hierarchical data

USAGE SUMMARY

The phrase "hierarchical data" is correct and usable in written English.
It can be used when referring to data that is organized in a hierarchy, often seen in databases, file systems, or organizational structures. Example: "The software is designed to manage hierarchical data, allowing users to easily navigate through different levels of information."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

"Representative Objects: Concise Representations of Semistructured, Hierarchical Data".

Stanford University

Introduced in 2005, the Voronoi treemap algorithm is an information visualization technique for displaying hierarchical data.

Harvard University

Treemaps are space-filling visualizations that make efficient use of limited display space to depict large amounts of hierarchical data.

Stanford University

The algorithm uses a new hierarchical data association method that keeps multiple associations per particle.

Robotics and Autonomous Systems

All of these BRDF data are publicly available and accessible in hierarchical data format (http car.gsfc.nasa.gov/).

Remote Sensing of Environment

Hierarchical data acquisition methodology and performance macro-observation are according to the IEC 61724 standard.

Applied Computing and Informatics

In this paper, we enhance this scheme by a hierarchical data aggregation technique (HDA).

Computer Communications

The data were analyzed with a method respecting the hierarchical data structure.

Journal of Clinical Epidemiology

This study design results in a three level hierarchical data structure.

Computational Statistics & Data Analysis

To account for the hierarchical data structure, hierarchical Bayesian models were developed for total crashes.

Accident Analysis & Prevention

This paper presents a statistical framework for assessing wireless systems performance using hierarchical data mining techniques.

Advances in Engineering Software

Expert writing Tips

Best practice

Ensure that the context clearly establishes the nature of the hierarchy. Specifying the levels and relationships within the data structure helps prevent ambiguity.

Common error

Avoid using "hierarchical data" when the data is actually flat or lacks a clear parent-child relationship. Mislabeling data can lead to incorrect analyses and interpretations.

Linguistic Context

The phrase "hierarchical data" primarily functions as a noun phrase, often used as an adjective describing data organization. It indicates that data is structured in a tree-like format with levels and relationships, as demonstrated by Ludwig's examples.

Expression frequency: Very common

Frequent in

Science

65%

Academia

25%

News & Media

10%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "hierarchical data" is a noun phrase describing data organized in a multi-level structure, commonly found in scientific and academic contexts. According to Ludwig, it is grammatically correct and frequently used. Effective communication using this phrase involves understanding its formal register and the visual or analytical techniques associated with its structure. Alternative expressions like "tree-structured data" or "nested data structures" may offer similar clarity depending on the context. Avoiding its use for non-hierarchical data is crucial for maintaining accuracy in technical discussions.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

tree-structured data

Emphasizes the tree-like structure inherent in hierarchical arrangements.

nested data structures

Highlights the nesting characteristic of hierarchical organization.

multi-level data

Focuses on the multiple levels present in the data arrangement.

structured data hierarchy

Reverses the phrase order and emphasizes structure and hierarchy.

data with parent-child relationships

Explains the relationships between data elements in a hierarchy.

layered data organization

Uses the term "layered" to describe the levels of the data.

ranked data arrangement

Implies a ranking or ordering within the hierarchical structure.

taxonomic data organization

Relates the structure to taxonomic classification systems.

data with a hierarchical model

Specifies the use of a hierarchical model for data representation.

categorized data structure

Focuses on the categorization aspect within the hierarchy.

FAQs

How can I effectively visualize "hierarchical data"?

Techniques like treemaps and sunburst diagrams are effective for visualizing "hierarchical data", allowing users to see nested structures and relative sizes.

What are some common examples of "hierarchical data" in real-world applications?

"Hierarchical data" is commonly found in file systems, organizational charts, and biological taxonomies, where data is naturally structured in levels and categories.

What are the advantages of using a "hierarchical data" model?

A "hierarchical data" model allows for efficient data retrieval and representation of relationships, making it easier to manage and understand complex datasets. It also mirrors many naturally occurring structures, simplifying modeling efforts.

Are there alternatives to using a "hierarchical data" model?

Yes, alternatives include relational databases, graph databases, and NoSQL databases. The choice depends on the specific requirements of the application and the nature of the data relationships. You might consider "relational data" when the data structure is simpler and doesn't inherently require levels of hierarchy.