Summaries of multiple columns about datafest HOT 3 CLOSED

That's on the shortlist for the next release: tidyverse/dplyr#2326

You can make it a little better by using logical vectors and putting everything in one mutate()

participants <- participants %>%
  mutate(
    major = tolower(major), 
    is_stat = str_detect(major, "stat"), 
    is_math = str_detect(major, "math"), 
    is_cs = str_detect(major, "computer"), 
    is_eng = str_detect(major, "eng"), 
    is_ns = str_detect(major, "natural"), 
    is_ss = str_detect(major, "social"), 
    is_other = !(is_stat & is_math & is_cs & is_eng & is_ns & is_ss)
  )

from datafest.

Depending on the structure, you might also be able to do something with tidyr::separate_rows() and spread()

from datafest.

Thanks. I've adopted the cleaner mutate suggestion up here, replacing & with | for is_other.

tidyr::separate_rows() looks promising, I hadn't used it before.

from datafest.