Assignment Specification

Description: This program will use Pandas to process MovieLens movie rating data.

Input: No user provided input. Data from files: movies.csv$,$ tags.csv$,$ and ratings.csv

Please, refer to the README.txt file for details. All the files are in a single zip file on Canvas.

Output:

See details in the Procedure.

Procedure:

$1.$ Load the three datasets movies.csv$,$ tags.csv$,$ and ratings.csv into three pandas DataFrames.

$2.$ Print the first $3$ rows of each of the $3$ DataFrames. Leave a blank line before each DataFrame listing and print any good heading.

$3.$ Create a single pandas DataFrame containing movieid; title; genres $($all from movies.csv$)$; rating $($from ratings.csv$)$; tag $($from tags.csv$).$ Make sure every row is referring to the same movieid.

$4.$ Count the number of movies with rating $5$ and then print $10$ of them $($any $10).$ For each movie, print title, genres and tag.

$5.$ Count the number of movies with rating $0\mathrm{.}5$ and then print $10$ of them $($any $10).$ For each movie, print title, genres and tag.