Pie Chart in R

Introduction to Pie Charts in R

Data visualization is an important way to extract information from data and out of several visualization methods, the pie chart in R has its own application and advantages. Pie charts are used to show value distribution among many items in terms of proportion or percentage. For example, let’s assume that there is a company called ABC Chemicals that invests its resources in manufacturing 5 different types of chemicals. Let’s call these chemicals AB1, AB2, AB3, AB4 and AB5 and out of the total amount of chemical produced in the year 2018 which is 300MT, AB1 was produced 90MT, AB2 was produced 50MT, AB3 was produced 100MT, AB4 was produced 40MT and AB5 was produced 20MT. Now, we want to intuitively understand this data in the form of some chart then we can use Pie chart to depict this information.

Using the pie charts, patterns in the data can be understood easily whereas if we go through the numeric figure, often understanding takes a while. For example, if we plot the above example as a pie chart, we can understand the amount of production and proportion of production within a minute.

There are various packages for plotting pie charts in R and among those many options, we shall focus on two methods in this article.

Syntax

The above section provided a brief idea of the pie chart and its use. In this section, we shall learn about pie charts in R specifically. For those who are new to R, it is a programming language mainly used for data analysis and machine learning. R is quite rich in its functionality and provides hundreds of libraries for various use cases.

In R, the pie chart can be created by using a simple in-built function and the syntax for the same is given below.

pie(x, labels, radius, main, col, clockwise)

Where,

x is a called a vector and it contains the numeric values which are to be used in the pie chart such as those production figures in the above example.

labels take a name for those values in X such as the name of chemicals.

radius argument is for the radius of the circle of the pie chart. Its typical value lies between −1 and +1.

the main argument can be used to provide the title of the chart.

col argument can be used to provide the colors to chart.

clockwise is a logical value that takes either True or False indicating if the slices of charts are drawn in a clockwise or anti-clockwise manner.

Note that X is a mandatory argument and rest all are optional.

How to create a pie chart in R?

Now, that we understood the syntax of the pie chart as well, let’s build a pie chart. For this, we will again use the same example in the introduction section above.

First of all, let’s convert the example above in the form of a table for easy understanding.

First, we use the following two lines of R code to convert the table above into two vectors, one for the name of the chemical and other for the volume of chemical.

Now, we plot a simple pie chart by only providing the x value in the syntax above.

chem <- c(“AB1″,”AB2″,”AB3″,”AB4″,”AB5”)

vol <- c(90,50,100,40,20)

pie(vol)

Its output is the figure below.

If you observe the output, it is not very clear as to what is represented by what. So to make it more intuitive, we input a few more argument in the pie function and run again.

chem <- c(“AB1″,”AB2″,”AB3″,”AB4″,”AB5”)

vol <- c(90,50,100,40,20)

pie(x=vol, labels = chem, radius = 1,main = “Pie chart for chemical production”, clockwise = T)

This picture is better to understand as it contains the name of the chemicals as well as a title. Please note the color scheme in both of these charts are coming by default which we can change as per our need or wish. We will do that in the section below.

How to change pie charts and fill color?

In this section, let’s learn how can be a change pie chart.

First, let’s show the amount of chemical in the chart instead of the name of chemicals.

pie(x=vol, labels = vol, radius = 1,main = “Pie chart for chemical production”, clockwise = T)

Run it yourself and see the output.

Next, lets change the color of the charts.

chem <- c(“AB1″,”AB2″,”AB3″,”AB4″,”AB5”)

vol <- c(90,50,100,40,20)

pie(x=vol, labels = chem, radius = 1,main = “Pie chart for chemical production”, col=c(“red”,”blue”,”green”,”black”,”yellow”),clockwise = T)

Here we specified the colors that we want. The output is as below.

How to create a 3D pie chart?

In this section, we will learn how to build a 3D pie chart in R. for building a 3d pie chart, we need to install a library first as it can not be done from basic inbuilt function.

You should install the library plotrix before running the code for the pie chart. To install the library, simply run the following command in R.

Install.packages(“plotrix”)

After that, run the following two lines to get a 3d plot.

chem <- c(“AB1″,”AB2″,”AB3″,”AB4″,”AB5”)

vol <- c(90,50,100,40,20)

library(plotrix)

pie3D(vol,labels = chem,explode = 0.1, main = “Pie Chart for chemicals “)

Conclusion

Pie charts are used a lot and it is very intuitive and informative which I believe is very clear by now. In financial domains and many other sectors too, pie charts are the basic visualization where almost all analysis begins. It is simple yet very powerful. In this article, we provided enough details which should help anyone start with building pie charts with great confidence and ease. Students and learners are also advised to look into the help menu of R where they can learn more details and additional functionalities of pie charts. There is a great visualization package called ggplot2 in R which provides many customization options to pie charts and all other visualization in general, candidates are advised to look into that as well. Finally, if there is any question or further doubt, you can always comment on this article and get in touch for more explanations, examples as well as theoretical discussions.

Recommended Articles

This has been a guide to Pie Chart in R. Here we discussed how to create a pie chart, How to change the pie chart and fill color and How to create a 3D pie chart. You may also look at the following articles to learn more –

1. Pie Chart Examples
2. Binomial Distribution in R
3. Graphs vs Charts
4. Guide To Line Graph in R