Daniel Petzold


RStudio Package Manager 2021.09.0 - Capturing and Maintaining Working Repositories

September 22, 2021

This release adds new management, service, and configuration options to RStudio Package Manager. Highlights include a more versatile repository calendar, more flexibility in serving multiple binary package versions, and more options for configuring git sources.


Announcing RStudio Workbench

June 2, 2021

RStudio Server Pro is now RStudio Workbench. With growing support for a wide range of development environments, we believe this new release is the best single platform to support open source, code-first data science, whether your team is using R or Python.


RStudio 1.4 - A quick tour

April 6, 2021

In case you missed the details of our recent release or would just like a quick tour, here's a set of videos highlighting our recent work on RStudio 1.4.


BI and Data Science: Deliver Insights Through Embedded Analytics

April 1, 2021

Continuing our series on self-service BI tools and code-first, open source data science, we explore embedded analytics and why they are a critical way for a data science team to deliver insights. We also discuss the unique needs that will be demanded of data science teams as they deliver insights that are secure, scalable, and flexible to multiple end user’s needs.


Announcing RStudio 1.4

January 19, 2021

RStudio 1.4 has now officially been released. We think this is a must-have upgrade because it delivers credible, agile, and durable tooling for serious data science.


How California Uses Shiny in Production to Fight COVID-19

November 19, 2020

RStudio analyzes how the California Department of Public Health built a COVID-19 dashboard in R and Shiny that now serves millions of California citizens.


Learning Data Science with RStudio Cloud: A Student's Perspective

September 17, 2020

Lara Zaremba, a student at Goethe University, shares her experiences using RStudio Cloud to learn data science and how it has empowered her to help teach others.


Why You Need a World Class IDE to Do Serious Data Science

July 9, 2020

Data Science presents challenges in the iteration of new research, unique business requirements, multiple technologies, accountability of results, and finding lasting solutions. Learn how an Integrated Development Environment (IDE) built for Serious Data Science tackles these issues head-on.