Andrew Martin
Andrew Martin
although there are some student 'facts' that remain (or are generally considered to remain) immutable over time (DOB, gender etc), we don't want to create a data structure to normalize...
am thinking about what kinds of cuts you'd want 'out of the box' with `nyt_subgroups`. presumably one at-risk group you'd want to surface is kids who didn't grow last term...
hadley says: > Generally, you want to export a minimal set of functions; the fewer you export, the > smaller the chance of a conflict. we'll want to export most...
a terrible job, but someone's going to have to do it
located [here](https://github.com/chrishaid/sqrpr/blob/master/R/sysdata.rda) for cgp calcs for low/high cohorts
the MAP data frame does some awkward stuff - for instance, schools get identified only by 'schoolname', which, uh, is prone to error. how do we want to do localization?...
I created this for a datacleaning demo / development session, and I forked `iris.csv` to include some additional pitfalls of dirty data - periods for omitted data, spaces, etc. Figured...