How can a heat map assist in data interpretation?

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A heat map is a powerful visualization tool that assists in data interpretation by using color to represent the values of data points within a matrix. This allows users to quickly identify patterns, correlations, and clusters within the data based on the intensity of colors. By clustering similar data points visually, a heat map makes it easier to discern relationships and trends that might not be readily apparent when looking at raw data or textual summaries.

For instance, in data mining, a heat map can show the frequency of certain events or the strength of relationships in a dataset, helping analysts to make informed decisions based on visual cues. This visual approach is much more effective in conveying complex data relationships compared to merely presenting lists or descriptions of the data.

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