Question - How to handle Missing or Corrupted Data in a Dataset?
Answer -
In Python pandas, there are two methods to locate lost or corrupted data and discard those values:
- isNull(): It can be used for detecting the missing values.
- dropna(): It can be used for removing columns or rows with null values.
- fillna() can be used to fill the void values with placeholder values.