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How to create a scatterplot in base R with points depending on categorical column?
To create a scatterplot in base R with points depending on categorical column, we can follow the below steps −
- First of all, create a data frame.
- Then, use plot function to create the scatterplot with col argument and using categorical column with factor function.
Create the data frame
Let's create a data frame as shown below −
x<-rnorm(20) y<-rnorm(20) Categories<-sample(c("Low","Medium","High"),20,replace=TRUE) df<-data.frame(x,y,Categories) df
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
x y Categories 1 -2.05786236 -0.6386997 Medium 2 -0.47838709 0.6307490 Low 3 2.26748023 0.1583581 High 4 0.18724881 -1.1412040 Medium 5 2.38446518 -0.3039254 Medium 6 0.02884067 2.2569030 Medium 7 -0.41569491 -0.6915881 Low 8 1.94247780 0.4336902 Low 9 0.12884274 -0.9464682 Low 10 2.01637882 1.0660766 Medium 11 0.49692206 0.6047239 High 12 0.65897845 0.1822955 High 13 -0.15872282 1.1882572 High 14 0.09055200 -0.4810778 Low 15 0.58098900 -1.1208266 High 16 -1.29387993 1.3681760 Low 17 -1.03111117 -0.7245990 High 18 -0.92317667 -0.1784569 High 19 -1.61755231 -1.4693293 High 20 -0.37555487 -1.8116867 Medium
Create the scatterplot
Using plot function to create the scatterplot with Categories column read as factor in col argument −
x<-rnorm(20) y<-rnorm(20) Categories<-sample(c("Low","Medium","High"),20,replace=TRUE) df<-data.frame(x,y,Categories) plot(df$x,df$y,col=factor(df$Categories))
Output
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