#' Fatal Police Shootings data.
#'
#' A subset of the Washington Post database. Contains records of every fatal police shooting by an on-duty officer since January 1, 2015.
#'
#' @format A data frame with 6421 rows and 12 variables.
#' \describe{
#' \item{date}{date of fatal shooting.}
#' \item{manner_of_death}{shot or shot and Tasered.}
#' \item{armed}{Indicates if the victim was armed with some sort of implement
#' that a police officer believed could inflict harm.}
#' \item{age}{the age of the victim.}
#' \item{gender}{The gender of the victim. The Post identifies victims by
#' the gender they identify with if reports indicate that it
#' differs from their biological sex.}
#' \item{race}{W White non-Hispanic; B Black non-Hispanic; A Asian;
#' N Native American; H Hispanic; O Other None unknown.}
#' \item{city}{The municipality where the fatal shooting took place.
#' Note that in some cases this field may contain a county name
#' if a more specific municipality is unavailable or unknown.}
#' \item{state}{two-letter postal code abbreviation.}
#' \item{signs_of_mental_illness}{If news reports have indicated the victim
#' had a history of mental health issues, expressed suicidal intentions
#' or was experiencing mental distress at the time of the shooting.}
#' \item{threat_level}{The general criteria for the attack label was that
#' there was the most direct and immediate threat to life that would
#' include incidents where officers or others were shot at, threatened
#' with a gun, attacked with other weapons or physical force, etc. ;
#' the attack category is meant to flag the highest level of threat;
#' the other and undetermined categories represent all remaining cases;
#' other includes many incidents where officers or others faced significant
#' threats.}
#' \item{flee}{If news reports have indicated the victim was moving away from
#' officers by Foot, by Car, or Not fleeing.}
#' \item{body_camera}{If news reports have indicated an officer was wearing a
#' body camera and it may have recorded some portion of the incident.}
#' }
#' @examples
#' library(dplyr)
#'
#' # List race frequency and percentage
#' fatal_police_shootings %>%
#' group_by(race) %>%
#' summarize(n = n()) %>%
#' mutate(freq = n / sum(n)*100)
#' # List different weapons that victims were armed with
#' fatal_police_shootings %>%
#' distinct(armed)
#'
#' @source [Washington Post](https://github.com/washingtonpost/data-police-shootings)
#'
"fatal_police_shootings"
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