>Data wrangling with R and RStudio Download Materials Description A recent article from the New York Times said “Data scientists, according to interviews and expert estimates, spend from 50 percent to 80 percent of their time mired in the mundane labor of collecting and preparing data, before it can be…
I watched this webinar this morning by Rstudio about the tidyr and dplyr packages. On data.gov I have found data in all sorts of crazy conditions, and munging (which is now called 'wrangling') it is always the hardest part.
I am still using the command line R, but will be considering soon whether to get RSudio or Architect as an IDE, and would love to hear any opinions in the comments!
This webinar is a fast flyover of some commands and a pretty nice tutorial on basic wrangling, I may want to come back and watch a few parts again. Anticipating using the link a second time is my current heuristic for posting it on dlike. How do you decide what to share here?
Source of shared Link
