library(googlesheets4)
library(tidyr)
library(dplyr)
library(stringr)
load("data/fips_codes.rda")
stat5730_url <- "https://docs.google.com/spreadsheets/d/1sbr0vrx6j28v7K9FX3wQPIQSOfRMiMEJ9kkAjTkfQ_s/edit?usp=sharing"
gs4_deauth()
stat5730_raw <- read_sheet(stat5730_url)
state_orders <- stat5730_raw %>%
# Convert the date-time to date
mutate_at(vars(stay_at_home:travel_restriction), as.Date) %>%
# Add fips
left_join(filter(fips_codes, is.na(county)), by = "state") %>%
pivot_longer(cols = stay_at_home:travel_restriction,
names_to = "order_type",
values_to = "date") %>%
mutate(order_type = str_replace_all(order_type, "_", " ")) %>%
select(date, state, fips, order_type) %>%
arrange(date)
usethis::use_data(state_orders, overwrite = TRUE)
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