You have a bar chart showing sales by region. You want to display the sales value labels only for bars where sales exceed 100,000. Which Tableau feature allows you to do this?
Think about how Tableau lets you control label visibility based on data values.
Option C is correct because Tableau allows conditional label display using calculated fields on the Label shelf. This way, labels appear only when the condition is met.
In Power BI, you want to create a measure that returns the sales amount only if sales are above 5000, otherwise it returns blank. What is the correct DAX expression?
Remember to aggregate sales before comparing and use BLANK() to hide labels.
Option A correctly sums the sales and returns the sum only if it is greater than 5000; otherwise, it returns blank, which hides the label.
When you have a scatter plot with hundreds of points, what is the best practice for displaying labels to keep the visualization clear and readable?
Think about user experience and avoiding clutter.
Option A is best because showing labels only for selected or highlighted points reduces clutter and improves readability.
You created a calculated field to show labels only for top 5 products by sales, but no labels appear on the chart. What is the most likely cause?
Consider the order of operations in Tableau.
Option D is correct because if the filter is applied after the label calculation, labels may be filtered out before display.
You are designing a sales dashboard in Power BI. The requirement is to show data labels on a clustered column chart only when the user selects a specific region from a slicer. How would you implement this dynamic label display?
Think about how measures can respond to slicer selections.
Option B is correct because a measure can dynamically control label visibility based on slicer selection, showing labels only for the selected region.