unknown column exploring crimedata

[unsworthk]

Hi all,
I am trying to use the package crimedata for a class. When I run this code, which is from Michael Ashby's article on using crimedata I get unknown columns "location_types"

get_crime_data(
  cities = "Fort Worth", 
  years = 2014:2017, 
  type = "core",
  output = "sf"
) %>% 
  filter(offense_group == "homicide offenses") %>% 
  mutate(offense_year = year(date_single)) %>% 
  ggplot() + 
  geom_sf() +
  facet_wrap(vars(offense_year))

I know the column is there because when I call names() it's listed.

Has anyone run into this or knows how to address it?

[nirgrahamuk]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[unsworthk]

datapasta::df_paste(head(crime_data))
data.frame(
stringsAsFactors = FALSE,
uid = c(2970134L, 2970204L, 2970345L, 2970565L, 2970568L),
date_single = c("2020-01-01 01:05:00",
"2020-01-01 07:14:00","2020-01-01 19:00:00",
"2020-01-02 20:00:00","2020-01-02 20:00:00"),
longitude = c(-97.766551,-97.71347,
-97.771795,-97.749932,-97.803012),
latitude = c(30.368206, 30.29149, 30.477788, 30.24194, 30.463511),
census_block = c("484530017052006",
"484530004021004","484910203111022","484530014012026",
"484910204032002"),
date_start = c(NA, NA, NA, NA, NA),
date_end = c(NA, NA, NA, NA, NA),
city_name = as.factor(c("Austin",
"Austin","Austin","Austin","Austin")),
offense_code = as.factor(c("23H", "90C", "23F", "23F", "23G")),
offense_type = as.factor(c("all other larceny","disorderly conduct",
"theft from motor vehicle (except theft of motor vehicle parts or accessories)",
"theft from motor vehicle (except theft of motor vehicle parts or accessories)",
"theft of motor vehicle parts or accessories")),
offense_group = as.factor(c("larceny/theft offenses","disorderly conduct",
"larceny/theft offenses","larceny/theft offenses",
"larceny/theft offenses")),
offense_against = as.factor(c("property","society","property","property",
"property")),
location_type = as.factor(c("other",
"residence","residence","residence","hotel")),
location_category = as.factor(c("other",
"residence","residence","residence","hotel"))
)

dput (head(crime_data))

library(dplyr)
library(ggplot2)
library(lubridate)

get_crime_data(
cities = "Fort Worth",
years = 2014:2017,
type = "core",
output = "sf",
cache = FALSE
) %>%
filter(offense_group == "homicide offenses") %>%
mutate(offense_year = year(date_single)) %>%
ggplot() +
geom_sf() +
facet_wrap(vars(offense_year))

[nirgrahamuk]

Its a warning from inside the crimedata package. your code appears to run fine regardless.
My suggestion would be to ignore the warning.

[unsworthk]

Thank you so much for the quick response. I'm using it for a class and wanted to be sure there wasn't some issue that could crop up later on.