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pixarfilms

R data package to explore Pixar films, the people, and reception data

This package contains nine data sets provided mostly in part by Wikipedia.

Here are a few of them:

  • pixar_films - released and upcoming films
  • pixar_people - main people involved in creating films
  • genres - movie genres for each film
  • box_office - box office reception and budget information
  • public_response - critical and public response
  • academy - academy awards and nominations

Installation

Install pixarfilms from CRAN:

install.packages("pixarfilms")

Or you can install the development version of pixarfilms from GitHub with:

remotes::install_github("erictleung/pixarfilms")

Example 

library(pixarfilms)
pixar_films
#> # A tibble: 31 × 6
#>    number film            release_date run_time film_rating plot                
#>     <int> <chr>           <date>          <dbl> <chr>       <chr>               
#>  1      1 Toy Story       1995-11-22         81 G           "A cowboy doll is p…
#>  2      2 A Bug's Life    1998-11-25         95 G           "A misfit ant, look…
#>  3      3 Toy Story 2     1999-11-24         92 G           "When Woody is stol…
#>  4      4 Monsters, Inc.  2001-11-02         92 G           "In order to power …
#>  5      5 Finding Nemo    2003-05-30        100 G           "After his son is c…
#>  6      6 The Incredibles 2004-11-05        115 PG          "While trying to le…
#>  7      7 Cars            2006-06-09        116 G           "On the way to the …
#>  8      8 Ratatouille     2007-06-29        111 G           "A rat who can cook…
#>  9      9 WALL-E          2008-06-27         98 G           "A robot who is res…
#> 10     10 Up              2009-05-29         96 PG          "78-year-old Carl F…
#> # ℹ 21 more rows

Documentation

You can find information about the data sets and more here. The official CRAN release page can be found here. And last, a list of vignettes showcasing some analyses you can do with this package can be found here.

Data

This data here within is not constrained to exploring just within R.

Here are direct links to each data set.

https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/academy.csv
https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/box_office.csv
https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/genres.csv
https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/pixar_films.csv
https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/pixar_franchises.csv
https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/pixar_people.csv
https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/pixar_rankings.csv
https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/public_response.csv
https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/themes_vox.csv

Below is some code to import the data into Python.

import pandas as pd

pixar_films = pd.read_csv("https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/pixar_films.csv")
academy = pd.read_csv("https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/academy.csv")
box_office = pd.read_csv("https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/box_office.csv")
genres = pd.read_csv("https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/genres.csv")
pixar_franchises = pd.read_csv("https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/pixar_franchises.csv")
pixar_people = pd.read_csv("https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/pixar_people.csv")
pixar_rankings = pd.read_csv("https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/pixar_rankings.csv")
public_response = pd.read_csv("https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/public_response.csv")
themes_vox = pd.read_csv("https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/themes_vox.csv")

You can also immediately explore the data using here using SQL, thanks to Datasette.

Feedback

If you have any feedback or suggestions on other data that can be added, please file an issue here.

Code of Conduct

Please note that the {pixarfilms} project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

Acknowledgments