Histograms are beneficial for visualizing data because they provide a clear and concise way to represent data distribution. They work by separating data into groupings called bins, which can be customized according to your needs. This makes it easier to understand and interpret the data, especially when dealing with large datasets. Histograms can show the count of each category, the distribution of categories, or the overall distribution of all data points. For example, in a warehouse setting, histograms can be used to organize related parts by their respective sizes.
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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.
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