A scraper for the Tokyo 2020 Olympics designed to download "complete" data.
-
Updated
Aug 29, 2021 - Python
A scraper for the Tokyo 2020 Olympics designed to download "complete" data.
Find out which countries have won the most medals and how the participation of nations has changed over time, with R
Exploratory data analysis of Olympics participation data set, to understand impact of historical world events on the international games.
The Olympic API allows developers to access historical olympic data from 1896 - 2014. The API was built with Ruby on Rails, and architected strictly around REST principles. Full documentation is provided including endpoints, error handling, access, and a dedicated try server. The try server allows for real time requests to the database.
In this project, I was trying to get most of the relevent information of the data using library like numpy, pandas. I have worked on data like aadhar data, Olympics data
Does the year you are born in an Olympic cycle affect the likelihood of you becoming an Olympic athlete or medalist?
Applied Clustering techniques
Written by Brian Lesko, the repository contains R Scripts demonstrating data science topics largely originating from study at Ohio State. Contents are written in R studio using the R markdown file. As of 1/21/23 Future projects concerning data science, statistics, and machine learning will be in python in my machine learning Repository
Add a description, image, and links to the olympics-data topic page so that developers can more easily learn about it.
To associate your repository with the olympics-data topic, visit your repo's landing page and select "manage topics."