R

Using R, we look at how your decreased interaction with others can help slow the spread of infectious diseases.

Network graphs are a good way to find structure and relationships within hierarchical data. Here are several ways to do it.

Layout multiple charts in a single view. Then adjust the scales appropriately for maximum comparability and a unified graphic.

Fill areas with varying line density to give more or less visual attention. With geographic maps, the technique is especially useful to adjust for population density.

Visualize rankings over time instead of absolute values to focus on order instead of the magnitude of change.

With cyclical data, a circular format might be useful. Combine that with a smooth density to reduce noise, and you got yourself a plot.

By shifting the baseline to a reference point, you can focus a line chart on relative change, which can improve the visibility of smaller categories.

Here are all the playoff threes he’s made in his playoff career, plus some R code.

Visualize rankings over time instead of absolute values to focus on order instead of the magnitude of change.

For when you want to show the occurrence of events over time.

Also known as a Marimekko diagram, the mosaic plot lets you compare multiple qualitative variables at once. They can be useful, sometimes.

Using color as the visual encoding, show changes over time in two dimensions.