2. Executive Summery
Crime is one of the primary issues for which the nation cannot stay in rest and peace. Crime is
the general scenario of most of the nations. The fact that make the nation sensitive is the high
amount of crime. The police and the intelligence bureau are there in every nation to protect the
nation from such crime. But in most of the cases it can be seen the failure of the police and
agencies for the lack of information and due to non-organised action against those. This make
the nation with the execution of different types of crimes as the criminals can see the
misprediction and the mis witness of the criminal booking records and hence they can move
forward easily (Félix Mata, 2016). But some of the nation perform better and hence they are
able to diminish or at least decrease the count for the crime. The feature of the criminals is they
can see and understand the steps taken by the police and government and soon they approach
to them, the criminals can flee away. There is some other measure available for the intelligence
bureau through which they can check the activity without directly watching them and that is
the prediction of the crimes. This can be possible if the required data for the crime and the
criminals will be available and almost all the country generally stores the records. If the
predictive analysis will be done on the data, the generated outcome can show the probable
outcome of the crime in different places and for the years also (H. Zhang, 2015). With watching
this, the Intelligence bureau can take steps and probably prior to the happening of the crime as
they are executing their operation based on prediction. This one if helpful to the government
agencies as they have exerted less labour and so they can focus upon the operation and actions
to be taken against the criminals (D. Reis, 2006). The predictive analysis should be
multidimensional and hence comprises of the analytical view of different crimes with respect
to the location and the year and on the basis of the number of crime happenings. Now a day,
there are many options are open to make the predictive analysis (Jensen, 2013). The predictive
analysis may consist of the coding or may not be as there are several Business Intelligence
tools are available, through which the analysis upon the data can be done with less labour and
with high accuracy. In this paper, the crime analysis will be performed on the basis of the
collected data of crime and the dashboard will be shown which will display the analytical
outcome of the crime at that nation and will eb helpful to the Business Intelligence team and
the CEO of the organizations who are about to initiate the action against crime (E. Galbrun,
2016).
3. Table of Contents
Introduction................................................................................................................................ 4
Data Collection........................................................................................................................... 4
Tool Selection............................................................................................................................ 10
Dashboard and Analysis ........................................................................................................... 10
Recommendation to CEO ......................................................................................................... 13
Cover letter to CEO.................................................................................................................. 19
Conclusion................................................................................................................................ 20
References................................................................................................................................. 20
4. Introduction
In this paper, the analysis of crime is performed. As the crime is the growing problem of the
nation in almost all over the world, this needs to be analysed with an objective to rectification
of the nation from such crimes and the criminal activities as well. With such goal of the work,
the crime data is collected and hence the data will be analysed to view the statistics of crime so
that the outcome can be recommended to the Business Intelligence team and the CEO of the
organization who want to check the analysis for taking proper steps against such crimes (C.-H.
Yu, 2014). Hence the analysis along with the visualizations are done on the basis of the data
and with all those analytical outcomes, the Dashboard is done to show the view of the crime
result. The dashboard is done so that all of the analysis and the visualizations can be available
in same place and the CEO need not to swipe for multiple visualization as it is the problematic
if the CEO want to compare the result and check among the analysis (T. Wang, 2013).
Dashboard provides the compact view of the analysis of the data through which the outcome
can be predicted and hence the CEO can make the decision for the relevant actions to be taken
for the elimination of the crime.
So, after doing the analysis using the analytical tool, the dashboard will be sent to the Business
Intelligence team that is lead by the CEO with the respective data so that the objective of the
both side can be fulfilled and the CEO will be get helped of the analytical view of the data by
watching the visualization (D. Reis, 2006). This the dashboard can be helpful to the Business
Intelligence team and the CEO as well for taking the proper action against the crime and hence
they can proceed for the relevant steps.
The next section will be dealing with the data collection for the crime and the description of
the data is given to understand the insight of the data (Félix Mata, 2016).
Data Collection
For the analysis of crime, the crime data for Chicago is chosen. As Chicago is one of the
renowned cities in United States of America and the crime factor is high in that city. So, the
data for the crime is Chicago has the relevancy for the analysis. Hence the data is collected for
the period of 2012 to 2016 and the analysis of the data will reflect the outcome of required
operation (Leitner, 2013). The data has its several parameters like:
CrimeID
Case Number
Date
Month
Day
Block
IUCR
Primary Type
Description
Location
Arrest
Domestic
Beat
District
5. Ward
Community Area
FBI Code
X Coordinate & Y Coordinate
Latitude & Longitude
Location
Year
Updated On
Those attributes have their own meaning and those are helpful for the analysis (M. H. Bhuyan,
2014). The briefs of the important parameters are described below:
CrimeID: This shows the type of crime that are recorded and hence will be applicable to be
counted for the occurrence with respect to the location, year and districts.
