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Cleaning Data Reflection

  • Writer: Kimberly Agosto
    Kimberly Agosto
  • Jan 27, 2019
  • 1 min read

January 27, 2019

Data analysis is not a perfectly objective process. When omitting data we deem to be unimportant or irrelevant, we are withholding information which makes the data we present not wholly objective. An objective presentation of data would most likely be pages and pages of excel sheets with thousands of pieces of information. Though it is objective, most would render it useless because it doesn't present a specific aspect of the data. There is also a certain type of bias that goes into data analysis, and that is when the analyzer clings to their hypothesis and tries to make the data they observe match it, omitting key information that would prove it otherwise.

 
 
 

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