Apart from histograms, other types of charts that can be used to visualize the distribution of numbers, unique values, and date ranges include bar charts, pie charts, line graphs, scatter plots, box plots, and heat maps. Each of these charts serves a specific purpose and can be used depending on the nature of the data and the information that needs to be conveyed.

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Ultimate Charts (Part 3)

Need to visualize your data? Use this new Ultimate Charts resource for premade and fully customizable Marimekko charts, bubble charts, Pareto analysis...

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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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Key considerations when deciding how to slice data in a histogram include understanding the nature of the data, the distribution of the data, and the specific information you want to extract from the data. It's also important to consider the size and range of the bins, as these can significantly impact the visualization and interpretation of the data.

Apart from the standard method of slicing data in histograms by separating them into bins, you can also customize the inputs to slice data based on specific criteria. For instance, in a warehouse setting, you could organize parts by their respective sizes. Additionally, you can use filters to decide how to slice the data.

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