Guam Hurricane Data Analysis

Guam Hurricane Data Analysis — -Final Project-

Math 102-Spring 2022

Katharine Segrave and Kennedy Scaggs

Guam Hurricane Data Analysis Table of Contents

Introduction: 03: Project Description 04: Objectives 05: Data Set 06-08: Variables of Data Set

Findings: 09-10: Data Analysis (Time Span) 11-14: Data Analysis ( Max Wind) 15-18: Data Analysis (Lowest Pressure) 19-22: Data Analysis ( Fatalities ) 23-26: Data Analysis ( Cost of Damage )

Conclusion: 31-32: Resources 33-34: Conclusion

Project Description: Hurricanes leave behind devastating destruction to communities all across the world.

For this project, the focus is on Guam to see how often hurricanes occur in that area and find the key variables contributing to these extreme tropical storms in Guam. Data collection is essential with natural hazards like hurricanes, and the data analysis on Guam reflects that.

A necessary part of citizen security is to collect data from each hurricane to better understand the weather patterns and better prepare the community with weather advisories.

3

Objectives Key questions that led to Analysis:

What are some Commonalities within wind cycles between the Hurricane?

What were the top 5 most fatal hurricanes in Guam's history?

Identify variables that can been seen as a consistent patterns to the most dangerous Hurricanes in Guam's history?

4

Variables needed to fulfill Project Objectives

Classification of Variables Variable

Hurricane Name Year Start Date End Date Time Span Max-Wind High WInds Lowest Pressure Fatalities Damage 5

Quantitative Qualitative

Level of Measurement

Hurricane Name

Nominal (Hurricane Name)

Year

Interval (Year)

Start Date

Interval (Month+Day)

End Date

Interval (Month+Day)

Time Span

Interval (Number of Days)

Max-Wind

Interval (MPH)

High Winds

Interval (Number of Minutes)

Lowest Pressure

Interval (HG)

Fatalities

Interval (Number of Deaths)

Damage

Intervale ( Millions of Dollars)

D A T A S E T 6

7

4.042249986

25.21733488

0

0.422014152

0

0.0015

Q1

10

150

1

26.685

1

20.4375

Median or Q2

13

165.8870968

1

27.17

12

531.3636167

Q3

16

180

1

27.46

74

869.8258713

1

1280617 28.2 .596

758061.8259

53963.6 24.93414481 1738

33755.65736

Min

25

Max

615.4006243

Mean

13.07056895

176.1413397

0.916666667

Mode

13

180

1

19.46818557

Variance Standard Deviation

4.507175215

9887.456535 101.5743371

27.17

1

none

0.076388889

6542390 54.39287065 9317

23847633105

0.282329851

261282.

7.533775818 2748

157897.4871

Based on our raw Data set the 5 number summary was used to organize our data further.

We also used mean, mode, variance and standard deviation.

