Explain the different levels of data classification

Data classification is a process of categorizing data into types, forms, or any other distinct class. Data classification allows for better understanding and handling of data, especially in large scale data-driven industries. There are three main levels of data classification:

1. Public: This is the lowest level of data classification. Public data is information that can be disclosed to the public without any risk or violation of privacy. This data is not confidential and can be shared without any restrictions. Examples of public data include weather reports, stock prices, or any information available in the public domain.

2. Sensitive: This level of data classification includes information that is not classified as public or confidential but is sensitive in nature. This data should be protected to prevent unauthorized access. S