Photo by Alan Biglow on Unsplash Back in November, I took readers step by step through the somewhat long process of authenticating and downloading Google Analytics web site data into R. This post will be much simpler; I’m going to walk you through creating a dashboard showing blog post ...

This week, I’m taking a break from our regular blog content to write about some of the nitty-gritty data science we do within RStudio. Specifically, I’m going to address a question I was asked soon after joining the blogging team: Which of your blog articles received the most ...

As RStudio’s products have increasingly supported Python over the past year, some of our seasoned customers have given us quizzical looks and ask, “Why are you adding Python support? I thought you were an R company!” Jus...

Photo by Richard Gatley on Unsplash Data science leaders have embraced the work-from-home era created by COVID-19. Most data science teams have continued their work either using their company laptops or server-based IDEs such as RStu...

Photo by Mark Cruz on Unsplash The TIOBE Company just published the July edition of its TIOBE Programming Community Index of programming language popularity. R users will be pleased to see that R is now ranked as the 8th most popular programming language as shown in the screenshot below, having ...

Photo by Djurdjica Boskovic on Unsplash If your data science team experienced an abrupt transition to working at home, it may be a good time to rethink their development tools. In this post, I’ll talk about why laptop-centric data science gets in the way of strong data science teams ...

There’s an old saying (at least old in data scientist years) that goes, “90% of data science is data wrangling.” This rings particularly true for data science leaders, who watch their data scientists spend days painstakingly picking apart ossified corporate datasets or arcane Excel spreadsheets. Does data science really have ...