{"id":24914058,"url":"https://github.com/ahnaf19/clean_bankingdata","last_synced_at":"2026-04-19T04:32:53.639Z","repository":{"id":254449560,"uuid":"846568561","full_name":"Ahnaf19/clean_bankingData","owner":"Ahnaf19","description":"Here I tried to practice simple ETL tasks. I know how to perform these tasks in SQL, here just explored my way around using pandas as well.","archived":false,"fork":false,"pushed_at":"2024-08-23T14:06:49.000Z","size":1399,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-28T05:25:15.504Z","etag":null,"topics":["data-analysis","data-cleaning","pandas","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/Ahnaf19.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":"2024-08-23T13:38:05.000Z","updated_at":"2024-08-23T14:08:54.000Z","dependencies_parsed_at":"2024-08-23T15:14:45.661Z","dependency_job_id":"546761c3-4696-4a15-8fdb-468b54281072","html_url":"https://github.com/Ahnaf19/clean_bankingData","commit_stats":null,"previous_names":["ahnaf19/clean_bankingdata"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Ahnaf19/clean_bankingData","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ahnaf19%2Fclean_bankingData","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ahnaf19%2Fclean_bankingData/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ahnaf19%2Fclean_bankingData/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ahnaf19%2Fclean_bankingData/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Ahnaf19","download_url":"https://codeload.github.com/Ahnaf19/clean_bankingData/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ahnaf19%2Fclean_bankingData/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31994991,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-18T20:23:30.271Z","status":"online","status_checked_at":"2026-04-19T02:00:07.110Z","response_time":55,"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","data-cleaning","pandas","python"],"created_at":"2025-02-02T06:16:12.426Z","updated_at":"2026-04-19T04:32:53.619Z","avatar_url":"https://github.com/Ahnaf19.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# clean_bankingData\nHere I tried to practice simple ETL tasks. I know how to perform these tasks in `postgreSQL`, here just explored my way around using `pandas` as well. In future projects, I would try to work with such a dataset where data cleaning would include handling missing data as well. I would also try to come up with more transformation tasks such as feature engineering and would data analytics pondering over those.\n\nHave a look at my \u003ca href='https://github.com/Ahnaf19/rokomari_price_analysis'\u003ethis\u003c/a\u003e repo where I went from data cleaning to data analysis with visualization.\n\n## Task\n- Extract the given csv file and divide them into three csv files where the data are transformed accordingly\n- Transformation instruction  can be found at the beginning of the notebook\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahnaf19%2Fclean_bankingdata","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fahnaf19%2Fclean_bankingdata","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahnaf19%2Fclean_bankingdata/lists"}