Hierarchical edge bundling is a representation used to overcome the problem of clustering when we visualize high categories of data. In this, every hierarchical category is adjacent to each other in a circle, and then thread-like structures work as connections. Each node has a connection to its associated category, which makes it look less hefty.
Why do you need it?
The main reason for using Hierarchical edge bundling is it looks attractive due to less clustering of data. Additionally, this visualization saves-time and is effective in understanding the data.
What kind of data you can visualize with it?
The Hierarchical edge bundling is best suited to hierarchical-data. Assume you have data of employees of various organizations, then the CEO’s of all organizations will be the root node that connects to their respective manager’s node branches adjacent to them, and further, the employee under each manager connects.