How to plot multiple time series using ggplot2 in R?
For a one point of time, we might have multiple time series data, this could be weather for multiple cities, price variation in multiple products, demand expectancy at different locations, or anything that changes with time and measured for multiple things or locations. If we have such type of time series data then we would be needing to plot that data in a single plot and it can be done with the help of geom_line function of ggplot2 package.
Example
Consider the below data frames −
Live Demo
> x1<-1:10
> y1<-rnorm(10)
> df1<-data.frame(x1,y1)
> df1
Output
x1 y1
1 1 -0.1165387
2 2 -0.9084062
3 3 0.4696637
4 4 1.5597274
5 5 -0.1101060
6 6 1.4060137
7 7 -0.8310496
8 8 -0.2272508
9 9 -0.2153751
10 10 0.9463936
Example
Live Demo
> x2<-1:10
> y2<-rnorm(10)
> df2<-data.frame(x2,y2)
> df2
Output
x2 y2
1 1 -1.0545341
2 2 0.3791710
3 3 -1.5611182
4 4 -1.1212776
5 5 -0.7441233
6 6 -0.5665797
7 7 -1.1247473
8 8 -0.3644471
9 9 0.8933615
10 10 0.8809048
Example
Live Demo
> x3<-1:10
> y3<-rnorm(10)
> df3<-data.frame(x3,y3)
> df3
Output
x3 y3
1 1 0.53114394
2 2 0.76319036
3 3 -0.09477086
4 4 0.54543062
5 5 1.57865385
6 6 -0.72168934
7 7 0.57577687
8 8 0.03108040
9 9 -0.97440541
10 10 -0.09145164
Creating a single time series plot for the above three data frames using ggplot2 −
> library(ggplot2)
>
ggplot(df1,aes(x1,y1))+geom_line(color="blue")+geom_line(aes(x2,y2),color="black")+
geom_line(aes(x3,y3),color="green")+xlab("Time")+ylab("Rate")Output
Published on 03-Sep-2020 11:16:01
