Dendrogram
A dendrogram lays out a hierarchy as a horizontal tree, branching from a single root to leaves at uniform depth. Each split represents a category breakdown — perfect for org charts, taxonomies, file systems, or the result of hierarchical clustering. Branch positions encode struct
Template details
- chart
- dendrogram
- tree
- hierarchy
- d3
When to use this template
A dendrogram excels at revealing the inherent structure and nested relationships within hierarchical data. Analysts use it to understand how categories break down into subcategories, identify the depth of different branches, and trace the full path from a root to any leaf node. It's particularly valuable when the primary analytical goal is to explore the organizational logic or classification scheme of a dataset.
- Data with a clear, single-rooted hierarchical structure.
- Categorical data organized into distinct nested levels.
- Datasets where parent-child relationships are explicitly defined.
- High cardinality in the number of nodes across all levels.
- When the depth of nesting is a key analytical insight.
- Data where the primary focus is on relationships and grouping.