1. CRIME DATA
OF
CHICAGO CITY

2. METHODOLOGY USED
• Most of the variable were categorical in nature which are to aggregated to perform the clustering analysis .
• The data is then uploaded into the database and aggregated by DISTRICT ,WARD and COMMUNITY AREA
to find the count of crimes by categories, following which the hierarchal clustering is performed
• Tools used :
• TERADATA
• TABLEAU
• SPOTFIRE

3. CLUSTERING THE CRIME TYPES
CLUSTER-1
SUM_LIQUOR_LAW_VIOLATION
SUM_INTIMIDATION
SUM_PUBLIC_PEACE_VIOLION
CLUSTER-4
SUM_NON_CRIMINAL_SUB_SPECI
CLUSTER-2
SUM_ARSON
SUM_KIDNAPPING
SUM_OTHER_OFFENSE
SUM_CRIMINAL_DAMAGE
SUM_BURGLARY
SUM_SEX_OFFENSE
SUM_OFFENSE_INVOL_CHLDRN
SUM_MOTOR_VEHICLE_THEFT
SUM_OBSCENITY
CLUSTER-3
SUM_NARCOTICS
SUM_PROSTITUTION
SUM_ASSAULT
SUM_WITH_PUBLIC_OFFICER
SUM_ROBBERY
SUM_GAMBLING
SUM_CRIM_SEXUAL_ASSAULT
SUM_HOMICIDE
SUM_BATTERY
SUM_INTER_WITH_PUB_OFFICER
SUM_WEAPONS_VIOLATION
CLUSTER-5
SUM_CRIMINAL_TRESPASS
SUM_STALKING
SUM_OTHER_NARCOTIC_VIOLATION
SUM_PUBLIC_INDECENCY
SUM_DECEP_PRACT
SUM_THEFT
SUM_NON_CRIMINAL

4. INSIGHT: WHERE MALE TO FEMALE RATIO IS LESS, THERE ARE MORE
CRIMES COMMITTED.
MAP SHOWING MALE TO FEMALE RATIO
BUBBLE SIZE SHOWS SUM OF TOTAL NUMBER OF CRIMES COMMITTED

5. MAP SHOWING DISTRIBUTION OF THE HOUSE HOLD INCOME
INSIGHT: WHERE HOUSE HOLD INCOME IS LOW, CRIMES ARE MORE

6. MAP SHOWING DISTRIBUTION OF THE PER CAPITA INCOME
INSIGHT: WHERE PER CAPITA IS MORE, MORE THEFTS WERE
COMMITTED

7. MAP SHOWING MALE TO FEMALE RATIO
BUBBLE SIZE SHOWS SUM OF HOMICIDES WITH DISTRICT NUMBERS
INSIGHT: WHERE MALE TO FEMALE RATIO IS LESS, HOMICIDES ARE
MORE

8. MAP SHOWING MALE TO FEMALE RATIO
BUBBLE SIZE SHOWS SUM OF CRIME - PROSTITUTION.
INSIGHT: WHERE MALE TO FEMALE RATIO IS LESS, PROSTITUTION IS
MORE

9. HEAT MAP – DISTRICT
INSIGHT: ON CLUSTERING THE COUNT OF
CRIMES, WE OBSERVE THAT DISTRICTS ARE
GETTING CLUSTERED INTO 3 CATEGORIES –
HIGH, INTERMEDIATE AND LOW.
AREA
INSIGHT: WE SEE THAT FEW DISTRICTS
IN THE TOP TWO CLUSTERS HAVE
INVERSE PATTERN ON FEW VARIABLES.
PARALLEL COORDINATE – DISTRICT
THE SAME PATTERN CAN BE OBSERVED FOR WARD AND COMMUNITY AREA

10. FUTURE SCOPE OF STUDY
• Application of Dummy Variables can be explored
• Association rules among crime types can be applied
• Location type based clustering can be performed
• Network analysis – To identify (closeness )distance between two crimes

11. APPENDICES

12. HEAT MAP – COMMUNITY AREA

13. HEAT MAP – WARD

14. PARALLEL COORDINATE – COMMUNITY AREA

15. PARALLEL COORDINATE– WARD