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For Data Analytics


Question: propose

a data set that you might want to analyze in order to solve/understand a perceived problem/opportunity. Consider the highlighted problem/opportunity, and think through the data elements that you feel would be important to better understand the underlying cause/solution. 


  • Discuss how the data could be sampled
  • Highlight the data types for the elements involved (continuous, categorical)
  • Pick two of the following to highlight how you might have to leverage the selected data cleansing/preprocessing methods:
  • Missing Values
  • Outlier Detection and Treatment
  • Standardizing Data
  • Categorization
  • Weights of Evidence Coding
  • Variable Selecting
  • Segmentation


Be sure to cite your sources

Thank you 






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