Google Sheets Fundamentals - Data Validation

The video tutorial explains the concept of dirty data and how to use Google Sheets' data validation features to maintain clean data. It demonstrates setting up a song database with categories, implementing data validation for categories, dates, and ratings, and exploring text validation options. The tutorial emphasizes the importance of data validation in ensuring data integrity and preventing errors during data entry.

What is 'dirty data' in the context of databases and spreadsheets?

• Data that is too large to process

• Data that does not meet the required standards

• Data that is physically unclean

• Data that is encrypted

Why is it important to create a list of categories in a separate sheet for data validation?

• To make the spreadsheet look more organized

• To ensure that only predefined categories are used

• To increase the speed of data entry

• To allow for more complex calculations

What happens if you enter an invalid date in a cell with date validation?

• The spreadsheet will crash

• The cell will display an error message

• The input will be rejected

• The cell will automatically correct the date

Which of the following is a valid rating range for the rating validation rule?

• 5 to 15

• 1 to 10

• 0 to 5

• 10 to 20

What type of data validation can be used to ensure a cell contains a valid email address?

• Number validation

• Date validation

• Text validation

• Email validation

What is the purpose of showing validation help text in a cell?

• To provide instructions on what data to enter

• To show the formula used in the cell

• To display the current date

• To highlight the cell in a different color

Which option is NOT available for text validation in Google Sheets?

• Contains specific text

• Is a valid phone number

• Is a valid URL

• Is a valid email