{"id":28235215,"url":"https://github.com/kosuri-indu/allaboutolympics","last_synced_at":"2026-04-16T19:07:01.539Z","repository":{"id":234547042,"uuid":"789028063","full_name":"kosuri-indu/AllAboutOlympics","owner":"kosuri-indu","description":"All About Olympics is an interactive dashboard presenting comprehensive data and insights on Olympic Games from 1896 to 2020.","archived":false,"fork":false,"pushed_at":"2024-05-10T06:04:53.000Z","size":5131,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-13T03:42:30.362Z","etag":null,"topics":["data-analysis","pandas","plotly","python","streamlit"],"latest_commit_sha":null,"homepage":"https://all-about-olympics.streamlit.app/","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/kosuri-indu.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,"publiccode":null,"codemeta":null}},"created_at":"2024-04-19T15:05:50.000Z","updated_at":"2024-06-24T09:14:22.000Z","dependencies_parsed_at":null,"dependency_job_id":"957a107e-ac6a-462a-b1d7-4a684a535a8c","html_url":"https://github.com/kosuri-indu/AllAboutOlympics","commit_stats":null,"previous_names":["kosuri-indu/allaboutolympics"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/kosuri-indu/AllAboutOlympics","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kosuri-indu%2FAllAboutOlympics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kosuri-indu%2FAllAboutOlympics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kosuri-indu%2FAllAboutOlympics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kosuri-indu%2FAllAboutOlympics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kosuri-indu","download_url":"https://codeload.github.com/kosuri-indu/AllAboutOlympics/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kosuri-indu%2FAllAboutOlympics/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31900057,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-16T18:22:33.417Z","status":"ssl_error","status_checked_at":"2026-04-16T18:21:47.142Z","response_time":69,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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-analysis","pandas","plotly","python","streamlit"],"created_at":"2025-05-18T23:11:11.257Z","updated_at":"2026-04-16T19:07:01.532Z","avatar_url":"https://github.com/kosuri-indu.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Olympics Data Analysis Dashboard 🏆📅\n\nThis project showcases an interactive data analysis dashboard where we have analyzed and visualized Olympic Games data. Explore the interactive charts and tables to gain insights into Olympic Games data.\n\n### Features\n- **Medal Tally Analysis**: View medal tally based on selected year and country.\n- **Overall Analysis**: Explore overall statistics like editions, host cities, participating nations, and more.\n- **Country-wise Analysis**: Analyze medal tallies and sports performance of specific countries over the years.\n- **Athlete-wise Analysis**: Investigate top athletes, age distributions, and participation trends.\n\n### Tech Stack\n| Language | Libraries Used |\n|-----------|---------------|\n| Python | Numpy, Pandas, Matplotlib, Seaborn, Plotly (express, figure_factory), Pillow, Streamlit|\n\n### Resources\n- CampusX : https://www.youtube.com/watch?v=5nQXhusiu7s\u0026t=92s\n- Documentation of the Libraries\n- And also added my own data analysis components as well\n  \n### Folder Structure\n\n``` \nolympics-analysis/\n│\n├── app.py                \n├── data/                 \n│   ├── Athletes_summer_games.csv\n│   ├── Athletes_winter_games.csv\n│   └── regions.csv\n├── images/              \n│   └── logo.jpeg\n├── helper.py             \n├── preprocessor.py       \n├── requirements.txt     \n└── README.md             \n\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkosuri-indu%2Fallaboutolympics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkosuri-indu%2Fallaboutolympics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkosuri-indu%2Fallaboutolympics/lists"}