Interesting video, although the log scale makes the real-time "movement" of data points along the income axis deceiving unless you are really paying attention to the scale.
To be more constructive: we could present any data set with 3 or more variables in this manner. To make up an example... number of fast food establishments would be the x-axis, obesity rates would be the y-axis, each data point would represent a given county in WI, with the size of the point reflecting the counties population. We could then "Move" this data set over time (like from 1950-2010) -- it would probably be more interesting to replace WI counties with Countries.
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ReplyDeleteInteresting video, although the log scale makes the real-time "movement" of data points along the income axis deceiving unless you are really paying attention to the scale.
ReplyDeleteTo be more constructive: we could present any data set with 3 or more variables in this manner. To make up an example... number of fast food establishments would be the x-axis, obesity rates would be the y-axis, each data point would represent a given county in WI, with the size of the point reflecting the counties population. We could then "Move" this data set over time (like from 1950-2010) -- it would probably be more interesting to replace WI counties with Countries.
ReplyDelete