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Comprehensive, industry-specific demonstrations of SAS Viya Workbench capabilities

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SAS Viya Workbench Demos


This repository contains demos for specific industry use cases on SAS Viya Workbench. Demos are organised in different folders as per industry.

We hope these demos stimulate thoughts and ideas around possibilities with SAS Viya Workbench, a developer-oriented, scalable and performant analytics environment which increases productivity. This repository is also an ideal platform for you to showcase your demos (planned) and collaborate with like-minded creators.

List of demos

Refer here for the full list of demos. Additional demos are expected to be added to this repo soon after following a review process. We highlight the following demos:

Name Brief Description Industry Owner/Contact Components Last Update
Loan Default Model Fit, assess and compare predictive models for loan defaults Banking [email protected] SAS, Python 21NOV2024
Synthetic Census Data Generation Generate synthetic data on citizen attributes based on census data Government [email protected] Python 21NOV2024
Privacy Risk for Synthetic Data Calculate metrics (e.g. Singling Out risk) to evaluate privacy and re-identification risk for synthetically generated data Government [email protected] Python 16DEC2024

Getting Started - How to use these demos

Make use of a SAS Viya Workbench environment and clone this repository using Git integration capabilities within the Visual Studio Code editor or Jupyter Lab/ Jupyter Notebook interface. You can also use alternative download mechanisms or download / access only a specific demo folder. All demos are self-contained within their respective folders.

git clone https://github.com/sassoftware/sas-viya-workbench-demos

Contributing

At present, we accept contributions to this repository only from contributors within the SAS Software organisation. As this project evolves, we will consider contributions from a wider audience. Refer to the Contributing.md page for more details.

License

This project is licensed under the Apache 2.0 License.

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