The video tutorial explains how to group data by title and rating, count the number of ratings, and sort them in descending order. It demonstrates calculating the mean rating for each title and adding a new column to the dataframe to show the number of ratings per movie. The tutorial uses Python code to illustrate these data manipulation techniques, providing examples with specific movie titles and their ratings.

What is the primary purpose of grouping data by title and rating?

• To find the count and mean of ratings for each title

• To determine the genre of each movie

• To list all actors in each movie

• To calculate the total revenue of each movie

After grouping the data, what is the next step to analyze the ratings?

• Sort the data in ascending order

• Convert ratings to a percentage

• Sort the data in descending order

• Filter out movies with less than 100 ratings

Which function is used to display the top results after sorting?

• dot_head()

• dot_show()

• dot_top()

• dot_tail()

What new column is added to the dataframe in the final step?

• Number of Ratings

• Average Rating

• Movie Genre

• Total Revenue

How many users rated the movie '12 Angry Men'?

• 509

• 584

• 125

• 9