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US 20040254924A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2004/0254924 A1 (43) Pub. Date: Derringer et al. (54) ITERATIVE DATA ANALYSIS PROCESS VIA QUERY RESULT AUGMENTATION

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What is iterative data analysis process?

The iterative data analysis process refers to a method of analyzing data using repetitive cycles of exploration, analysis, and interpretation to gain insights and make conclusions.

Who is required to file iterative data analysis process?

There is no specific requirement to file the iterative data analysis process as it is not a formal filing, but rather a methodology used in data analysis.

How to fill out iterative data analysis process?

The iterative data analysis process is not filled out in a traditional sense. It involves the repeated steps of exploring data, analyzing it, and interpreting the results to gain insights.

What is the purpose of iterative data analysis process?

The purpose of the iterative data analysis process is to uncover patterns, trends, and insights from large and complex datasets by continuously refining and exploring the data.

What information must be reported on iterative data analysis process?

Since the iterative data analysis process is not a formal filing, there is no specific information that needs to be reported.

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