Primitives and attributes are a concept of graphics in visualization in computer science, define both.

Visualization, in the context of computer science, data analysis, and information presentation, refers to the graphical representation of data or concepts. It involves the use of visual elements, such as charts, graphs, diagrams, images, and interactive interfaces, to convey information, patterns, relationships, and insights in a more accessible and comprehensible manner. Visualization aims to make complex data or abstract concepts visually understandable, allowing users to interpret, analyze, and gain meaningful insights from the presented information.

Key aspects of data visualization include:

• Representation: Data or information is transformed into visual elements, such as bars, lines, pie charts, heatmaps, or 3D models, that represent the underlying data or concepts.

• Interactivity: Interactive elements often allow users to explore and manipulate the visual representation, enabling dynamic exploration and deeper analysis of the data.

• Simplification: Visualization simplifies complex data or abstract concepts, making them more digestible and understandable by reducing cognitive load.

• Insight Generation: Visualization helps reveal patterns, trends, anomalies, and relationships within data, aiding in decision-making and problem-solving.

Effective data visualization adheres to principles of clarity, accuracy, and relevance. It helps users quickly grasp the meaning and significance of data or concepts. Visualization tools and techniques continue to evolve, enabling more sophisticated and interactive representations of information, and they play a crucial role in data-driven decision-making, communication, and knowledge sharing in various domains.