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Objective of the Project\nThis Milestone Project is a crucial step toward obtaining the SAS Academic Specialization in SAS Programming and Machine Learning. The project aims to apply techniques for accessing, processing, managing, and mining real-world data to provide solutions to contemporary business problems using Base SAS Programming, SAS Visual Analytics, and SAS Visual Data Mining and Machine Learning on SAS Viya.\n\n### B. Base SAS Programming Using SAS Studio on SAS Viya\n1. **Data Pre-processing:**\n    - Calculate the number of SKUs per invoice and total value of SKUs per invoice.\n    - Divide invoice observations into sales and returns transactions.\n    - Calculate customer age and categorize them into age ranges.\n2. **Customer Profiling:**\n    - Analyze demographic characteristics such as age, gender, and region.\n    - Segment customers by age range and analyze behavioral characteristics.\n3. **Exploration and Understanding of Sales:**\n    - Analyze sales and returns levels.\n    - Investigate average basket size and top products per product line.\n    - Analyze the contribution of each region to the company's revenues.\n4. **Promotional Activities:**\n    - Analyze the percentage of products sold with and without promotions.\n    - Investigate the distribution of sales per day of the week.\n5. **Supplier Analysis:**\n    - Determine the percentage and actual revenues of products sold by each supplier.\n6. **Customer Segmentation:**\n    - Profile customers based on Recency, Frequency, and Monetary parameters.\n\n### C. SAS Visual Data Mining and Machine Learning\n7. **Customer Clustering:**\n    - Analyze RFM data set using SAS Visual Data Mining and Machine Learning.\n8. **Association Analysis:**\n    - Identify associations among product categories in the whole data set and within identified customer clusters.\n\n### D. Instructions\n- Address answers to business people in an understandable manner.\n- Include charts, tables, and screenshots documenting the results.\n- Include SAS code in the appendix.\n\n### E. Datasets Description\n- **Customer Table:** Contains customer details such as name, address, gender, and birthdate.\n- **Invoice Table:** Contains data about issued invoices including date, customer ID, and payment method.\n- **Basket Table:** Contains details about products sold in each invoice.\n- **Products Table:** Includes product details such as type, price, and origin.\n- **Promotions Table:** Contains information about promotions and discounts.\n- **Product Origin Table:** Provides details about the origin country of each product.\n- **Suppliers Table:** Includes information about product suppliers.\n\n![Screenshot 2024-03-28 224708](https://github.com/CodeNinjaTech/SAS-Programming-and-Machine-Learning/assets/143879796/3e0cffe8-5e36-4d90-be0c-41f669174a51)\n![Screenshot 2024-03-28 224749](https://github.com/CodeNinjaTech/SAS-Programming-and-Machine-Learning/assets/143879796/b1f7cf06-83de-4137-8a90-ccc75637b35b)\n![Screenshot 2024-03-28 224812](https://github.com/CodeNinjaTech/SAS-Programming-and-Machine-Learning/assets/143879796/8af4c0bd-bfd8-4156-8fe2-509dd9dfbf22)\n![Screenshot 2024-03-28 224837](https://github.com/CodeNinjaTech/SAS-Programming-and-Machine-Learning/assets/143879796/3a4ccf19-9af9-4989-9298-ef73ebc04e8a)\n![Screenshot 2024-03-28 224903](https://github.com/CodeNinjaTech/SAS-Programming-and-Machine-Learning/assets/143879796/9219f84a-9013-45e3-ad1c-b6aad93377a3)\n![Screenshot 2024-03-28 224931](https://github.com/CodeNinjaTech/SAS-Programming-and-Machine-Learning/assets/143879796/ebcef1b5-7b1b-439d-8324-01c2870cebde)\n![Screenshot 2024-03-28 224948](https://github.com/CodeNinjaTech/SAS-Programming-and-Machine-Learning/assets/143879796/cf1ca275-c171-4f52-a487-4a5312ef9a74)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flefteris-souflas%2Fsas-programming-and-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flefteris-souflas%2Fsas-programming-and-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flefteris-souflas%2Fsas-programming-and-machine-learning/lists"}