update: psych extract #283
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hjohns12
approved these changes
Jul 16, 2021
erika-tyagi
requested changes
Jul 22, 2021
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+47
| north_carolina_psychiatric_extract <- function(x){ | ||
| x | ||
| main_mat <- x[[1]][[1]] | ||
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| comb_df <- bind_rows(lapply(x, function(z){ | ||
| main_mat <- z[[1]] | ||
| first_name <- unlist(main_mat[1,]) | ||
| first_name[which(first_name != "")-1] <- unname( | ||
| first_name[which(first_name != "")]) | ||
| second_name <- unlist(main_mat[2,]) %>% | ||
| {ifelse(. == "Cases", "Confirmed", .)} %>% | ||
| str_remove_all("\\*") | ||
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| names(main_mat) <- str_c(first_name, second_name, sep = ".") %>% | ||
| str_replace(".Facility", "Facility") | ||
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| main_mat[3:nrow(main_mat),] %>% | ||
| as_tibble() | ||
| })) |
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Hmm I think something is happening here where the actual Resident Deaths are being assigned to .Deaths (which gets dropped in the validate() and then the column called Residents.Deaths is just NAs and 0s.
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Added 4 new scrapers. Wrote up what a potential scraper looks like for Arkansas and I think we should keep collecting the raw file however the data in the file includes more than just Psychiatric facilities and overlaps with prisons and jails. Additionally, the facility level data that is reported is inconsistent and I think we should just pull that data manually at the end of the project. The CA staff psychiatric data is no longer needed as that data is grabbed in the the main ca psychiatric scraper.