Drop rows that are all NA in df and store the new data frame as df4. Note: if you check on the original data, there is only one row that has all NA: rows 2. Thus, you should only identify and remove the row from df.
The in-class exercise is based on textbook chapter 7: Data Cleaning and Preparation. You are supposed to carefully read through the chapter before working on the exercise. To use panda’s functions, you need first to import the package using import pandas as pd. ⦁ Filter Out Missing Data. The most straightforward way to deal with […]