![]() In other words, you can see where the middle is in your data distribution, how close the data lie around this middle and where possible outliers are to be found. ![]() As such, the shape of a histogram is its most obvious and informative characteristic: it allows you to easily see where a relatively large amount of the data is situated and where there is very little data to be found (Verzani 2004). Want to learn more? Discover the R tutorials at DataCamp.Ī histogram is a visual representation of the distribution of a dataset. Three options will be explored: basic R commands, ggplot2 and ggvis. These posts are aimed at beginning and intermediate R users who need an accessible and easy-to-understand resource. Over the next week we will cover the basics of how to create your own histograms in R.
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