How do you handle the missing or corrupted data in a dataset?

In Python Pandas, there are two methods that are very useful. We can use these two methods to locate the lost or corrupted data and discard those values:

isNull(): For detecting the missing values, we can use the isNull() method.
dropna(): For removing the columns/rows with null values, we can use the dropna() method.
Also, we can use fillna() to fill the void values with a placeholder value.