Hindi Film Debut and Box Office Dataset

Columns

• Movie_Name: The title of the released movie. The dataset contains 1,695 unique titles.
• Release_Period: Categorisation of the release time, indicating if the movie was released during a Normal period (63%) or a Holiday period (37%).
• Whether_Remake: Boolean indicating if the film is a recreation of a previously released movie (Yes/No). Only 4% of the films are remakes.
• Whether_Franchise: Specifies if the film belongs to a franchise or cinematic universe (Yes/No). 5% of the movies are part of a franchise.
• Genre: The primary category of the film. Drama is the most frequent genre (38%), followed by Comedy (17%). There are 14 unique genres identified.
• New_Actor: Indicates whether the lead actor is making a debut (True for 27% of records).
• New_Director: Indicates if the director is making their debut (True for 48% of records).
• New_Music_Director: Indicates if the music director is working on their first film (True for 33% of records).
• Lead_Star: The name of the primary actor or actress. There are 764 unique lead stars, with Akshay Kumar being the most frequent, appearing in 3% of the films.
• Director: The name of the movie's director. There are 1,048 unique directors listed.
• Music_Director: The name of the music director or composer. Pritam is the most frequent, appearing in 5% of the movies.
• Number_of_Screens: The total count of screens where the film was released. The average number of screens is 554.
• Revenue(INR): The total box office revenue generated in Indian Rupees (INR). The average revenue is 150 million.
• Budget(INR): The estimated production budget of the movie in Indian Rupees (INR). The average budget is 238 million.

Distribution

Usage

• Exploratory Data Analysis: Investigating correlations between financial metrics (budget, revenue, screens) and release characteristics (genre, franchise status, release period).
• Data Visualization: Creating graphical representations of industry trends over the 2005-2017 period.
• Performance Analysis: Studying the success rates and financial outcomes associated with movies featuring debut talent (actors, directors, music directors).
• Market Research: Analysing the financial viability of different genres, remakes, or franchise entries within the Indian market.

Coverage

License

Who Can Use It

• Film Industry Analysts: To benchmark financial performance, screen allocations, and budget planning.
• Data Scientists/Statisticians: For building predictive models regarding box office success based on production attributes.
• Academic Researchers: Studying the evolution and trends of the Indian cinema market.
• Hobbyists: Interested in generating insights and visualising key statistics about Bollywood movies.

Dataset Name Suggestions

1. Bollywood Movie Financial and Attribute Data (2005-2017)
2. Indian Cinema Performance Metrics
3. Hindi Film Debut and Box Office Dataset

Attributes