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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%2Fpostgressql_python_retail_sales_data_pipeline_analytics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdarrendavy12%2Fpostgressql_python_retail_sales_data_pipeline_analytics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdarrendavy12%2Fpostgressql_python_retail_sales_data_pipeline_analytics/lists"}