Import and format Australian Bureau of Statistics (ABS) TableBuilder files
Import and format Australian Bureau of Statistics (ABS) TableBuilder files
read_table_builder(dataset, filetype = "csv", sheet = 1, removeTotal = TRUE)
dataset |
Either a dataframe containing the original data from TableBuilder or a character string containing the path of the unzipped TableBuilder file. |
filetype |
A character string containing the filetype. Valid values are 'csv', 'legacycsv' and 'xlsx' (default = 'csv'). Required even when dataset is a dataframe. Use 'legacycsv' for csv files derived from earlier versions of TableBuilder for which csv outputs were csv versions of the xlsx files. Current csv output from TableBuilder follow a more standard csv format. |
sheet |
An integer value containing the index of the sheet in the xlsx file (default = 1). |
removeTotal |
A boolean value. If TRUE removes the rows and columns with totals (default = TRUE). |
The Australian Bureau of Statistics (ABS) provides customised tables for census and other datasets in a format that is difficult to use in R because it contains rows with additional information. This function imports the original (unzipped) TableBuilder files in .csv or .xlsx format before creating an R dataframe with the data.
data_dir <- system.file("extdata", package = "stplanr")
t1 <- read_table_builder(file.path(data_dir, "SA1Population.csv"))
if (requireNamespace("openxlsx")) {
t2 <- read_table_builder(file.path(data_dir, "SA1Population.xlsx"),
filetype = "xlsx", sheet = 1, removeTotal = TRUE
)
}
f <- file.path(data_dir, "SA1Population.csv")
sa1pop <- read.csv(f, stringsAsFactors = TRUE, header = FALSE)
t3 <- read_table_builder(sa1pop)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.