Grouping and colouring with ggplot at the same time

Question

I've got two teams and a given value for each team and year for a certain time interval. My data looks like the following:

yearID	teamID	value
2020	0	5
2020	1	7
2019	0	3
2019	1	1

I want to plot this with a point for each year and value, distunguishing between teams by color. Additionally I want to draw lines between points grouped by year. I am almost there:

ggplot(hr_by_team_year_sf_la_df, aes(x='yearID', y='HR', group='yearID')) + geom_line() + geom_point()

resulting in the following plot:

Only colors miss for now. I've tried several approaches but none succeeded:

1. ggplot(hr_by_team_year_sf_la_df, aes(x='yearID', y='HR', group='yearID')) + geom_line() + geom_point(aes(color='teamID'))
2. ggplot(hr_by_team_year_sf_la_df, aes(x='yearID', y='HR', group='yearID', color='teamID')) + geom_line() + geom_point()

Anyone got an idea how to paint the points depending on the teamId?

Answer 1

Do you mean something like this?

library(tidyverse)

df <- tibble(yearID = c("2020","2020","2019","2019"), 
             teamID = c(0, 1, 0, 1), 
             value = c(5, 7, 3, 1)) %>% 
  mutate(teamID = as.factor(teamID))

ggplot(df) + 
  geom_line(aes(yearID, value)) + 
  geom_point(aes(yearID, value, color = teamID), size = 3)