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Histograms are a powerful tools for understanding the distribution of continuous data. Adrian explains their use and interpretation here.

While pie and bar charts are useful for visualising data where only a few values are possible (such as hair colours or product names), we need a different tool for continuous data where many values are possible.

This is where histograms are useful. In this video, Adrian shows their use with the example of phone bills, but I’m sure you can think of other examples as well.

Share in the comments below some other examples of histograms you can think of or are familiar with.

Next, we’ll look at two final graphical techniques for inspecting two variables and the relationships between them. These are line plots and scatter plots…

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Data Analytics for Decision Making: An Introduction to Using Excel

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