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  2. Template:Graph:Chart - Wikipedia

    en.wikipedia.org/wiki/Template:Graph:Chart

    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

  3. Category:Graph, chart and plot templates - Wikipedia

    en.wikipedia.org/wiki/Category:Graph,_chart_and...

    [[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.

  4. Shewhart individuals control chart - Wikipedia

    en.wikipedia.org/wiki/Shewhart_individuals...

    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 ...

  5. Scatter plot - Wikipedia

    en.wikipedia.org/wiki/Scatter_plot

    A scatter plot, also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram, [2] is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. If the points are coded (color/shape/size), one additional variable can be displayed.

  6. Run chart - Wikipedia

    en.wikipedia.org/wiki/Run_chart

    Run sequence plots [1] are an easy way to graphically summarize a univariate data set. A common assumption of univariate data sets is that they behave like: [2] random drawings; from a fixed distribution; with a common location; and; with a common scale. With run sequence plots, shifts in location and scale are typically quite evident.

  7. Simulation decomposition - Wikipedia

    en.wikipedia.org/wiki/Simulation_decomposition

    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]

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