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On the other hand, there is usually circumstances in which some data may very well be missing. In Pandas missing data is represented by two price: None: None is usually a Python singleton item that is usually used for lacking data in Pyt
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Numerical: Quantitative data is expressed in numerical values which can be analyzed and manipulated mathematically.
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