Scatter and bubble charts
To get started creating a chart, see Creating quick charts or Creating and editing charts in Layout mode.
To choose a chart type, define the axes, and include a legend:
1.
If you are charting delimited data stored in a single record or data from related records, you must specify data source settings. See Specifying the data source for a chart.
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Type a title or click Specify button, choose Specify Field Name or Specify Calculation, complete the dialog box, and click OK.
Click Specify button to specify a data series for each axis. For example, you might plot product development costs on the x-axis and product revenue on the y-axis.
Note  The x-axis must be number field type. For example, the profit gained.
Radius Data
(Bubble charts only)
Click Specify button to specify a data series for the third data series you want to include in this comparison. For example, radius data might show the profit margin between cost and revenue for each product. This chart would reveal which product is most profitable rather than which product generates the most revenue.
Symbol
(Scatter charts only)
Choose a symbol to mark each data point in the chart, or choose None to hide symbols. Symbol color is determined by the color scheme setting in the Styles area of the Chart inspector. See Changing the look of a chart.
4.
If you’re creating a quick chart and it contains summary data, you can click the Summary menu in the Chart inspector and select a different summary type. See Summary types for charts.
5.
To specify additional data series for the y-axis, click Add Y Series, then repeat step 3 to complete the Series Name and Data settings.
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6.
Select Show Legend to display a legend in the chart. To change labels in the legend, edit the Series Name and click outside the text box.
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Click Print or Save as Layout (quick charts) or Done (Layout mode charts) to finish the chart. See Creating quick charts or Creating and editing charts in Layout mode.
Notes
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The radius display in a bubble chart shows the relative magnitude of radius data points rather than their precise values. Therefore, if radius data values are very small (for example, 0.2, 0.5.and 0.7), bubbles display large enough that you can distinguish the difference and relationship between them.