A time series plot looks at a variable over time to see trends. To make a time series graph, we use the same function as scatter plots, plot(), however, we change the type of graph from a point to a line graph. We can do this by changing the type = in the function from a type = "p" to a type = "l". In addition, the variable on the x-axis should always be a variable that measures time.
library(tidyverse)
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library(RandomData)# Time Series Plot# plot(data$y ~ data$timevariable,# type ="l",# col = "color", # main = "Main Title",# ylab = "Label Y-axsis",# xlab = "Label X-axsis")
In the following example, we look at the total wins for Ferrari drivers over time.
# Calculate total wins per year for Ferrariferrari_wins <- constructors_stats |>filter(constructor =="Ferrari") |>group_by(year) |>summarize(total_wins =sum(max(constructor_wins)))## Make Time Series plotplot(ferrari_wins$total_wins ~ ferrari_wins$year,# make it a line not pointstype ="l", # add colorcol =c("red"), # change width of the linelwd =2, # add main titlemain ="Ferrari Wins 1958 to 2024 (Before the Summer Break)",# add title on x-axsisxlab ="Year", # add title on y-axsisylab ="Wins")
