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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>
Cariogram is a way to illustrate interactions between caries, or tooth cavity, related factors. It demonstrates the caries risk graphically and shows the risk for developing new caries in the future and also chances to avoid new caries in the near future. [1] It helps to understand the multifactorial aspects of dental caries.
vAnnotatonsLabel and hAnnotatonsLabel: display vertical or horizontal annotation labels for lines e.g. hAnnotatonsLabel = label1, label2, label3; Note: In the editor preview the graph extension creates a canvas element with vector graphics. However, when saving the page a PNG raster graphics is generated instead.
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. See an example here, and an example of it being used in an article here.
This index is based on in-field clinical examination of individuals by using a probe, mirror and cotton rolls, and simply counts the number of decayed, missing (due to caries only) and restored teeth. Another version proposed in 1931 [1] counts each affected surface, yielding a decayed, missing, and filled surfaces (DMFS) index. Statistics are ...
Stress analysis / Finite element method (FEM) Kinematics; Computational fluid dynamics (CFD) and Thermal analysis; The navigation box {{Numerical analysis software}} covers software to do numerical analysis; The navigation box {{CAM software}} covers Computer-aided manufacturing (CAM) software; Such software is used for Numerical control (NC ...
The structured analysis of competing hypotheses offers analysts an improvement over the limitations of the original ACH. [9] The SACH maximizes the possible hypotheses by allowing the analyst to split one hypothesis into two complex ones. For example, two tested hypotheses could be that Iraq has WMD or Iraq does not have WMD.
For example, "Distance traveled (m)" is a typical x-axis label and would mean that the distance traveled, in units of meters, is related to the horizontal position of the data within the chart. Within the graph, a grid of lines may appear to aid in the visual alignment of data. The grid can be enhanced by visually emphasizing the lines at ...