Recall & Review
beginner
What is a scatter plot used for in Power BI?
A scatter plot shows the relationship between two numeric variables by plotting points on an X and Y axis. It helps find patterns or correlations.
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beginner
Which fields do you need to create a basic scatter plot in Power BI?
You need at least two numeric fields: one for the X axis and one for the Y axis. Optionally, you can add a field for size or color to add more detail.
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intermediate
How can you add more information to a scatter plot in Power BI?
You can add a 'Details' field to show categories, a 'Size' field to change point size by value, and a 'Legend' field to color points by category.
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beginner
What does it mean if points in a scatter plot form a clear upward line?
It means there is a positive correlation: as one variable increases, the other tends to increase too.
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intermediate
Why should you avoid using too many points in a scatter plot?
Too many points can make the plot cluttered and hard to read. It’s better to filter or aggregate data for clarity.
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What type of data is best for the X and Y axes in a scatter plot?
✗ Incorrect
Scatter plots require numeric data on both axes to show relationships between values.
In Power BI, which field can you add to change the size of points in a scatter plot?
✗ Incorrect
The 'Size' field controls how big each point appears based on a numeric value.
What does a scatter plot help you identify?
✗ Incorrect
Scatter plots visually show trends and correlations between two numeric variables.
Which Power BI feature helps you see categories by color in a scatter plot?
✗ Incorrect
The 'Legend' field colors points by category to differentiate groups.
What should you do if your scatter plot looks too crowded?
✗ Incorrect
Filtering or aggregating data reduces clutter and makes the plot easier to understand.
Explain how to create a scatter plot in Power BI and what each field option does.
Think about the roles of axes and how size and color add meaning.
You got /5 concepts.
Describe what patterns you might see in a scatter plot and what they mean for your data.
Consider how points line up or group together.
You got /4 concepts.