ukpolice is an R package that facilitates retrieving data from the UK police database.. The data provided by the API contains public sector information licensed under the Open Government Licence v3.0.
hex sticker police logo “Police” created by Yu luck from the Noun Project, hex sticker made with hexSticker package
Get the crime data with ukp_crime
ukp_crime() draws crimes from within a one mile radius of the location. When no date is specified, it uses the latest month available, which can be found using ukp_last_update().
library(ukpolice)
crime_data <- ukp_crime(lat = 52.629729, lng = -1.131592)
#> No encoding supplied: defaulting to UTF-8.
head(crime_data)
#> # A tibble: 6 x 12
#> category persistent_id date lat long street_id street_name context
#> <chr> <chr> <chr> <dbl> <dbl> <chr> <chr> <chr>
#> 1 anti-soc… "" 2018… 52.6 -1.13 882346 On or near … ""
#> 2 anti-soc… "" 2018… 52.6 -1.13 883351 On or near … ""
#> 3 anti-soc… "" 2018… 52.6 -1.13 883408 On or near … ""
#> 4 anti-soc… "" 2018… 52.6 -1.13 883313 On or near … ""
#> 5 anti-soc… "" 2018… 52.6 -1.11 882420 On or near … ""
#> 6 anti-soc… "" 2018… 52.6 -1.13 882336 On or near … ""
#> # ... with 4 more variables: id <chr>, location_type <chr>,
#> # location_subtype <chr>, outcome_status <chr>
ukp_last_update()
#> No encoding supplied: defaulting to UTF-8.
#> [1] "2018-03"Specify a month and year for data
When date is specified, it must be in the format “YYYY-MM”. Currently ukp_crime() only allows for searching of that current month.
crime_data_date <- ukp_crime(lat = 52.629729,
lng = -1.131592,
date = "2016-03")
#> No encoding supplied: defaulting to UTF-8.
head(crime_data_date)
#> # A tibble: 6 x 12
#> category persistent_id date lat long street_id street_name context
#> <chr> <chr> <chr> <dbl> <dbl> <chr> <chr> <chr>
#> 1 anti-soc… "" 2016… 52.6 -1.14 882313 On or near … ""
#> 2 anti-soc… "" 2016… 52.6 -1.12 883287 On or near … ""
#> 3 anti-soc… "" 2016… 52.6 -1.15 883538 On or near … ""
#> 4 anti-soc… "" 2016… 52.6 -1.13 883415 On or near … ""
#> 5 anti-soc… "" 2016… 52.6 -1.14 883525 On or near … ""
#> 6 anti-soc… "" 2016… 52.6 -1.14 883433 On or near … ""
#> # ... with 4 more variables: id <chr>, location_type <chr>,
#> # location_subtype <chr>, outcome_status <chr>This is still a little buggy at the moment as it returns blank columns for variables like persistent_id and context, location_subtype, and outcome_status. This issue is currently logged at issue #11.
Example usage
Explore the number of crime types
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
library(ggplot2)
crime_data <- ukp_crime(lat = 52.629729, lng = -1.131592)
#> No encoding supplied: defaulting to UTF-8.
crime_data %>%
count(category) %>%
ggplot(aes(x = reorder(category, n),
y = n)) +
geom_col() +
labs(x = "Crime Type",
y = "Number of Crimes",
title = paste0("Crimes commited in ",crime_data_date$date[1])) +
coord_flip() +
theme_minimal()
Other use of ukpolice
ukpolice does other things! At the moment other features include:
- Get crime within a polygon with
ukp_crime_poly() - Retrieve a list of neighbourhoods for a police force with
ukp_neighbourhood()
To see these examples, read the vignette “Getting Started with ukpolice”.
Code of Conduct
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
