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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.
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.
This template outputs data suitable for inclusion within a record chart table. It will produce a referenced chart name and a position. It can be used as a part of a larger table, or a series of cells can be used to create a chart. This template does not create the surrounding table markup. All field names used must be in lowercase.
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 ...
A radar chart showing the differences in performance metrics of a sedan, sports car, and pickup truck. Another application of radar charts is the control of quality improvement to display the performance metrics various objects including computer programs, [12] computers, phones, vehicles, and more. Computer programmer often use analytics to ...
An example of waterfall charts. Here, there are 3 total columns called Main Column1, Middle Column, and End Value. The accumulation of successive two intermediate columns from the first total column (Main Column1) as the initial value results in the 2nd total column (Middle Column), and the rest accumulation results in the last total column (End Value) as the final value.
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Small multiple map series showing the trends in partisan voting margins in Utah, 1900–2012. Small multiples are a popular technique in cartographic design for multivariate mapping. As with the small multiple chart, each panel uses the same underlying two-dimensional space, but in this case that is a geographic space.