Project Title - EDA of the Forbes Richest Athletes (1990-2021)
Sports has always been an integral and exciting part of our lives. Almost all of us have or have had an inclination towards playing or watching any set of sports. A few sports get pretty popular and thus we have the emergence of heroes and idols in each sport. Athletes who make it to the top in their respective sports earn a lot of money both on and off the field. Match earnings , Merchandise , Ads, Endorsements and what not! Ill be exploring some dataset and will ill try to find some exiting trends and information regarding the highest paid athletes in the world of sports. I have planned to check the distribution of earnings decade wise , Nationality-wise , Sport-wise, Difficulty-wise with some apt illustrations for the same. Stay tuned!
Downloading the Dataset
Data Sources:
Kaggle : Forbes Richest Athletes(1990-2020): https://www.kaggle.com/parulpandey/forbes-highest-paid-athletes-19902019
ESPN : Difficulty Rating Sport Wise https://www.espn.com/espn/page2/sportSkills
from IPython import display
display.Image('forbeds-logo-300x200.jpg')
!pip install jovian opendatasets --upgrade --quiet
Let's begin by downloading the data, and listing the files within the dataset.