#' Inserts other communities data (Crime - random health etc)
#'
#' @param log log file to save output to - defaults to
#'
#' @return
#' Logical - TRUE for worked ok.
#' @export
#'
#' @import purrr
#' @import dplyr
#' @import glue
#' @import tidyxl
#' @import unpivotr
#'
#' @examples
#' run_updates()
#'
#'
#'
#'
insert_communities_socpol <- function(log = "") {
bf_fl <- "Q:/Teams/D&PA/Social Policy/COVID-19 data/Recovery Dashboard data/BF data for Resilience Dashboard March 2021.xlsx"
xfl <- "insert_communities_socpol"
#### borrowing while earning less ####
tryCatch({
xlsx_cells(bf_fl, "1") %>%
behead("N", "dt") %>%
behead("W", "indicator") %>%
behead("W", "svyqn") %>%
filter(!is.na(numeric)) %>%
mutate(dataset = "brrw", xwhich = 2, xvarchar = "", xvardt = as.Date(dt),
yval = numeric, yvllb = "", text = format(as.Date(dt), "%b '%y")) %>%
insert_db(log = log, excfl = xfl)
}, error = function(e){error_log(e, "Communities - socpol")})
#### Rent ####
tryCatch({
shorter <- c("Whether not up to date with rent or mortgage" = "All",
"Own outright or with mortgage" = "Own/mortgage",
"Rented" = "Rented")
xlsx_cells(bf_fl, "2") %>%
behead("N", "dt") %>%
behead("W", "indicator") %>%
behead("W", "svyqn") %>%
mutate(sub = shorter[svyqn]) %>%
filter(!is.na(numeric)) %>%
mutate(dataset = "rnt", xwhich = 2, xvarchar = "", xvardt = as.Date(dt),
yval = numeric, yvllb = sub, text = format(as.Date(dt), "%b '%y")) %>%
insert_db(log = log, excfl = xfl)
}, error = function(e){error_log(e, "Communities - socpol")})
#### Behind with bills ####
tryCatch({
xlsx_cells(bf_fl, "3") %>%
behead("N", "dt") %>%
behead("W", "indicator") %>%
behead("W", "svyqn") %>%
filter(!is.na(numeric)) %>%
mutate(dt = as.Date(dt)) %>%
mutate(dataset = "blls", xwhich = 2, xvarchar = "", xvardt = as.Date(dt),
yval = numeric, yvllb = "", text = format(as.Date(dt), "%b '%y")) %>%
insert_db(log = log, excfl = xfl)
}, error = function(e){error_log(e, "Communities - socpol")})
#### Food Insecurity ####
tryCatch({
xlsx_cells(bf_fl, "4") %>%
behead("N", "dt") %>%
behead("W", "indicator") %>%
# select(dt, indicator, value = numeric) %>%
filter(!is.na(numeric)) %>%
mutate(date = str_replace(dt, "^(.*)-(.*)$", "\\2") ) %>%
mutate(date = as.Date(date, format = "%d %b %Y")) %>%
mutate(dataset = "fdins", xwhich = 2, xvarchar = "", xvardt = date,
yval = numeric, yvllb = "", text = format(date, "%b '%y")) %>%
insert_db(log = log, excfl = xfl)
}, error = function(e){error_log(e, "Communities - socpol")})
#### Life Satisfaction ####
tryCatch({
xlsx_cells(bf_fl, "5") %>%
behead("N", "dt") %>%
behead("W", "indicator") %>%
behead("W", "svyqn") %>%
filter(!is.na(numeric)) %>%
mutate(xvardt = as.Date(dt)) %>%
# select(dt, indicator, value = numeric, svyqn) %>%
mutate(dataset = "lfsat", xwhich = 2, xvarchar = "",
yval = numeric, yvllb = "", text = format(xvardt, "%b '%y")) %>%
insert_db(log = log, excfl = xfl)
}, error = function(e){error_log(e, "Communities - socpol")})
#### Anxiety ####
tryCatch({
xlsx_cells(bf_fl, "6") %>%
behead("N", "dt") %>%
behead("W", "indicator") %>%
behead("W", "svyqn") %>%
# select(dt, indicator, value = numeric, svyqn) %>%
mutate(date = str_replace(dt, "^(.*)-(.*)$", "\\2 2020") ) %>%
mutate(date = as.Date(date, format = "%d %B %Y")) %>%
mutate(dataset = "anx", xwhich = 2, xvarchar = "", xvardt = date,
yval = numeric, yvllb = "", text = format(date, "%b '%y")) %>%
insert_db(log = log, excfl = xfl)
