Histogram Plot Overview

To generate a Histogram Plot of any quantitative data column in the Pole Data Grid:

1. Select Statistics > Histogram from the Analysis ribbon.
2. The Histogram Plot dialog appears. Select a Data Column from the drop-down list. Only qualitative columns are available (i.e., columns with Numeric Data Type).
3. Enter the Number of Bins. The default is 30, but any value greater than 1 can be entered.
4. Optionally, select the Weighted checkbox to apply Terzaghi Weighting to Quantity (i.e., Quantity x Weight).
5. Optionally, select the Best Fit Distribution checkbox to determine and show the Best Fit Distribution for the variable using the Kolmogorov-Smirnov Goodness of Fit test.
6. Optionally, select the Relative Frequency checkbox to show the relative frequency instead of the actual count.
7. Click OK to plot the histogram.

The Histogram is generated, and the mean, standard deviation, minimum and maximum values for the data plotted are listed at the bottom of the Histogram.

Relative Frequency

The Relative Frequency option allows you to scale the Frequency axis of Histograms in terms of Relative Frequency.

• If the Relative Frequency option is ON, then the Frequency axis of a Histogram will be scaled such that the AREA under the distribution is equal to one.
• If the Relative Frequency option is OFF, then the Frequency axis will be in terms of the actual number of samples.

Best Fit Distribution

The Best Fit Distribution option allows you to determine the best fit distribution for the plotted data and can be displayed on the histogram along with the distribution parameters (mean, standard deviation and min, max values).

Custom histogram options can be set in the Filter Distributions dialog.