Real Time Analytics - Analysis of Chicago Crime Data
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AI Summary
This report provides insights into the crime trends in Chicago from 2012 to 2016. The report covers the number of crimes reported, types of crimes, locations, and districts. The report also provides recommendations to the police chief to control the crime rate.
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Real Time Analytics
- Analysis of Chicago Crime Data
- Analysis of Chicago Crime Data
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Introduction:
• The undertaken data set reflects the reports of incidents of crime (except
murders) happened in Chicago city from 2012 to 2016.
• The data set is gathered from the Chicago Law Enforcement Analysis and
Reporting (CLEAR) of Chicago Police department.
• To protect the privacy of crime victims, the crime incidents are gathered as
per the specific locations as per block levels.
• The weekend bloodshed of Chicago is not at all new and police is trying to
control the crime by various kinds of steps. Shopping malls, markets,
streets, apartments and pavements are not at all safe in Chicago
irrespective of seasons or days of the week.
• Presence of local gangs, availability of guns, domestic dissatisfaction and
anxiety, tendency to commit crimes, instant spread of contagions and
destructive nature of racism are the significant causes of high rate of
crimes in Chicago.
• The undertaken data set reflects the reports of incidents of crime (except
murders) happened in Chicago city from 2012 to 2016.
• The data set is gathered from the Chicago Law Enforcement Analysis and
Reporting (CLEAR) of Chicago Police department.
• To protect the privacy of crime victims, the crime incidents are gathered as
per the specific locations as per block levels.
• The weekend bloodshed of Chicago is not at all new and police is trying to
control the crime by various kinds of steps. Shopping malls, markets,
streets, apartments and pavements are not at all safe in Chicago
irrespective of seasons or days of the week.
• Presence of local gangs, availability of guns, domestic dissatisfaction and
anxiety, tendency to commit crimes, instant spread of contagions and
destructive nature of racism are the significant causes of high rate of
crimes in Chicago.
Aim and Target Audience:
• The main aim of the research report is to provide the variety and interests
insights in the lights of the crime survey data. Also, it would like to develop
the proper measures to control crimes.
• The target audience of the IBM analytical report are mainly non-profit
organizations and the middle as well as top management of the law
enforcement agency.
• The main aim of the research report is to provide the variety and interests
insights in the lights of the crime survey data. Also, it would like to develop
the proper measures to control crimes.
• The target audience of the IBM analytical report are mainly non-profit
organizations and the middle as well as top management of the law
enforcement agency.
Research Reporting:
• The analysis has been done with the help of the IBM Watson software.
• The interpretation refers crime rates and scenarios in Chicago in the
contemporary period.
• The representation in the contemporary period is one of the primary and
most useful methods used for the purpose of visual representation of
large data and trends.
• Taking this into consideration, this form of analysis and interpretation
has been used for the concerned study.
• The analysis has been done with the help of the IBM Watson software.
• The interpretation refers crime rates and scenarios in Chicago in the
contemporary period.
• The representation in the contemporary period is one of the primary and
most useful methods used for the purpose of visual representation of
large data and trends.
• Taking this into consideration, this form of analysis and interpretation
has been used for the concerned study.
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The total number of reported crime is 361741 in Chicago during the tenure
of survey.
of survey.
32 kinds of different primary crimes were reported in this survey.
The top 21 location descriptions with respect to crimes are- 1) Street, 2) Residence, 3)
Apartment, 4) Sidewalk, 5) Other, 6) Parking lot/ Garage (Non-residential), 7) Alley, 8)
Residential yard (Front/Back), 9) School, Public and Building, 10) Small Retail Store, 11)
Residence Porch/Hallway, 12) Vehicle Non-commercial, 13) Residence Garage, 14)
Restaurant, 15) Department store, 16) Grocery Food Store, 17) Gas Station, 18) Park
Property, 19) Bar or Tavern, 20) CTA Platform, 21) Commercial/Business office.
Apartment, 4) Sidewalk, 5) Other, 6) Parking lot/ Garage (Non-residential), 7) Alley, 8)
Residential yard (Front/Back), 9) School, Public and Building, 10) Small Retail Store, 11)
Residence Porch/Hallway, 12) Vehicle Non-commercial, 13) Residence Garage, 14)
Restaurant, 15) Department store, 16) Grocery Food Store, 17) Gas Station, 18) Park
Property, 19) Bar or Tavern, 20) CTA Platform, 21) Commercial/Business office.
