Cinematic Insights: Genre Trends, Production Preferences, and Performance Metrics Analysis, Graphical Representation

Problem

This project addresses the broader issue of understanding trends and dynamics within the film industry. By analyzing movie data through queries focusing on genre distribution, production company preferences, and detailed movie attributes, this project provides insights into audience preferences, market trends, and movie performance metrics. This comprehensive approach aids stakeholders in making informed decisions regarding production, marketing, and distribution strategies within the film industry.

Abstract

This project showcases a web application for analyzing a dataset of animation movies. We conducted an analysis on approximately 51,000 movies, yielding insightful results. The frontend system was crafted using HTML, CSS, and Bootstrap, while the backend employed Python with Flask to develop APIs. MongoDB was chosen to handle the data due to its ability to handle unstructured datasets. Our analysis delved into various aspects such as revenue, budget, popularity, and genre trends in movies. In essence, this project provides a data-driven platform for gaining insights into audience preferences and industry dynamics in the film sector, offering valuable support for strategic decision-making by stakeholders

Query 1: Genre Analysis of Specific Year.


Query 2: Exploring Genre Preferences and Domains of Production Companies.


Query 3: Deep Dive Analysis of Movie Attributes: Insights into Vote Average , Linguistic Diversity