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.

**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)

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.

**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.

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.

**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.