}, error = function(e){error_log(e, "Communities - socpol")})
#### Loneliness ####
tryCatch({
xlsx_cells(bf_fl, "7") %>%
behead("N", "dt") %>%
behead("W", "indicator") %>%
behead("W", "svyqn") %>%
filter(!is.na(numeric)) %>%
mutate(date = as.Date(dt)) %>%
mutate(dataset = "lnl", xwhich = 2, xvarchar = "", xvardt = date,
yval = numeric, yvllb = "", text = format(date, "%b '%y")) %>%
insert_db(log = log, excfl = xfl)
}, error = function(e){error_log(e, "Communities - socpol")})
#### Get Help if needed ####
tryCatch({
xlsx_cells(bf_fl, "8") %>%
behead("N", "yr") %>%
behead("W", "indicator") %>%
behead("W", "svyqn") %>%
filter(!is.na(numeric)) %>%
mutate(dataset = "hlp", xwhich = 1, xvarchar = yr, xvardt = NA,
yval = numeric, yvllb = "", text = "") %>%
select(dataset, xwhich, xvarchar, xvardt, yval, yvllb, text) %>%
insert_db(log = log, excfl = xfl)
}, error = function(e){error_log(e, "Communities - socpol")})
#### Talk to neighbours ####
tryCatch({
xlsx_cells(bf_fl, "9") %>%
behead("N", "yr") %>%
behead("W", "indicator") %>%
behead("W", "svyqn") %>%
filter(!is.na(numeric)) %>%
mutate(dataset = "nghb", xwhich = 1, xvarchar = yr, xvardt = NA,
yval = numeric, yvllb = "", text = "") %>%
insert_db(log = log, excfl = xfl)
}, error = function(e){error_log(e, "Communities - socpol")})
#### Informal volunteering ####
tryCatch({
xlsx_cells(bf_fl, "10") %>%
behead("N", "yr") %>%
behead("W", "indicator") %>%
behead("W", "svyqn") %>%
filter(!is.na(numeric)) %>%
mutate(dataset = "infhlp", xwhich = 1, xvarchar = yr, xvardt = NA,
yval = numeric, yvllb = "", text = "") %>%
insert_db(log = log, excfl = xfl)
}, error = function(e){error_log(e, "Communities - socpol")})
#### Formal volunteering ####
tryCatch({
xlsx_cells(bf_fl, "11") %>%
behead("N", "yr") %>%
behead("W", "indicator") %>%
behead("W", "svyqn") %>%
filter(!is.na(numeric)) %>%
mutate(dataset = "fmlvol", xwhich = 1, xvarchar = yr, xvardt = NA,
yval = numeric, yvllb = "", text = "") %>%
insert_db(log = log, excfl = xfl)
}, error = function(e){error_log(e, "Communities - socpol")})
#### Cohesion ####
tryCatch({
xlsx_cells(bf_fl, "12") %>%
behead("N", "dt") %>%
behead("W", "indicator") %>%
behead("W", "svyqn") %>%
behead("W", "last_year") %>%
filter(!is.na(numeric)) %>%
# select(dt, indicator, value = numeric, svyqn, last_year) %>%
mutate(date = as.Date(dt)) %>%
mutate(dataset = "coh", xwhich = 2, xvarchar = "", xvardt = date,
yval = numeric, yvllb = "", text = format(date, "%b '%y")) %>%
insert_db(log = log, excfl = xfl)
}, error = function(e){error_log(e, "Communities - socpol")})
#### Physical Activity ####
tryCatch({
xlsx_cells(bf_fl, "13") %>%
behead("N", "dt") %>%
behead("W", "indicator") %>%
behead("W", "svyqn") %>%
filter(!is.na(numeric)) %>%
mutate(date = str_replace(dt, "^(.*)-(.*)$", "\\2 2020") ) %>%
mutate(date = as.Date(date, format = "%d %B %Y")) %>%
mutate(dataset = "phys", xwhich = 2, xvarchar = "", xvardt = date,
yval = numeric, yvllb = "", text = format(date, "%d %b '%y")) %>%
insert_db(log = log, excfl = xfl)
}, error = function(e){error_log(e, "Communities - socpol")})
#### Prevalence ####
tryCatch({
xlsx_cells(bf_fl, "14") %>%
behead("N", "xvarchar") %>%
behead("W", "indicator") %>%
behead("W", "yvllb") %>%
mutate(dataset = "prvl", xwhich = 1, xvardt = NA,
yval = numeric, text = "") %>%
insert_db(log = log, excfl = xfl)
}, error = function(e){error_log(e, "Communities - socpol")})
}
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