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The least 10 location descriptions with respect to time are- 1) Yard, 2) Vehicle-Other Ride
Service, 3) CTA Tracks-Right of Way, 4) Airport Terminal Mezzanine - Non-Secure Area, 5)
Airport Transportation System (ATS), 6) Newsstand, 7) Savings and Loan, 8) Forest
Preserve, 9) Cemetery and 10) Delivery Truck.
Service, 3) CTA Tracks-Right of Way, 4) Airport Terminal Mezzanine - Non-Secure Area, 5)
Airport Transportation System (ATS), 6) Newsstand, 7) Savings and Loan, 8) Forest
Preserve, 9) Cemetery and 10) Delivery Truck.
The top-most three common primary types are- 1) Theft, 2) Battery
and 3) Narcotics.
and 3) Narcotics.
The least three common primary types are- 1) Non-Criminal, 2) Human
Trafficking and 3) Non-criminal (Subject specified).
Trafficking and 3) Non-criminal (Subject specified).
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The number of years of ‘Years’ of reported crimes in this data file is 5
that are 2012, 2013, 2014, 2015 and 2016.
that are 2012, 2013, 2014, 2015 and 2016.
The number of crimes reported in this data file in December are given as-
1) 2012 (10.84 K), 2) 2013 (9.84 K), 3) 2014 (8.6 K), 4) 2015 (19) and 5)
2016 (31).
1) 2012 (10.84 K), 2) 2013 (9.84 K), 3) 2014 (8.6 K), 4) 2015 (19) and 5)
2016 (31).
The year in which most crimes were occurred is- 2012 (more than 130 K).
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‘January’ has caused most reported crime that any other month (more
than 35 K).
than 35 K).
The number of reported crimes in these 5 years is 102.15 K where
arrests were made.
arrests were made.
The number of districts in the data set is 23.
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The top 3 districts as per reported crimes are- 1) 11 (25555), 2) 8 (24195)
and 3) 4 (21637).
and 3) 4 (21637).
The bottom 3 districts as per reported crimes are- 1) 31 (10), 2) 20 (6029) and 3) 17 (10200).
The primary type that mostly reported crimes from district ‘8’ in 2014 is
‘Theft’ (1528).
‘Theft’ (1528).
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The number of domestic reported crimes of Chicago is found to be 53.16
K.
K.
The domestic number of reported crimes made in Chicago are- 19.23 K
(2012), 17.91 K (2013) and 15.77 K (2014). The total number of domestic
reported crime from 2012 to 2014 is 52.92 K.
(2012), 17.91 K (2013) and 15.77 K (2014). The total number of domestic
reported crime from 2012 to 2014 is 52.92 K.
The busiest day of the week to commit crimes is Tuesday as per the
data file.
data file.
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‘Saturday’ and ‘Sunday’ are considered as the weekends. The most
crimes are reported in streets in both the days of weekends (Saturday-
11288 and Sunday- 11774).
crimes are reported in streets in both the days of weekends (Saturday-
11288 and Sunday- 11774).
The least crimes (non-zero) are reported in ‘Airport Building Non-
Terminal - Non-secure Area’ (18).
Terminal - Non-secure Area’ (18).
Research Insights:
• Long-term crime wave throughout 5-year survey shows that streets and
residence are more vulnerable. The improvement is observed in recent
years; however, the arrest rate is not still significant.
• District 11 and 8 are highly crime making places and January is the
month when crime rate is comparatively high.
• Domestic violence crime is getting reduced year after year. Overall crime
also has reduced.
• Among, 32 types of various tabulated crimes, ‘Theft’ is the crime that is
mostly occurred in Chicago.
• In weekdays, the crime rate is found considerably high in Street and
apartments. No effect of weekdays or working days was found in crime
rate as the rate is high in Tuesday and Wednesday and low in Friday and
Saturday.
• Long-term crime wave throughout 5-year survey shows that streets and
residence are more vulnerable. The improvement is observed in recent
years; however, the arrest rate is not still significant.
• District 11 and 8 are highly crime making places and January is the
month when crime rate is comparatively high.
• Domestic violence crime is getting reduced year after year. Overall crime
also has reduced.
• Among, 32 types of various tabulated crimes, ‘Theft’ is the crime that is
mostly occurred in Chicago.
• In weekdays, the crime rate is found considerably high in Street and
apartments. No effect of weekdays or working days was found in crime
rate as the rate is high in Tuesday and Wednesday and low in Friday and
Saturday.
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Recommendations to the Police
Chief:
• Theft being one of the most commonly occurring the department needs
to be stricter in these aspects.
