Authors
Nathan Mannheimer, Product Manager, Advanced Analytics, Tableau
Tyler Martin, Senior Software Engineer, Advanced Analytics, Tableau

Partner Advanced Statistics with Data Visualization

When it comes to identifying patterns and building practical models, R is a statistical powerhouse, but sharing insights across an organization can be a challenge. Combining the power of R with visual analytics in Tableau means you can optimize and explore models with a few clicks. Share the results in an interactive dashboard—complete with filters, actions, and parameters—so your audience can leverage the full value of your analysis.

In this whitepaper, learn how data scientists leverage R and Tableau for:

  • Sentiment analysis
  • Prescriptive analytics
  • Decision trees
  • Statistical testing
  • Time-series analysis
  • What-if analysis

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About the authors

Nathan Mannheimer

Product Manager, Advanced Analytics, Tableau

Nathan is the Product Manager for Advanced Analytics at Tableau, working on capabilities and integrations to support data science and statistical analysis. The Advanced Analytics team is focused on delivering powerful tools that let people answer deeper questions, including features like k-means clustering and Python integration. Outside of Tableau, Nathan is a lecturer in the Data Science and Human Centered Design and Engineering masters programs at the University of Washington.

Tyler Martin

Senior Software Engineer, Advanced Analytics, Tableau

Tyler is a Senior Software Engineer for Advanced Analytics at Tableau, working on building features for data science and statistical analysis. Before coming to Tableau, Tyler received his M.Sc. from the University of Washington in Applied Mathematics, where he studied fluid dynamics.