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asked in Data Science Interview Questions by (710 points)  
  

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answered by (710 points)  
  • Having a poor formatted data file. For instance, having CSV data with un-escaped newlines and commas in columns.
  • Having inconsistent and incomplete data can be frustrating.
  • Common Misspelling and Duplicate entries are a common data quality problem that most of the data analysts face.
  • Having different value representations and misclassified data.
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