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player <-read_delim("https://myxavier-my.sharepoint.com/:x:/g/personal/mendiburuperezf_xavier_edu/EZRraEZwJW5NlF_OMd3RpCoBSY4PCwRpJi5oV7k7rrCxBQ?download=1", delim =";")
Rows: 2921 Columns: 143
── Column specification ────────────────────────────────────────────────────────
Delimiter: ";"
chr (5): Player, Nation, Pos, Squad, Comp
dbl (138): Rk, Age, Born, MP, Starts, Min, 90s, Goals, Shots, SoT, SoT%, G/S...
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Question
What league has the youngest players?
player %>%ggplot(aes(x = Comp, y = Age)) +geom_boxplot()
We can observe that the league that has the youngest average Age is Ligue 1 and the Bundesliga. This makes sense because even though they are in the top 5 most popular leagues in the world, they are not the strongest. Because of this younger athletes get to show their talent in these leagues before going into the bigger leagues.
