Name: Top 1000s In IMDB
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Top 1000s In IMDB

IMDb (an abbreviation of Internet Movie Database)[2] is an online database of information related to films, television series, home videos, video games, and streaming content online – including cast, production crew and personal biographies, plot summaries, trivia, ratings, and fan and critical reviews. IMDb began as a fan-operated movie database on the Usenet group "rec.arts.movies" in 1990, and moved to the web in 1993. It is now owned and operated by IMDb.com, Inc., a subsidiary of Amazon.

As of June 2021, the database contained some 8 million titles (including television episodes) and 10.4 million person records.[3] Additionally, the site had 83 million registered users. The site's well-used message boards were disabled in February 2017.

Tables

Imdb 1000 Movies In June 2022

@kaggle.ramjasmaurya_top_250s_in_imdb.imdb_1000_movies_in_june_2022

216.33 kB
1,000 rows
16 columns

CREATE TABLE imdb_1000_movies_in_june_2022 (
  "ranking_of_movie" DOUBLE,
  "movie_name" VARCHAR,
  "year" VARCHAR,
  "certificate" VARCHAR,
  "runtime" VARCHAR,
  "genre" VARCHAR,
  "rating" DOUBLE,
  "metascore" DOUBLE,
  "detail_about_movie" VARCHAR,
  "director" VARCHAR,
  "actor_1" VARCHAR,
  "actor_2" VARCHAR,
  "actor_3" VARCHAR,
  "actor_4" VARCHAR,
  "votes" BIGINT,
  "gross_collection" VARCHAR
);

Imdb 1000 Tv Series June 2022

@kaggle.ramjasmaurya_top_250s_in_imdb.imdb_1000_tv_series_june_2022

203.26 kB
1,000 rows
13 columns

CREATE TABLE imdb_1000_tv_series_june_2022 (
  "ranking" DOUBLE,
  "series_name" VARCHAR,
  "year" VARCHAR,
  "certificate" VARCHAR,
  "runtime" VARCHAR,
  "genre" VARCHAR,
  "rating" DOUBLE,
  "details" VARCHAR,
  "actor_1" VARCHAR,
  "actor_2" VARCHAR,
  "actor_3" VARCHAR,
  "actor_4" VARCHAR,
  "votes" BIGINT
);

Imdb Movies

@kaggle.ramjasmaurya_top_250s_in_imdb.imdb_movies

67.54 kB
250 rows
16 columns

CREATE TABLE imdb_movies (
  "ranking_of_movie" BIGINT,
  "movie_name" VARCHAR,
  "year" VARCHAR,
  "certificate" VARCHAR,
  "runtime" VARCHAR,
  "genre" VARCHAR,
  "rating" DOUBLE,
  "detail_about_movie" VARCHAR,
  "director" VARCHAR,
  "actor_1" VARCHAR,
  "actor_2" VARCHAR,
  "actor_3" VARCHAR,
  "actor_4" VARCHAR,
  "votes" BIGINT,
  "metascore" DOUBLE,
  "gross_collection" VARCHAR
);

Imdb Series

@kaggle.ramjasmaurya_top_250s_in_imdb.imdb_series

60.07 kB
250 rows
13 columns

CREATE TABLE imdb_series (
  "ranking" BIGINT,
  "series_name" VARCHAR,
  "year" VARCHAR,
  "certificate" VARCHAR,
  "runtime" VARCHAR,
  "genre" VARCHAR,
  "rating" DOUBLE,
  "details" VARCHAR,
  "actor_1" VARCHAR,
  "actor_2" VARCHAR,
  "actor_3" VARCHAR,
  "actor_4" VARCHAR,
  "votes" BIGINT
);

Imdb Video Games

@kaggle.ramjasmaurya_top_250s_in_imdb.imdb_video_games

61.41 kB
250 rows
13 columns

CREATE TABLE imdb_video_games (
  "ranking" BIGINT,
  "video_game_name" VARCHAR,
  "year" VARCHAR,
  "genre" VARCHAR,
  "rating" DOUBLE,
  "details" VARCHAR,
  "director" VARCHAR,
  "actor_1" VARCHAR,
  "actor_2" VARCHAR,
  "actor_3" VARCHAR,
  "actor_4" VARCHAR,
  "votes" BIGINT,
  "certificate" VARCHAR
);