How to create a pie chart using plotly in R?
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How to create a pie chart using plotly in R?

How to create a pie chart using plotly in R?

This recipe helps you create a pie chart using plotly in R

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Recipe Objective

A pie-chart is pictorial representation of categorical variable and it's numerical constituent in the form of a circle. The circle is divided into sectors that indicates a certain proportion of the whole. We prefer to use pie chart when there are less than 5 categories that needs to be compared. ​

In this recipe we are going to use Plotly package to plot the required pie-chart. Plotly package provides an interface to the plotly javascript library allowing us to create interactive web-based graphics entrirely in R. Plots created by plotly works in multiple format such as: ​

  1. R Markdown Documents
  2. Shiny apps - deploying on the web
  3. Windows viewer

Plotly has been actively developed and supported by it's community. ​

This recipe demonstrates how to plot a pie-chart in R using plotly package. ​

STEP 1: Loading required library and dataset

We will use an example of Expenses made by a student

# Data manipulation package library(tidyverse) # plotly package for data visualisation install.packages("plotly") library(plotly) # Type of expense type_of_expense = c('Rent', 'Grocery', 'Transport') # Amount Amount_USD = c(7000, 3500, 900) #creating a dataframe df = data.frame(type_of_expense,Amount_USD)
Observations: 200
Variables: 3
$ Age                     19, 21, 20, 23, 31, 22, 35, 23, 64, 30, 67, 35…
$ Annual.Income..k..      15, 15, 16, 16, 17, 17, 18, 18, 19, 19, 19, 19…
$ Spending.Score..1.100.  39, 81, 6, 77, 40, 76, 6, 94, 3, 72, 14, 99, 1…

STEP 2: Plotting a pie chart using Plotly

We use the plot_ly() function to plot a pie chart.

Syntax: plot_ly( data = , labels = , values = , type = "pie", textinfo = "label+percent", insidetextorientation = "radial" )

Where:

  1. data = dataframe to be used
  2. labels = unique names of the categorical variable
  3. values = Corresponding values of the categories
  4. type = type of chart (in our case "pie")
  5. textinfo = information to be appeared on the section as labels
  6. insidetextorientation = indicates the alignment of the text

Note:

  1. The %>% sign in the syntax earlier makes the code more readable and enables R to read further code without breaking it.
  2. We also use layout() function to give a title to the graph
fig <- plot_ly(data = df, labels = ~type_of_expense, values = ~Amount_USD, type = "pie", textinfo = "label+percent", insidetextorientation = "radial") %>% layout(title = 'Pie Chart using Plotly') embed_notebook(fig)

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