The Relationship Timeline Continues to Stretch

Show current evolution against expected historical variability and add one or more series that could account for the difference.

When presented with a static graphic, it can be useful to see specific values after you see overall patterns. This tutorial shows you how to add simple interactions to a choropleth map so you can get specifics for regions.

Process the data into a usable format, which makes the visualization part more straightforward.

These tend to be made ad hoc and are usually pieced together manually, which takes a lot of time. Here’s a way to lay the framework in R, so you don’t have to do all the work yourself.

I simulated a day for employed Americans to see when and where they work.

People get married at various ages, but there are definite trends that vary across demographic groups. What do these trends look like?

There are a lot of great craft breweries in the United States, but there is only so much time. This is the computed best way to get to the top rated breweries and how to maximize the beer tasting experience. Every journey begins with a single sip.

We use some names mostly for boys and some mostly for girls, but then there is a small percentage that, over time, switched from one gender to another. Which names made the biggest switch?