{"id":18947610,"url":"https://github.com/elcaiseri/udacity-advanced-data-analysis","last_synced_at":"2026-05-05T08:33:15.898Z","repository":{"id":175023622,"uuid":"473347959","full_name":"elcaiseri/UDACITY-Advanced-Data-Analysis","owner":"elcaiseri","description":"UDACITY - Advanced-Data-Analysis Track Project","archived":false,"fork":false,"pushed_at":"2022-03-24T19:16:05.000Z","size":1178,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-01T22:13:37.687Z","etag":null,"topics":["data-analysis","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/elcaiseri.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":"2022-03-23T20:28:22.000Z","updated_at":"2022-08-31T07:09:36.000Z","dependencies_parsed_at":null,"dependency_job_id":"d78d6e21-8742-4bdc-be61-667ae56dbbbe","html_url":"https://github.com/elcaiseri/UDACITY-Advanced-Data-Analysis","commit_stats":null,"previous_names":["elcaiseri/udacity-advanced-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/elcaiseri/UDACITY-Advanced-Data-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elcaiseri%2FUDACITY-Advanced-Data-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elcaiseri%2FUDACITY-Advanced-Data-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elcaiseri%2FUDACITY-Advanced-Data-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elcaiseri%2FUDACITY-Advanced-Data-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/elcaiseri","download_url":"https://codeload.github.com/elcaiseri/UDACITY-Advanced-Data-Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elcaiseri%2FUDACITY-Advanced-Data-Analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":271993406,"owners_count":24855180,"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","status":"online","status_checked_at":"2025-08-24T02:00:11.135Z","response_time":111,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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","python"],"created_at":"2024-11-08T13:10:39.128Z","updated_at":"2026-05-05T08:33:10.878Z","avatar_url":"https://github.com/elcaiseri.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# UDACITY - Advanced-Data-Analysis Track Project\n\n## FordGo Bike - Trip Dataset\n\nThis data set includes information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area in **Feb2019.**\n**The dataset after cleaning contains 174952 trips with 15 features. The features are:**\n1. duration_sec : duration for the trip in second\n2. start_station_name : the trip start station name\n3. end_station_name : the trip end station name\n4. start_station_latitude : start station latitude location\n5. end_station_latitude : end station latitude location\n6. user_type : Members divided to Subscriber (subscribe to the service) or Customer (normal customer)\n7. start_date : the date at which the trip start\n8. end_date : the date at which the trip end\n9. start_station_longitude : start station longitude location\n10. end_station_longitude : end station longitude location\n11. start_week : the day of the week at which the trip start (Saterday, Sunday, Monday, Tuesday, Wednesday, Thursday and Friday)\n12. end_week : the day of the week at which the trip end (Saterday, Sunday, Monday, Tuesday, Wednesday, Thursday and Friday)\n13. start_day : strat day of month (1-31)\n14. end_day : end day of month (1-31)\n15. bike_share_for_all_trip : bike share for all trip\n16. member_birth_year: birth year for user\n17. member_gender: user gender (Male, Female)\n\n## Summary of Findings\n* High duration trips does not related to gender but and most trips consist of mid age users.\n* Age range of subscribers user type are slightly larger than customers.\n* Subscriber users uses the 3 main staions locations more than other users types.\n* Male spread on the 3 main locations (clusters) more than Females.\n* User who started thire journey from the left cluster are more likely to share bike for all trip than users who use bikes from both right locations.\n\n## Key Insights for Presentation\n\n* Distribution for trips over (Duration / Sec , Age, User Type, Member Gender, Bike Share, Start and End Stations).\n* Station Locations (latitude and longitude)\n* Days of Month and Day of Week\n* The correlation between the numerical features.\n* The relation between the main features which are (Duration, Age and Gender).\n\n\u003chr\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Felcaiseri%2Fudacity-advanced-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Felcaiseri%2Fudacity-advanced-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Felcaiseri%2Fudacity-advanced-data-analysis/lists"}