Replies: 1 comment 1 reply
-
This is a great initiative. Right now demographic data is clunky (at best!) to normalize. Given current tools/infrastructure, we resort to long dicts mapping column names to CMU: https://github.com/covid-projections/can-scrapers/blob/e3a933ec7fb22ccdbb7c0ddd1a9545c967dfa213/can_tools/scrapers/official/DC/dc_cases.py I see the new |
Beta Was this translation helpful? Give feedback.
1 reply
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
Wanted to see what ways would make dealing with demographic data a little bit easier.
https://github.com/covid-projections/can-scrapers/compare/demographic-data-demo?expand=1
I would like to flesh this example out a bit more but just wondering if there's code we're already using to mold demographic data to our liking and if we could solidify a couple patterns
Beta Was this translation helpful? Give feedback.
All reactions