Histograms can be used in various fields besides science. For instance, in business, histograms can be used to analyze data related to sales, customer behavior, or product performance. In finance, they can be used to understand the distribution of various financial metrics. In social sciences, they can be used to analyze data related to population demographics, survey responses, etc. In essence, histograms can be used in any field where there is a need to understand the distribution of a set of data.
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Say you're a scientist, and you have a list of data that involves a specific gender and height. The first three histograms visualize the count of each height by gender, the distribution of the two genders, or the distribution of all the heights. But remember: these inputs can be customized to anything you want; say you run a warehouse, and you want to organize related parts by their respective sizes; delete the inputs in blue, and replace them with your specifications. Histograms work by separating data into groupings called bins. Here, we provide a simple filter to decide how to slice the data.