Output nodes provide the means to obtain information about your data and
models. They also provide a mechanism for exporting data in various formats to interface with your
other software tools.
The following output nodes are available:
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The Table node displays the data in table format, which can also be written to a file. This
is useful anytime that you need to inspect your data values or export them in an easily readable
form.
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The Matrix node creates a table that shows relationships between fields. It is most commonly
used to show the relationship between two symbolic fields, but it can also show relationships
between flag fields or numeric fields.
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The Analysis node evaluates predictive models' ability to generate accurate predictions.
Analysis nodes perform various comparisons between predicted values and actual values for one or
more model nuggets. They can also compare predictive models to each other.
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The Data Audit node provides a comprehensive first look at the data, including summary
statistics, histograms and distribution for each field, as well as information on outliers, missing
values, and extremes. Results are displayed in an easy-to-read matrix that can be sorted and used to
generate full-size graphs and data preparation nodes.
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The Transform node allows you to select and visually preview the results of transformations
before applying them to selected fields.
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The Statistics node provides basic summary information about numeric fields. It calculates
summary statistics for individual fields and correlations between fields.
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The Means node compares the means between independent groups or between pairs of related
fields to test whether a significant difference exists. For example, you could compare mean revenues
before and after running a promotion or compare revenues from customers who did not receive the
promotion with those who did.
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The Report node creates formatted reports containing fixed text as well as data and other
expressions derived from the data. You specify the format of the report using text templates to
define the fixed text and data output constructions. You can provide custom text formatting by using
HTML tags in the template and by setting options on the Output tab. You can include data values and
other conditional output by using CLEM expressions in the template.
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The Set Globals node scans the data and computes summary values that can be used in CLEM expressions. For example, you
can use this node to compute statistics for a field called age and then use the overall mean
of age in CLEM
expressions by inserting the function @GLOBAL_MEAN(age).
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The Simulation Fitting node examines the statistical distribution of the data in each field
and generates (or updates) a Simulation Generate node, with the best fitting distribution assigned
to each field. The Simulation Generate node can then be used to generate simulated data.
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The Simulation Evaluation node evaluates a specified predicted target field, and presents
distribution and correlation information about the target
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