Leveraging R amp Python in Tableau with RStudio Connect James Blair RStudio

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Leveraging R Python in Tableau with RStudio Connect • Overview Demo / Q A with James Blair • Tableau combines the ease of drag-and-drop visual analytics with an open, extensible platform. RStudio develops free and open tools for data science, including the world’s most popular IDE for R. RStudio also develops an enterprise-ready, modular data science platform to help data science teams using R and Python scale and share their work. • Now, with new functionality in RStudio Connect, users can have the best of both worlds. Tableau users can call R and Python APIs from Tableau calculated fields, getting access to all the power and analytic depth of these open-source data science ecosystems in real-time. • For Tableau users, this makes it easy to add dynamic, advanced analytic features from R and Python to a Tableau dashboard, such as scoring predictive models on Tableau data. They can leverage all the great work done by their organization’s data science team and even call both R and Python APIs from a single dashboard. • Data science teams can continue to use the code-first development and deployment tools from RStudio that they know and love. Using these tools, they can build and share R APIs (using the plumber package) and Python APIs (using the FastAPI framework). • Speaker Bio: • James is a Solutions Engineer at RStudio, where he focuses on helping RStudio commercial customers successfully manage RStudio products. He is passionate about connecting R to other toolchains through tools like ODBC and APIs. He has a background in statistics and data science and finds any excuse he can to write R code. • A few other helpful links: • Tableau Integration Documentation: https://docs.rstudio.com/rsc/integrat... • Tableau / RStudio Connect Blog Post: https://blog.rstudio.com/2021/10/12/r... • Embedding Shiny Apps in Tableau using shinytableau blog: https://blog.rstudio.com/2021/10/21/e... • James' slides: https://github.com/blairj09-talks/rst...

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