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Data visualization significantly enhances the interpretability of complex data by transforming raw data into graphical representations that are easier to understand. This helps users identify patterns, trends, and insights that may be hidden in large datasets when presented in a raw, textual format. By using visual elements such as charts, graphs, and maps, users can more readily grasp relationships and make quicker, more informed decisions based on the data.

This is crucial in environments where data-driven decision-making is essential, as it enables both technical and non-technical users to engage with data meaningfully. The use of color, size, and shapes in visualizations can draw attention to key aspects and enable users to navigate data intuitively, improving overall comprehension and facilitating better communication of information.