Problem Definition:
The problem is to create a Python program for movie data analysis. The program allows users to explore a list of sample movies, including their titles and ratings. The objective is to provide users with the following functions
1. Display Movie Statistics: Show a list of sample movies along with their titles and ratings.
2. Calculate Average Movie Rating: Calculate and display the average rating of the sample movies.
Hypothesis:
The hypothesis is that by providing users with a simple movie dataset analysis tool, they can quickly access movie information and get an idea of the average movie rating. This tool will be helpful for users who want to explore movie statistics in a quick manner.
Related Work:
The problem of movie dataset analysis and the method used in the Python program are related to the visual analytics techniques used in existing movie recommendation systems.
In current analytics for movie recommendation systems, similar techniques are used to process and analyze large movie datasets. However, these systems typically provide more advanced and interactive visualizations to help users explore and discover movies based on various criteria, such as genres, ratings, release years, and user preferences.
One example of an existing visual analytics tool for movie recommendations is the movie recommendation system provided by Netflix. Netflix uses algorithms and data analysis techniques to analyze user viewing history and preferences to provide personalized movie recommendations to its users. The system presents these recommendations through an interactive visual interface, allowing users to explore movie suggestions, view movie trailers, and read reviews before making a decision.
Solution:
Data Representation:The movie dataset is represented using a custom class named `Movie`, which holds information about each movie, including its title and rating. The dataset is hardcoded as a list of `Movie` objects.
Basic Statistical Analysis: The program provides two functionalities for basic statistical analysis:
- Display Movie Statistics: It shows the list of sample movies along with their titles and ratings. This is a part-to-whole analysis, where the individual movie ratings are displayed in relation to the entire list of movies.
- Calculate Average Movie Rating: It calculates and displays the average rating of the sample movies. This is a deviation analysis, where the average rating serves as a reference point to assess individual movie ratings.
User Interaction: The user interacts with the program through a text-based interface. The program displays a menu with options to choose from. Users input their choice by entering the corresponding menu number.
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