![]() Thus, you have a pivot table you can filter and the scatterplot graph automatically gets updated without any unnecessary zeros. The cool thing about NA() is that it is not included in the graph. Note: we added a horizontal and vertical axis title. Note: also see the subtype Scatter with Smooth Lines. On the Insert tab, in the Charts group, click the Scatter symbol. The above steps would insert a scatter plot as shown below in the worksheet. To create a scatter plot with straight lines, execute the following steps. Click on the ‘Scatter chart’ option in the charts thats show up. In the Chart group, click on the Insert Scatter Chart icon. So, to fix this, change the formulas in column e and f to, for example for B2, make D2 contain =if(B2>0,B2,NA()) Select the columns that have the data (excluding column A) Click the Insert option. The problem? Now you're table will have a bunch of Points at (0,0) which might mess up trendlines, etc. Select the complete table including the HEADER NAMES. Now, once you filter, using a slicer, you'll notice only some of Column E and F are populated, and the are zero (because the filtered pivot table doesn't go that far down. Make sure these reference columns (Columns E and F) drag the formulas down to 100. Let's say I have a pivot table with a 100 rows. ![]() ![]() In the Format Data Labels window that appears on the right of the screen, uncheck the box next to Y Value and check the box next to Value From Cells. Then click Data Labels, then click More Options. This will give you two columns of data, and you can use the instructions from the above post to make it into a scatterplot. Next, click anywhere on the chart until a green plus (+) sign appears in the top right corner. ![]() make the cells in Column E, for example make E2 contain =B2 and then make the cells in Column F, for example make F2 contian =C2). If you want to make the graph able to change with the pivot table filters, you can create a pivot table with the 2 columns of data (Let's say Column A has the label, and B and C have the data), and then reference those two columns in another two columns( ex. ![]()
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