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This project analyzes a Movie dataset to uncover trends and insights related to popular IMDb movies and features using Python and data visualization libraries. Check out our Jupyter Notebook for a detailed look at my analysis.

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Vimal1893/EDA_IMDb_Movies

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EDA on IMDb Movies Dataset

The dataset includes information of different IMDb movies like genre, diretor, actors, year, runtime, rating, revenue, metascore etc.

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Dataset Info

  • There are a total of 1000 samples (rows) and 12 columns in the movies data.
  • There are 7 numerical features and 5 categorical features.
Id Columns Descriptions
01 Rank Movie Rank
02 Title Title of the movie
03 Genre The various Genre that the movie can be associated with
04 Description Short description about the movie
05 Director Director of the movie
06 Actors Main actors in the movie
07 Year Year in which the movie was released
08 Runtime (minutes) Total movie playing time
09 Rating Movie rating
10 Votes Vores for the movie
11 Revenue (Millions) Revenue by the movie (in millions)
12 Metascore Is the score of the movie on the metacritic website by critics

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Appreciate your feedbacks & suggestions.

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You can check the link here ⭐ 🔥 ⭐

About

This project analyzes a Movie dataset to uncover trends and insights related to popular IMDb movies and features using Python and data visualization libraries. Check out our Jupyter Notebook for a detailed look at my analysis.

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