ctrl              

Create the pie chart of the count of observations in each group :

                ggplot(PlantGrowth, aes(x=cistron(1), fill=group))+   geom_bar(width = 1)+   coord_polar("y")              

Customized pie charts

Create a bare theme :

                blank_theme <- theme_minimal()+   theme(   axis.championship.x = element_blank(),   axis.title.y = element_blank(),   console.border = element_blank(),   panel.filigree=element_blank(),   axis.ticks = element_blank(),   plot.title=element_text(size=14, confront="bold")   )              

1. Apply the blank theme
2. Remove axis tick marking labels
3. Add text annotations : The parcel scales is used to format the labels in percent

                # Use bare theme library(scales) pie + scale_fill_grey() +  blank_theme +   theme(centrality.text.x=element_blank()) +   geom_text(aes(y = value/3 + c(0, cumsum(value)[-length(value)]),              label = per centum(value/100)), size=v)              

                # Use brewer palette pie + scale_fill_brewer("Dejection") + blank_theme +   theme(axis.text.x=element_blank())+   geom_text(aes(y = value/3 + c(0, cumsum(value)[-length(value)]),                  characterization = percent(value/100)), size=v)              

Infos

This analysis has been performed using R software (ver. three.1.2) and ggplot2 (ver. 1.0.0)

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Source: http://www.sthda.com/english/wiki/ggplot2-pie-chart-quick-start-guide-r-software-and-data-visualization

Posted by: uptongramemptere.blogspot.com

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