Practical how-tos on how to make any chart and apply methods to your own data.
Put multiple time series lines on the same plot, and you quickly end up with a mess. Here are practical ways to clean it up.
Show current evolution against expected historical variability and add one or more series that could account for the difference.
Using a spiral might not be the best way to encode data. But here's how to do it anyway. Just in case.
Also known as a bivariate area chart, the plot type focuses on the comparison between two time series.
Make them move to show a shift in distributions over time.
Quickly see what's below and above average through the noise and seasonal trends.
Using R, we look at how your decreased interaction with others can help slow the spread of infectious diseases.
Create better population pyramids that allow for improved comparisons between sexes and populations.
Network graphs are a good way to find structure and relationships within hierarchical data. Here are several ways to do it.