What does data visualization primarily help identify?

Data visualization primarily helps identify trends, correlations, and patterns within datasets. This is crucial because visual representation makes it easier to comprehend complex data and discover insights that may not be immediately apparent in raw numbers or texts. By transforming data into graphical formats, such as charts or graphs, stakeholders can quickly discern relationships between variables, monitor changes over time, and highlight anomalies or significant features in the data.

For example, a line graph tracking sales over several months can quickly show whether there is an upward or downward trend, while a scatter plot can reveal correlations between two different variables. This visual aspect enhances analysis efficiency and supports informed decision-making based on data insights. Other options such as investment choices or budget allocations may rely on data visualization but do not encapsulate its primary function, which is to make complex data understandable and actionable through visual means.