Safety is the major issue anywhere. There are a lot of crimes happening every day. It would be very insightful to analyze the crime rate data to identify frequency of crimes, types of crimes, areas with a higher number of crimes etc. These insights will then have the potential to aid in proactive preventive measures by police increasing the level of safety in certain are.To add a different dimension to the analysis we considered California State University Los Angeles as our focal point and proceeded to project the data based on different parameters like time and distance. This would result in extracting key findings about crimes occurring around California State University Los Angeles and in Los Angeles.

1. Jongwook Woo
HiPIC
CSULA
Crime rate data analysis
in Los Angeles
Presented by,
Donda, Ram Dharan
Puli, Sridhar Reddy
Advised by,
Dr Jongwook Woo

2. High Performance Information Computing Center
Jongwook Woo
CSULA
Contents
Introduction
Microsoft Azure HDInsight Cluster Details
Raw data projection
Detailed analysis of Crime Data
Conclusion
Data set

3. High Performance Information Computing Center
Jongwook Woo
CSULA
Introduction
Day to day exponential growth of crimes
US holds 44th position with 50.15% crime
index
Despite of having technology
Total reported crimes in USA are 377.76
million in 2012-15

4. High Performance Information Computing Center
Jongwook Woo
CSULA
Specifications of Data Set
Data is collected from Los Angeles Police
Department (LAPD)
Offenses like Criminal, Vandalism, Burglary,
Assault, Traffic and Theft occurred in 2012-15 are
analysed.
 File Size – 151MB
 Number of Files – 1
 File Format – CSV (Comma Separated Values)
 Total Number of offenses – 8.94 million

5. High Performance Information Computing Center
Jongwook Woo
CSULA
Microsoft Azure
HDInsight Cluster Details
Number of data nodes - 2
CPU – 4cores
Memory – 14GB
Operating system - Windows server 2012

6. High Performance Information Computing Center
Jongwook Woo
CSULA
Projection of Raw Data
0
10000
20000
30000
40000
50000
60000
70000
80000
90000
year2012 year2013 year2014 year2015

7. High Performance Information Computing Center
Jongwook Woo
CSULA
Total No. of Crimes in 2012-15
0
5000
10000
15000
20000
25000
year2012 year2013 year2014 year2015

8. High Performance Information Computing Center
Jongwook Woo
CSULA
Mapping of Crimes Occurred within 5miles
from CSULA, UCLA and USC in 2015

9. High Performance Information Computing Center
Jongwook Woo
CSULA
Mapping of Crimes Occurred within 5miles
from CSULA, UCLA and USC in 2014

10. High Performance Information Computing Center
Jongwook Woo
CSULA
Mapping of Crimes Occurred within 5miles
from CSULA, UCLA and USC in 2013

11. High Performance Information Computing Center
Jongwook Woo
CSULA
No.of Crimes for every 5miles
from CSULA
0
10000
20000
30000
40000
50000
60000
70000
80000
90000
0-5 5-10 11-15 15-20 20-25 25-30 30-35 >35
csula_2012 csula_2013 csula_2014 csula_2015

12. High Performance Information Computing Center
Jongwook Woo
CSULA
No.of Crimes for every 5miles
from UCLA
0
20000
40000
60000
80000
100000
120000
0-5 5-10 11-15 15-20 20-25 25-30 30-35 35-40 >40
ucla_2012 ucla_2013 ucla_2014 ucla_2015

13. High Performance Information Computing Center
Jongwook Woo
CSULA
No. of Crimes for every 5miles
from USC
0
20000
40000
60000
80000
100000
120000
0-5 5-10 11-15 15-20 20-25 25-30 30-35 35-40 >40
ucla_2012 ucla_2013 ucla_2014 ucla_2015

14. High Performance Information Computing Center
Jongwook Woo
CSULA
Comparision of Crimes for every
5miles from CSULA, UCLA and USC
in 2012
0
20000
40000
60000
80000
100000
120000
csula_2012 ucla_2012 usc_2012

15. High Performance Information Computing Center
Jongwook Woo
CSULA
Comparision of Crimes for every
5miles from CSULA, UCLA and USC
in 2013
0
20000
40000
60000
80000
100000
120000
0-5 5-10 11-15 15-20 20-25 25-30 30-35 35-40 >40
csula_2013 ucla_2013 usc_2013

16. High Performance Information Computing Center
Jongwook Woo
CSULA
Comparision of Crimes for every
5miles from CSULA, UCLA and USC
in 2014
0
20000
40000
60000
80000
100000
120000
0-5 5-10 11-15 15-20 20-25 25-30 30-35 >35
csula_2014 ucla_2014 usc_2014

17. High Performance Information Computing Center
Jongwook Woo
CSULA
Comparision of Crimes for every
5miles from CSULA, UCLA and USC
in 2015
0
20000
40000
60000
80000
100000
120000
0-5 5-10 11-15 15-20 20-25 25-30 30-35 35-40 40-50 >50
csula_2015 ucla_2015 usc_2015

18. High Performance Information Computing Center
Jongwook Woo
CSULA
No.of crimes per area in LA
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
77thStreet
Mission
Newton
Rampart
Southwest
Topanga
VanNuys
Wilshire
Central
Devonshire
Foothill
Harbor
Hollenbeck
Hollywood
NHollywood
Pacific
WestValley
Northeast
Olympic
Southeast
WestLA
in2012 in2013 in2014 in2015

19. High Performance Information Computing Center
Jongwook Woo
CSULA
Total No.of Crimes for every
2hours in LA
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
77thStreet
Mission
Newton
Rampart
Southwest
Topanga
VanNuys
Wilshire
Central
Devonshire
Foothill
Harbor
Hollenbeck
Hollywood
NHollywood
Pacific
WestValley
Northeast
Olympic
Southeast
WestLA
in2012 in2013 in2014 in2015

20. High Performance Information Computing Center
Jongwook Woo
CSULA
No.of crimes for every 2hrs within
5miles from CSULA, UCLA and USC
in 2012
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
csula ucla usc

21. High Performance Information Computing Center
Jongwook Woo
CSULA
No.of crimes for every 2hrs within
5miles from CSULA, UCLA and USC
in 2013
0
2000
4000
6000
8000
10000
12000
csula ucla usc

22. High Performance Information Computing Center
Jongwook Woo
CSULA
No.of crimes for every 2hrs within
5miles from CSULA, UCLA and USC
in 2014
0
2000
4000
6000
8000
10000
12000
Series1 Series2 Series3

23. High Performance Information Computing Center
Jongwook Woo
CSULA
No.of crimes for every 2hrs within
5miles from CSULA, UCLA and USC
in 2015
0 2000 4000 6000 8000 10000 12000
00:00-02:00
02:00-04:00
04:00-06:00
06:00-08:00
08:00-10:00
10:00-12:00
12:00-14:00
14:00-16:00
16:00-18:00
18:00-20:00
20:00-22:00
22:00-24:00
usc ucla csula

24. High Performance Information Computing Center
Jongwook Woo
CSULA
Conclusion
Crime rate is higher in the heart of the city than
in other regions in LA
Average crime rate in the year 2014 is 20312.5
Nearly 119 kinds of crimes are reported
Microsoft Azure allowed us to process the entire
data with minimal cost
Huge storage space in cloud made Hadoop to
store the data without any data loss
HQL made it simple to extract the data from
HDFS

25. High Performance Information Computing Center
Jongwook Woo
CSULA
Data Set details
https://data.lacity.org/A-Safe-City/LAPD-
Crime-and-Collision-Raw-Data-2014/eta5-
h8qx