Primary Type: This shows the type of crimes have been taken place and hence can be identified
by the Crime ID.
Arrest: This attribute shows the status of arrest with respect to the crime occurred.
Beat: This attribute shows about the activity of the authority and is helpful to create the analysis
wit respect to the Crime ID and other related parameters.
District, Ward: This attribute basically shows the location of crime and hence is useful for the
analysis of crime in district and ward wise to see the insight of the happenings of the crime.
Year: As per the name of the attribute, it shows the records of the crimes and the other
parameters to be analysed with respect to it to count the frequency.
So, with those attributes, the data analysis will be done. Primarily, the crime happenings are
computed with respect to the month to see the crime occurrence per month and hence it will
show the name of the month for high crime (N. Padhy, 2012). This will be helpful to predict
for the sensitive month and the BI team can understand about their steps. The table of data is
shown below:
Table-1: Analysis for Crime Month basis
Crime Month wise
Month
Crimes
Occurred
January 325413452791
February 268713531675
March 273318228906
April 277083620573
May 274006906795
June 265302088752
July 272856574332
August 271524112689
September 273446839041
October 272071139249
6. November 269341993580
December 268421768980
After the observation of the crime scenario by month, the crime data is fetched with respect to
the type of crime. This is essential to see the happening of crime. As there are different types
of crime but all of those crimes are not happening with same amount and to find the highest
occurance of crime, the analysis is required for future prediction such that the relevant steps
can be taken to diminish such types of crime (Dhannoon, 2017). Hence, the table is shown
below:
Table-2: Analysis of Crime by Type
Type of Crime
Crime Type Crimes Occurred
THEFT 751002561233
BATTERY 587599855032
NARCOTICS 368052097473
CRIMINAL DAMAGE 334806395720
ASSAULT 199907953494
OTHER OFFENSE 196617243992
BURGLARY 193033921844
DECEPTIVE PRACTICE 154255739292
MOTOR VEHICLE THEFT 138394954104
ROBBERY 124364707167
CRIMINAL TRESPASS 86794104837
WEAPONS VIOLATION 36557891705
PUBLIC PEACE VIOLATION 32510334600
OFFENSE INVOLVING CHILDREN 25533916382
PROSTITUTION 19460580047
INTERFERENCE WITH PUBLIC OFFICER 14340208312
CRIM SEXUAL ASSAULT 14289242733
SEX OFFENSE 11315282643
GAMBLING 6512039696
LIQUOR LAW VIOLATION 5047772654
ARSON 4350569172
KIDNAPPING 2693574221
STALKING 1750155860
INTIMIDATION 1520992113
OBSCENITY 381276790
PUBLIC INDECENCY 153887077
OTHER NARCOTIC VIOLATION 91701634
NON-CRIMINAL 83840055
NON - CRIMINAL 38660439
HOMICIDE 19766859
7. HUMAN TRAFFICKING 10110085
NON-CRIMINAL (SUBJECT SPECIFIED) 8920098
Though such types of crimes are happening in Chicago, the required data is to determine the
status of arrest is shown below. It can be seen that, for most of the cases, the criminals are not
arrested and thus they can find the way to execute their next crime (Jensen, 2013). With the
predictive analysis is done in the next section will help the CEO and the BI Team to get the
opportunity to arrest the criminals as the crimes can be detected by the predictive analysis.
Table-3: Analysis for the status of arrest
Status of Arrest
Arrest Crime Records
FALSE 2376176861896
TRUE 935323395467
The below table shows the analysis of Crime by district as it is the required parameter to find
the happening of crime in different districts (C.-H. Yu, 2014). The districts are shows with the
district codes.
