Data mapping is the process of associating a dataset with an operational object so that objects can use the data in an analysis or other function. Data mapping in Phoenix is as simple as dragging a dataset from the Data folder to an object’s input or using the Select Object dialog to select a dataset.
There are multiple types of data mapping in Phoenix:
Mapping a dataset to an operational object: Datasets can be mapped to the different panels in an object’s Setup list, or they can be mapped to an object’s inputs in the Diagram tab.
Mapping results to an operational object
Mapping context associations: Context mapping is the process of linking a specific column in a dataset to a specific context in an operational object, such as Time or Concentration.
Phoenix can complete context mappings if a column header in a worksheet matches the context name in an operational object. The Global Contexts and Context Association panels in the Preferences dialog can be used to automatically associate columns in a dataset with contexts in an operational object. For example, Phoenix can be set to map a concentration column named conc to an operational object’s concentration context.
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