What best describes the function of cross-filtering in visual reports?

What best describes the function of cross-filtering in visual reports?

• A. It highlights specific cells or rows in a dataset based on certain criteria or rules
• B. It allows a selection in one visual to filter out unrelated data in another visual
• C. It displays the raw data of the selected visual
• D. It highlights the selected data across multiple visuals without changing the displayed data

Answer: (B)

Cross-filtering in visual reports is a powerful feature that enhances data interactivity and clarity. The correct choice indicates that it allows a selection in one visual to filter out unrelated data in another visual. This means that when a user interacts with a particular data point or segment in one visualization, only the data relevant to that selection will be reflected in the other visuals on the report. For example, if a user clicks on a specific category in a bar chart, cross-filtering ensures that other visuals, such as pie charts or line graphs, update to display information solely pertinent to that category, allowing for a more focused analysis. This functionality supports users in discovering relationships and insights that might not be immediately apparent without such filtering, leading to more informed decision-making. In contrast, the other options do not capture the essence of cross-filtering. Highlighting cells or rows is more related to data visualization techniques but does not involve filtering between multiple visuals. Displaying raw data does not facilitate the interactive connections across visuals; instead, it shows the underlying dataset. Highlighting selected data across multiple visuals without changing the displayed data suggests a static representation without the interactive filtering benefits that cross-filtering provides. Thus, the essence of how cross-filtering operates in visual reports is

Cross-filtering in visual reports is a powerful feature that enhances data interactivity and clarity. The correct choice indicates that it allows a selection in one visual to filter out unrelated data in another visual. This means that when a user interacts with a particular data point or segment in one visualization, only the data relevant to that selection will be reflected in the other visuals on the report.

For example, if a user clicks on a specific category in a bar chart, cross-filtering ensures that other visuals, such as pie charts or line graphs, update to display information solely pertinent to that category, allowing for a more focused analysis. This functionality supports users in discovering relationships and insights that might not be immediately apparent without such filtering, leading to more informed decision-making.

In contrast, the other options do not capture the essence of cross-filtering. Highlighting cells or rows is more related to data visualization techniques but does not involve filtering between multiple visuals. Displaying raw data does not facilitate the interactive connections across visuals; instead, it shows the underlying dataset. Highlighting selected data across multiple visuals without changing the displayed data suggests a static representation without the interactive filtering benefits that cross-filtering provides. Thus, the essence of how cross-filtering operates in visual reports is