The Olympic Games, considered to be the world's foremost sports competition has more than 200 nations participating across the Summer and Winter Games alternating by occurring every four years but two years apart.
Throughout this project, we will explore the Olympics dataset (scraped from https://en.wikipedia.org/wiki/All-time_Olympic_Games_medal_table), look at some interesting statistics and then try to find out which country is the King of the Olympic Games.
The dataset has details of 146 countries with the following 16 features
Feature - Description
Country_Name - Name of the country
#Summer - No. of games played in Summer Olympics
Gold_Summer - No. of gold medals won in Summer Olympics
Silver_Summer - No. of silver medals won in Summer Olympics
Bronze_Summer - No. of bronze medals won in Summer Olympics
Total_Summer - Total no. of all the medals won in Summer Olympics
#Winter - No. of games played in Winter Olympics
Gold_Winter - No. of gold medals won in Winter Olympics
Silver_Winter - No. of silver medals won in Winter Olympics
Bronze_Winter - No. of bronze medals won in Winter Olympics
Total_Winter - Total no. of all the medals won in Winter Olympics
#Games - Total no. of games played in both Summer and Winter Olympics
Gold_Total - Total no. of gold medals won in both Summer and Winter Olympics
Silver_Total - Total no. of silver medals won in both Summer and Winter Olympics
Bronze_Total - Total no. of bronze medals won in both Summer and Winter Olympics
Total - Total no. of all the medals won in both Summer and Winter Olympics
After completing this project, I have a better understanding of data handling with python(pandas).
In this project, I applied the following concepts :
Dataframe operations
Conditional statement and loops
List operations
Bar Plotting
Mathematical operations