Analyzing FIFA-17 players data with pandas
Oleksandr Lomako
Python
10 Chapters
0 Studying now
In this project, you will analyze data from one of the most popular and the oldest (but still existing) computer game series - FIFA, namely FIFA-17 with pandas library and seaborn library for visualization.
コースの説明
In this project, you will analyze data from one of the most popular and the oldest (but still existing) computer game series - FIFA, namely FIFA-17 with pandas library and seaborn library for visualization.
技術
Python
言語
En
評価
章
10
Importing libraries and data
First data exploration
Is everything ok with height column?
Correcting and converting height column
Average height and player role
National teams players
Clubs and national teams representation
Which club has the best players?
How many players are in each club?
Which club has the best 11?
0%
Importing libraries and data
First data exploration
Is everything ok with height column?
Correcting and converting height column
Average height and player role
National teams players
Clubs and national teams representation
Which club has the best players?
How many players are in each club?
Which club has the best 11?
