![]() ![]() In situations where there are more than two series to be compared, consider a different approach for comparing and displaying multiple series in a chart. If we show Revenue on the primary axis, and Tax on the secondary axis, we can display each series on its own y-axis with its own scale of values. However, when both series are plotted on the same y-axis, we cannot make a useful comparison because the scale of the y-axis is optimized for the largest values in the dataset. ![]() ![]() In this case, the 2008 time period is common to both value sets. The secondary axis is useful when comparing two value sets with two distinct data ranges that share a common category.įor example, suppose you have a chart that calculates Revenue vs. The chart has two axis types: primary and secondary.
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