Titanic Data Analysis: Exploring the Story Behind the Numbers

Titanic Tragedy ?:

The Titanic incident is considered one of the most famous tragedies in history ?. It occurred on April 15, 1912, when the British ship sank during its maiden voyage from Southampton (England) to New York (United States). The ship was carrying more than 2,200 passengers ? and crew members from various social classes (wealthy, poor, workers). At midnight ? on April 14, the ship struck an iceberg in the North Atlantic Ocean ??️, and by the morning of April 15, it had completely sunk.

This disaster resulted in the deaths of more than 1,500 people ❌?, most of whom were poor passengers, women, children ?, and crew members ?‍?, while only about 700 people survived ✅?. The main causes of the sinking were:

The bow of the ship collided with the iceberg ?️, causing several lower compartments to rupture.

The lack of lifeboats, as there were only enough for 1,200 people while the total number on board exceeded 2,200 ?.

A slow response and lack of sufficient communication with nearby ships ?.

The ship was traveling at high speed despite warnings about the presence of icebergs ?️.

?Discribtion of dataset :

The Titanic dataset ?? contains detailed information about passengers aboard the RMS Titanic.It is a sample of the passengers that were on the ship.It includes features such as Passenger ID, survival status (0 = No, 1 = Yes), ticket class (1st, 2nd, or 3rd), name, gender, age, number of siblings or spouses aboard (SibSp), number of parents or children aboard (Parch), ticket number, fare paid, cabin number (if available), and port of embarkation (S = Southampton, C = Cherbourg, Q = Queenstown) : will provide valuable insights into the social and economic for passengers on board the Titanic.

? What Will We Do❓

1️⃣ Load and explore the data together

2️⃣ Clean and preprocess the data

3️⃣ Perform EDA (Exploratory Data Analysis) and find relationships

4️⃣ Visualize the data in different forms ??

5️⃣ Extract insights and summarize them ?

6️⃣ Answer key questions based on the data ✅