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The primary goal of using data visualization when facilitating learning is to help learners gain insights from complex data. Data visualization effectively transforms large amounts of information into graphical formats, making it easier for learners to identify patterns, trends, and correlations that may not be immediately apparent in raw data. By presenting information visually, educators can enhance understanding and retention, allowing learners to grasp complex concepts more readily.

The use of visual aids supports cognitive processes by simplifying interpretation and enabling learners to engage with the material actively. This method is particularly beneficial in disciplines that involve large datasets or intricate information, as it aids in translating complex numbers and statistics into a format that is accessible and easier to comprehend.

The other options do not align with the core objectives of data visualization. For instance, making data more complex contradicts the fundamental purpose of visualization, which is simplification. Ensuring that learners memorize data shifts the focus to rote learning rather than understanding or insight generation. Lastly, while data visualization can complement traditional teaching methods, it does not aim to replace them but rather to enhance the learning experience by incorporating a visual component that aids comprehension.