How can I handle missing data or corrupted data in a dataset?

Question

How can I handle missing data or corrupted data in a dataset?

Answer 1

One of the most basic and easiest ways to deal with this is the removal of those rows and columns completely from the table. You can also replace the null spaces with values. 

The functions of the same are :

1. IsNull() and dropna() - To drop the block at once.

2. Fillna() - This will replace the wrong values for you.

Both these functions will be available when you import the pandas library.

Have a look at this video for a better understanding on pandas :