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SAS Global Forum 2009Statistics and Data AnalysisPaper 2412009Easier Exploratory Analysis for Epidemiology: A Grad Student How-to Paper Elisa L. Priest1,2 Brian Adams2, Lori A. Fischbach1 12University
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How to fill out easier exploratory analysis for

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Start by identifying the purpose of your exploratory analysis.
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Collect and organize your data into a format that can be easily analyzed.
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Define the key variables and parameters that you want to explore.
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Choose appropriate visualization techniques to represent your data.
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Perform data exploration by examining the relationships and patterns in the data.
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Identify any outliers or anomalies that may require further investigation.
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Document your findings and insights from the exploratory analysis.
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Summarize your analysis results in a clear and concise manner.

Who needs easier exploratory analysis for?

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Data analysts and scientists who are working on understanding a new dataset.
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Anyone who wants to gain insights and uncover patterns in their data.
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Easier exploratory analysis is for examining data to better understand trends, patterns, and relationships.
Easier exploratory analysis is typically done by data analysts, data scientists, and researchers.
Easier exploratory analysis can be filled out using statistical tools and software to analyze data and produce visualizations.
The purpose of easier exploratory analysis is to gain insights and identify patterns in data that can help in decision-making processes.
Information such as data sources, variables analyzed, statistical measures used, and visualizations created must be reported on easier exploratory analysis.
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