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[[Category:Chart, diagram and graph formatting and function templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Chart, diagram and graph formatting and function templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.
A logarithmic chart allows only positive values to be plotted. A square root scale chart cannot show negative values. x: the x-values as a comma-separated list, for dates and time see remark in xType and yType; y or y1, y2, …: the y-values for one or several data series, respectively. For pie charts y2 denotes the radius of the corresponding ...
Templates that present a particular chart, diagram or graph (or particular charts, diagrams or graphs). For templates that present / format / amend one or more charts / diagrams / graphs supplied to them, see Chart, diagram and graph formatting and function templates .
This template's initial visibility currently defaults to expanded, meaning that it is fully visible. To change this template's initial visibility, the |state= parameter may be used: {{Graph, chart and plot templates | state = collapsed}} will show the template collapsed, i.e. hidden apart from its title bar.
A variety of templates and styles are available to create timelines. The {{Graphical timeline}} template allows representations of extensive timelines. The template offers complex formatting and labeling options to control the output. Typically, each use is made into its own template, and the template is then transcluded into the article.
If the template has a separate documentation page (usually called "Template:template name/doc"), add [[Category:Graph, chart and plot templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Graph, chart and plot templates]]</noinclude>
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A stem-and-leaf display or stem-and-leaf plot is a device for presenting quantitative data in a graphical format, similar to a histogram, to assist in visualizing the shape of a distribution. They evolved from Arthur Bowley 's work in the early 1900s, and are useful tools in exploratory data analysis .