My Name is Daniel kebede ID: 0438/12

some description about our titanic datasets that i saw.

Passenger Class and Survival:

Insight:

• Higher Class Passengers Had a Higher Survival Rate: Passengers in higher classes (e.g., 1st class) had a higher chance of survival compared to lower classes.

Age and Survival:

Insight:

• Younger Passengers Had a Higher Survival Rate: The data suggests that younger passengers had a higher chance of survival.

Sex and Survival:

Insight:

• Females Had a Higher Survival Rate: The data suggests that females had a significantly higher chance of survival compared to males.

Fare and Survival:

Insight:

• Higher Fare Passengers Had a Higher Survival Rate: Passengers who paid higher fares had a better chance of survival.

These are general trends observed in the Titanic dataset. The provided code above are use seaborn and matplotlib for visualization.

Answer for question.txt listed questions

What factors influenced the survival rate of passengers? Insight:

• Gender and Passenger Class Were Strong Influencers: The survival rate was significantly higher for females compared to males. Additionally, passengers in higher classes had a better chance of survival.

How does the age or class of a passenger relate to their survival? Insight:

• Younger Passengers and Higher Classes Had Higher Survival Rates: Younger passengers and those in higher classes (especially 1st class) had a higher likelihood of survival.

Were there any trends or patterns in the data that affected survival? Insight:

• Fare and Embarked Port Showed Trends: Passengers who paid higher fares and those who embarked from certain ports had higher survival rates.