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Analyzing FIFA-17 players data with pandas
Analyzing FIFA-17 players data with pandas
Importing libraries and dataFirst data explorationIs everything ok with height column?Correcting and converting height columnAverage height and player roleNational teams playersClubs and national teams representationWhich club has the best players?How many players are in each club?Which club has the best 11?
Which club has the best 11?
Okay, we found out that more than 50% of clubs in dataset have 16 or less non-sub players. It might affect mean calculations. Let's calculate average rating of the best 11 players in each team.
Завдання
- Calculate average Rating of the best 11 players for each club.
- Build barplot representing this information.
Завдання
- Calculate average Rating of the best 11 players for each club.
- Build barplot representing this information.
Mark tasks as Completed
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантівВсе було зрозуміло?
Okay, we found out that more than 50% of clubs in dataset have 16 or less non-sub players. It might affect mean calculations. Let's calculate average rating of the best 11 players in each team.
Завдання
- Calculate average Rating of the best 11 players for each club.
- Build barplot representing this information.
Mark tasks as Completed
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантівСекція 1. Розділ 10
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