Drawing heavy influence from library(blscrapeR), this library is meant to be a tidy wrapper around the Bureau of Justice Statistics (BJS) API. The idea is to utilize the ‘tidyverse’ methodology to create an efficient workflow when dealing with crime statistics.
You can install bjscrapeR from github with:
As of right now, the package only comes with one function: ncvs_api(), which queries information from the National Crime Victimization Survey (NCVS). This data comes in two forms: personal and household crime statistics with years available from 1993-2016.
library(bjscrapeR)
crime_dat <- ncvs_api(year = 2012, dataset = "personal")
#> Trying BJS Servers...
#> Payload Successful
head(crime_dat, 5)
#> # A tibble: 5 x 23
#> year weight gender race1R hispanic ethnic1R ager marital2 hincome
#> <int> <dbl> <int> <int> <int> <int> <int> <int> <int>
#> 1 2012 2739. 1 1 2 1 6 3 88
#> 2 2012 2739. 1 1 2 1 6 3 88
#> 3 2012 2232. 2 2 2 2 5 1 2
#> 4 2012 1570. 2 2 2 2 6 1 2
#> 5 2012 3097. 1 1 2 1 7 2 88
#> # ... with 14 more variables: popsize <int>, region <int>, msa <int>,
#> # direl <int>, notify <int>, weapon <int>, weapcat <int>,
#> # newcrime <int>, newoff <int>, seriousviolent <int>, injury <int>,
#> # treatment <int>, vicservices <int>, locationr <int>