Way back in 2012, Harvard Business Review published an article that proclaimed “data scientist” to be the sexiest job of the 21st century. Interest in data science has exploded since then. Many great open source projects, such as Python and the R language for statistical computing, have facilitated the rapid developments in how we analyze data.

I started my career using pencil and paper and moved to spreadsheets. Now the R language is my weapon of choice when I need to create value from data. Emacs is another one of my favorite tools. This article briefly explains how to use the Emacs Speaks Statistics (ESS) package to get started with developing R projects in this venerable editor.

#r #emacs #data science

Analyzing data science code with R and Emacs
1.25 GEEK