James Bond Movies by Kaggle | Media and Entertainment

About this Dataset

James Bond Movies

A Dataset of all the James Bond Movies

About this dataset

Welcome to the James Bond dataset! This data includes everything you need to know about the world's most famous spy. The dataset includes information on the Bond films, the actors who have played him, the directors of the films, the film's box office performance, the budget of the films, and the critical reception of the films. This data is a valuable resource for researchers interested in the history of the James Bond film franchise, the commercial success of the films, and the critical response to the films.

Thecolumns provide a wide variety of information on each entry in this dataset. The first two columns are devoted tothe title and year of release for each film. Next is a column forthe name of each actor who has played James Bond overthe years. It is interesting to note that there have been six different actors who have taken on this iconic role! Moving on, we have columns forthe director(s)of each film as well as any awards that each movie has earned. Finally, we come totwo of th emost important columns in this dataset: box office performance (in millions of dollars) and budget (also in millions of dollars).

Thisdata is perfect for anyone looking to do some research on oneof cinema's most storied franchises. With over twentyfive movies spanning nearly six decades, there is no shortageof material to work with here! So what are you waitingfor? Get started today and see what you can discoverabout James Bond and his many adventures

How to use the dataset

This data is a valuable resource for researchers interested in the history of the James Bond film franchise, the commercial success of the films, and the critical response to the films. The dataset includes information on the Bond films, the actors who have played him, the directors of the films, the film's box office performance, the budget of the films, and the critical reception of the films.

To get started, take a look at some basic information about each column in this dataset:

Title: The title of each James Bond film

Year: The year each James Bond film was released

Bond actor: The actor who played James Bond in each film

Director: The director of each James Bond film

Ref(s): A list of references for each James Bond film

Film: The name of each James Bond film

Awards: The awards each James Bond film has won

Critical: The critical reception of each James Bond film (on a scale from 0 to 100)

Public: The public reception of each James Bond film (on a scale from 0 to 100)

Research Ideas

This dataset can be used to analyze the commercial success of the James Bond films.

This dataset can be used to study the critical reception of the James Bond films.

This dataset can be used to investigate the history of the James Bond film franchise

Acknowledgements

License

> License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
> No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: df_1.csv

Column name	Description
Title	The title of the James Bond film. (String)
Year	The year the James Bond film was released. (Integer)
Bond actor	The actor who played James Bond in the film. (String)
Director	The director of the James Bond film. (String)
Ref(s)	References for the data in the row. (String)

File: df_4.csv

Column name	Description
Film	The name of the film. (String)
Awards	The awards the film has won. (String)

File: df_3.csv

Column name	Description
Film	The name of the film. (String)
Critical	The critical reception of the film. (String)
Critical.1	The critical reception of the film. (String)
Public	The public reception of the film. (String)

File: df_2.csv

Column name	Description
Title	The title of the James Bond film. (String)
Year	The year the James Bond film was released. (Integer)
Bond actor	The actor who played James Bond in the film. (String)
Ref(s)	References for the data in the row. (String)
Director(s)	The director(s) of the James Bond film. (String)
Box office (millions)[13]	The box office performance of the James Bond film in millions of dollars. (Float)
Box office (millions)[13].1	The box office performance of the James Bond film in millions of pounds. (Float)
Budget (millions)[13]	The budget of the James Bond film in millions of dollars. (Float)
Budget (millions)[13].1	The budget of the James Bond film in millions of pounds. (Float)

File: df_6.csv

Column name	Description
0
1

File: df_7.csv

Column name	Description
0
1

Tables

Df 1

@kaggle.thedevastator_data_tips_for_the_james_bond_movie_franchise.df_1

9.5 KB
27 rows
10 columns


CREATE TABLE df_1 (
  "unnamed_0" DOUBLE,
  "title" VARCHAR,
  "year" VARCHAR,
  "bond_actor" VARCHAR,
  "director" VARCHAR,
  "box_office_millions_13" VARCHAR,
  "box_office_millions_13_1" VARCHAR,
  "budget_millions_13" VARCHAR,
  "budget_millions_13_1" VARCHAR,
  "ref_s" VARCHAR
);

Df 2

@kaggle.thedevastator_data_tips_for_the_james_bond_movie_franchise.df_2

7.73 KB
4 rows
10 columns


CREATE TABLE df_2 (
  "unnamed_0" DOUBLE,
  "title" VARCHAR,
  "year" VARCHAR,
  "bond_actor" VARCHAR,
  "director_s" VARCHAR,
  "box_office_millions_13" VARCHAR,
  "box_office_millions_13_1" VARCHAR,
  "budget_millions_13" VARCHAR,
  "budget_millions_13_1" VARCHAR,
  "ref_s" VARCHAR
);

Df 3

@kaggle.thedevastator_data_tips_for_the_james_bond_movie_franchise.df_3

5.48 KB
30 rows
5 columns


CREATE TABLE df_3 (
  "unnamed_0" DOUBLE,
  "film" VARCHAR,
  "critical" VARCHAR,
  "critical_1" VARCHAR,
  "public" VARCHAR
);

Df 4

@kaggle.thedevastator_data_tips_for_the_james_bond_movie_franchise.df_4

4.65 KB
29 rows
3 columns


CREATE TABLE df_4 (
  "unnamed_0" DOUBLE,
  "film" VARCHAR,
  "awards" VARCHAR
);

Df 6

@kaggle.thedevastator_data_tips_for_the_james_bond_movie_franchise.df_6

3.64 KB
6 rows
3 columns


CREATE TABLE df_6 (
  "unnamed_0" BIGINT,
  "n_0" VARCHAR,
  "n_1" VARCHAR
);

Df 7

@kaggle.thedevastator_data_tips_for_the_james_bond_movie_franchise.df_7

2.79 KB
2 rows
3 columns


CREATE TABLE df_7 (
  "unnamed_0" BIGINT,
  "n_0" VARCHAR,
  "n_1" VARCHAR
);