Heat Maps

Heat maps are a graphical representation of data where values are depicted using colors. The colors in the map represent different levels of intensity, with darker colors indicating higher values and lighter colors indicating lower values. Heat maps are commonly used in data science to visualize large datasets and identify patterns or trends. They are particularly useful for identifying areas of high or low concentration, such as population density or customer activity. Heat maps can be created using various software tools and programming languages, such as Python, R, and Tableau. They are often used in fields such as marketing, finance, and healthcare to analyze and interpret complex data sets.
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