10,000 Data About Movies (1915 - 2023)
my dataset is about movies since creation form arts visuals in american 1915 eve
@kaggle.willianoliveiragibin_10000_data_about_movies_1915_2023
my dataset is about movies since creation form arts visuals in american 1915 eve
@kaggle.willianoliveiragibin_10000_data_about_movies_1915_2023
meu conjunto de dados é sobre a criação de filmes desde 1915 na história da criação, a garota do cinema e sobre você, pessoas de entretenimento na população americana, em palavras antes de filmes e países, outras línguas envolviam as criaturas das pessoas
Content:
movie_name: The title of the movie.
year: The year of the movie's release.
rating: IMDb user rating.
metascore: Metascore rating.
gross_income: Gross income of the movie.
votes: Number of votes on IMDb.
runtime: Duration of the movie in minutes.
genre: Genre(s) of the movie.
certificate: Certification or rating of the movie.
description: A brief summary or plot of the movie.
directors: Director(s) of the movie.
stars: Main cast or actors of the movie.
Use Cases:
Film industry analysis.
Sentiment analysis based on user ratings and reviews.
Recommender system development.
Trend analysis over different decades.
Academic research and case studies related to movies and entertainment.
Acknowledgments:
The data has been scraped from IMDb's website for educational and research purposes. Special thanks to IMDb for allowing web scraping for these purposes.
Dataset Information:
Size: 2MB
Format: CSV
Columns: 12
Rows: 10,000
CREATE TABLE data (
"unnamed_0" BIGINT -- Unnamed: 0,
"movie_name" VARCHAR,
"year_of_release" BIGINT,
"run_time_in_minutes" BIGINT,
"movie_rating" DOUBLE,
"votes" BIGINT,
"metascore" DOUBLE,
"gross" DOUBLE,
"genre" VARCHAR,
"certification" VARCHAR,
"director" VARCHAR,
"stars" VARCHAR,
"description" VARCHAR
);Anyone who has the link will be able to view this.