8

5 N U M B E R S U M M A R Y

DATA

ANALYSIS

Data Analysis : GUAM HURRICANE TIME SPAN

TIME SPAN - DAYS

LOWER CLASS LIMIT

MIN

6

MAX

25

RANGE

19

CLASS WIDTH

3.8

CLASS WIDTH

4

11

UPPER CLASS LIMIT

LOWER BOUNDARY

UPPER BOUNDARY

6

9

5.5

9.5

10

13

9.5

13.5

14

17

13.5

17.5

18

21

17.5

21.5

22

26

21.5

26.5

Frequency Distribution Bin

More

Frequency 9.5

3

13.5

CLASS

BOUNDARY

FREQUENCY

PERCENTAGE

6-9

5.5-9.5

3

10%

13

10-13

9.5-13.5

13

42%

17.5

9

14-17

13.5-17.5

9

29%

21.5

5

18-21

17.5-21.5

5

16%

26.5

1

22-26

21.5-26.5

1

3%

31

100%

0

TOTAL

12

BAR GRAPH DISPLAY OF TIME SPAN 13

SCATTER DISPLAY OF TIME SPAN 14

Data Analysis : GUAM HURRICANE MAX WIND SPEED

MAX WIND SPEED

15

LOWER CLASS LIMIT UPPER CLASS LIMIT

LOWER BOUNDARY

UPPER BOUNDARY

MIN

90

90

114

89.5

114.5

MAX

215

115

139

114.5

139.5

RANGE

125

140

164

139.5

164.5

CLASS WIDTH

25

165

189

164.5

189.5

CLASS WIDTH

25

190

215

189.5

215.5

Frequency Distribution Bin

Frequency

CLASS

BOUNDARY

FREQUENCY

PERCENTAGE

114.5

1

90-114

89.5-114.5

1

3%

139.5

2

115-139

114.5-139.5

2

6%

164.5

10

140-164

139.5-164.5

10

32%

189.5

14

165-189

164.5-189.5

14

45%

215.5

4

190-215

189.5-215.5

4

13%

31

100%

More

0

TOTAL

16

BAR GRAPH DISPLAY OF MAX WIND

17

SCATTER DISPLAY OF MAX WIND 18

Data Analysis : GUAM HURRICANE LOWEST PRESSURE

LOWEST PRESSURE

19

LOWER CLASS LIMIT UPPER CLASS LIMIT LOWER BOUNDARY UPPER BOUNDARY

MIN

25.69

25.69

26.69

25.19

27.19

MAX

28.2

27.69

28.69

27.19

29.19

RANGE

2.51

CLASS WIDTH

1.255

CLASS WIDTH

2

Frequency Distribution Bin

Frequency

CLASS

BOUNDARY

FREQUENCY

PERCENTAGE

27.19

21

25.69-26.69

25.19-27.19

21

68%

29.19

10

27.69-28.69

27.19-29.19

10

32%

TOTAL

31

100%

More

0

20

BAR GRAPH DISPLAY OF LOWEST PRESSURE

21

SCATTER DISPLAY OF LOWEST PRESSURE

22

Data Analysis : GUAM HURRICANE FATALITIES

MAX WIND SPEED

LOWER CLASS LIMIT

UPPER CLASS LIMIT

LOWER BOUNDARY

UPPER BOUNDARY

MIN

0

0

1270

-0.5

1270.5

MAX

6352

1271

2541

1270.5

2541.5

RANGE

6352

2542

3812

2541.5

3812.5

CLASS WIDTH

1270.4

3813

5083

3812.5

5083.5

CLASS WIDTH

1271

5084

6355

5083.5

6355.5

23

Frequency Distribution Bin

Frequency

1270.5

30

2541.5

CLASS

BOUNDARY

PERCENTAGE 30

97%

1270.5-2541.5

0

0%

2542-3812

2541.5-3812.5

0

0%

0

3813-5083

3812.5-5083.5

0

0%

1

5084-6355

5083.5-6355.5

1

3%

31

100%

0-1270

0.5-1270.5

0

1271-2541

3812.5

0

5083.5 6355.5 More

FREQUENCY

0

TOTAL

24

BAR GRAPH DISPLAY OF FATALITIES 25

SCATTER DISPLAY OF FATALITIES 26

Data Analysis : GUAM HURRICANE COST OF DAMAGE

MAX WIND SPEED

LOWER CLASS LIMIT

UPPER CLASS LIMIT

LOWER BOUNDARY

UPPER BOUNDARY

MIN

0.0015

0.0015

753.0015

-0.4985

753.5015

MAX

3770

754.0015

1507.0015

753.5015

1507.5015

3769.9985

1508.0015

2261.0015

1507.5015

2261.5015

CLASS WIDTH

753.9997

2262.0015

3015.0015

2261.5015

3015.5015

CLASS WIDTH

754

3016.0015

3770.0015

3015.5015

3770.5015

RANGE

27

Frequency Distribution Bin

Frequency

753.5015

26

1507.5015

1

2261.5015

CLASS

BOUNDARY

FREQUENCY

PERCENTAGE 26

87%

754.0015-1507.0015 753.5015-1507.5015

1

3%

1

1508.0015-2261.001 1507.5015-2261.501 5 5

1

3%

3015.5015

1

2262.0015-3015.001 2261.502-3015.5015 5

1

3%

3770.5015

1

3016.0015-3770.001 3015.502-3770.5015 5

1

3%

More

0

30

100%

0.0015-753.0015

.4985-753.5015

TOTAL

28

BAR GRAPH DISPLAY OF COST OF DAMAGES 29

SCATTER DISPLAY OF COST OF DAMAGES 30

R E S O U R C E S

