The Titanic dataset consists of 891 rows and 12 columns, providing important information about the dataset size and complexity.
Previewing the dataset with .sample(5) allows for a random inspection of a few rows, giving a sense of the dataset's structure and content.
Understanding the data types is crucial for proper handling and transformations, as different types may require specific actions such as scaling or encoding.
Identifying and handling missing values is important to prevent skewed analysis or model performance.