4.1 Plot types

Data plotting is one of the core functions of SOURCE, present in the Operational Data, FRF Data, and Analyze modules. The plotting functionality is set up to allow the user to review large datasets very efficiently.

A typical plot from the Analyze module is shown. The specific plot settings vary slightly between the different modules but are generally very similar. In this section we present some of the typical settings and commands that are useful for working with plots.

Example plot from Analyze

SOURCE currently offers the following plot types, which can be created by right-clicking on the dataset and choose any of the following options (if available). Alternatively, you can drag a dataset onto the graph canvas in order to create the default plot, which is either a time or spectrum plot depending on the dataset type.

Time plot

This is only available for time data. A context menu is available on right-click, allowing to style the curve or change the curve to become an area type.

Spectrum plot

This type provides all standard spectral plots, including also sum level and nth-octave plots. Options regarding amplitude scaling, spectral density, acoustic weighting etc. can be controlled through the axes options control on the top-left.

In case you have selected a time series or time blocks dataset, the Fourier transform is performed automatically. The settings that determine how the spectra is computed, i.e. the block length, overlap and window type, can be set in the Preferences in the home screen.

Waterfall plot

Waterfall plots are functionally similar to the spectrum plot. They are by default displayed with the columns shown on the vertical axis. By right-clicking, you can change the orientation between horizontal and vertical.

In the right-click menu, you also find an option to change the Z-axis. This determines the value that gets shown on this vertical axis, and indeed allows to select something other than time or index. This then becomes the tracking value and the data will be displayed and scaled according to the values on this axis. The resulting diagram is often referred to as a Campbell diagram.

Whether such tracking values are available depends on the origin of the input dataset. If the spectra are computed by SOURCE and you select the dataset in Analyze, you will find every channel that was marked as “tracking channel” in the channels card.

Strip plot

To show data in strips, choose the strip plot option. You can show multiple channels for one dataset, a channel for multiple datasets or even a combination of them. New datasets can be added by dropping them on an existing strip plot graph.

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