A data set containing all reported crimes in St. Louis, Missouri during January 2018.

data(january2018)

Format

A tibble with 3825 rows and 20 variables:

Complaint

complaint record number

CodedMonth

year and month crime reported

DateOccur

date and time of crime

FlagCrime

Returns a Y when a crime occurred

FlagUnfounded

Reported crime was investigated and determined to be unfounded

FlagAdministrative

Reported crime had a change in classification

Count

Returns a 1 or -1 for counting purposes

FlagCleanup

Returns information if administrative cleanup occured

Crime

Uniform Crime Reporting code

District

Number corresponding to the police determined district

Description

Name of the crime

ILEADSAddress

I/Leads system address

ILEADSStreet

I/Leads system street

Neighborhood

Number corresponding to a neighborhood

LocationName

Common “Location Name” (i.e. Zoo, Scottrade Center, etc.)

LocationComment

Information to provide context to the location (i.e. Alley, Restaraunt Name)

CADAddress

The Computer-Aided Dispatch address is the reported address by the 911 caller

CADStreet

The Computer-Aided Dispatch street is the reported street by the 911 caller

XCoord

X-coordinates in the NAD83 format

YCoord

Y-coordinates in the NAD83 format

Source

St. Louis Metropolitan Police Department

Examples

str(january2018)
#> Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 3825 obs. of 20 variables: #> $ Complaint : chr "18-001804" "18-002209" "18-000063" "18-000018" ... #> $ CodedMonth : chr "2018-01" "2018-01" "2018-01" "2018-01" ... #> $ DateOccur : chr "01/01/2018 00:01" "01/01/2018 00:01" "01/01/2018 00:01" "01/01/2018 00:01" ... #> $ FlagCrime : chr "Y" "Y" "Y" "Y" ... #> $ FlagUnfounded : logi NA NA NA NA NA NA ... #> $ FlagAdministrative: logi NA NA NA NA NA NA ... #> $ Count : num 1 1 1 1 1 1 1 1 1 1 ... #> $ FlagCleanup : logi NA NA NA NA NA NA ... #> $ Crime : num 31111 142320 67601 41011 41011 ... #> $ District : num 1 5 4 2 3 6 5 5 4 1 ... #> $ Description : chr "ROBBERY-HIGHWAY /FIREARM USED/SUCCESSFUL" "DESTRUCTION OF PROPERTY-MALICIOUS/PRIV PROP" "LARCENY-FROM BUILDING $500 - $24,999" "AGG.ASSAULT-FIREARM/CITIZEN ADULT 1ST DEGREE" ... #> $ ILEADSAddress : num 6431 5506 2543 4000 3149 ... #> $ ILEADSStreet : chr "IDAHO AVE" "ETZEL AVE" "N GRAND BLVD" "DE TONTY ST" ... #> $ Neighborhood : num 1 48 59 27 25 71 38 38 36 5 ... #> $ LocationName : chr NA NA "THE BOULEVARD" NA ... #> $ LocationComment : chr "ON STREET IN FRONT OF 6431 IDAHO" NA NA NA ... #> $ CADAddress : num 6431 5506 2543 4000 3149 ... #> $ CADStreet : chr "IDAHO" "ETZEL" "GRAND" "DE TONTY" ... #> $ XCoord : num 890047 884088 899362 892323 896040 ... #> $ YCoord : num 992586 1030426 1026965 1013550 1008823 ...
head(january2018)
#> # A tibble: 6 x 20 #> Complaint CodedMonth DateOccur FlagCrime FlagUnfounded FlagAdministrat… Count #> <chr> <chr> <chr> <chr> <lgl> <lgl> <dbl> #> 1 18-001804 2018-01 01/01/20… Y NA NA 1 #> 2 18-002209 2018-01 01/01/20… Y NA NA 1 #> 3 18-000063 2018-01 01/01/20… Y NA NA 1 #> 4 18-000018 2018-01 01/01/20… Y NA NA 1 #> 5 18-000003 2018-01 01/01/20… Y NA NA 1 #> 6 18-000132 2018-01 01/01/20… Y NA NA 1 #> # … with 13 more variables: FlagCleanup <lgl>, Crime <dbl>, District <dbl>, #> # Description <chr>, ILEADSAddress <dbl>, ILEADSStreet <chr>, #> # Neighborhood <dbl>, LocationName <chr>, LocationComment <chr>, #> # CADAddress <dbl>, CADStreet <chr>, XCoord <dbl>, YCoord <dbl>