Data on the 11,500+ athletes and 306 events at the Rio Olympics. Includes medals tallies

Find out which countries have won the most medals and how the participation of nations has changed over time, with R

🥇 A project for analyzing Olympic medal data with R, combining TidyTuesday records and World Bank indicators to assess raw medal counts, efficiency metrics, and economic context. It generates diverse visualizations, performs regression and clustering, and reveals patterns in national Olympic performance.

Olympic Games Module for MagicMirror²

A database with olympic games data from 1896 to 2016, built for postgrsql.

Olympics Data Analysis using R

This is an Exploratory Data Analysis project to analyze the modern Olympic Games, including all the Games from Athens 1896 to Rio 2016.

An interactive Olympic Data Dashboard designed to visualize country performance, athlete demographics, and medal distribution using dynamic charts and maps. Built with Power BI, this dashboard showcases insights from the 2024 Olympic Games, making data exploration engaging and accessible

A Project that I developed with my partner AymenMog, as our first C project, if you are just beginning with C check it !

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.

A structured relational database for managing detailed information about Olympic Games, including athletes, teams, events, results, and awards.

The documentation content for the jopedia Antora example

Visualization of historical data about the Olympic Games

This is an Exploratory Data Analysis project to analyze the modern Olympic Games, including all the Games from Athens 1896 to Rio 2016.

東京2020オリンピック・パラリンピックの開催前に、日本オリンピックミュージアムで展示された聖火。撮影日：2020年9月12日 【場所：東京都新宿区】

[BUT S2] Exploitation de BDD

Défiez vos amis aux jeux olympiques !

Assignment for Big Data Processing: A collection of programs for analysing tweets related to the 2012 Olympics.

This project aims to analyze historical Olympics data using Python-based libraries like Pandas and Plotly to provide insightful visualizations. By leveraging data analysis techniques, the project explores various trends, such as country-wise performance, athlete achievements, and medal distribution across different sports and years.

Analysis of historical Olympic performance and GDP and population. Using Python: Pandas, Flask, SQLite; JavaScript: Leaflet, Highcharts, D3; HTML. Deployed using Heroku.