#' Example Inspection Scores Matrix.
#'
#' A small dataset of inspection scores.
#'
#' \code{X.kc} contains restaurant inspection information from 11 randomly
#' chosen ZIP codes in the King County (WA) jurisdiction. Data cannot be
#' attributed to specific establishments because identifiers have been removed
#' (despite the fact that this data is already in the public domain). Inspection
#' information is limited to the 01-01-2012 - 03-25-2016 time period.
#'
#' @format A matrix with 4 columns and order 1000 rows, where each row represents
#' one business and each column is one inspection cycle.
#' \code{X.kc[i,j]} represents the inspection score for the
#' \code{i}th restaurant in the \code{j}th most recent inspection.
"X.kc"
#' Example ZIP Code Vector.
#'
#' A vector of ZIP codes.
#'
#' \code{zips.kc[i]} represents the ZIP code for the restaurant represented in
#' the \code{i}th row of the \code{X.kc} inspection scores matrix. ZIP codes in
#' \code{zips.kc} have the format "zip.j" where j is an integer between 1 and 11.
#' We replaced real King County (WA) ZIP code names with fictional ZIP code
#' names so as to make data less identifiable (although inspection data is
#' already publicly available). In this replacement step, we also
#' demonstrate that our functions can be applied not solely over character
#' vectors of real ZIP codes, but any vector of character strings representing the
#' same facet for all restaurants can be used in the grading process.
#'
#' @format A character vector with a length that matches the number of rows of \code{X.kc} (i.e. \code{zips.kc} is of the order of magnitude of
#' 1000 elements). Each entry represents the ZIP code of one business.
"zips.kc"
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