Exploratory Data AlexI wish to blur the line between _using_ a computer and _programming_ a computer.
There's this barrier between computer use and computer programming and it's mostly *not* computer science knowledge, but complexity of languages and the tools for working with them. I want to lower this barrier. I doubt that "low code" tools are the way, but rather, more powerful, higher-level languages and scripting interfaces with more approachable tooling.
Dean Marchiori@alexkyllo R is a nice case for this. very domain specific functional language. if you get criticism from CS purists you're generally on the right track
@deanmarchiori 💯 I actually think #rstats in RStudio is the best programming tool for most first-time programmers, at least those who are doing anything involving data, which is a lot of them. R is also surprisingly powerful and capable as a scripting language--it's designed for statistics but no longer as limited to that domain as people think.
David Keyes@alexkyllo @deanmarchiori That's exactly what I'm writing about in my book!
Dr. Kevin P. Taylor@dgkeyes @alexkyllo @deanmarchiori I look forward to reading the book. Do you have a ETA for it yet?
@ktaylor @alexkyllo @deanmarchiori Thanks! It will be out in print in 2024. There is an in-progress version here: https://book.rwithoutstatistics.com
About the Book | R Without Statistics
Since R was invented in 1993, it has become a widely used programming language for statistical analysis. From academia to the tech world and beyond, R is used for a wide range of statistical analysis. R Without Statistics will show ways that R can be used beyond complex statistical analysis. Readers will learn about a range of uses for R, many of which they have likely never even considered.