Imagine working with a dataset where each entity is assigned to one of N categories that form a NxN grid. Over time, these entities move between positions – think of it like a game of chess, but instead of pieces, you have entities jumping from one category to another. The question is, how do you visualize or analyze these movements across the categorical grid over time?
It’s a fascinating problem that requires creative solutions. One approach could be to use a heatmap to represent the frequency of movements between categories. You could also use a Sankey diagram to visualize the flow of entities between categories. Another approach might involve clustering trajectory types to identify patterns in the movements.
The possibilities are endless, and it’s exciting to think about the different ways to tackle this problem. If you’ve worked on a similar project, I’d love to hear about your approach and the insights you gained from it.
What are some other ways to visualize or analyze movements on a categorical grid over time? Share your thoughts in the comments!