Overview
This vignette here demonstrates how to manually load data without using the {pixarfilms} package if you wish to explore and analyze this data elsewhere.
Loading within R
If for some reason, you don’t wish to install the package officially, you can also access the data by reading the data directly from GitHub using {readr}.
library(readr)
url <- "https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/pixar_films.csv"
pixar_films <- read_csv(url)
#> Rows: 31 Columns: 6
#> ── Column specification ─────────────────────────────────────────────────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (3): film, film_rating, plot
#> dbl (2): number, run_time
#> date (1): release_date
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
pixar_films
#> # A tibble: 31 × 6
#> number film release_date run_time film_rating plot
#> <dbl> <chr> <date> <dbl> <chr> <chr>
#> 1 1 Toy Story 1995-11-22 81 G "A cowboy doll is profoundly jealous when a new spaceman act…
#> 2 2 A Bug's Life 1998-11-25 95 G "A misfit ant, looking for \"warriors\" to save his colony f…
#> 3 3 Toy Story 2 1999-11-24 92 G "When Woody is stolen by a toy collector, Buzz and his frien…
#> 4 4 Monsters, Inc. 2001-11-02 92 G "In order to power the city, monsters have to scare children…
#> 5 5 Finding Nemo 2003-05-30 100 G "After his son is captured in the Great Barrier Reef and tak…
#> 6 6 The Incredibles 2004-11-05 115 PG "While trying to lead a quiet suburban life, a family of und…
#> 7 7 Cars 2006-06-09 116 G "On the way to the biggest race of his life, a hotshot rooki…
#> 8 8 Ratatouille 2007-06-29 111 G "A rat who can cook makes an unusual alliance with a young k…
#> 9 9 WALL-E 2008-06-27 98 G "A robot who is responsible for cleaning a waste-covered Ear…
#> 10 10 Up 2009-05-29 96 PG "78-year-old Carl Fredricksen travels to South America in hi…
#> 11 11 Toy Story 3 2010-06-18 103 G "The toys are mistakenly delivered to a day-care center inst…
#> 12 12 Cars 2 2011-06-24 106 G "Star race car Lightning McQueen and his pal Mater head over…
#> 13 13 Brave 2012-06-22 93 PG "Determined to make her own path in life, Princess Merida de…
#> 14 14 Monsters University 2013-06-21 104 G "A look at the relationship between Mike Wazowski and James …
#> 15 15 Inside Out 2015-06-19 95 PG "After young Riley is uprooted from her Midwest life and mov…
#> 16 16 The Good Dinosaur 2015-11-25 93 PG "In a world where dinosaurs and humans live side-by-side, an…
#> 17 17 Finding Dory 2016-06-17 97 PG "Friendly but forgetful blue tang Dory begins a search for h…
#> 18 18 Cars 3 2017-06-16 102 G "Lightning McQueen sets out to prove to a new generation of …
#> 19 19 Coco 2017-11-22 105 PG "Aspiring musician Miguel, confronted with his family's ance…
#> 20 20 Incredibles 2 2018-06-15 118 PG "The Incredibles family takes on a new mission which involve…
#> # ℹ 11 more rowsLoading within Python and pandas
Similarly, you can read the data directly
Data links
Here are the URL links you can use using the above methods.
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_people.csv
https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/public_response.csv