prem_league_stats <- read_excel("../Final-project/prem_league_stats.xlsx")
#| echo: false
#| message: false
#| warning: false
prem_league_stats|>
select(part_of_body, injury, goals_overall, position, `Current Club`, age, full_name)|>
drop_na(part_of_body, injury)|>
ggplot(mapping = aes(x = age)) +
geom_bar() +
labs(title = "Total Soccer Injuries Related to Age ",
x = "Age",
y = "Total number of Injuries")
I can't test this without your data, but try this:
prem_league_stats|>
drop_na(part_of_body, injury)|>
group_by(age) |>
summarize(N = n()) |>
ggplot(mapping = aes(x = age, y = N)) +
geom_line() +
labs(title = "Total Soccer Injuries Related to Age ",
x = "Age",
y = "Total number of Injuries")
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