Data Analysis of Olympic Games (1896-2022)
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Updated
Jun 24, 2023 - Jupyter Notebook
Data Analysis of Olympic Games (1896-2022)
Analysis of Team Novo Nordisk (TNN) cycling and diabetes data
Preprocecssing of Team Novo Nordisk (TNN) cycling and diabetes data
This is a historical dataset on the modern Olympic Games, including all the Games from Athens 1896 to Rio 2016.
Enables strength and conditioning coaches to record, monitor, and track their teams' and athletes' performance statistics and injuries. As well as visualize key trends in data across their teams and athletes. This backend uses Rails as an API, BCrypt, PostgreSQL, and Faker. Frontend repo: https://github.com/ckaiser258/Final_Project_Frontend
A statistics web app for athletics organisations
A repository related to a master thesis in electronics, informatics and technology. Title: "Comparing Cardiological and Algorithm-Based ECG Interpretation in Athletes: Can Artificial Intelligence Improve the Algorithms?"
Find friends and routes on Strava
Compare your sprinting speed to professional athletes.
A basic athlete dashboard built in Shiny that enables coaches send notes directly to athletes's phone from the app.
VMPY - Performance Velo Metrics Toolbox
An analysis for the highest paid athletes for a 10 year span in Python. The data set is from the Forbes list that compiled their net worth.
Repository on the development of the Final Degree Project in Health Engineering, which will focus on the effectiveness of probiotic supplementation in CrossFit athletes.
Olympic Athletes Dashboard App
Using data taken from the modern era of the Olympic games we were able to perform certain analysis to give insight into correlations and numerical patterns regarding the participants of these sporting events.
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