Data science

Anscombe’s quartet in Python

January 8, 2022 | George Mount

Anscombe’s quartet is a well-known statistical parlor trick with a powerful message. Fortunately, with the help of the seaborn package as well as pandas, it can be demonstrated in Python with just a few lines of code, which you can follow along with below: Moral of the story What ...
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Here’s how R and Python think differently about data

January 8, 2022 | George Mount

I’m a big believer that data analysts will derive far more value from their tools when they understand the underlying philosophy and worldview of those tools. For example, the way that open source code is created and maintained gives it distinct advantages and disadvantages over proprietary software. And if ...
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2021 at RStudio: A Year in Review

January 4, 2022 | Python on RStudio

Photo by Eyestetix Studio on Unsplash Happy New Year! As we’re settling back into our routines, we wanted to share some highlights of the work done across the company last year. This is just a few of our teams’ great accomplishments in supporting the R...
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What data analysts should know about open source

December 31, 2021 | George Mount

For a long time, many data analysts worked firmly ensconsed in the Microsoft stack — definitely Excel, maybe some Access, PowerPoint or VBA serving as the automative glue. If it wasn’t Microsoft, it was some other proprietary toolkit from IBM or Oracle, paid off-the-shelf software, and so forth. These days? ...
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