What type of information can you get from hovering over a column name in a table visualization?

What type of information can you get from hovering over a column name in a table visualization?

• A. The creation date of the column
• B. Field descriptions
• C. Related dimensions only
• D. Column statistics

Answer: (B)

When you hover over a column name in a table visualization within Looker, you can access field descriptions. This feature allows users to gain insights into the specific column's purpose, data type, and any other relevant information that has been defined in the LookML model. Field descriptions are particularly useful for providing context and assisting users in understanding the data they are working with, enhancing their ability to make informed decisions based on that data. The other options suggest various types of information that are not typically available when hovering over a column name. While creation dates or column statistics might be accessible through other means, such as looking at metadata or exploring data details separately, the immediate action of hovering specifically reveals descriptions associated with that field, clarifying what the data represents and how it can be utilized in analyses. This functionality serves as an important aspect of user experience in Looker, facilitating comprehension and navigation through data visualizations.

When you hover over a column name in a table visualization within Looker, you can access field descriptions. This feature allows users to gain insights into the specific column's purpose, data type, and any other relevant information that has been defined in the LookML model. Field descriptions are particularly useful for providing context and assisting users in understanding the data they are working with, enhancing their ability to make informed decisions based on that data.

The other options suggest various types of information that are not typically available when hovering over a column name. While creation dates or column statistics might be accessible through other means, such as looking at metadata or exploring data details separately, the immediate action of hovering specifically reveals descriptions associated with that field, clarifying what the data represents and how it can be utilized in analyses. This functionality serves as an important aspect of user experience in Looker, facilitating comprehension and navigation through data visualizations.