I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

R vs Python: What are the main differences? Your email has been sent More people will find their way to Python for data science workloads, but there’s a case to for making R and Python complementary, ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

Data analytics software provider Periscope Data Inc. is updating its Unified Data Platform with support for the Python and R programming languages, as well as the Structured Query Language that’s used ...

It’s easy to automate the creation of Word documents with Quarto, a free, open-source technical publishing system that works with R, Python, and other programming languages. There are several ways to ...

What are some use cases for which it would be beneficial to use Haskell, rather than R or Python, in data science? originally appeared on Quora: the place to gain and share knowledge, empowering ...

The language R is in the midst of a sizzling resurgence this summer. One might hypothesize that this growth is coming at the expense of Python, by far the dominant language for data science. But some ...

Get the latest federal technology news delivered to your inbox. Last month, McKinney announced the founding of Ursa Labs, an innovation group intended to improve data-science tools. McKinney will ...