LeapFrog 80-19269E Learn and Groove Musical Table Activity Center, Multi

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Some univariate graphs may include a Filtering option containing where a Query filter defined for the data set can be selected. 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 also be applied. The statistics options available in Leapfrog Geo depend on the type of object. Common statistics visualisations are described below: When you select Show linear regression, a regression line is added to the chart and a function equation is added below the chart title. Text columns containing text data that is not categorical, such as comments. Text columns are not validated when imported.

Before you start, gather all available data that will inform the model. Think about the information that can be used to support your model, including drilling data, GIS data, photos, cross sections and field mapping data. Don’t limit yourself by considering only data that is already in digital format. Historic drilling data logs in paper or PDFformat can be transcribed into text-based tables for input into Leapfrog Geo, while scanned maps, aerial imagery and geological cross sections can be georeferenced directly in Leapfrog Geo. Data Quality Select from the Numeric items available for the table. In this case, all columns have been selected, including the Interval Length column: The box plot (or box-and-whisker plot) provides a visualisation of the key statistics for a data set in one diagram. You can hide empty categories (those with a count of zero) and inactive rows using the options below the Categories list: Import the other groups as additional interval tables (see Importing Interval Tables). Select Import From File and then select whether you wish to import intervals or points, then select the AGS file again.

Form interpolants are useful for visualising structural data and identifying broad trends in 3D. The form interpolant’s meshes can then be used to control other surfaces in the project. When an interval table has more than one column of data, select the column to view from the view list: Selected points can be filtered in the scene by selecting the scatter plot from the Query filter options in the shape properties panel. You can plan drillholes, view prognoses for models in the project and export planned drillholes in .csv format. Leapfrog Geo can also import planned drillholes. The process is similar to importing the original table; select the file and map the columns you wish to import. Importing ASEG_DFN Points

Reloading points data overwrites all data in the existing table. If you have data you wish to add to the project without overwriting existing data, use the Append Data option.

Points Data

For each of these options, once the data source is selected, the process of importing the data is the same. Create grids of points that can be evaluated against geological and numeric models and exported for use in other modelling Having a clean and well-prepared data set is an important factor in building reliable models, and costly and time-consuming mistakes can often be avoided by putting in the upfront effort to preparing your data before embarking on building models. Plan Ahead

The rest of this topic describes importing and exporting points, setting elevation for points and evaluating points. It is divided into: Append the dataset, as described in Adding New Rows to Existing Data Tables in the Working With Data Tables topic. By default, the limits of the chart are automatically set to range between zero and the upper limit of the variable data. You can adjust this by turning off Automatic X axis limits and/or Automatic Y axis limits and specifying preferred minimum and maximum values for each axis. Enable Show X = Y line to plot the mirror line for the chart, which may not always be obvious when the X and Y axis have different scales.The Interval Length Statistics graph is a univariate graph, so for more information on the options available, see Univariate Graphs in the Analysing Data topic. For data imported in CSV, ASCII, TXT, DAT and TSV formats, separate files are required for each type of table. For data imported in AGS format, a single file is imported that contains each type of table and a summary of the relevant data is presented at each stage of the importation process so you can select from the available groups of data. The Collar Table The Copy button ( ) copies the selected rows to the clipboard so you can paste them into another application.

Downhole numeric data can be displayed in the scene as a bar graph and downhole points data can be displayed as a line graph. To display downhole data in this way, add the Drillhole Graphs object ( ) to the scene. The Drillhole Graph Style Manager will be displayed, showing the data columns available: There are several different visualisation options. Histogram shows a probability density function for the values, and Cumulative Histogram shows a cumulative distribution function for the values as a line graph: Once points data has been imported to the project, it can be modified and evaluated against geological models, numeric models and estimators, as described in Points Data. 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: Show quartile line draws a line through two points on the chart, the lower quartiles and the upper quartiles for each of the axes.When importing a file that has multiple features, you will be prompted to select which ones to import. You can also choose to: Leapfrog Geo has tools for importing, creating and working with many different types of data, including: Select Histogram and enable Histogram of the log to see the value distribution with a log scale X-axis.