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freyja-btc19rdata's Issues
Dates
Suggest reporting dates as reported per region in the data, rather than the date that the data is pulled:
Line 60 in 52556e2
Will be helpful to do this in general in the case that datasets become deprecated.
Integrate new EU patches
See: appliedbinf/covid19-event-risk-planner#55
Waiting on a re=uploaded files
Vaccination data issue
Hi, @ar0ch and @freyja-bt.
The output of this operation produces entries with a date of NA (for some counties) at the tail of those counties entries
Line 65 in 0e90670
e.g. looking at Los Angeles county
tail(vacc_data_fill[which(vacc_data_fill$county=="6037"),])
# A tibble: 6 x 5
date county cnt_fully_vacc last_date is_last
<date> <dbl> <dbl> <date> <lgl>
1 2021-12-12 6037 6752641. 2021-12-07 FALSE
2 2021-12-13 6037 6766574. 2021-12-07 FALSE
3 2021-12-14 6037 6780506. 2021-12-07 FALSE
4 2021-12-15 6037 6794438 2021-12-15 FALSE
5 2021-12-16 6037 12463202. 2021-12-15 FALSE
6 NA 6037 18131967 2021-12-15 FALSE
This causes downstream issues for those counties in which an NA date is recorded.
Suggest adding something to the effect of
vacc_data = vacc_data[-which(is.na(vacc_data$date)),]
at L93
which instead produces:
tail(vacc_data_fill[which(vacc_data_fill$county=="6037"),])
# A tibble: 6 x 5
date county cnt_fully_vacc last_date is_last
<date> <dbl> <dbl> <date> <lgl>
1 2021-12-11 6037 6738709 2021-12-07 FALSE
2 2021-12-12 6037 6752641. 2021-12-07 FALSE
3 2021-12-13 6037 6766574. 2021-12-07 FALSE
4 2021-12-14 6037 6780506. 2021-12-07 FALSE
5 2021-12-15 6037 6794438 2021-12-15 FALSE
6 2021-12-16 6037 6794438 2021-12-15 TRUE
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