Movie data set analysis using PIG - hadoop

Question

I have the following data set for a movie database:
Ratings: UserID, MovieID, Rating :: Movies: MovieID, Title :: Users: UserID, Gender, Age
Now I have to JOIN the above 3 datasets and determine which movie has the highest rating among females and lowest rating among males, and vice versa.
I have done the JOIN:
myusers = LOAD '/user/cloudera/movies/input/users.dat'
USING PigStorage(':')
AS (user:int, n1, gender:chararray, n2, age:int);
ratings = LOAD '/user/cloudera/movies/input/ratings.dat'
USING PigStorage(':')
AS (user:int, n1, movie:int, n2, rating:int);
movies = LOAD '/user/cloudera/movies/input/movies.dat'
USING PigStorage(':')
AS (movie:int,n1,title:chararray);
data = JOIN ratings BY user, myusers BY user;
data2= JOIN data BY ratings::movie, movies BY movie;
But after this I am running into many issues such as "ERROR 0: Scalar has more than one row in the output" when I try to print columns from data2. Any ideas to help me accomplish this task?

Answer 1

After the following step
data = JOIN ratings BY user, myusers BY user;
Create two datasets one for male and another for female by using gender as the filter.Order the dataset and get the max and min for both the datasets.
male = FILTER data by gender == 'M'; -- Use the gender value for male
female = FILTER data by gender == 'F';
m_max = LIMIT (ORDER male by rating DESC) 1;
f_max = LIMIT (ORDER female by rating DESC) 1;
m_min = LIMIT (ORDER male by rating ASC) 1;
f_min = LIMIT (ORDER female by rating ASC) 1;