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IMDb Movie and Crew Data

Insights into Movie Performance and Crew Performance

By mahesh [source]

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About this dataset

> This IMDb Movies dataset contains information about some of the most beloved and critically praised films of all time. It includes a variety of features, such as the movie's title, original title, year published, date released, genre, duration in minutes, country of origin, language spoken in the movie, director and writer credits, production company responsible for its creation and distribution. Additionally we've included field descriptions for each actor involved as well members member who had a role in its makeup or promotion. Along with these fields we can also see detailed reviews from users and critics alike regarding the film’s basis; thereby providing a comprehensive set to evaluate how different generations have rated it throughout the years. Our selection even offers a description field offering viewers an intimate peek into its plot line before watching if desired! Finally you can discover what kind of budget was appropriated to make this movie possible along with gross income both domestically and globally worldwide! So grab your popcorn and search within this dataset today to find out more info on some classic cinematic favorites!

More Datasets

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Featured Notebooks

> - 🚨 Your notebook can be here! 🚨!

How to use the dataset

> > In order to use this dataset properly, it is important to become familiar with the columns that make up the data set. The columns include: title, original_title, year, date_published ,genre, duration, country , language , director , writer , production_company , actors , :description avg_vote votes budget usa_gross income metascore reviews from users reviews from critics . > > By studying the various columns in this dataset you can discover trends in movies over time such as genres gaining in popularity or budgets increasing or decreasing annually. Additionally you can compare productions companies or directors over time to see how their output has changed or if they produce consistently well-regarded content. Finally by looking at actors over time you can track whether particular actors have experienced ups and downs in their career as well as seeing which actors have remained popular for extended periods of times thanks to larger bodies of work. > > With so many data points available it is easy to come up with dozens of questions that this dataset could help answer about movies both past present & future! Have fun exploring!

Research Ideas

> - Identifying movie trends in different countries, such as genre preference and budget size. > - Studying how aspects of the movie, such as actors, writers and crew, influence ratings and gross income. > - Analysing reviews from critics and users to understand correlations between reviews and metascores or vote values

Acknowledgements

> If you use this dataset in your research, please credit the original authors. > Data Source > >

License

> > > See the dataset description for more information.

Columns

File: IMDb names.csv

Column name	Description
title	The title of the movie. (String)
original_title	The original title of the movie (in case it was changed in other languages). (String)
year	The year when the movie was released. (Integer)
date_published	The date when the movie was released. (Date)
genre	The genre or general type that defines this particular movie (e.g. drama, comedy etc). (String)
duration	The length of time a movie typically runs for (in minutes). (Integer)
country	The country where this film was produced and distributed from by its makers/producers/distributors etc. (String)
director	Name(s) who held such position within a company operating such work within service activities related to motion pictures production / Marketing / Distributing organization related to motion pictures &videos media goods or services activities. (String)
writer	Name(s) involved directly with providing scripts/writing work concerning production services relative to entertainment markets. (String)
production_company	Name(s)of companies that operated through provision-enabling goods and services viewing an image capturing process which may result with presentation output form; pre-recorded physical presentation medium ,digital encoded representation platforms whereby end user are provided remote access video streams viewed as “movies” entertainment content; i..e, Netflix., Hulu., iTunes.,Amazon prime networks outlets. (String)
actors	Names present cast memebers actively performing as main characters engaging events as conveyed through storytelling based on account narration prior agreed upon written narrative layout outlines by licensed contracted writers crafting products order fulfillment purposes representing interests vested producers willing participant level exchanges business interacting engaged contracting parties exchanged oblations rights reserved .accordance. (String)
description	A short text summary about what happens typically during plot points encapsulated succinct layman terminology expressed briefly offering cursory glance script context related genres historically attributed classification identification webpages print literature sources citation references. (String)
avg_vote	The average vote score for the movie. (Float)
votes	The total number of votes for the movie. (Integer)
budget	The budget

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File: IMDb movies.csv

Column name	Description
title	The title of the movie. (String)
original_title	The original title of the movie (in case it was changed in other languages). (String)
year	The year when the movie was released. (Integer)
date_published	The date when the movie was released. (Date)
genre	The genre or general type that defines this particular movie (e.g. drama, comedy etc). (String)
duration	The length of time a movie typically runs for (in minutes). (Integer)
country	The country where this film was produced and distributed from by its makers/producers/distributors etc. (String)
director	Name(s) who held such position within a company operating such work within service activities related to motion pictures production / Marketing / Distributing organization related to motion pictures &videos media goods or services activities. (String)
writer	Name(s) involved directly with providing scripts/writing work concerning production services relative to entertainment markets. (String)
production_company	Name(s)of companies that operated through provision-enabling goods and services viewing an image capturing process which may result with presentation output form; pre-recorded physical presentation medium ,digital encoded representation platforms whereby end user are provided remote access video streams viewed as “movies” entertainment content; i..e, Netflix., Hulu., iTunes.,Amazon prime networks outlets. (String)
actors	Names present cast memebers actively performing as main characters engaging events as conveyed through storytelling based on account narration prior agreed upon written narrative layout outlines by licensed contracted writers crafting products order fulfillment purposes representing interests vested producers willing participant level exchanges business interacting engaged contracting parties exchanged oblations rights reserved .accordance. (String)
description	A short text summary about what happens typically during plot points encapsulated succinct layman terminology expressed briefly offering cursory glance script context related genres historically attributed classification identification webpages print literature sources citation references. (String)
avg_vote	The average vote score for the movie. (Float)
votes	The total number of votes for the movie. (Integer)
budget	The budget

Acknowledgements

> If you use this dataset in your research, please credit the original authors. > If you use this dataset in your research, please credit mahesh.