Welcome to the "IMDB Movie Analysis" project repository! In this project, we dive into the world of movie analytics using IMDB data. Our goal is to investigate the factors influencing the success of a movie on IMDB, defined by high IMDB ratings. This analysis is crucial for movie producers, directors, and investors to make informed decisions in their future projects.
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Difficulty Level: Intermediate
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Description: We'll start by cleaning the dataset to make it suitable for analysis, handling missing values, removing duplicates, and performing feature engineering if necessary. Then, we'll delve into data analysis to understand the relationships between different variables, such as movie genres, duration, language, directors, and budgets, with IMDB ratings.
Utilizing the Five 'Whys' Approach, we'll dig deeper into the underlying factors influencing movie success. Subsequently, we'll create a report and data story, presenting our findings and insights using visualizations to drive decision-making.
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Dataset: Link to Excel Dataset
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Project Report: Link to PDF Report
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Presentation Slides: Link to PowerPoint Presentation
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Video Presentation: Link to Video Presentation
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Movie Genre Analysis:
- Analyze the distribution of movie genres and their impact on IMDB scores.
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Movie Duration Analysis:
- Analyze the distribution of movie durations and their impact on IMDB scores.
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Language Analysis:
- Examine the distribution of movies based on language and their impact on IMDB scores.
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Director Analysis:
- Identify top directors based on average IMDB scores and analyze their contribution to movie success.
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Budget Analysis:
- Explore the relationship between movie budgets, gross earnings, and profit margin.
- LinkedIn Profile: Link to LinkedIn Profile
- GitHub ID: @Shraaj1
- Email: rajr65037@gmail.com
Your feedback and suggestions are highly valued! Feel free to reach out via email or LinkedIn for discussions or inquiries.