What is the primary purpose of data visualization?

The primary purpose of data visualization is to graphically represent data for better understanding. This means transforming complex datasets into visual formats like charts, graphs, and maps, which can make it easier for individuals to comprehend patterns, trends, and insights that may not be immediately obvious from raw data. By using visual elements, data visualization allows users to quickly grasp information at a glance, facilitating data interpretation and decision-making processes.

When data is displayed visually, it leverages the human brain's ability to process visuals more efficiently than text or numbers. This aspect is crucial in areas like business intelligence, research, and any field where data-driven decisions are needed. Effective data visualization helps to highlight key information, making it accessible and actionable for various audiences, from data analysts to executives.

In comparison, creating complex models from raw data, performing statistical analysis, and automating data collection processes are important aspects of data handling and analysis but are not the primary aim of data visualization itself. Each of those activities supports data analysis but does not specifically focus on the visual representation aspect, which is essential for effective communication of information derived from data.