https://en.wikipedia.org/wiki/Typhoon_Ida_(1958) https://en.wikipedia.org/wiki/Typhoon_Hester_(1952) https://en.wikipedia.org/wiki/Typhoon_Nancy_(1961) https://en.wikipedia.org/wiki/Typhoon_Karen https://en.wikipedia.org/wiki/Typhoon_Pamela_(1976) https://en.wikipedia.org/wiki/Typhoon_Alice_(1979) https://en.wikipedia.org/wiki/Typhoon_Rita_(1978) https://en.wikipedia.org/wiki/Typhoon_Tip https://en.wikipedia.org/wiki/Typhoon_Lynn_(1987) https://en.wikipedia.org/wiki/Typhoon_Yuri_(1991) https://en.wikipedia.org/wiki/Cyclone_Forrest https://en.wikipedia.org/wiki/Typhoon_Omar https://en.wikipedia.org/wiki/Typhoon_Gay_(1992) https://en.wikipedia.org/wiki/Typhoon_Janis_(1992) https://en.wikipedia.org/wiki/Typhoon_Paka https://en.wikipedia.org/wiki/Typhoon_Joan_(1997)

https://en.wikipedia.org/wiki/Typhoon_Ivan https://en.wikipedia.org/wiki/Typhoon_Keith https://en.wikipedia.org/wiki/Typhoon_Pongsona https://en.wikipedia.org/wiki/Typhoon_Halong_(2002) https://en.wikipedia.org/wiki/Typhoon_Chataan https://en.wikipedia.org/wiki/Typhoon_Tingting https://en.wikipedia.org/wiki/Typhoon_Chaba_(2004) https://en.wikipedia.org/wiki/Typhoon_Haiyan https://en.wikipedia.org/wiki/Typhoon_Francisco_(2013) https://en.wikipedia.org/wiki/Typhoon_Wipha_(2013) https://en.wikipedia.org/wiki/Typhoon_Dolphin_(2015) https://en.wikipedia.org/wiki/Typhoon_Mangkhut https://en.wikipedia.org/wiki/Typhoon_Yutu https://en.wikipedia.org/wiki/Typhoon_Maria_(2018) https://en.wikipedia.org/wiki/Typhoon_Wutip_(2019)

Conclusion

Objectives answered: What are some Commonalities within wind cycles between the Hurricane? ● ●

Average time of highest winds with Guam's history of hurricanes was analyzed to be 125 miles per hours for the heist recorded winds It is then seen that high winds are quite consistent within hurricanes so this indicates that the change in other variables may have a higher connection to the cost of destruction.

Hurricane Nancy had the highest recorded maximum wind speed out of all hurricanes

What were the top 5 most fatal hurricanes in Guam's history Haiyan was recorded to have the highest fatality rate of more that 6,000 out of all hurricanes within guam 1) 2) 3) 4) 5)

Haiyan Ida Rita Nancy Mangkhut

Identify variables that can been seen as a consistent patterns to the most dangerous Hurricanes in Guam's history? ● ● ●

33

The higher the wind speed = more threatening of a hurricane The Lower the pressure = more severe the hurricane The lower the hurricanes pressure was with a longer time span = increase cost of damage

Interesting Finding: * Length of hurricanes are not connected to the damage that is produced. The data shows Hurricane Paka lasted for 25 days however acquired*

Analysis Takeaways: Hurricanes describe an extreme shift in weather conditions. Characteristics of hurricanes include extremely strong winds that have the capability of uprooting trees and damaging homes and other independent properties. Along with heavy winds also comes severe rain showers. With the combination of water and wind they are often recognised by satellite images that capture hurricanes resembling an eye. In these terms the eye refers to the center point of the hurricane itself. It should be noted that on average hurricanes last anywhere between 12- 24 hours.

However it is possible for a hurricane to last up to a month. Hurricane project damage on communities all across the world. For this project the focus is on Guam to be able to see how hurricanes in that area are affecting that area and how it is accusing. The collection of data is quite important with natural hazards like hurricanes and through the data analisis on Guam that stays true. An important part of citizen security is to collect data from each hurricane to better understand the weather patterns and better prepare the community with weather advisories.

Data collection is essential with natural hazards like hurricanes, and the data analysis on Guam reflects that. A necessary part of citizen security is to collect data from each hurricane to better understand the weather patterns and better prepare the community with weather advisories.

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-THANK YOU-