The data that we have needs to make sense and therefore you can perform certain sanity checks on them to ensure they are factually correct as well. Some sanity checks can be: Rating is between 1 and 5 ...
<class 'pandas.core.frame.DataFrame'> RangeIndex: 5000 entries, 0 to 4999 Data columns (total 20 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 age 5000 non-null int64 1 ...
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