You create a bar chart in Power BI showing sales by region. You want the chart title to be clear and accessible for screen readers. Which option correctly sets the title for best accessibility?
Think about how screen readers recognize chart titles.
Enabling the visual title with descriptive text ensures screen readers can identify the chart's purpose. Text boxes are not linked to visuals and won't be read as titles.
Why is a legend important in a Power BI chart that uses multiple colors to represent categories?
Think about how users know what each color means.
Legends provide a key to interpret colors or symbols in charts, making data easier to understand.
You want a dynamic title in Power BI that shows 'Sales in Year: <selected year>'. Which DAX measure produces the correct title when a single year is selected from a slicer?
DynamicTitle = VAR SelectedYear = SELECTEDVALUE('Calendar'[Year], "Multiple or None") RETURN "Sales in Year: " & SelectedYear
Consider which function returns a single value or a default text.
SELECTEDVALUE returns the selected year if only one is selected; otherwise, it returns the default text. VALUES returns a table, causing an error in concatenation.
You created a stacked column chart with categories and subcategories. The legend only shows the main categories, not subcategories. What is the most likely cause?
Check which field is assigned to the legend area.
The legend shows values from the field assigned to it. If only main categories are assigned, subcategories won't appear in the legend.
You are designing a sales dashboard for non-technical users. The dashboard includes multiple charts with different measures and categories. Which combination of title, labels, and legend practices ensures the dashboard is easy to understand?
Think about clarity and ease of understanding for all users.
Clear titles, axis labels with units, and well-designed legends with contrasting colors help users quickly understand the data without confusion.