Analyzing FIFA-17 players data with pandas

Analyzing FIFA-17 players data with pandas

0%

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.

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?

Course Content

Analyzing FIFA-17 players data with pandas

Analyzing FIFA-17 players data with pandas

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?

First data exploration

Let's explore how is our dataset look like.

Task

Print information for data columns.
Print first 10 rows of data.

Task

Print information for data columns.
Print first 10 rows of data.

Mark tasks as Completed

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Let's explore how is our dataset look like.

Task

Print information for data columns.
Print first 10 rows of data.

Mark tasks as Completed

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Section 1. Chapter 2

AVAILABLE TO ULTIMATE ONLY

some-alt