Informatics Practices

Missing data in Pandas object is represented through :

  1. Null
  2. None
  3. Missing
  4. NaN

Python Pandas

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Answer

NaN

Reason — NaN stands for 'Not a Number'. In Python libraries like NumPy and Pandas, NaN is the legal empty value used to represent missing or undefined values, and we can use np.NaN to specify a missing value.

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