Subsetting Lecture and Lab

[avahoffman]

Lecture

• [ ] The gut check on slide 35 was a bit confusing. Might get rid of the "NOT" and just ask what would work well.
• [ ] The gut check on slides 48 was also a bit tricky - some folks got it, but I have been trying to put the gut check immediately after the concept to be "just in time-y"
• [ ] Also might consider reframing how pull() is discussed.. you mentioned convenience of viewing the values a lot, but I feel like the major reason you really need pull() is to make a vector, and I wonder if this confused them
• [ ] Slide 65 gut check I would simplify to either testing knowledge of filter() or | vs & - maybe both is too much?
• [ ] [BUG‼️🐛] Typo at the beginning of part 3 - It should be https://daseh.org/data/CO_ER_heat_visits.csv

Lab

• [x] Remove library(dplyr) from the lab, redundant with loading tidyverse. (resolved by #202 )
• [ ] Key has the wrong number of columns for ces, showing 68 not 67 - probably just needs to rerender.
• [ ] Could reorder the 2.5-2.6 questions so that asthma comes first.
• [ ] had someone do filter(ces_sub, Asthma > 100 & Traffic < 500 | Traffic==500) -- how does order of operations work with filter?

[carriewright11]

• [ ] lecture: alignment of the cheetsheets could be fixed for the lab2 slide

[carriewright11]

• [ ] lecture: before section 2 would be helfpful to assign reading in the data to er - just like before section 3:

  er <- read_csv("https://daseh.org/data/Colorado_ER_heat_visits.csv")

  set.seed(1234) er_30 <-slice_sample(er, n = 30)

[carriewright11]

• [ ] in summary of part 2 point out that there are extra slides on having multiple patterns for selection

[carriewright11]

• [ ] add a mention of the new pipe