R Markdown


R Markdown Lesser-Known Tips & Tricks #4: Looks Better, Works Better

September 14, 2022 |

In this series, we walk through lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. The final post focuses on making your document look and work better.


Automated Survey Reporting With googlesheets4, pins, and R Markdown

June 15, 2022 |

In this post, we walk through the tools and functionality we used to automate survey results reporting.


R Markdown Lesser-Known Tips & 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.


Exploring RStudio's Visual Markdown Editor

May 11, 2022 |

The RStudio IDE includes a visual markdown editor that displays changes in real-time and provides support for technical writing. This post walks through several features of visual editing mode.


Three Videos to Supercharge Your R Skills

January 18, 2022 |

In this blog post, we highlight three speakers from the RStudio Enterprise Community Meetup who share packages and tools to supercharge your R skills.


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.


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.


Rethink Reporting with Automation

May 28, 2021 |

Companies struggle with reporting. Specifically, they’re caught in a cycle of inefficient and error-prone workflows.


Interoperability in July

July 7, 2020 |

RStudio will be focusing on interoperability in this blog during the month of July, highlighting how data scientists are using other tools with R to perform their work.

rstudio::conf 2020

Of Teacups, Giraffes, & R Markdown

February 6, 2020 |

How do you make your R Markdown lessons feel friendly for learners you’ll never meet? How do you make it engaging so they sit and stay a while?


Interactivity in Production

October 8, 2019 |

Interactive products take your data science to a new level, but they require new coding decisions.


Reproducibility in Production

September 7, 2019 |

Computational documents offer limitless opportunities for your business. With them, your consumers can rerun your report with new parameters, apply your analysis to new data, or schedule updates.

rstudio::conf 2019

The lazy and easily distracted report writer: Using rmarkdown and parameterised reports

January 25, 2019 |

My brain is lazy, shallow and easily distracted. Learn how I use notebooks to keep my present-self organised, my future-self up to speed with what I was thinking months ago, and also how I use...

rstudio::conf 2019

pagedown: Creating beautiful PDFs with R Markdown and CSS

January 25, 2019 |

The traditional way to beautiful PDFs is often through LaTeX or Word, but have you ever thought of printing a web page to PDF? Web technologies (HTML/CSS/JavaScript) are becoming more and more...


Make PowerPoint Presentations with R Markdown

November 30, 2018 |

This webinar demonstrates how to create feature rich PowerPoint presentations from R Markdown and how to use these presentations to share insights, visualizations, Shiny apps, and more.


Reproducible Reporting

November 21, 2017 |

R Markdown and knitr make it easy to intermingle code and text to generate compelling reports and presentations that are never out of date.


Beyond static reports with R Markdown

July 26, 2017 |

R Markdown is an awesome tool for creating reproducible data science by way of PDFs and HTML reports but also goes way beyond that.


Sparklyr: Using Spark with RMarkdown

October 27, 2016 |

RStudio recently announced a new open-source package called sparklyr that facilitates a connection between R and Spark using a full-fledged dplyr backend with support for the entirety of Spark’s MLlib


Introducing Notebooks

July 27, 2016 |

R Markdown Notebooks are a powerful new construct in RStudio combining the strengths of the R Markdown ecosystem with the interactivity and immediacy of a notebook.


Introducing flexdashboards

June 8, 2016 |

Flexdashboard is an easy way to quickly create dashboards, ideal for publishing visualizations with flexible and easy to specify layouts.


Interactive Reporting

April 14, 2016 |

In a static report, you answer known questions. With a dynamic report, you give the reader the tools to answer their own questions.


Working with Big Data in R

January 28, 2016 |

R is the go to language for data exploration and development, but what role can R play in production with big data?


Getting started with R Markdown

January 28, 2016 |

Cut and paste for reporting doesn’t cut it anymore! In this webinar you’ll learn to write reports quickly and effectively with the R Markdown package.


January 1, 0001 |

In addition to the software we’ve written at RStudio, we’ve also authored these guides to our tools.