12/11/2022 0 Comments Make a scatter plot![]() ![]() If you’re seeing more than one color per quadrant you may need to adjust the table calculation settings. ![]() Each quadrant on the plot should show just one color. Test the calculations by adding the new quadrant calc onto the Color property. Next, we compare the values of each mark to the overall average to assign marks to quadrants. First we use window average to find the overall average of the x-axis measure. Then we’ll create three calculations: The average of the x-axis, the average of the y-axis, and the quadrant assignment. Navigate to the Analytics pane and add vertical and horizontal average lines to the plot. Next, we’ll create quadrants for the scatter plot. Here I’m using Quantity on Columns, Profit on Rows, and Product ID and Product Name on the Detail property of the Marks card. Add relevant dimensions to the details shelf to add marks to the plot. Add measures to the Columns and Rows shelves to set up the axes. The first step to building this chart is setting up a scatter plot. We’ll work through both options in the tutorial. The average lines can recalculate to subdivide the selected quadrant, or remain stable and continue to reflect all marks. In this demo we will build a scatter plot with average lines, and when the user clicks on a mark the view zooms to just that quadrant. Zooming enhances this by letting us focus on just one quadrant at a time. To take a scatter plot to the next level, consider adding zoomable quadrants.īy segmenting marks above or below average we can compare individual marks to overall averages, and see patterns within each group. Our brains naturally find patterns in the scatter, and adding attributes like size, shape, and color can help us draw deeper insights from the chart. Most chart types can’t accommodate hundreds of marks, but a scatter plot can fit them with ease. Scatter plots are a great way to see a lot of individual data points and consider the bigger picture at the same time. ![]()
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