• Below is the DataFrame of columns 'Overall' through 'Business Service' drop the last column (i.e., 'Business Service').
• Code to modify: https://docs.google.com/document/d/1bfFbxf9btVvzwoEVR5vpwjGh95Ihr1_Jy--PsYVvoek/edit?usp=sharing
• Now, from this modified DataFrame, completely drop (i.e., eliminate/delete) all rows containing the value '-1' in one or more fields. They represent missing values rather than actual ratings, and there are 5 such rows. Dropping these rows will leave us with only those 52 reviews whose authors provided valid ratings forallthe remaining seven survey questions (i.e., 'Overall' through 'Service').
• I need help printing out the resulting DataFrame at the end of Step 2 above.
• Convert all data points in this DataFrame to integers. (Even though they look like integers, they are currently stored as strings because they were extracted by splitting strings containing tags, reviews, and assorted text.)
• Refer to the attached reviews.txt file: https://docs.google.com/document/d/13B639wNb2Kgeu2x4FDgfnUIfgfrEFQaxGsCpS9nh1xA/edit?usp=sharing