
<p>It’s often possible to use visualization to distort the message of a dataset. A very common one is use of different axis scaling to either exaggerate or hide a pattern of data. For example, let’s say that we are interested in seeing whether rates of violent crime have changed in the US. In Figure <a href="data-visualization.html#fig:crimePlotAxes">4.7</a>, we can see these data plotted in ways that either make it look like crime has remained constant, or that it has plummeted. The same data can tell