The Olympics is an international sporting event.Participation in the event has expanded from 241 athletes to 11,500 since the last Olympics. Given the historical data throughout the Olympics, the odds of winning a medal (gold, silver, or bronze) could perhaps be given based on a few biological attributes of the athletes. So here we are going to do exploratory data analysis so we may visualize patterns within the dataset.
| Files | What they Contains ? |
|---|---|
| summer.ipynb | Jupyter Notebook Code |
| summer.csv | Olympic record csv file of dimension (31165 x 9) |
| images | Contain screenshots of observation and graphs |
● The dataset provided consists of 31,165 unique athletes with 9 attributes:
1. Year
2. City
3. Sport
4. Discipline
5. Athlete
6. Country
7. Gender
8. Event
9. Medal● Some analysis:
I'm Aman Kumar, a 2nd year undergraduate of IIT Kharagpur. I am an aspiring programmer wish to solve problem by the mean of logic, maths and programming.
I have successfully completed my second assignment of summer olympics data analysis given by ETG in Skill India Python for ML/AI Internship. Thanks for giving us such a great opportunity to enhance our skills.
