An Introduction To The Notebook. "Background"
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The IMDB Top 250 Movies dataset is a collection of highly acclaimed and influential movies. The dataset includes movies ranked based on user ratings on IMDB, showcasing the most beloved films by the audience.
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Key columns in the dataset include:
- Rank: The ranking of the movie in the IMDB Top 250 list.
- Name: The title of the movie.
- Year: The year of release.
- Rating: The average rating given by users.
- Genre: The genre(s) to which the movie belongs.
- Certificate: The certification or rating given to the movie (e.g., PG-13, R).
- Run Time: The duration of the movie.
- Tag Line: A brief and catchy phrase associated with the movie.
- Budget: The estimated budget of the movie.
- Box Office: The box office revenue generated by the movie.
- Casts: The main cast members of the movie.
- Directors: The directors of the movie.
- Writers: The writers of the movie.
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This dataset provides a valuable resource for analyzing trends, patterns, and factors contributing to the success and enduring popularity of these cinematic masterpieces.
What Is The Expected Content Of This Notebook?
- We will mainly perform an Exploratory Data Analysis, and comment on the results in the conclusions.
- We will also provide a Time Series Analysis, to reveal more insights about our historical data.
- Determine which features have the most influence on movie ratings.
- Identify the key factors contributing to highly rated movies.