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Histograms are useful for data visualization due to several key features. They allow for the visualization of the distribution of data, which can be particularly useful when dealing with large data sets. They work by separating data into groupings called bins, which can be customized to fit the specific needs of the data being analyzed. This allows for a high level of flexibility and adaptability. Additionally, histograms can be used to compare different data sets, as they can display multiple sets of data on the same chart.
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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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