The rest of this topic discusses options for displaying drillholes and viewing statistics on drillhole data tables. It is divided into: Once you have set up a table of statistics on a particular table, its settings will be saved so you can easily review the statistics and export the table using the same settings.

Points are sets of X-Y-Z coordinates, with or without associated values. In Leapfrog Geo, points are used to define surfaces and for interpolation. You can use the Points folder to: As with drillholes, points data can be displayed as flat points or as spheres. When Make points solid button ( ) is enabled for points data, the data points are displayed as spheres. Here, the values are displayed as flat points: You can display drillholes as lines or cylinders. You can also display the data associated with each segment. Here, the drillholes are displayed as flat lines:

Points Data

The rest of this topic describes importing and exporting points, setting elevation for points and evaluating points. It is divided into:

You can also import a colourmap, which is described in Importing and Exporting Colourmaps. Viewing Multiple Interval TablesFor each of these options, once the data source is selected, the process of importing the data is the same. The Box Plot options control the appearance of the box plot drawn under the primary chart. The whiskers extend out to lines that mark the extents you select, which can be the Min/max whiskers, the Inner fence whiskers or the Outer fence whiskers. Inner and outer values are defined as being 1.5 times the interquartile range and 3 times the interquartile range respectively. The rest of this topic describes the different statistics visualisations available in Leapfrog Geo. Statistics Scatter plots are useful for understanding relationships between two variables. An additional variable can be introduced by setting the Colouring option to a data column. The example below plots the two variables lead and zinc against each other, with gold being indicated by the colouring. You can make either axis a log scale with the Log scale in X and Log scale in Y options. A Query filter may be applied also.

Visualising data using the shape list and the shape properties panel is an important part of interpreting and refining data and making modelling decisions. The tools available depend on the type of object being displayed, and many objects can be displayed evaluated on other objects. You can hide empty categories (those with a count of zero) and inactive rows using the options below the Categories list: When an interval table has more than one column of data, select the column to view from the view list: Append the dataset, as described in Adding New Rows to Existing Data Tables in the Working With Data Tables topic. Some univariate graphs may include a Filtering option containing where a Query filter defined for the data set can be selected.Verification. It is always a good idea to verify the data using any available additional data. For example, if you’re working with drilling data, you could verify it using geophysical data. This is especially important when working with historic data, which may be less accurate and of lower quality compared to data collecting using contemporary techniques. Create grids of points that can be evaluated against geological and numeric models and exported for use in other modelling