Matrix

The Matrix visualization is a multi dimensional visualizations, where nodes of 2 categories can be visualized as complementary one with the other

Matrix Data Structure

To represent a Matrix, you can use the following NodeLinkData interface:

type Node = with_optional_properties & {
  name: string;
  category: string;
  labels?: Label[];
};

type Link = with_optional_properties & {
  source: string;
  target: string;
  value: number;
};

type NodeLinkData = {
  nodes: Node[];
  links: Link[];
};

Key Attributes

• name: A unique identifier for the node.
• category: Categorizes the node into a specific group or cluster.
• labels: Are an array of name values that represent specific attributes of the node.
• source: Identifies the source node of the link.
• target: Identifies the target node of the link.
• value: Represents a numerical value associated with the link that suggests how strongly connected the nodes are.

Pros and Cons

Pros

• Large Data: Very large amount of data can be displayed on a single window.

• Filtering: Filtering on the rows and on the columns.

Cons

• Scroll needed: Too many data could need a scroll in order to see them all.

Matrix Example