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A field viewer is a table containing the values of one or more data fields.
The fields whose values display are inputs or outputs of a dataset’s log sources, transformations, or extended dimensions. The field’s name is shown in the column heading, and each row contains the field’s value for a single row of source data. Because field viewers enable you to see a field’s values, they are helpful in writing and testing regular expressions.
You can open a field viewer as a callout from a Transformation Dependency map or as a standalone visualization from the Admin menu:
Creating a field viewer from a Transformation Dependency map. When you open a field viewer from a Transformation Dependency map, the viewer is populated automatically based on the log source, transformation, or dimension that you right-click. For a log source or a transformation, the fields in the viewer are inputs or outputs of the log source or transformation. For a dimension, the fields are inputs of the dimension. You can add and remove fields as desired.
Creating a field viewer as standalone visualization. When you open a field viewer as a standalone visualization, you can create a Log Processing Field Viewer or a Transformation Field Viewer. The viewer is blank, and you must add the desired fields to the viewer. For a Log Processing Field Viewer, you can add fields from the Log Processing.cfg file or any Log Processing Dataset Include file. For a Transformation Field Viewer, you can add fields from the Transformation.cfg file or any Transformation Dataset Include file.
Field viewers are not table visualizations; therefore, they do not have the properties associated with tables.
For information about adding and removing fields and filtering within a field viewer, see Administrative Interfaces.