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๐Ÿ“ฆ Dispersion Lab

How spread out is the data?
Read it with a box plot & scatter plot

Two graphs that let you see how a bunch of numbers are spread out, at a glance. A box plot shows how spread out one set of data is; a scatter plot shows the relationship between two sets of data.

When there's a lot of data, it's hard to spot patterns just by looking at a table of raw numbers. That's why there are several graphs that summarize data visually โ€” and box plots and scatter plots are especially useful for seeing how spread out (dispersed) data is.

A box plot lines data up in order and summarizes it with five numbers: the minimum, first quartile, median, third quartile, and maximum. The wider the box, the more spread out the data is. A scatter plot plots two variables on the horizontal and vertical axes as points, showing at a glance whether there's a relationship between the two.

These get used all the time in real-world data analysis โ€” think of a box plot for a distribution of test scores, or a scatter plot for the relationship between height and weight. Switch between the tabs to explore each graph.

A box plot lines data up in order, then summarizes it with five numbers: the minimum, first quartile (Q1), median, third quartile (Q3), and maximum. The wider the box, the more spread out the data is.
A scatter plot plots two variables as points on the x-axis and y-axis. If the points trend up and to the right, that's a positive correlation; down and to the right is a negative correlation; and no particular direction means no correlation.
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