Abstract
We design income statement displays containing both annual data and sparklines of weekly data, and then test the ability of 138 accounting student subjects to detect experimental effects of only minimally material size when performing three tasks: anomaly detection; pattern recognition; and relating changes in one income statement item to another. Despite sparklines’ small size and low aspect ratios, subjects performed all three tasks successfully the majority of the time. Our results support the feasibility of using sparklines as a method of displaying large amounts of interim data in a compact form.
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