How might we represent change over time? One option is to animate between snapshots.
Here, each snapshot shows data for five countries for one year. As the year changes, the data change and the circles animate from their old position to their new position. Because the data are drawn from a uniform random distribution, the circles often traverse the horizontal axis. If the data were autocorrelated -- that is, if the data for one year were similar to the data for the previous year -- then the circles wouldn't move so much.