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Scatterplots

Scatterplots help you explore the relationship between two numeric values. Each point represents a single record, plotted by its X and Y values.

They're perfect for spotting correlations, clusters, and outliers in your data.

I use scatterplots constantly for two things: finding trends between variables, and catching outliers that might indicate bad data.

Correlations

When points trend upward from left to right, you have a positive correlation – as one value increases, so does the other. In our website sessions data, we'd expect longer sessions to have more pages visited.

When points trend downward, you have a negative correlation. And when points are scattered randomly, there's no correlation at all.

Trend Lines

Adding a trend line makes correlations easier to see. Power BI can calculate and display this line automatically through the Analytics pane.

Look for points that fall far from the trend line – these outliers might be data entry errors or genuinely unusual records worth investigating.

Assignment

Create a new page and name it Analysis.
Insert a Scatter Chart in the left half of the page.
Configure the chart to compare session_duration_minutes (X-axis) against session_pages_visited (Y-axis).
Ensure both axes are set to "Don't summarize" by clicking the down arrow on the right of each field.
Add a trend line: click the Analytics tab → Trend line → On
Change the trend line color to Theme Color 2, and make it solid so it stands out.
Format the title: General → Title → Text → "Duration vs Pages Visited"

Save the project and, from the course directory, submit the CLI tests.