Skip to content

harshshah3/python-data-science-hands-on

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Project Overview

Olympics Data Analysis

Dataset used from : [(https://en.wikipedia.org/wiki/All-time_Olympic_Games_medal_table)] - Olympic Games Medal Data

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 hands-on project, I have put efforts to have insights on some interesting statistics and then try to find out which country is the King of Olympic Games.

About the Dataset :

The snapshot of the data,

Olympic Game Data

The dataset has details of 146 countries with following 16 features

Features 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 goldmedals won in Winter Olympics
Silver_Winter No. of silvermedals 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

Tasks:

  1. Which Event was better in terms of medal counts : Summer or Winter ?
  2. Visualizing the top 10 countries in Winter Olympics, Summer Olympics and in both. Which are the common of all three?
  3. What is the Gold medal winning ratio with respect to total medals count for top 10 countries?
  4. Which country has performed based so far in terms or medals tally?

Learnings from the project

The major objective behind this hands-on project is to have a better understanding of data handling/wrangling with python(Pandas).

  • Pandas Dataframe operations
  • Conditional Filtering and Lambda expressions
  • List and Set operations
  • Bar Plotting
  • Mathematical operations

Statistical insights:

  • Medal Counts for top 10 performing countries in all Olympic events

Medal Count for top 10 countries

  • Best Country's Overall Performance in Olympic (Based on total number of medals won)

Olympic Performance of Best Country

About

Hands-on Python in Data Science with Olympics Dataset

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages