Hierarchical models, or multilevel models, are used to represent data that might vary on, you guessed, different levels. Michael Freeman, from the University of Washington Information School, provides an introduction to the method using a scrolling format. The transitions give a good sense of how the model can change, depending on your approach.
Visual explainer for hierarchical modeling
Top Brewery Road Trip, Routed Algorithmically
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.
One Dataset, Visualized 25 Ways
“Let the data speak” they say. But what happens when the data rambles on and on?