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Scatter plot

The Scatter Plot feature shows the plot of the relation between selected input variable values and corresponding output values. This gives the user a quick graphical reference about the distribution of samples over the domain.

How to use the interface​

First, to use this feature it is necessary to access the Data propagator suite as explained in the section Selection of files. The output value of loaded samples is presented in the form of a scatter plot concerning up to two Input variables, as shown in Figure 1. For the setup of the plot, on the left side, there is a checkbox list of the input variables. Users can select one or two Variables at a time, which will define either the horizontal axis (one input variable selected) or both axes of the plot. The output value of samples is depicted in the form of their color, or additionally on the vertical axis (one input variable selected).

Figure 1: Data propagator - Scatter plot

To export the plot as a .png or .jpg file, the save-file dialogue can be induced by clicking the 💾 icon on the top left of the plot. It is possible to adjust the appearance of the plot using controls from the Plot options section of the panel on the left:

  • Plot title : Displayed above the plot, Output by default.

  • X label : Label of the X axis, name of the first selected input variable by default.

  • Y label : Label of the Y axis, Output by default or the name of the second selected input variable.

  • Z label : Label of the colorbar/function value scale, Output by default.

  • Title size : Size of the title font.

  • Label size : Size of the label font.

  • Show legend : Switching on/off the legend of the plot/the colorbar scale.

  • Legend font size : Size of the legend font.

  • Color style : Selection menu setting the colormap of input variable values.

  • Range X : Double-sided slider allowing to show a slice of the data in detail. Dragging one of the slider's points limits the depicted range of input variable values, one can move with the section along the X-axis by dragging the green bar of the slider (both edge points are highlighted).

  • Range Y : Double-sided slider allowing to show a slice of the data in detail. Dragging one of the slider's points limits the depicted range of output values (or input variable values), one can move with the section along the Y-axis by dragging the green bar of the slider (both edge points are highlighted).

  • Range Z : Double-sided slider allowing to show a slice of the data in detail. Dragging one of the slider's points limits the depicted range of output values, one can move with the section along the range of the input by dragging the green bar of the slider (both edge points are highlighted).

    All ranges in the plot can be also precisely using the ⚙ icon on the right of each slider. This opens a sub-dialogue with entry fields for writing exact values of range limits. These need to be confirmed with the Set button. Setting values outside the domain's boundaries will reset range limits to the default state.

  • Adjust axes : Toggle if the axis and/or colorbar limits of the plot should be only the range adjusted with the slider above (on) or the full range of the input distribution (off).

  • Reduction coefficient : Variable that reduces the total number of samples that are plotted for an easier interpretation of results. If set to 11, the whole set of loaded samples specified will be depicted.

Figure 2: Data propagator - Plot options of the Scatter plot