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Is There a Conflict of Interest in Movie Ratings? A Data Analysis Exploration
Ever wondered if a website that sells movie tickets and displays review ratings might have a conflict of interest? Join us as we dive into a fascinating data analysis project to uncover the truth behind movie ratings on a popular ticket-selling site, "BLACKTAB" (name changed for this presentation).
🌟 What You'll Learn:
- The potential conflict of interest in websites selling tickets and displaying ratings
- How to use data analysis to uncover discrepancies in movie ratings
- A step-by-step journey through data collection, cleaning, and visualization
📈 Key Highlights:
- Comparing BLACKTAB's displayed ratings with their actual backend ratings
- Analyzing how BLACKTAB's ratings differ from other popular sites like Rotten Tomatoes and Metacritic
- Visualizing the relationship between movie popularity and ratings through scatterplots and KDE plots
- Quantifying discrepancies between displayed and true ratings using count plots
- Understanding the impact of artificially boosted ratings on consumer decisions
🔍 Why Watch?
- See real-world applications of data analysis and machine learning in uncovering hidden biases
- Learn how to create compelling visualizations to communicate your findings effectively
- Discover if BLACKTAB is artificially boosting movie ratings to sell more tickets
- Gain insights into how data can be used to challenge and verify assumptions
Join us on this journey as we use data analysis to answer a crucial question about the integrity of movie ratings. Whether you're a data enthusiast, a movie buff, or just curious about conflicts of interest, this video has something for you!
Also interested in use-cases in the finance sector?
https://www.youtube.com/playlist?list=PLTkxeddftu_1eYFBvwVPIPCWti1-xZsHK
Interested in AI-Generated financial market news?
https://www.youtube.com/playlist?list=PLTkxeddftu_0Zeu_REaL3l4Jvwr2a_fPm
https://www.youtube.com/playlist?list=PLTkxeddftu_2yp1cLECEb1NuAwZiIwqId
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#DataAnalytics, #DataVisualization, #MovieRatings, #ConflictOfInterest, #RiskManagement, #ConsumerDecisions, #HiddenBias, #RatingsBias, #DataScience, #EthicsInData