CJE 3663
Proficiency # 2
You are a crime analyst for the Orange County Sheriff’s office. You are requested to perform the following tasks. Access the final
data set (OC Raw Data) and perform the tasks below. When done email your proficiency to me and title it Last Name Prof3.
** Write your (1) name, (2) and computer number on this answer sheet. _______________________________________________
** Save the original data file in your newly opened workbook and then create a working file and be sure to save your work over the
course of the proficiency (we all know the reason for this).
Section I: File Recognition (1 pt)
1. What is the file type?
_____________________________________________________
Section II: File Conversion & Data Acquisition (4 pt)
1. Import the raw data file into Excel. Save it as OCSO_Data in an excel format.
2. Describe the native file format. What data format did Orange County Sheriff's Office provide you with?
_____________________________________________________________________________________________
Section III: Data Reconciliation and Analysis (70 pt)
1. Once you have the data imported and the excel table designed properly, the data must be cleaned to conform to the following
rules (answers may be different so be sure to justify and explain what you have done where results could vary):
2.
Insert variable names from data dictionary.
a.
Create a row above the data set (1st row) with a representative title (bold this title row with 14 font in Red Capitals).
b.
Bold and use a fill color for the row with your variable names (column headings).
c.
All non-necessary character elements, including zeroes, are to be removed from the data set (hint: pay close attention to
signal codes in the data set and the data dictionary).
d.
Incidents recorded as occurring at an intersection must have the format, [Street][Space]&&[Space][Street]. In other
words, the streets that intersect must be joined by a [space]&&[space].
e.
The coded fields (columns) UCRCode and ArrSignal require labels. After each coded field, create a new field (column)
to contain a label for the preceding coded field. Enter the correct label based on the information contained in the UCR
and Police Arrest signal code data dictionaries. Be sure to create an appropriate variable heading.
3.
Create a new field using the OffZone field by stripping off the first character which represents the police district in which the
incident occurred. Rename this column District, and remove the OffZone field and its remaining data.
4.
Create a new field using the OffTime and AM/PM fields. Title it OffTime1 and combine the two fields with a space so the new
column will read for example in the first cell 635 PM. Leave OffTime and AM/PM in the columns preceding the new variable
OffTime1.
5.
Format the fields so that the information in each field’s cell is visible.
6.
Be sure to update your data dictionary as some variable have been created and some have been removed.
7.
Once the data is cleaned and properly formatted, you must ensure record non-redundancy for validity. (25 pt)
a. If the dataset contains duplicate records, remove all such cases and place them in a separate spreadsheet titled
Duplicate_Records.
b. Calculate a frequency distribution for UCRCode. In other words, construct a new table in its own sheet with coinciding
chart to identify the number of offenses that occurred in Orange County per UCR category.
c. Calculate a frequency distribution and create a corresponding chart in its own sheet to indicate the number of offenses
per police district.
d. Create one pivot table and one pivot chart to look at the data in a manner different than done in sections b. and c.
8.
Email me your completed spreadsheet and your updated data dictionary titled Proficiency 2_last name as standard protocol.
Proficiency # 2
Data Dictionary Variables (Raw Data)
Col 1
Col 2
Col 3
Col 4
Col 5
Col 6
Col 7
Col 8
Col 9
Col 10
Col 11
Col 12
Col 13
Col 14
Col 15
Col 16
CaseNo
UCRCode
OffDate
OffTime
AM/PM
OFFZONE
OffAdd
VicDOB
VicRace
VicSex
ArrChr
PerpDOB
PerpRace
PerpSex
ArrDate
ArrSignal
Data Dictionary of UCR Offenses
UCR Code
10
20-21
30
31
40-45
50-59
60-69
70-79
80+
Description
Murder
Rape
Armed Robbery
Simple Robbery
Assault
Burglary
Theft
Auto Theft
Other
Data Dictionary of Arrest Signal Codes
Code
18
21
30
34
35
37
51
59
60
63
64
65
67
68
Description
Traffic
Complaints
Homicide
Agg Battery
Simple Battery
Agg Assault
Agg Arson
Criminal Mischief
Agg Burg
Criminal Trespassing
Armed Robbery
Simple Robbery
Theft
Unauthorized Use of Movable
69
Possession of Stolen Property
95, 95G
Illegal Carrying of Weapons
100
Hit and Run
103
Agg Assault
103F
Fight
106
Obscenity
966
Drug Law Violations
103F
Fight
17F
Fugitive Attachment
17J
Juvenile Attachment
34C
Cutting
34S
Shooting
62
Residential Burglary
64G
Armed Robbery (Gun)
67A
Auto Theft
67B
Bike Theft
67P
Pick Pocket
67S
Shoplifting
Any remaining
Other
Signals