The calculator provides the **boxplot**, **dotplot**, and **histogram** functions for plotting some common visualizations based on univariate data. These functions are available from the "Dist" section of the "functions" menu on the keypad, and can also be typed directly into an expression using a keyboard.

#### boxplot(*list*)

Create a box-and-whisker plot from the data contained in *list*. By default, the plot has a vertical offset of one unit, and the box will be one unit high. The offset and box height may be changed via the input fields. You have the option to exclude outliers in your data set.

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#### dotplot(*list, bin width = 1*)

Create a dot plot from the data contained in *list* using *bin* *width* to bin the data. The bin width may optionally be passed in as a second argument and defaults to 1. By default, bins are centered at integer multiples of the bin width. If the "Left" bin alignment option is chosen, the left edges of bins are placed at integer multiples of the bin width. When at least one of the x-values is not equal to a bin center, you may choose between "Exact" or "Binned" x-values. By default, when "Exact" is selected, each dot will be displayed at its exact corresponding x-value. When "Binned" is selected, each dot will be centered within its bin.

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#### histogram(*list, bin width = 1*)

Create a histogram from the data contained in *list* using *bin width* to bin the data. The bin width may optionally be passed in as a second argument and defaults to 1. By default, bins are centered at integer multiples of the bin width. If the "Left" bin alignment option is chosen, the left edges of bins are placed at integer multiples of the bin width. By default, bar heights are set to "Count," so that a bar's height is equal to the raw number of data points in its bin. If the "Relative" option is selected, the bar heights are adjusted proportionally so that their sum is 1. If the "Density" option is selected, the bar heights are adjusted proportionally so that the histogram's total area is 1.

Explore this graph here.