Carl Howe

Carl Howe is the Director of Education at RStudio and has been a dedicated R user since 2002. Carl leads a team of professional educators and data scientists at RStudio whose mission to train the next million R users globally. Carl regularly teaches workshops on topics such as reproducible R Markdown and RStudio’s Pro products to help R beginners become productive more quickly. Carl lives with his wife Carolyn in Stow, Massachusetts at the pleasure of his two cats.


Enjoy More rstudio::global(2021)

February 1, 2021

The 24 hours of rstudio::global(2021) may be over, but you can still catch up on the talks you missed. Replay all the global keynotes and talks at


rstudio::global(2021) Starts Tomorrow!

January 20, 2021

The 24 hours of rstudio::global(2021) start tomorrow! Register now if you haven't and enroll for the sessions that are most convenient for your local time.


Last Call for the 2020 R Community Survey

January 7, 2021

Only 2 days left before our survey closes! Please fill out our 3nd annual survey so that we can better understand today's R community. We'll publish the results in February 2021 as free and open source data.


Custom Google Analytics Dashboards with R: Building The Dashboard

January 6, 2021

In this post, I continue our series on how to create your own Google Analytics dashboard in R. Using the data we downloaded in our last post, we'll now create a simple dashboard showing blog page views over time and highlighting the most popular ones.


Announcing the 2020 R Community Survey

December 11, 2020

Want data about how people learn and use R? If so, please fill out our 3nd annual survey so that we can better understand today's R community. We'll publish the results in February 2021 as free and open source data.


Custom Google Analytics Dashboards with R: Downloading Data

November 27, 2020

This article, the first of three, describes how to use a code-oriented data science approach to Google Analytics data from a blog. It creates custom views of raw GA data while hiding the complexity of the Google Analytics data and interface


Why RStudio Focuses on Code-Based Data Science

November 17, 2020

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.


Why RStudio Supports Python for Data Science

October 30, 2020

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


Ease Uncertainty by Boosting Your Data Science Team's Skills

September 23, 2020

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 value better.


Debunking R and Python Myths: Answering Your Questions

September 10, 2020

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 shortest amount of time.


3 Fun Shiny Apps for Your Long Labor Day Weekend

September 4, 2020

We offer 3 entertaining Shiny apps plus a bonus app from our 2nd Annual Shiny Contest that will help you forget work over Labor Day weekend


3 Ways to Expand Your Data Science Compute Resources

August 27, 2020

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 resources without breaking the bank


Debunking the R vs. Python Myth

August 26, 2020

For data science to be credible, agile and durable, we need to embrace the differences between R vs. Python.


3 Wild-Caught R and Python Applications

July 28, 2020

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.


Interoperability: Getting the Most Out of Your Analytic Investments

July 15, 2020

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 scientists can access everything they need from their native tools.


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.


Does your Data Science Team Deliver Durable Value?

June 24, 2020

Delivering persistent value over the long haul from your data science team requires reusability, reproducibility, and up-to-date insights, built on a sustainable platform.


Is Your Data Science Team Agile?

June 9, 2020

Data science teams struggle to deliver results quickly. Agile techniques such as rapid iteration and continuous collaboration with stakeholders can help overcome these challenges.


Is Your Data Science Credible Enough?

June 2, 2020

For Data Science to be applied, decision makers must trust and accept the insights. Your team needs the tools to find relevant insights, and to communicate these insights in a way that builds trust and understanding.


The Role of the Data Scientist

May 27, 2020

A slew of new vendors believe that no-code analytics and visualization tools can replace the role of the traditional data scientist. This brief describes why we believe organizations will demand pro-code data scientists for years to come.

rstudio::conf 2020

Data Science Education in 2022

February 6, 2020

More people are learning data science every day, and there are more ways for them to learn than ever before.

rstudio::conf 2019

The next million R users

January 25, 2019

Many students believe that R is obscure, complex, and difficult to write. However, data from a new large-scale survey of R users conducted by RStudio shows that new R users are taking...