read_cpi: Download a tidy tibble containing the Consumer Price Index...

In readabs: Download and Tidy Time Series Data from the Australian Bureau of Statistics

Download a tidy tibble containing the Consumer Price Index from the ABS

Description

read_cpi() uses the read_abs() function to download, import, and tidy the Consumer Price Index from the ABS. It returns a tibble containing two columns: the date and the CPI index value that corresponds to that date. This makes joining the CPI to another dataframe easy. read_cpi() returns the original (ie. not seasonally adjusted) all groups CPI for Australia. If you want the analytical series (eg. seasonally adjusted CPI, or trimmed mean CPI), you can use read_abs().

Usage

read_cpi(
  path = Sys.getenv("R_READABS_PATH", unset = tempdir()),
  show_progress_bars = TRUE,
  check_local = FALSE,
  retain_files = FALSE
)

Arguments

path	character; default is "data/ABS". Only used if retain_files is set to TRUE. Local directory in which to save downloaded ABS time series spreadsheets.
show_progress_bars	logical; TRUE by default. If set to FALSE, progress bars will not be shown when ABS spreadsheets are downloading.
check_local	logical; FALSE by default. See ?read_abs.
retain_files	logical; FALSE by default. When TRUE, the spreadsheets downloaded from the ABS website will be saved in the directory specified with 'path'.

Examples

# Create a tibble called 'cpi' that contains the CPI index
# numbers for each quarter

cpi <- read_cpi()


# This tibble can now be joined to another to help streamline the process of
# deflating nominal values.

readabs documentation built on Aug. 8, 2023, 9:06 a.m.