Product How-To

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R Markdown Tips and Tricks #3: Time-savers & Trouble-shooters

May 18, 2022 |

In this series, we walk through lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. This third post focuses on features that save you time and trouble.

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R Markdown Lesser-Known Tips & Tricks #2: Cleaning Up Your Code

January 6, 2022 |

In this series, we show you lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. This second post focuses on cleaning up your R Markdown code.

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Integrating Dynamic R and Python Models in Tableau Using plumbertableau

December 20, 2021 |

The plumbertableau and fastapitableau packages allow you to integrate dynamic R and Python models in Tableau, enhancing your organization’s preferred dashboard tool.

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R Markdown Lesser-Known Tips & Tricks #1: Working in the RStudio IDE

November 22, 2021 |

In this series, we walk through lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. This first post focuses on working with R Markdown in the RStudio IDE.

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How to Use shinyMatrix and plotly Graphs as Inputs in a Shiny App

September 29, 2021 |

Taylor Rodgers, Senior Data Scientist and project lead at PKGlobal, walks through creating a powerful Shiny application with shinyMatrix and plotly for engineers, manufacturers, and plant workers.