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covid_hosp_facilitytotal_adult_patients_hospitalized_confirmed_covid_7_day_avg contains lots of -999999, but also has NAs. The -999999 could easily lead to errors in analyses. Should we change these to NA before adding them to our system? Or do we want to re-report as-is?
The text was updated successfully, but these errors were encountered:
theres presumably some significance to the distinction between that value and a null. perhaps we should contact the dataset curators for clarification to help us decide.
Suppression is applied to the file for sums and averages less than four (4). In these cases, the field will be replaced with “-999,999”.
But I have also seen 0s in the data. So maybe --- for the sum I was looking at --- this is just for [1..3], or maybe it's inconsistently for [1..3] or [0..3] depending on facility/time/mood/etc. For other sums or other averages, I don't know if it's consistent.
covid_hosp_facility
total_adult_patients_hospitalized_confirmed_covid_7_day_avg
contains lots of -999999, but also has NAs. The -999999 could easily lead to errors in analyses. Should we change these toNA
before adding them to our system? Or do we want to re-report as-is?The text was updated successfully, but these errors were encountered: