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A Poincaré plot, named after Henri Poincaré, is a graphical representation used to visualize the relationship between consecutive data points in time series to detect patterns and irregularities in the time series, revealing information about the stability of dynamical systems, providing insights into periodic orbits, chaotic motions, and ...
Setting to 0 with type=line creates a scatter plot. linewidths: different line widths may be defined for each series of data with csv, if set to 0 with "showSymbols" results with points graph, eg.: linewidths=1, 0, 5, 0.2
[[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> to the end of the template code, making sure it starts on the same line as the code's last character.
The resulting plots are analyzed as for other control charts, using the rules that are deemed appropriate for the process and the desired level of control. At the least, any points above either upper control limits or below the lower control limit are marked and considered a signal of changes in the underlying process that are worth further ...
|square= Makes the chart/plot a square (default no) |width= The width of the chart |picture= The picture for the background of the chart, excluding File: or Image: (default Blank.png) |size= The size of the dots (default 8px) |bottom= Text tho show on the bottom of the template |top= The header to show on top of the graph
This visual analytics approach exposes the underlying nature of the model behavior, including its nonlinear and multivariate interaction effects. [2] SimDec can be used in any range of science, engineering, and social domains. Existing applications include business [3] and environmental issues. [4] [5]