Data Visualization

The Titanic dataset is a famous dataset in the field of data science and machine learning, which contains information about the passengers who were aboard the Titanic when it sank on its maiden voyage in 1912. The dataset includes various attributes of the passengers, such as their age, gender, ticket class, fare, and survival status.

The Titanic dataset is widely used in machine learning and data science because it presents a challenging classification problem. The objective is to predict whether a passenger survived or not based on their characteristics.

The Columns in the dataset are as follows:

• PassengerId: Unique ID assigned to each passenger
• Survived: Indicates whether the passenger survived (Yes) or not (No)
• Pclass: Ticket class (1st, 2nd, or 3rd)
• Name: Name of the passenger
• Sex: Gender of the passenger
• Age: Age of the passenger
• SibSp: Number of siblings/spouses aboard the Titanic
• Parch: Number of parents/children aboard the Titanic
• Ticket: Ticket number
• Fare: Fare paid by the passenger
• Embart of embarkation (C = Cherbourg, Q = Queenstown, S = Southampton)


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