When you clean the data in a DataFrame, you first examine the data to see what needs to be done. Then, to start the cleaning process, you A drop columns that aren't needed, rename columns, and fix the data types B drop rows and columns that aren't needed, fix the data types, and fix any outliers drop rows and columns that aren't needed, rename columns, and fix missing values D drop duplicate rows, drop rows and columns that aren't needed, and rename columns Question 4 Before you can use the interpolate() method to smooth the outliers in a DataFrame, you need to A) forward fill the outliers B back fill the outliers change the outliers to missing values convert the outliers to ** 10 Points