mn_police_use_of_force: Minneapolis police use of force data.

In openintro: Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

Minneapolis police use of force data.

Description

From Minneapolis, data from 2016 through August 2021

Usage

mn_police_use_of_force

Format

A data frame with 12925 rows and 13 variables.

response_datetime

DateTime of police response.

problem

Problem that required police response.

is_911_call

Whether response was iniated by call to 911.

primary_offense

Offense of subject.

subject_injury

Whether subject was injured Yes/No/null.

force_type

Type of police force used.

force_type_action

Detail of police force used.

race

Race of subject.

sex

Gender of subject.

age

Age of subject.

type_resistance

Resistance to police by subject.

precinct

Precinct where response occurred.

neighborhood

Neighborhood where response occurred.

Source

Minneapolis

Examples

library(dplyr)
library(ggplot2)

# List percent of total for each race
mn_police_use_of_force |>
  count(race) |>
  mutate(percent = round(n / sum(n) * 100, 2)) |>
  arrange(desc(percent))

# Display use of force count by three races
race_sub <- c("Asian", "White", "Black")
ggplot(
  mn_police_use_of_force |> filter(race %in% race_sub),
  aes(force_type, ..count..)
) +
  geom_point(stat = "count", size = 4) +
  coord_flip() +
  facet_grid(race ~ .) +
  labs(
    x = "Force Type",
    y = "Number of Incidents"
  )

openintro documentation built on June 22, 2024, 7:37 p.m.