Table-4: Analysis of Crime by District
District wise Crime
District ID Crimes
1 129746794377
2 137187411076
3 172538653389
4 198094903257
5 152010345314
6 196186678718
7 194725973755
8 221548937215
9 161167918486
10 151036845081
11 234445870155
12 151907474919
14 116157126031
15 150947332125
16 111812921498
17 93248847602
18 138866926969
19 150441835804
20 55115340528
22 107667539589
8. 24 93979369768
25 192561517767
31 94529791
FBI code is the allotted for the identification of the crime type and hence that is required to be
analysed along with the previous issues. So, the data for the analysis is shown below:
Table-5: Crime by FBI Code
Crime by FBI Code
FBI Code Crimes
2 15953981951
3 124364707167
5 193033921844
6 751002561233
7 138394954104
9 4286255046
10 18109525064
11 134505631912
12 641832884
13 998749432
14 334806395720
15 36557891705
16 19507210155
17 13551969417
18 350207111505
19 6529894786
20 13516260090
22 5047772654
24 42153332499
26 319300116124
01A 133124
01B 19633735
04A 49313973119
04B 76269045885
08A 152096587061
08B 511330809147
As the previous data shows the analysis for the crime types which are required to determine
and predict the crime to be happened in future, another parameter which is required to show
the frequency of crime that have been taken place by year and that data is shown below:
9. Table-6: Analysis by Year
Analysis by Year
Year Crimes
2012 1152478880717
2013 1113373039049
2014 1027357673759
2015 2148095646
2016 16142568192
It can be seen that the crime is decreasing by year though the crime that is seen in the last year
is higher enough and the reason is already discussed with required data in the earlier section
(H. Zhang, 2015). The ward wise crime is show in the next table.
Table-7: Ward wise Crime Analysis
Ward wise Crime
Ward No. Crime
1 56603256520
2 124152541339
3 87373929855
4 53458823569
5 81862462223
6 109864474319
7 91127186174
8 93866006934
9 85283094757
10 61194844946
11 44793655576
12 40522760193
13 41447583471
14 45759380400
15 88945038771
16 93595395802
17 112749983448
18 55456806310
19 28542241927
20 104929683302
21 102000577471
22 40089600369
23 39426177393
24 141697771043
25 46685347284
26 51088283540
10. 27 115277584672
28 168093136031
29 81003178351
30 46107758287
31 47081855884
32 52823075761
33 32200274653
34 92847818979
35 40102089283
36 31795615447
37 90534215720
38 34719610839
39 29571770454
40 34120270465
41 37769024708
42 140230575084
43 41468862334
44 52006848841
45 34321340171
46 45618718123
47 32252910552
48 30851637187
49 44249579690
50 33899159405
So, using these data, the analysis and the dashboard will be done and based on the analysis and
the dashboard, the report will be forwarded to the CEO.
Tool Selection
SAP analytics tool is used for the analysis of the Chicago Crime data. The SAP tool is the
service and tool from IBM and is capable of analysis of the big data as well any kind of data
and the most precious feature of the tool is that it is capable of analysing the data using
prediction and the drag and drop facility enrich the visualization technique and save the time
for the analysis. Hence, the tool is useful for the analysis of the data and to prepared the
dashboard.
Dashboard and Analysis
The dashboard is prepared using the SAP analytics and it is show below:
11. Fig-1: Dashboard for Crime data
This dashboard will be said to be presented to the CEO by writing the cover letter. The CEO
will take the decision for the future action ad hence the analysis will be described to him. So,
in this section, the analysis will be described to signify the insight of the dashboard and to
predict the future happening of the crime.
First the no of beat by month is analysed to check the status of the number of beats to the
criminals by the Chicago police. It can be seen that in January the value is highest so the month
can be denoted as the sensistive one (Leitner, 2013) . The analysis s shown below:
Fig-2: Analysis of beat by month
Next the analysis is done for the beat value by the community area. This is required analysis to
show the number of crimes happened at the general and community area to show the security
aspects of Chicago (E. Galbrun, 2016). The analysis, hence, is shown below:
12. Fig-3: Analysis of beat by Community area
In the analysis chain the third one is the analysis of the beat by the district denote the number
of crimes that is happend in the districts (M. H. Bhuyan, 2014). This will help for the
prediction for the crime as the police can now determine for the sensitive districts and hence e
more tight there.
Fig-4: Analysis of Beat by District
So, in the previous three analysis shows the value of the beat that is the measures taken by the
authority but apart from that there are many cases are pending for which no actions are taken
yet (D. Reis, 2006). The next analysis will deal with the crime generated by district which will
predict the future crime to be happened there.
