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license: mit |
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library(readrba) | |
library(tidyverse) | |
theme_anz <- function(...) { | |
theme_minimal(...) + | |
theme(panel.grid.major.x = element_blank(), | |
panel.grid.minor = element_blank(), | |
legend.position = "bottom", | |
legend.direction = "horizontal", | |
legend.title = element_blank(), |
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library(readxl) | |
library(tidyverse) | |
library(lubridate) | |
library(janitor) | |
rents_url <- "https://www.dffh.vic.gov.au/moving-annual-rents-suburb-june-quarter-2021-excel" | |
rents_loc <- tempfile(fileext = ".xlsx") | |
download.file(url = rents_url, | |
destfile = rents_loc, |
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library(tidyverse) | |
library(readabs) | |
library(readxl) | |
library(lubridate) | |
hes_file <- download_abs_data_cube("household-expenditure-survey-australia-summary-results", | |
"do001") | |
hes_raw <- read_excel(hes_file, sheet = "Table 1.1", range = "A33:H47", | |
col_names = c("cat", "1984", "1988–89", "1993–94", "1998–99", "2003–04", "2009–10", "2015–16")) |
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library(OECD) | |
library(tidyverse) | |
library(lubridate) | |
library(countrycode) | |
oecd_cpi_raw <- get_dataset("PRICES_CPI", | |
"AUS+CAN+JPN+GBR+USA+EA19.CPALTT01.GY.Q+M") | |
oecd_cpi <- oecd_cpi_raw |> | |
janitor::clean_names() |> |
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library(tidyverse) | |
library(readrba) | |
forecasts <- rba_forecasts() | |
latest_two <- forecasts |> | |
filter(forecast_date %in% c(max(forecast_date), | |
max(forecast_date) - months(3))) | |
latest_two |> |
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library(tidyverse) | |
library(readabs) | |
vac_raw <- read_abs_series("A85389466F") | |
ur_raw <- read_abs_series("A84423050A") | |
ur <- ur_raw |> | |
mutate(value = slider::slide_mean(value, before = 2L)) |> | |
select(date, ur = value) |
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# This code provides a way to download table(s) from the Estimate Dwelling Stock | |
# release, which has not (yet) been added to the ABS Time Series Directory | |
# and therefore cannot be loaded by readabs::read_abs() | |
get_dwell_table <- function(table_no = 1, path = tempdir()) { | |
table_no <- match.arg(as.character(table_no), as.character(1:9)) | |
filename <- paste0("87010", table_no, ".xlsx") | |
file <- readabs::download_abs_data_cube("estimated-dwelling-stock", | |
filename, | |
path = path) |
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c("JUN-16", "SEP-16", "DEC-16", "MAR-17", "JUN-17", "SEP-17", "DEC-17", "MAR-18", "JUN-18", "SEP-18", "DEC-18", "MAR-19", "JUN-19", "SEP-19", "DEC-19", "MAR-20", "JUN-20", "SEP-20", "DEC-20", "MAR-21", "JUN-21", "SEP-21", "DEC-21", "MAR-22", "JUN-22", "JUN-16", "SEP-16", "DEC-16", "MAR-17", "JUN-17", "SEP-17", "DEC-17", "MAR-18", "JUN-18", "SEP-18", "DEC-18", "MAR-19", "JUN-19", "SEP-19", "DEC-19", "MAR-20", "JUN-20", "SEP-20", "DEC-20", "MAR-21", "JUN-21", "SEP-21", "DEC-21", "MAR-22", "JUN-22", | |
"JUN-16", "SEP-16", "DEC-16", "MAR-17", "JUN-17", "SEP-17", "DEC-17", "MAR-18", "JUN-18", "SEP-18", "DEC-18", "MAR-19", "JUN-19", "SEP-19", "DEC-19", "MAR-20", "JUN-20", "SEP-20", "DEC-20", "MAR-21", "JUN-21", "SEP-21", "DEC-21", "MAR-22", "JUN-22", "JUN-16", "SEP-16", "DEC-16", "MAR-17", "JUN-17", "SEP-17", "DEC-17", "MAR-18", "JUN-18", "SEP-18", "DEC-18", "MAR-19", "JUN-19", "SEP-19", "DEC-19", "MAR-20", "JUN-20", "SEP-20", "DEC-20", "MAR-21", "JUN-21", "SEP-21", "DEC-21", "MAR-22", "JUN-22", "JUN-16", | |
"SEP-16", |
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library(readabs) | |
path <- file.path(tempdir(), "abs_dwellings") | |
dir.create(path) | |
dwellings_sa2_zip <- download_abs_data_cube("estimated-dwelling-stock", | |
"zip", | |
path = path) | |
zip::unzip(dwellings_sa2_zip, |
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