3. Cross Filter and Cross Highlighting in Power BI Flashcards
What is the definition of cross-highlighting?
Selecting a data point in one visual emphasizes corresponding data points in other related visuals.
What is the purpose of cross-highlighting?
Visually connects related data across multiple visualizations, revealing patterns and relationships.
Give an example of cross-highlighting.
Selecting ‘2022’ in a yearly sales chart highlights 2022 sales data in other charts.
What is the effect of cross-highlighting?
Highlights relevant data while keeping unrelated data visible but de-emphasized.
What is the definition of cross-filtering?
Selecting a data point in one visual filters out unrelated data in other visuals.
What is the purpose of cross-filtering?
Narrow down data to focus on specific criteria and relationships.
Give an example of cross-filtering.
Selecting ‘2023’ in a yearly sales chart filters out all data except for 2023 sales in other charts.
What is the effect of cross-filtering?
Hides unrelated data, providing a more focused view of the selected criteria.
What is the action of cross-highlighting?
Emphasizes related data.
What is the action of cross-filtering?
Filters out unrelated data.
In cross-highlighting, what remains visible?
All data remains visible.
In cross-filtering, what remains visible?
Only related data is visible.
What is the purpose of cross-highlighting compared to cross-filtering?
Cross-highlighting reveals connections and patterns; cross-filtering focuses on specific criteria.
What is a common implementation method for cross-highlighting and cross-filtering?
Using shared axes or filters across visuals.
How do cross-highlighting and cross-filtering enhance user experience?
They enhance user interaction and exploration of data.
What do cross-highlighting and cross-filtering effectively demonstrate?
Relationships between different data points and categories.
In what contexts are cross-highlighting and cross-filtering useful?
Dashboards, reports, and interactive data analysis tools.
What customization options may users have regarding cross-highlighting and cross-filtering?
Options to customize the behavior and appearance.
True or False: Both cross-highlighting and cross-filtering are valuable for interactive data exploration and analysis.
True
Cross-highlighting and cross-filtering help users gain deeper insights by _______.
[visually connecting and filtering data]
