Visualizing Trends in Dynamic Data
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Compare static visualization to time series.

But although time is important, we don't want to sacrifice an
entire primary dimension (an axis) to devote just to time.

Represent time in the background of the visualization.
Old information becomes ghost or shadow; wear depends on
frequency and recentness.

Example: scatterplot of stock price vs. trading volume with DataWear.