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Histograms are widely used in various fields for data analysis. In business, they can be used to analyze the distribution of sales, customer age groups, or product quality. In healthcare, histograms can help understand the distribution of patient ages, disease incidence, or treatment outcomes. In education, they can be used to analyze student scores, attendance, or demographic information. In environmental science, they can help understand the distribution of species, pollution levels, or climate 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.
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We've created a new collection of more advanced and visually appealing spreadsheet charts to save hours of time. Included in this collection are: bar chart variations, sales funnel variations, pie chart variations, world map, step change charts, variance charts, scatter chart, and radar charts, all easily editable and conveniently linked to data input tables.
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