• The crime on streets and residents being increasing over the years, the
department needs to increase its vigilance in these areas.
• The number of relevant arrests should be increased and stricter laws
should be imposed.
• The patrolling and vigilance need to be high on weekdays as the crime
rates can be seen to be higher in the apartments in these days.
Chief:
• Theft being one of the most commonly occurring the department needs
to be stricter in these aspects.
• The crime on streets and residents being increasing over the years, the
department needs to increase its vigilance in these areas.
• The number of relevant arrests should be increased and stricter laws
should be imposed.
• The patrolling and vigilance need to be high on weekdays as the crime
rates can be seen to be higher in the apartments in these days.
Research Reflection:
• Conducting the concerned research on the crime trends in the region of
Chicago for the concerned period of time has been a learning
experience, both in terms of research related activities as well as in
terms of increase in the knowledge base regarding the trends and
patterns of crime rates in the concerned region.
• Several challenges were incurred while carrying out the research, the
primary ones being the selection and analysis of the huge raw data and
organization of the same so as to make the findings easily
comprehendible.
• Sorting the findings across regions, time frames and types of crimes
have also been a challenge in the concerned research.
• These activities have helped the concerned research to recommend
relevant solutions to the issues regarding the crime rates and incidences
in the concerned region.
• Conducting the concerned research on the crime trends in the region of
Chicago for the concerned period of time has been a learning
experience, both in terms of research related activities as well as in
terms of increase in the knowledge base regarding the trends and
patterns of crime rates in the concerned region.
• Several challenges were incurred while carrying out the research, the
primary ones being the selection and analysis of the huge raw data and
organization of the same so as to make the findings easily
comprehendible.
• Sorting the findings across regions, time frames and types of crimes
have also been a challenge in the concerned research.
• These activities have helped the concerned research to recommend
relevant solutions to the issues regarding the crime rates and incidences
in the concerned region.
References:
Ahishakiye, E., Omulo, E. O., Taremwa, D., & Wario, R. (2013). Comparative Analysis of
Open source Business Intelligence tools for Crime Data Analytics.
Arnio, A. N., & Baumer, E. P. (2012). Demography, foreclosure, and crime: Assessing
spatial heterogeneity in contemporary models of neighborhood crime
rates. Demographic Research, 26, 449-486.
Arnio, A. N., Baumer, E. P., & Wolff, K. T. (2012). The contemporary foreclosure crisis and
US crime rates. Social science research, 41(6), 1598-1614.Burdick-Will, J., 2013. School
violent crime and academic achievement in Chicago. Sociology of education, 86(4),
pp.343-361.
Burdick-Will, J. (2013). School violent crime and academic achievement in
Chicago. Sociology of education, 86(4), 343-361.
Cohen, L. E., & Felson, M. (2016). Social Change and Crime Rate Trends: A Routine
Activity Approach (1979). In Classics in Environmental Criminology (pp. 203-232). CRC
Press.
Kubrin, C. E., & Ishizawa, H. (2012). Why some immigrant neighborhoods are safer than
others: Divergent findings from Los Angeles and Chicago. The Annals of the American
Academy of Political and Social Science, 641(1), 148-173.
Ahishakiye, E., Omulo, E. O., Taremwa, D., & Wario, R. (2013). Comparative Analysis of
Open source Business Intelligence tools for Crime Data Analytics.
Arnio, A. N., & Baumer, E. P. (2012). Demography, foreclosure, and crime: Assessing
spatial heterogeneity in contemporary models of neighborhood crime
rates. Demographic Research, 26, 449-486.
Arnio, A. N., Baumer, E. P., & Wolff, K. T. (2012). The contemporary foreclosure crisis and
US crime rates. Social science research, 41(6), 1598-1614.Burdick-Will, J., 2013. School
violent crime and academic achievement in Chicago. Sociology of education, 86(4),
pp.343-361.
Burdick-Will, J. (2013). School violent crime and academic achievement in
Chicago. Sociology of education, 86(4), 343-361.
Cohen, L. E., & Felson, M. (2016). Social Change and Crime Rate Trends: A Routine
Activity Approach (1979). In Classics in Environmental Criminology (pp. 203-232). CRC
Press.
Kubrin, C. E., & Ishizawa, H. (2012). Why some immigrant neighborhoods are safer than
others: Divergent findings from Los Angeles and Chicago. The Annals of the American
Academy of Political and Social Science, 641(1), 148-173.
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