## OctW4 - analyze the [[cinemagoer]] code ## OctW3 - data [[imdb17_frank]] and [[imdb22]] doesn't seem to match well (heading, heading) - imdb_old: https://github.com/cinemagoer/cinemagoer/blob/996fde11697d72a1196b3619ec97cfb9599dd492/imdb/parser/sql/dbschema.py#L220 name, id, gender, - 13 vs 22 table (actor, title) - aiming for not pickle but [netcdf](https://docs.xarray.dev/en/v2022.10.0/user-guide/io.html#netcdf) ## OctW2 - 사람, title, mapping (합; actor, actress) - identifier match btw 13 and 22 (nm0000123 george clooney) - JC asked: 0. compare and document the coverage between them in terms of variables and entities; and any other salient differences. - [[fr17 2. I’ve attached the simplest version of my recent Elite Fragmentation and Power agent-based model. ## Data - variables - entities - other salient differences.