introduction.R
In ukpolice: Download Data on UK Police and Crime

## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

## ----stop-search-london, eval=FALSE-------------------------------------------
#  library(ukpolice)
#  library(ggplot2)
#  library(dplyr)
#  
#  london_ss <- ukc_stop_search_force("metropolitan", date = "2018-12")
#  
#  london_ss2 <- london_ss %>%
#    filter(!is.na(officer_defined_ethnicity)) %>%
#    group_by(officer_defined_ethnicity, outcome) %>%
#    summarise(n = n()) %>%
#    mutate(perc = n/sum(n))
#  
#  
#  p1 <- ggplot(london_ss2, aes(x = outcome, y = perc,
#                               group = outcome, fill = outcome)) +
#    geom_col(position = "dodge") +
#    scale_y_continuous(labels = scales::percent,
#                       breaks = seq(0.25, 0.8, by = 0.25)) +
#    scale_x_discrete(labels = scales::wrap_format(15)) +
#    theme(legend.position = "none") +
#    labs(x = "Outcome",
#         y = "Percentage of stop and searches resulting in outcome",
#         title = "Stop and Search Outcomes by Police-Defined Ethnicity",
#         subtitle = "Metropolitan Police Department, December 2018",
#         caption = "(c) Evan Odell | 2019 | CC-BY-SA") +
#    facet_wrap(~officer_defined_ethnicity)
#  
#  p1

## ----stop-search-plot, echo=FALSE, out.width = '100%'-------------------------
knitr::include_graphics("stop-search.png")