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
Causes of Death
There are many ways to die. Cancer. Infection. Mental. External. This is how different groups of people died over the past 10 years, visualized by age.
One Dataset, Visualized 25 Ways
“Let the data speak” they say. But what happens when the data rambles on and on?