R/data_abs_lga_education.R

In njtierney/conmat: Builds Contact Matrices using GAMs and Population Data

#' LGA wise ABS education population data on different ages for year 2016
#'
#' A dataset containing Australian Bureau of Statistics education data by
#'   lga for 2016. The data sourced from 2016 Census - Employment, Income and
#'   Education through TableBuilder have been randomly adjusted by the ABS to
#'   avoid the release of confidential data. As a result of this, there are
#'   some cases where the estimated number of people being educated is higher
#'   than the population of those people. Such cases have been flagged under the
#'   `anomaly_flag` variable.
#' @format A data frame with 64,264 rows and 8 variables:
#' \describe{
#'   \item{year}{2016, data is based on 2016 Census of Population and Housing.}
#'   \item{state}{String denoting abbreviated name of state or territory, for
#'     example, 'NSW', 'VIC', and 'QLD'.}
#'   \item{lga}{String denoting the official name of Local Government Area.
#'     For example, 'Albury (C).'}
#'   \item{age}{Ages from 0 to 115.}
#'   \item{population_educated}{Number of people educated including students
#'     with full-time, part-time status, as well as the people who mentioned
#'     just the type of educational institution they attend and not their
#'     student status.}
#'   \item{total_population}{Number depicting the total population belonging
#'     to the age.}
#'   \item{proportion}{Number denoting the measure of the ratio of
#'     educated population and total population belonging to the age i.e,
#'     population_educated / total_population}
#'   \item{anomaly_flag}{Logical variable flagging abnormal observations. E.g.,
#'     total population lesser than population_educated as TRUE.}
#' }
#' @source {Census of Population and Housing, 2016, TableBuilder}
"data_abs_lga_education"