Use to visually represent the proportion for each category in the data. The pie is divided into slices, with each slice representing a category of data. By comparing and contrasting the size of the slices, you can evaluate the relative magnitude of each category.
For example, engineers collect data from service stations to find the most common causes of air loss in tires. They display a pie chart with six slices, each slice showing a common cause of air loss and the proportion of the data it represents.
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The largest slices, Puncture and Valve Stem Leak, represent the most common causes of air loss (28.8% and 27.6%, respectively). The smallest slice, Leak from Seating, represents the least common cause of air loss (7.0%). |
You can change the display characteristics of the pie chart to emphasize important features in the data. For example, you can label the slices by frequency or category, or separate selected slices for greater effect.
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To emphasize a category of data, you can "explode" its corresponding slice. |
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Puncture |
