Heatmaps
Heatmaps Heatmaps are data visualization tools that use color gradients to represent the magnitude or density of values in a two-dimensional matrix or table. They are particularly useful for displaying patterns, relationships, and variations in large datasets. Heatmaps provide an intuitive visual representation that allows for quick understanding and analysis of complex information. Here are some key features and applications of heatmaps: Color representation: Heatmaps use colors to represent the values in a matrix or table. Typically, a color gradient is used, ranging from a low-intensity color (e.g., light or cool colors like blue) to a high-intensity color (e.g., dark or warm colors like red). The intensity or hue of the color corresponds to the magnitude or density of the values being represented. Matrix-based data representation: Heatmaps are well-suited for visualizing matrix-like data, where rows and columns represent variables or categories. The intersection of each ro...