{"id":19797494,"url":"https://github.com/patrickdavies100/datapipeline37","last_synced_at":"2025-10-08T22:11:44.317Z","repository":{"id":251861801,"uuid":"808795918","full_name":"PatrickDavies100/DataPipeline37","owner":"PatrickDavies100","description":"Some Data Science practice using datasets available online. Currently test data is similar to this dataset: https://www.kaggle.com/datasets/asaniczka/amazon-uk-products-dataset-2023 but the plan is to expand.","archived":false,"fork":false,"pushed_at":"2024-10-01T13:19:58.000Z","size":40,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-28T16:31:24.031Z","etag":null,"topics":["data","data-science","pandas-dataframe","python3"],"latest_commit_sha":null,"homepage":"","language":"Python","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/PatrickDavies100.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":"2024-05-31T20:51:30.000Z","updated_at":"2025-01-30T03:57:25.000Z","dependencies_parsed_at":"2024-11-12T07:42:46.305Z","dependency_job_id":null,"html_url":"https://github.com/PatrickDavies100/DataPipeline37","commit_stats":null,"previous_names":["patrickdavies100/datapipelineamazon","patrickdavies100/datapipeline37"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/PatrickDavies100/DataPipeline37","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PatrickDavies100%2FDataPipeline37","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PatrickDavies100%2FDataPipeline37/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PatrickDavies100%2FDataPipeline37/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PatrickDavies100%2FDataPipeline37/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PatrickDavies100","download_url":"https://codeload.github.com/PatrickDavies100/DataPipeline37/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PatrickDavies100%2FDataPipeline37/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279000782,"owners_count":26082851,"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":"2025-10-08T02:00:06.501Z","response_time":56,"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","data-science","pandas-dataframe","python3"],"created_at":"2024-11-12T07:25:31.147Z","updated_at":"2025-10-08T22:11:44.281Z","avatar_url":"https://github.com/PatrickDavies100.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AmazonUK Data Science Practice\nA Data Science project  using datasets such as https://www.kaggle.com/datasets/asaniczka/amazon-uk-products-dataset-2023\n\nTechnologies used:\nIDE: PyCharm 2024 1.2\n\nLibraries: PANDAS, PySide6, PyArrow\n\nObjectives:\n 1. Create tools for automated data process including cleaning, transformation, and processing.\n 2. The application can generate a working serialisation format of a pipeline.\n 3. This format can be customised by the user.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpatrickdavies100%2Fdatapipeline37","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpatrickdavies100%2Fdatapipeline37","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpatrickdavies100%2Fdatapipeline37/lists"}