noun a diagram representing a system of connections or interrelations among two or more things by a number of distinctive dots, lines, bars, etc.
In mathematics, a graph is a collection of vertices (nodes) connected by edges (lines or arcs). It is used to represent relationships between objects.
In computer science, a graph is a data structure that consists of nodes (vertices) and edges connecting them. It is commonly used to represent networks and relationships between data points.
In biology, a graph is used to represent genetic relationships, evolutionary pathways, and complex biological systems.
In data science, a graph is a visual representation of data points and their relationships. It is used for data analysis, visualization, and modeling complex systems.
In social sciences, a graph is used to visualize and analyze social networks, connections between individuals, and patterns of relationships.
In business analytics, a graph is used to analyze customer relationships, market trends, and network structures within organizations.
In transportation engineering, a graph is used to model transportation networks, traffic flow, and optimal routes for vehicles.
In the field of writing, 'graph' may refer to a graphical representation of data or information in the form of charts, diagrams, or other visual aids.
Psychologists may use 'graph' to analyze and interpret data collected during research studies or clinical assessments, often using graphs to illustrate trends or patterns in the data.
Data analysts frequently use 'graph' to create visual representations of data sets, such as bar graphs, line graphs, and pie charts, to help communicate findings and insights to stakeholders.
Mathematicians may use 'graph' to refer to a mathematical structure consisting of vertices and edges, which are used to model relationships between objects or entities in various fields of study.
In computer science, 'graph' can refer to a data structure that represents connections or relationships between nodes, often used in algorithms for tasks such as network analysis, pathfinding, and data visualization.