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| This task addresses data mining questions using querying, visualization, and reporting techniques. These include distribution of key attributes (for example, the target attribute of a prediction task) relationships between pairs or small numbers of attributes, results of simple aggregations, properties of significant sub-populations, and simple statistical analyses. These analyses may directly address the data mining goals; they may also contribute to or refine the data description and quality reports, and feed into the transformation and other data preparation steps needed for further analysis. |
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Purpose
Explore
the data with the tables, charts, and other visualization tools available in IBM® SPSS® Modeler. Such analyses can help
to address the data mining goal constructed during the Understand Business activity. They can also help to
formulate hypotheses and shape the data transformation tasks that take place during data preparation.
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Relationships
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