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Objective : To obtain a global view on the combination of several indicators and entities. Ideal for cross-cutting data.

Application : A Heatmap visualizes the data through color variations. The graph is useful for cross-referencing a variety of data, placing variables in rows and columns, and coloring cells in the table.

Heat models are good for showing variation between multiple variables. A heatmap reveals all the models, showing if variables are similar to each other and detecting if correlations exist between them.

Here is an example in a financial context.

Clic here for more informations on chart types.