process_players_data

Process FIFA© 2017 players data using Python

Code challenge for a bootcamp scholarship.

Challenge: Using Python, you must find the best players, the most expensive ones and what are their nationalities.

Answer the following questions:

Q1. How many unique nationalities (column nationality) exist on the file?

Q2. How many unique clubs (column club) exist on the file?

Q3. List the full name of the first 20 players on the column full_name.

Q4. Who are the top 10 players who made more money (use the columns full_name and eur_wage)?

Q5. Who are the 10 oldest players?

Q6. Count how many players have the same age. To do this, create a dictionary where the keys are the age and the values are the counter.

All questions refer to the file data.csv.

Requirements

Use Python 3.6 (or newer) and the pip package manager.

You CANNOT use Pandas or NumPy to solve this challenge.

To run the validation tests, install Pytest (in the requirements):

pip install -r requirements.txt

And run the tests:

pytest test_main.py

Details

More details can be found in comments in the file main.py