{"id":30172922,"url":"https://github.com/darrendavy12/retail_sales_etl_data_pipeline_postgressql_python_analytics","last_synced_at":"2025-10-10T19:13:24.708Z","repository":{"id":302875335,"uuid":"1013744486","full_name":"DarrenDavy12/Retail_Sales_ETL_Data_Pipeline_PostgresSQL_Python_Analytics","owner":"DarrenDavy12","description":"Online retail data set from kaggle, I used this for a project using PostgreSQL to demonstrate my knowledge in SQL and workarounds when using the pgadmin GUI and psql tool.  ","archived":false,"fork":false,"pushed_at":"2025-07-31T15:18:37.000Z","size":56,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-11T23:24:14.669Z","etag":null,"topics":["analytics","data-engineering","datacleaning","ecommerce","ingestion","onlineretailanalysis","postgres","postgresql","realistic-data","sql","transfrom"],"latest_commit_sha":null,"homepage":"","language":null,"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/DarrenDavy12.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,"zenodo":null}},"created_at":"2025-07-04T11:50:24.000Z","updated_at":"2025-07-31T15:19:14.000Z","dependencies_parsed_at":"2025-07-05T14:42:58.874Z","dependency_job_id":null,"html_url":"https://github.com/DarrenDavy12/Retail_Sales_ETL_Data_Pipeline_PostgresSQL_Python_Analytics","commit_stats":null,"previous_names":["darrendavy12/postgressql_retail_sales_data_pipeline-analytics","darrendavy12/postgressql_python_retail_sales_data_pipeline_analytics"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/DarrenDavy12/Retail_Sales_ETL_Data_Pipeline_PostgresSQL_Python_Analytics","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DarrenDavy12%2FRetail_Sales_ETL_Data_Pipeline_PostgresSQL_Python_Analytics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DarrenDavy12%2FRetail_Sales_ETL_Data_Pipeline_PostgresSQL_Python_Analytics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DarrenDavy12%2FRetail_Sales_ETL_Data_Pipeline_PostgresSQL_Python_Analytics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DarrenDavy12%2FRetail_Sales_ETL_Data_Pipeline_PostgresSQL_Python_Analytics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DarrenDavy12","download_url":"https://codeload.github.com/DarrenDavy12/Retail_Sales_ETL_Data_Pipeline_PostgresSQL_Python_Analytics/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DarrenDavy12%2FRetail_Sales_ETL_Data_Pipeline_PostgresSQL_Python_Analytics/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279005039,"owners_count":26083827,"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":"2025-10-10T02:00:06.843Z","response_time":62,"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":["analytics","data-engineering","datacleaning","ecommerce","ingestion","onlineretailanalysis","postgres","postgresql","realistic-data","sql","transfrom"],"created_at":"2025-08-11T23:18:20.192Z","updated_at":"2025-10-10T19:13:24.673Z","avatar_url":"https://github.com/DarrenDavy12.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# PostgreSQL_Python_Retail_Sales_ETL_Data_Pipeline_Analytics\n\n### UK Online Retail (from UCI via Kaggle) \nA well-known dataset with around 541,000 transactions, complete with invoices, products, quantities, prices, countries, and more. Great for RFM analysis, churn, cancellations, and seasonality studies.\n\n#### Tech Stack:\n  - PostgreSQL\n  - pgAdmin\n  - CSVs\n\n\n\u003ch2\u003e👨‍💻 PostgreSQL and Python Online Retail Project:\u003c/h2\u003e\n\n- \u003cb\u003e\u003c/b\u003e\n  - [Ingesting online retail dataset](https://github.com/DarrenDavy12/PostgresSQL_Retail_Sales_Data_Pipeline-Analytics/blob/78bb6d67ad08b861ad094cb4ab7f3b865326f6d4/1.Ingesting_online_retail_dataset.md)\n\n\n- \u003cb\u003e\u003c/b\u003e\n  - [Transforming online retail dataset](https://github.com/DarrenDavy12/PostgresSQL_Retail_Sales_Data_Pipeline-Analytics/blob/ad1c1ebc3c5182f5e7cc0f873e54ed6df1f07b22/2.Transforming_online_retail_dataset.md)\n\n\n\n\n- \u003cb\u003e\u003c/b\u003e\n  - [Analysing online retail dataset](https://github.com/DarrenDavy12/PostgresSQL_Retail_Sales_Data_Pipeline-Analytics/blob/763fbb04d8938144983bfef8b84300c74eac0e9c/3.%20Basic_visualization_Sales_Charts_with_pandas_matplotlib_seaborn_sqlalchemy.md)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdarrendavy12%2Fretail_sales_etl_data_pipeline_postgressql_python_analytics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdarrendavy12%2Fretail_sales_etl_data_pipeline_postgressql_python_analytics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdarrendavy12%2Fretail_sales_etl_data_pipeline_postgressql_python_analytics/lists"}