{"id":19504190,"url":"https://github.com/ashish-kr-srivastava/olympic-games-eda---python","last_synced_at":"2026-04-09T20:02:37.041Z","repository":{"id":227465414,"uuid":"771502561","full_name":"Ashish-kr-Srivastava/Olympic-Games-EDA---Python","owner":"Ashish-kr-Srivastava","description":"About Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.","archived":false,"fork":false,"pushed_at":"2024-03-13T12:27:00.000Z","size":3807,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-08T10:43:48.227Z","etag":null,"topics":["data-visualization","datacleaning","eda","matpotlib","numpy","pandas","python","seaborn","seaborn-python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Ashish-kr-Srivastava.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2024-03-13T12:19:46.000Z","updated_at":"2024-03-13T12:22:19.000Z","dependencies_parsed_at":"2024-03-13T13:50:02.674Z","dependency_job_id":null,"html_url":"https://github.com/Ashish-kr-Srivastava/Olympic-Games-EDA---Python","commit_stats":null,"previous_names":["ashish-kr-srivastava/olympic-games-eda---python"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ashish-kr-Srivastava%2FOlympic-Games-EDA---Python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ashish-kr-Srivastava%2FOlympic-Games-EDA---Python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ashish-kr-Srivastava%2FOlympic-Games-EDA---Python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ashish-kr-Srivastava%2FOlympic-Games-EDA---Python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Ashish-kr-Srivastava","download_url":"https://codeload.github.com/Ashish-kr-Srivastava/Olympic-Games-EDA---Python/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240754297,"owners_count":19852186,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-visualization","datacleaning","eda","matpotlib","numpy","pandas","python","seaborn","seaborn-python"],"created_at":"2024-11-10T22:24:48.603Z","updated_at":"2025-10-24T08:31:33.092Z","avatar_url":"https://github.com/Ashish-kr-Srivastava.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003eOLYMPIC GAMES EDA\u003c/h1\u003e\n\n\n**INTRODUCTION**\u003cbr\u003e\n\nThis project is based on the exploratory data analysis of Historic Olympic Game data using PYTHON.\nThis is a historical dataset on the modern Olympic Games, including all the Games from Athens 1896 to Rio 2016.\nThe aim of this analysis was to extract valuable insights and answer a variety of questions related to the history, participation, and performance of nations and athletes in the Olympic Games.\nI have extracted one csv file ‘athlete_events’ using PANDAS, aggregated the data by using NUMPY and generated valuable insights from powerful visualizations using Matplotlib and Seaborn.\n\n\n\n\n***Index Of Contents***\u003cbr\u003e\n - Importing Dataset\n - Data Preparation \u0026 Cleaning\n - Exploratory Analysis and Visualization\n - Top countries participating in Olympics\n - Age Distribution\n - Gender Distribution\n - Participants across seasons\n - Asking and Answering Questions\n - Q1: Which countries WON the maximum Gold Medals in last held Olympic competitions ?\n - Q2: Countries winning maximum Medals per year ?\n - Q3: Top 10 Individual winning maximum number of Olympics Medals for their country ?\n - Q4: Spread of Medal based on Age, Height and Weight ?\n - Q5: Women participation at Olympics ?\n - Q6: Medal won Individual with Age more than 50?\n - Inferences and Conclusions\n\nFor More Enquiry Click On 👉 [LinkedIn](www.linkedin.com/in/ashish-srivastava-22850a25a)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fashish-kr-srivastava%2Folympic-games-eda---python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fashish-kr-srivastava%2Folympic-games-eda---python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fashish-kr-srivastava%2Folympic-games-eda---python/lists"}