INTRODUCTION

• Kaggle

• Olympics Dataset: athelete_events and noc_regions

• Categorical Variables: name, gender, team, region, year, city, and medal type

• Numerical Variables: athlete’s age, weight, and height

• Evaluation: Survey

• Reproducibility: Github repo

• Blog

Goal

• Primary Question: What are the dominant countries in each sport type?

• Sub Question 1: Has the number of the atheletes, nations and events cahnges over time?

• Sub Question 2: What are the number of the female vs male over time?

• Sub Question 3: Which countries won the most medal and what is the top 10 countries?

• Sub Question 4: What is the olympic time elapse?

Medals

Has the number of athletes, nations, and events changed over time?

Which countries win the most medals?

Top 10 countries

Olympics Time Elapse

Shiny App

https://anjali-bapat.shinyapps.io/Final_Project/

Future Work

• Find corelation of winning medel with nations’ GDP and other factor.

• Come up with predictive model to predict win probability.

• Survey feedback will be considered for future work to improve the dashboard.

• For some users, face recognition is easier than remembering their names, thus photos of the athletes along with their names would bring asset to the app.

LINKS

• Please see the shiny app link: https://anjali-bapat.shinyapps.io/Final_Project/

• Please see the survey link: https://docs.google.com/forms/d/e/1FAIpQLSfTCvwJWXp9CgdG6mQ7kgn06chfwXzZqHUJaobJdWCZMR1keQ/viewform

• Please see the blog link: https://elifdemirblog.netlify.com/post/120-years-of-olympics/

• Please see the Github link: https://github.com/anjbapat/Olympics.github.io/