Column Statistics content model and Pairwise Statistics content model
Column Statistics content model and Pairwise Statistics content model
Last updated: Feb 12, 2025
Column Statistics content model and Pairwise Statistics content model
The Column Statistics content model provides access to statistics that can be
computed for each field (univariate statistics). The Pairwise Statistics content model
provides access to statistics that can be computed between pairs of fields or values in a field.
Any of these statistics measures are possible:
Count
UniqueCount
ValidCount
Mean
Sum
Min
Max
Range
Variance
StandardDeviation
StandardErrorOfMean
Skewness
SkewnessStandardError
Kurtosis
KurtosisStandardError
Median
Mode
Pearson
Covariance
TTest
FTest
Some values are only appropriate from single column statistics while others are only
appropriate for pairwise statistics.
Nodes that produce these are:
Statistics node produces column statistics and can produce
pairwise statistics when correlation fields are specified
Data Audit node produces column and can produce pairwise
statistics when an overlay field is specified.
Means node produces pairwise statistics when comparing pairs
of fields or comparing a field's values with other field summaries.
Which content models and statistics are available depends on both the particular node's
capabilities and the settings within the node.
Table 1. Methods for the Column Statistics content model
Method
Return types
Description
getAvailableStatistics()
List<StatisticType>
Returns the available statistics in this model. Not all fields necessarily have values for
all statistics.
getAvailableColumns()
List<String>
Returns the column names for which statistics were computed.
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