This code runs with Python version 3.* and requires some libraries, to install theses libraries you will need to execute:
pip install -r requirements.txt
This is an Udacity Data Science Nanodegree project. I have taken FIFA 20 player dataset from kaggle
Link: https://www.kaggle.com/stefanoleone992/fifa-20-complete-player-dataset
Here, I will focus on the questions below:
Q1: What's the ratio of total wages/ total potential for clubs. Which clubs are the most spends most on player potential？
Q2: What's the age distribution like? How is it related to player's overall rating?
Q3: Predict the best position
Data Science Blog Post.ipynb: Notebook containing the data analysis.
players_20.csv: FIFA20 Player dataset taken from kaggle
The main findings of the code can be found at the post available
Must give credit to Udacity courses for some of code ideas, and to kaggle/AirBnb for the data. You can find the Licensing for the data and other descriptive information at the Kaggle link available here. Otherwise, feel free to use the code here as you would like!