Structured data is highly organized and easily understood by machine language. It is usually stored in well-defined schemas such as databases. Examples of structured data include:

1. Relational data: This is data that is stored in relations (tables). Each table has a unique key identifying each record, and these keys are used to establish relationships between the tables. An example of this is a customer database, where each customer has a unique ID, and this ID is used to link the customer's orders, payments, and other interactions with the business.

2. Dates and numbers: These are structured because they have a specific format that is universally understood. For example, a date is always structured in a day/month/year format, and a number is a numerical value.

3. Addresses: These are structured because they follow a specific format of house number, street name, city, state, and zip code.

4. Names: These are structured because they usually follow a format of first name, middle name, and last name.

5. Phone numbers: These are structured because they follow a specific format, usually country code, area code, and then the local number.

So, to answer your question, examples of structured data could be a customer database, dates, numbers, addresses, names, and phone numbers.

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Structured data is highly organized and easily understood by machine language. It is usually stored in well-defined schemas such as databases. Examples of structured data include:

1. Relational data: This is data that is stored in relations (tables). Each table has a unique key identifying each record, and these keys are used to establish relationships between the tables. An example of this is a customer database, where each customer has a unique ID, and this ID is used to link the customer's orders, payments, and other interactions with the business.

2. Dates and numbers: These are structured because they have a specific format that is universally understood. For example, a date is always structured in a day/month/year format, and a number is a numerical value.

3. Addresses: These are structured because they follow a specific format of house number, street name, city, state, and zip code.

4. Names: These are structured because they usually follow a format of first name, middle name, and last name.

5. Phone numbers: These are structured because they follow a specific format, usually country code, area code, and then the local number.

So, to answer your question, examples of structured data could be a customer database, dates, numbers, addresses, names, and phone numbers.

Knowee AI · Accepted Answer

Structured data is highly organized and easily understood by machine language. It is usually stored in well-defined schemas such as databases. Examples of structured data include:

1. Relational data: This is data that is stored in relations (tables). Each table has a unique key identifying each record, and these keys are used to establish relationships between the tables. An example of this is a customer database, where each customer has a unique ID, and this ID is used to link the customer's orders, payments, and other interactions with the business.

2. Dates and numbers: These are structured because they have a specific format that is universally understood. For example, a date is always structured in a day/month/year format, and a number is a numerical value.

3. Addresses: These are structured because they follow a specific format of house number, street name, city, state, and zip code.

4. Names: These are structured because they usually follow a format of first name, middle name, and last name.

5. Phone numbers: These are structured because they follow a specific format, usually country code, area code, and then the local number.

So, to answer your question, examples of structured data could be a customer database, dates, numbers, addresses, names, and phone numbers.

Which of the following is an example of structured data?

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