It is a titanic case study using excel

1. -By Radhika kashid
*TITANIC CASE
STUDY

2. *INTRODUCTION
The Sinking of Titanic was one of
the deadliest peacetime maritime
disaster in history and quickly
became a catalyst for change. This
incident happened in the North
Atlantic Ocean in the early hours
of April 15, 1912, The United
States congress held hearings on
causality that resulted in a report
and measures to improve safety of
navigation.
We analyze this report with help
of charts

3. *SURVIVEDAND DID NOT SURIVIVE
Graph Represents Survived & Did
not survive Of People On Titanic
41% people are survived where
59% people are not Survived
number of deaths was
comparatively greater than the
survived people
% survived
41%
% did not
survive
59%
Survived and Did not
Survived
Data needed % survived
% did not
survive
Total 41% 59%

4. *GENDERWISE SURVIVORSHIP
This Graph Represents Gender
Impact On Survival
714 people traveled on Titanic, 453
were men and 261 women.
Out of 453 men, 360 men died, and
93 men survived.
Out of 261 women, 197 women
survived, and 64 women died.
Male fatality rate is greater than
female fatality rate.
0
50
100
150
200
250
300
350
400
450
500
Survived Did not
survive
Total
93
360
453
197
64
261
Men Women
Data
needed Survived
Did not
survive Total
Men 93 360 453
Women 197 64 261
Fig - 2

5. *CLASS WISE SURVIVORSHIP
The passenger class has impacted the survival
rate as from the above graph we can observe
that highest survival rate is for class 1 and
highest did not survival rate is for class 3,
whereas class 2 passenger are having equal
survival and did not survival rate.
From the above graph the observation is that,
that out of total number of class 3 has an
greater number of death rate of 76%,as
compared to class 2 and class 3 that has the not
survival percentage of 34% and 52%
respectively.
First class- 66% survived / 34% demise
Second class-48% survived / 52% demise
Third class-24% survived / 76% demise
Data needed Survived Did not survive
Class 1 122 64
Class 2 83 90
Class 3 85 270
122
83 85
64
90
270
0
50
100
150
200
250
300
Class 1 Class 2 Class 3
Survived
Did not survive
34%
52%
76%
% did not survive
Class 1
Class 2
Class 3
66%
48%
24%
% survived
Class 1
Class 2
Class 3

6. *Passenger Age Impact On Survival
From the graph the observation is
that, the Age Class of 18-30 and age
class of 30-50 passenger death is more
as compare to age class <18 and age
class >50 . has impacted the survival
rate as from the above graph we can
observe that highest survival rate is
for Age Class <18 .
As children were rescued on priority
based their survival rate is highest i.e
54%
Data
needed Survived
Did not
survive Total
<18 61 52 113
18-30 95 176 271
30-50 107 149 256
>50 27 47 74
61
95 107
27
52
176 149
47
113
271
256
74
<18 18-30 30-50 >50
AGEWISE SURVIVORSHIP
Survived Did not survive Total
% survived
% did not survive
0%
10%
20%
30%
40%
50%
60%
70%
<18
18-30
30-50
>50
54%
35%
42%
36%
46%
65%
58%
64%
% survived
% did not survive

7. *conclusion
 After analysis of the data there was a significant impact on Sex,
Passenger Class and Age.
 According to the statistics, women's lives were meagerly saved
than men's lives because of that sex ratio was impacted.
 Class 3 passengers fatality rate was highest than class 1 and
class 2 passengers fatality rate. This incident mostly impact on
poor class passengers
 Working population that is age class 18-30 and age class 30-50
fatality rate was highest in the incident. Children survival rate
is highest because they are the upcoming future generation so
they got the highest priority at the time of rescue opration.

8. *THANK YOU