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Viva Insights Sample Code Library

This repository contains sample code for the Viva Insights open-source packages, including code that is used in tutorials or demos. The sample code shown in this repository cover more elaborate scenarios and examples that leverage, but are not included in the R and Python packages themselves.

🌐 Browse the Sample Code Website

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Depending on the specific example, the sample script may be in the format of a RMarkdown (.Rmd), Jupyter Notebook (.ipynb), or raw R and Python files. In most of these examples, you will be expected to run the scripts on top of flexible query exports from the Viva Insights Analyst portal.

Contents

Explore the repo to discover sample code:

Essentials

Regression and machine learning

Network analysis

Copilot Analytics

Other

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

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Sample Code for the Viva Insights R and Python libraries

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