The Settings
section provides a number of general and chartspecific settings.
General
 Samples
 Specify the number of samples to use when plotting a chart.
 XScale

 Linear
 Use a linear scale for the Xaxis.
 Log
 Use a logarithmic scale for the Xaxis.
 YScale

 Linear
 Use a linear scale for the Yaxis.
 Log
 Use a logarithmic scale for the Yaxis.
 XRange (min)
 Specify the minimum value to be plotted along the Xaxis.
 XRange (max)
 Specify the maximum value to be plotted along the Xaxis.
 YRange (min)
 Specify the minimum value to be plotted along the Yaxis.
 YRange (max)
 Specify the maximum value to be plotted along the Yaxis.
Line Chart
 Layout

 Default
 No fill under the plotted line.
 Filled
 Fill the area below the plotted line with color.
Scatter
Chart
 Layout

 Default
 Scatter points appear as separate entities on the chart.
 Filled
 A line extends from each scatter point to the Xaxis.
Pie Chart
 Layout

 Default
 Pie slices extend into the center of the chart.
 Donut
 The center of the chart is empty, providing the data in the shape of a
ring.
Bar Chart
 Bar orientation

 Default
 Bars are displayed vertically in the chart.
 Horizontal
 Bars are displayed horizontally in the chart.
 Layout

 Default
 Each grouping in a particular data set is displayed as a separate bar in the
chart.
 Stacked
 All of the related groupings of data in a particular data set are stacked on top
of one another contiguously in a single bar.
 Stepped
 All of the related groupings of data in a particular data set are displayed next
to one another in an ascending series of separate bars.
 Percentile
 All of the related groupings of data in a particular data set are stacked on top
of one another contiguously in a single bar; the height of each grouping in the
bar corresponds to its value in relation to the other groupings in the same data
set.
Histogram (1D)
Chart
 Layout

 Default

 Stacked

 Bins
 You can select a particular binning method or choose a specific bin size.
The
following are the available binning methods:
 Default

 Sturges
 Compute the number of bins based on the length of data
 Scott
 Asymptotically minimize the mean square error
 FreedmanDiaconis
 Twice the interquartile range divided by the cube root of sample size
 Knuth
 Balance likelihood and prior probability of a piecewise uniform model
 Wand
 Onelevel recursive approximate Wand binning
The following are the available bin sizes:
 10

 20

 50

 100

 Heights

 Count
 The number of values lying in each bin
 Cumulative Count
 Cumulative counts
 Survival Count
 Survival counts
 Probability
 Fraction of values lying in each bin
 CDF
 Cumulative distribution function
 SF
 Survival function
 HF
 Hazard function
 CHF
 Cumulative hazard function
Histogram (2D)
Chart
 Bins
 You can select a particular binning method or choose a specific bin size.
The
following are the available binning methods:
 Default

 Sturges
 Compute the number of bins based on the length of data
 Scott
 Asymptotically minimize the mean square error
 FreedmanDiaconis
 Twice the interquartile range divided by the cube root of sample size
 Knuth
 Balance likelihood and prior probability of a piecewise uniform model
 Wand
 Onelevel recursive approximate Wand binning
The following are the available bin sizes:
 10

 20

 50

 100

 Heights

 Count
 The number of values lying in each bin
 Cumulative Count
 Cumulative counts
 Survival Count
 Survival counts
 Probability
 Fraction of values lying in each bin
 CDF
 Cumulative distribution function
 SF
 Survival function
 HF
 Hazard function
 CHF
 Cumulative hazard function