To visualize the distribution and variability of measure values along an axis, a data analyst can use histograms and box plots. Histograms show the frequency distribution of a single numeric variable, while box plots display the spread and central tendency of data, including quartiles and potential outliers.
Great explanation. The box plot shows median, quartiles, min & max, and outliers. It is designed to show the spread and variability of data, with variability meaning how much something changes or differs. If all of your values are similar, the variability is low. So in a box plot, the width of the box is where you can see variability. Wider box, more variability.
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