A data analyst needs to visualize the relationship between a company's monthly sales revenue and the number of units sold. Which chart type is best for comparing these two measures, which have very different scales, on a single view?
The correct answer is a dual-axis chart. A dual-axis chart is the ideal choice for comparing two measures with different scales, such as sales in currency and quantity sold in integers, against a common dimension like time. It uses two separate axes, one on each side of the chart, allowing each measure to have its own scale while being displayed on the same visualization.
A combined axis chart is incorrect because it requires all measures to share a single axis and, therefore, a single scale, which would distort the view when measures have vastly different scales. A stacked bar chart is used to show part-to-whole relationships and is not suitable for comparing two distinct measures with different units. A scatter plot shows the relationship between two measures but does not typically plot them against a shared third dimension like a time series.
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