What is the main purpose of data visualization?

The main purpose of data visualization is to represent data in a format that is easier to understand. Visualization techniques, such as charts, graphs, and maps, enable individuals to see patterns, trends, and insights within the data that may not be immediately apparent in raw datasets. This visual representation simplifies complex data and makes it more accessible for analysis and decision-making. By translating numbers and statistics into visual formats, stakeholders can quickly grasp key information, facilitating better communication and understanding among diverse audiences.

Other options suggest functions that are not the primary intent of data visualization. Performing complex mathematical calculations is typically the domain of analytical tools and software. Generating raw data reports focuses more on data collection and organization rather than interpretation. Replacing data analysis methods misrepresents the role of visualization, which complements analysis by enhancing comprehension rather than substituting for analytical techniques. Overall, effective data visualization is crucial for conveying information clearly and successfully driving insights from data.