Hierarchical Data Structure
In the context of data science, a hierarchical data structure refers to a way of organizing and representing data in a hierarchical or tree-like format. This structure consists of nodes that are connected by parent-child relationships, where each node can have multiple child nodes but only one parent node. The topmost node in the hierarchy is called the root node, and all other nodes are either intermediate or leaf nodes. Hierarchical data structures are commonly used to represent relationships between entities or to organize data in a nested manner. They provide a natural way to model hierarchical relationships and are particularly useful in applications such as file systems, organizational structures, and taxonomies. Hierarchical data structures can be efficiently traversed using various algorithms, such as depth-first search or breadth-first search, allowing for easy access and manipulation of the data stored within the structure.
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