#' Test Data
#'
#' A simple dataset that presents varied data types to facilitate
#' testing
#'
#' @format A data frame with 10 rows and 9 columns:
#' \describe{
#' \item{fld_factor}{A field with values in "a","b","c"}
#' \item{fld_datetime}{A field with datetime values}
#' \item{fld_date}{A field with date values}
#' \item{fld_time}{A field with time values}
#' \item{fld_binary}{A field with 1s or 0s}
#' \item{fld_integer}{A field with integer values}
#' \item{fld_double}{A field with double precision values}
#' \item{fld_character}{A field with character values}
#' \item{fld_logical}{A field with logical values}
#' }
"testdata"
#' Test Data Large
#'
#' A test dataset with slightly more data. At present this is just
#' a variation of good ol' iris with renamed fields
#'
#' @format A data frame with 150 rows and 5 columns:
#' \describe{
#' \item{fld_double}{A field with double precision values}
#' \item{fld_integer}{A field with integer values}
#' \item{fld_character}{A field with character values}
#' \item{fld_binary}{A field with binary (1 or 0) values}
#' \item{fld_factor}{A field with factor values}
#' }
"testdata_large"
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