Here is how I like to use R, which can use the authors more introductory methods or full fledged data crunch:
Like I do all my other data sources, as code blocks inside an emacs-org notebook. If you are doing data science, you quickly find that it's management and combination of the various particular projects that becomes the most daunting (imho), and your data science notebook becomes the most important part of that organization. In that arena for me it's pretty much either jupyter or emacs org-mode.
Like I do all my other data sources, as code blocks inside an emacs-org notebook. If you are doing data science, you quickly find that it's management and combination of the various particular projects that becomes the most daunting (imho), and your data science notebook becomes the most important part of that organization. In that arena for me it's pretty much either jupyter or emacs org-mode.