Location of Rape
Iowa Department of Public Safety
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This example looks at the location of rape incidents in Iowa. To
create this chart, all rape incidents were selected, and a frequency of location was run,
with the results presented in a pie chart. When using this code, be sure to insert
the path and the file name of the data file to be used, as well as the directory and file
name for saving. If you need any assistance working with the syntax provided, please
NOTE: This example requires that you download a template file before
running the syntax.
|Preparing the File. The
unit of analysis for this research question is incident. The incident-level flat
file can be used rather than multiple segments (administrative, victim, offense) because
the variables needed were created with the aggregate command in the Creating An
Incident-Level Aggregated Flat File procedure (see above). The SELECT IF chooses
records if the most serious offense is equal to 110 (rape). The RECODE groups the
values for the variable incident location into six numeric categories and names the new
variable 'location'. VALUE LABELS assigns a descriptive label to each numerical
value for the new variable.
GET FILE='Directory\Path\Incident 1999.sav'.
SELECT IF (msioff = 110).
(20 = 1)(2,3,5,7,9,12,17,21,23,24 = 2)(13,18 = 3)(14,22 = 4)(10,16 = 5)(else =
VARIABLE LABELS location 'Location'.
VALUE LABELS location
1 'Residence' 2 'Commercial Bldg' 3 'Hwy/Road/Garage' 4
'Hotel/Motel/School' 5 'Park/Field/Lake'
|Creating the Output. This output is defined as a simple pie
chart that displays the percent of rapes by location. We also use a previously
defined template for formatting the chart.
/PIE=PCT BY location
/TITLE='Location of Rape'.
|The resulting pie chart looks like this: