How to Create Radar Charts in R?

In this article, we are going to see how to create Radar Charts in R Programming Language.

Radar charts are also known as Spider or Web or Polar charts. It is a graphical graph to display multivariate data in form of 2D charts of three or more quantitative variables which are represented on axes starting from the same point

Dataset in use:

  Mumbai Tamil Noida Kerala Patna Assam Ranchi Bhopal Delhi Indore

1     39    39    39    39    39    39     39     39    39     39

2      0     0     0     0     0     0      0      0     0      0

3      2     7     5     5     9    18      7      7    10     19

fmsb package is Several utility functions and it has radarchar() methods to create radar chart in R.

To install the package:

install.packages( fmsb )

Creating a Basic Radar chart in R

Here we will display the basic radar chart using radarchart() methods. For this, we will pass the created dataframe.

Syntax: radarchart(df, cglty, cglcol, cglwd, pcol, plwd)     

Parameters:

• df is a dataframe
• pcol attributes is used to change the color of the Polygon line.
• plwd attributes is used to increase or decrease the line width of the Polygon.
• cglcol is used to draw color of the net
• cglwd is for net width

Example: Basic Radar Chart

R

data <- as.data.frame(matrix( sample( 2:20 , 10 ,
                                     replace=T) ,
                             ncol=10))

colnames(data) <- c("Mumbai" , "Tamil" , "Noida" ,
                    "Kerala" , "Patna", "Assam" ,
                    "Ranchi" , "Bhopal", "Delhi",
                    "Indore" )

data <- rbind(rep(39,10) , rep(0,10) , data)

# Library
library(fmsb)

# The default radar chart
radarchart(data)

Output:

Line Color Customization

pcol attributes are used to change the color of the Polygon line.

Example: Line color customization

R

data <- as.data.frame(matrix( sample( 2:20 , 10 ,
                                     replace=T) ,
                             ncol=10))

colnames(data) <- c("Mumbai" , "Tamil" , "Noida" ,
                    "Kerala" , "Patna", "Assam" ,
                    "Ranchi" , "Bhopal", "Delhi",
                    "Indore" )

data <- rbind(rep(39,10) , rep(0,10) , data)

radarchart(data, pcol = "Green")

Output:

Fill Color into Polygon

pfcol attributes is used to fill the color of the Polygon.

Example: Fill color

R

data <- as.data.frame(matrix( sample( 2:20 , 10 ,
                                     replace=T) ,
                             ncol=10))

colnames(data) <- c("Mumbai" , "Tamil" , "Noida" ,
                    "Kerala" , "Patna", "Assam" ,
                    "Ranchi" , "Bhopal", "Delhi",
                    "Indore" )

data <- rbind(rep(39,10) , rep(0,10) , data)

# Library
library(fmsb)

radarchart(data, pfcol = "Green")

Output:

Change the line width

plwd attributes is used to increase or decrease the line width of the Polygon.

Example: Change line width

R

data <- as.data.frame(matrix( sample( 2:20 , 10 ,
                                     replace=T) ,
                             ncol=10))

colnames(data) <- c("Mumbai" , "Tamil" , "Noida" ,
                    "Kerala" , "Patna", "Assam" ,
                    "Ranchi" , "Bhopal", "Delhi",
                    "Indore" )

data <- rbind(rep(39,10) , rep(0,10) , data)

# Library
library(fmsb)

radarchart(data, plwd = 3)

Output:

Grid Features in radarchart

Following attributes are used for Grids:

• cglcol is used to draw the color of the net
• cglty is for get  net line type
• axislabcol is for the color of axis labels
• caxislabels is for the vector of axis labels to display
• cglwd is for net width

Example: Grid features

R

data <- as.data.frame(matrix( sample( 2:20 , 10 ,
                                     replace=T) ,
                             ncol=10))

colnames(data) <- c("Mumbai" , "Tamil" , "Noida" ,
                    "Kerala" , "Patna", "Assam" ,
                    "Ranchi" , "Bhopal", "Delhi",
                    "Indore" )

data <- rbind(rep(39,10) , rep(0,10) , data)

# Library
library(fmsb)

radarchart(data,
           cglcol="Blue", cglty=10, axislabcol="grey",
           caxislabels=seq(0,20,5), cglwd=0.8)

Output: