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It is very difficult to provide lucid explanations of the principles and methodologies used behind various data analyses to non-computational background researchers. But open and effective communication between - researchers of different fields - and - data analysts - will only produce effective results. This requires data analyst 1) explaining the logic behind the methods used to the researchers and 2) the researchers explaining scientific principles and objectives behind their research work. Therefore, analysts can formulate valid hypotheses, models, and methodologies for data analyses. The success and quality results of any analysis carried over any trail or experiment depend on the interaction, mutual respect, and understanding among the analysts and the researcher. It is our goal to provide you with a complete and comprehensive analysis of your data from the time you begin to write the thesis statement.

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