#' Pedestrian counts
#'
#' A dataset containing pedestrian counts at various locations in the
#' CBD area of Melbourne Australia between 2013 and 2016
#'
#' @format A data frame with 831,639 rows with the following variables:
#' \itemize{
#' \item DateTime: A date time when the count
#' \item ID: An id for the sensor location.
#' \item Name: The name of the sensor.
#' \item Counts: The number of pedestrians who walked by the sensor within the hour.
#' \item Month: The month.
#' \item Year: The year.
#' \item Day: The day.
#' \item Wday: The day of the week.
#' \item Weekend: Is this a weekend?
#' \item Hour: The hour.
#' }
"pedestrians"
#' Sensor Locations
#'
#' A dataset containing information about each sensor.
#'
#' @format A data frame with 44 rows with the following variables:
#' \itemize{
#' \item ID: An id for the sensor location.
#' \item Name: The name of the sensor.
#' \item Description: A description of the sensor.
#' \item Status: Is this sensor installed?
#' \item Upload Date:
#' \item Year Installed:
#' \item Location Type:
#' \item Geometry:
#' \item Latitude:
#' \item Longitude:
#' }
"sensors"
#' Sensor Locations
#'
#' A dataset containing time series cognostics for each sensor
#'
#' @format A data frame with 44 rows with the following variables:
#' \itemize{
#' \item ID: An id for the sensor.
#' }
"cog"
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