Latest: Data Science Leadership

Nov 19 2020
10 min
How California Uses Shiny in Production to Fight COVID-19

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.

Daniel Petzold
Nov 17 2020
13 min
Why RStudio Focuses on Code-Based Data Science

Michael Lippis of The Outlook podcast recently interviewed RStudio's Lou Bajuk to discuss open source data science, support for R and Python, and how leaders are getting value from data science.

Lou Bajuk , Carl Howe
Nov 12 2020
7 min
Where Does RStudio Fit into Your Cloud Strategy?

Over the last few years, more companies have begun migrating their data science work to the cloud. As they do, they naturally want to bring along their favorite data science tools, including RStudio,...

Lou Bajuk
Oct 30 2020
6 min
Why RStudio Supports Python for Data Science

When our customers ask us why RStudio's products support Python as well, we have a simple answer: It's because our data shows that our customers use R and Python for different tasks

Carl Howe
Oct 13 2020
9 min
Open Source Data Science in Investment Management

Photo by Kelly Sikkema on Unsplash Surviving the Data Deluge Many of the strategies at my old investment shop were thematically oriented. Among them was the notion of the “data deluge.” We...

Art Steinmetz
Oct 8 2020
7 min
Using R to Drive Agility in Clinical Reporting: Questions and Answers

Andy Nicholls and Michael Rimler from healthcare firm GlaxoSmithKline plc (GSK) answer questions posed during their recent webinar, Using R to Drive Agility in Clinical Reporting.

Andy Nicholls , Michael Rimler
Sep 25 2020
3 min
RStudio Named Strong Performer in the Forrester Wave™: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020

Read The Forrester Wave™: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020 Report to learn why RStudio was named a Strong Performer by this independent research firm, and received the...

Lou Bajuk
Sep 23 2020
3 min
Ease Uncertainty by Boosting Your Data Science Team's Skills

To help address some of the uncertainty data science leaders may be feeling heading into the fall planning season, we note three new resources to help your team learn new skills and communicate their...

Carl Howe
Sep 10 2020
17 min
Debunking R and Python Myths: Answering Your Questions

In this post, we answer questions raised by participants and attendees during our recent Debunking R & Python Myths webinar. Our bottom line was to use the tools that let you be most productive in the...

Samantha Toet , Carl Howe
Aug 27 2020
4 min
3 Ways to Expand Your Data Science Compute Resources

Data scientists frequently have computational needs that stretch far beyond their laptops. Data science leaders should embrace features of RStudio Server that give data scientists access to shared IT...

Carl Howe
Aug 20 2020
4 min
Why Package & Environment Management is Critical for Serious Data Science

The renv package helps create reproducible project environments that are critical for data science teams to deliver real, lasting value.

Mike Garcia
Aug 17 2020
4 min
R & RStudio - The Interoperability Environment for Data Analytics

From design philosophies to current development priorities, R with RStudio is a wonderful environment for anyone who seeks understanding through the analysis of data. Here's why.

Curtis Kephart
Aug 5 2020
3 min
Do, Share, Teach, and Learn Data Science with RStudio Cloud

RStudio is proud to announce the general availability of RStudio Cloud, its cloud-based platform for doing, teaching, and learning data science. WIth RStudio Cloud, there's nothing to configure and no...

Lou Bajuk
Jul 28 2020
6 min
3 Wild-Caught R and Python Applications

In this post I present three "wild-caught" examples solicited from the R community of how they use interoperability between R, Python and other languages to solve real-world problems.

Carl Howe
Jul 15 2020
6 min
Interoperability: Getting the Most Out of Your Analytic Investments

No single platform meets all the analytic needs of every organization. To avoid productivity-sapping complexity and underutilized infrastructure, encourage Interoperability so that your data...

Lou Bajuk , Carl Howe