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radarchart
The radarchart
package expects data to be in a format whereby each row corresponds to an axis on the chart (or a Label
) and each column is a set of scores. An example is the built in data set, skills
.
library(radarchart)
skills
## Label Aimee Andy Rich
## 1 Communicator 6 7 9
## 2 Data Wangler 5 6 7
## 3 Modeller 7 6 3
## 4 Programmer 8 6 4
## 5 Technologist 4 2 5
## 6 Visualizer 6 9 7
In many cases your data will have a column for each axis, and each row is a set of observations. In the skills
example we might build up a spreadsheet where each row is a person and each column a skill.
skillsByName
## Name Communicator Data Wangler Modeller Programmer Technologist
## 1 Aimee 6 5 7 8 4
## 2 Andy 7 6 6 6 2
## 3 Rich 9 7 3 4 5
## Visualizer
## 1 6
## 2 9
## 3 7
In order to use this data set with radarchart
we need to rotate it. This can be done with packages such as tidyr
.
library(tidyr)
skillsByLabel <- gather(skillsByName, key=Label, value=Score, -Name) %>%
spread(key=Name, value=Score)
skillsByLabel
## Label Aimee Andy Rich
## 1 Communicator 6 7 9
## 2 Data Wangler 5 6 7
## 3 Modeller 7 6 3
## 4 Programmer 8 6 4
## 5 Technologist 4 2 5
## 6 Visualizer 6 9 7
If you don’t want to have a dependency on tidyr
then you can do the same thing using a few lines of base R
code.
skillsByLabel <- as.data.frame(t(skillsByName[,-1]))
names(skillsByLabel) <- skillsByName$Name
skillsByLabel <- cbind(Label=row.names(skillsByLabel), skillsByLabel)
row.names(skillsByLabel) <- NULL
This rotated data set is now ready for use with radarchart
.
chartJSRadar(scores = skillsByLabel, maxScale = 10)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.