spcrimr: spcrimr: tidy data from SSP-SP.

#' Variable names in SSP datasets.
#'
#' A dataset containing variables names in tidy format and raw
#' (exactly the same in SSP's website)
#' This dataset contain details about the variable names in raw data.
#'
#' @format A \code{tibble} with 32 rows and 3 variables.
#' \describe{
#'   \item{\code{variaveis_tidy}}{Variables names
#'    in tidy format, to build an R friendly dataset}
#'   \item{\code{variable_raw}}{Original variable names
#'   (as you can see in SSP's website)}
#'   \item{\code{dataset}}{Character string indicating the dataset
#'   in \code{spcrimr}}
#'   }
#'
#' @source \url{http://www.ssp.sp.gov.br/Estatistica/Pesquisa.aspx}.
#'
"ssp_variables_names"

#' Policial productivity data in Sao Paulo state (2002-2017).
#'
#' A dataset containing policial productivity registry such as number
#'  of arrests and gun apprehension in Sao paulo state, Brazil.
#'
#' @format A \code{tibble} with 8,385 rows and 16 variables.
#'
#' @seealso Use \code{\link{ssp_variable_names}} to see details about this
#' dataset.
#'
#' @source \url{http://www.ssp.sp.gov.br/Estatistica/Pesquisa.aspx}.
#'
"ssp_produtividade_policial"

#' Crime counts in Sao Paulo state (2002 - 2017).
#'
#' A dataset containing crime counts by municipalities in Sao paulo state,
#'  Brazil.
#'
#' @format A \code{tibble} with 8,385 rows and 16 variables.
#'
#' @seealso Use \code{\link{ssp_variable_names}} to see details about this
#'  dataset.
#'
#' @source \url{http://www.ssp.sp.gov.br/Estatistica/Pesquisa.aspx}.
#'
"ssp_ocorrencias_crimes"

#'Fundacao Seade
#'
#'Socio economic statistcs of Sao Paulo estate, from SEADE foundation.
#'
#' @format a `tibble` with 40 rows and 2 colums
#' \describe{
#'   \item{ano}{years from 1980 to 2017}
#'   \item{data}{a vector os \code{lists} with nested data}
#' }
"seade"