Fig-5: Crime by District
13. Another sensitive issue that is analysed here is the crime the analysis with respect to ward and
hence it will help to determine the sensitive crime in Chicago. Eventually, it can be seen that
the crime type Theft was executed for highest times with respect to the wards (Leitner, 2013).
So, this needs the precaution for the happening of the crime in next days in those wards. The
analysis is shown below:
Fig-6: Analysis of Primary Type Crime in Wards
To check for the analysis in Fig-6, the subordinate analysis is done for the Primary type by the
Crime ID and here the same result is obtained that the Theft was occurred for highest times
(M. H. Bhuyan, 2014). The analysis is shown below:
Fig-7: Analysis of Primary Type Crime by Crime ID
So, based on these analysis and visualizations, the recommendations will be placed to the CEO
for their further actions. So, the letter will be written to the CEO informing about the scenario
of the present crime and its future probable happenings.
Recommendation to CEO
With the analysis, it can be said that the crimes are still in Chicago in huge amount and that
should be recovered for making the society healthy and free to move and out of fear from the
crimes. From the analysis, it can be seen that, District 11 is highly sensitive of the crime and
so it needs the urgent attention (H. Zhang, 2015). The crime Theft and the Battery taken t and
second positions respectively and so these will be resolved from the further occurance of crime
there. Additionally, the community area 24 is highly affected by the crime and so need the
14. urgent action so that the place will be free from any kind of crime (Jensen, 2013). So, the letter
to the CEO specifically contains the recommendations and the QR code through which he can
observer the crime analysis regularly and from any place the data can be downloaded. Using
the power of analytics, the following suggestion can be recommended:
1. How many numbers of reported crimes?
2. How many different number of reported crime types? (primary types)
3. Provide a list of top 21 location descriptions with respect to crimes.
4. Provide a list of least 10 locations descriptions with respect to crimes .
15. 5. What is the top three most primary type?
6. What is the least three most primary type?
7. How many years of years of reported crime is in the data file
8. How many number of reported crimes were logged every year in December?
16. 9. Which month generated the most reported crime in Chicago?
10. Which year generated the most reported crime in Chicago?
11. How many number of reported crimes whether an arrest was made?
17. 12. How many number of district in the dataset?
13. What are the top 3 districts in terms of reported crime?
14. What are the least 3 districts in terms of reported crime?
15. What are the primary type that reported most crimes from district 8 in 2014?
18. 16. How many number of domestic reported crimes made in Chicago?
17. How many domestics number of reported crimes were made in 2012 to 2014?
18. Which day is the busiest day of the week in terms of committed crimes?
19. Which location description has the most number of crime reported on weekends?
19. 20. Which location description has the least number of crime reported on weekends?
Cover letter to CEO
To
The CEO,
FBI.
Sub: Report on the Analysis of Crime in City of Chicago
Respected Sir,
As per the analysis is done with the specified data, the report shows the crime
happening in Chicago and this still very higher than assumed. Chicago is still bearing high
record for Theft followed by the Battery and others. While analysis, it is found that District 11
is much sensitive to the crime for various types and if no steps will be taken then in future days,
the probability of crimes can be higher end the city and the districts will not be believable
enough to stay or for freely move. Apart from that, as the community area is the sensitive places
where the society exists in its prominent form, there also the amount of crime is higher and
more specifically saying in the community area 24 itself.
From the analysis, the following recommendations can be suggested to control the crime:
1. The mentality and causes for the motive behind the crime needs to be understood
2. The rate of crime can be controlled by spreading public awareness
3. Grooming the people for the true fact of crime and the punishment and thus make them
educated not to be a criminal
4. Implementing Discipline and Rule of Law in police force
5. Increasing the interaction among the public
6. Analysis of the police report frequently
Therefore, it is the humble request to consider the fact so that the future crime
may be diminished. The real time Quick Response code is also attached through which the real
20. time crime scenario will be observer just by scanning it. The scan will be result in the
Dashboard which is made on behalf of the predicting purpose and hence it is provided to you
for the understanding of the true scenario of Chicago Crime.
Thanking you,
Faithfully yours,
-------------------
Conclusion
In thus paper, the required analysis done on the Chicago Crime data and the analytical
dashboard is made using the SAP analytics tool though which the data insight for the crime
and the prediction both can be done. On the basis of the analysis, the cover letter is written to
the CEO with the analytical report and additionally, with the QR code so that he will check the
crime scenario every time he scans it.
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