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2.1 Plot Options

Selecting Plot Options will launch a pop-up menu containing the various options available. The pop-up menus differ for histograms, scattergrams and polar plots and so each will be described individually below.

2.1.1 Histogram

There are 3 plot modes available for histograms:-

Binned
conventional filled rectangles representation. Default mode

Line
small filled circles representing the upper limit of each bin are joined with lines.

Level
horizontal lines representing the upper limit of each bin.

There are also several check boxes:-

Conical Correction
only active for angles. See section 8 for details.

Easy pick
selection of histogram bins can be very difficult if the bin contains a small number of contributors relative to the scale of the plot as a whole. Turning on Easy pick will create artificially large bins for these small bins allowing them to be selected more easily. When Easy pick is on the bins that it has made larger will be coloured in yellow to distinguish them from the other histogram bins.

Markers
vertical lines depicting the mean, median, lower quantile (LQ) and upper quantile (UQ).
Percent
the bins are plotted as the % of the distribution rather than the default absolute number of occurrences,
Quantile
allows the user to stipulate the plot quantiles to be used (expressed as a percentage)
Plot options selected for histograms will remain set for the next histogram with the exception of Conical Correction which is reset every time.

2.1.2 Scattergram

There are 4 plot modes for the linear scattergrams :-

Scatter
one-on-one plot. This is currently the default mode. Up to 5000 graphical primitives can be plotted. There is now a choice of scalable symbols to choose from as symbols for the scatterplot.

Colour
a graduated colour scheme is chosen to represent the frequency of data points, with areas of low data density represented by dark colours, and regions of high data density represented by light colours.

Numerical
the data shown on the plot can be represented by numerical characters which range from 1 (for one plot object at that plot position) through 9, and then for higher representations, alphabetically beginning at A (for ten plot objects at the plot position).

Contour
Not yet active - under development.

There is also a check boxes available:-

Linear
plots a regression line through the data represented on the scattergram.

Regression
The regression calculation will only include those data points which are not suppressed. If a regression line is present on the scattergram plot and data points are subsequently suppressed then the regression calculation will automatically be re-performed to take account of the new content of the dataset.

2.1.3 Polar Histogram/Scattergram

The polar histogram/scattergram function can be used to plot one or two parameters, with 4 choices of axes. The plot axes can be defined simply by clicking once on one of the 4 choices available.

The polar plots are also active plots and plot objects can be selected from them as with the linear histograms and scattergrams.

There are 4 check boxes available:-

Scatterplot
toggles the scatterplot on/off inside the centre circle of the polar plot. The scatterplot symbols can be altered (section 2.4)

Histogram
toggles the histogram distribution on/off around the outside of the polar plot.

If the histogram is disabled, the scatterplot is enlarged to fill the available space. If both histogram and scattergram are disabled, then only the grid/axes are plotted.

Quantile
allows the user to stipulate the plot quantiles to be used (expressed as a percentage) for the histogram
Easy pick
selection of histogram bins can be very difficult if the bin contains a small number of contributors relative to the scale of the plot as a whole. Turning on Easy pick will create artificially large bins for these small bins allowing them to be selected more easily. When Easy pick is on the bins that it has made larger will be coloured in yellow to distinguish them from the other histogram bins.

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Plot part 3 .