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EDA ON IMDB MOVIES
The IMDB movies dataset analysis is a data analysis project that explores the IMDB movies dataset, a public dataset containing information on movies, including ratings, revenue, votes, and more. The goal of the project is to gain insights into various aspects of movies, identify patterns, and perform exploratory data analysis.
Analysis and Visualizations:
- A bar plot showing Votes by Years
- A bar plot showing Revenue (Millions) by Years
- A count plot showing the count of Runtime (Minutes) for Top Movies
- A count plot for the Number of Movies by Years
- A bar plot showing Top Movies Revenue
- A bar plot showing the Rating for Movies and who Directed them
- A scatter plot showing a correlation between Rating and Revenue
- A scatter plot showing the Correlation between Votes and Rating
Some Analysis Questions on Dataset:
- Display Title of The Movie Having Runtime >= 180 Minutes
- In Which Year Was The Highest Average Voting?
- In Which Year Was The Highest Average Revenue?
- Find The Average Rating For Each Director
- Display Top 10 Lengthy Movies Title and Runtime
- Display Number of Movies Per Year
- Display Top 10 Highest Revenue Movie Titles
- Display Top 10 Highest Rated Movie Titles And Their Directors
- Find the Most Popular Movie Title (highest revenue)
- Find the Average Rating of Movies Year Wise
- The Relation between Rating and Revenue
- Classify Movies Based on Ratings [Excellent, Good, and Average]
- Find Unique Values From Genre
- How Many Films of Each Genre Were Made?
- Does Votes Affect The Rating?