Starwarsdb Save

Relational Data from the Star Wars API for Learning and Teaching

Project README

starwarsdb

CRAN
status R-CMD-check

starwarsdb provides data from the Star Wars API as a set of relational tables, or as an in-package DuckDB database.

Formats: Metadata, Local Tables, Remote Tables, Data Model (dm), API (rwars)

Installation

You can install starwarsdb from CRAN:

install.packages("starwarsdb")

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

# install.packages("remotes")

remotes::install_github("gadenbuie/starwarsdb")

# For remotes <= 2.1.0
remotes::install_github("gadenbuie/starwarsdb@main")

Star Wars Data

All of the tables are available when you load starwarsdb

library(dplyr)
library(starwarsdb)

or via

data(package = "starwarsdb")

The schema table includes information about the tables that were sourced from SWAPI.

schema
#> # A tibble: 5 × 4
#>   endpoint endpoint_title endpoint_description                    properties
#>   <chr>    <chr>          <chr>                                   <list>    
#> 1 films    Film           A Star Wars film                        <tibble>  
#> 2 vehicles Starship       A Starship or vehicle                   <gropd_df>
#> 3 species  People         A species within the Star Wars universe <tibble>  
#> 4 planets  Planet         A planet.                               <tibble>  
#> 5 people   People         A person within the Star Wars universe  <tibble>
schema %>% 
  filter(endpoint == "films") %>% 
  pull(properties)
#> [[1]]
#> # A tibble: 14 × 4
#>    variable      type    description                                      format
#>    <chr>         <chr>   <chr>                                            <chr> 
#>  1 starships     array   The starship resources featured within this fil… <NA>  
#>  2 edited        string  the ISO 8601 date format of the time that this … date-…
#>  3 planets       array   The planet resources featured within this film.  <NA>  
#>  4 producer      string  The producer(s) of this film.                    <NA>  
#>  5 title         string  The title of this film.                          <NA>  
#>  6 url           string  The url of this resource                         uri   
#>  7 release_date  string  The release date at original creator country.    date  
#>  8 vehicles      array   The vehicle resources featured within this film. <NA>  
#>  9 episode_id    integer The episode number of this film.                 <NA>  
#> 10 director      string  The director of this film.                       <NA>  
#> 11 created       string  The ISO 8601 date format of the time that this … date-…
#> 12 opening_crawl string  The opening crawl text at the beginning of this… <NA>  
#> 13 characters    array   The people resources featured within this film.  <NA>  
#> 14 species       array   The species resources featured within this film. <NA>

Local Tables

Ask questions, like who flew an X-Wing?

x_wing_pilots <- pilots %>% filter(vehicle == "X-wing")
x_wing_pilots
#> # A tibble: 4 × 2
#>   pilot             vehicle
#>   <chr>             <chr>  
#> 1 Luke Skywalker    X-wing 
#> 2 Biggs Darklighter X-wing 
#> 3 Wedge Antilles    X-wing 
#> 4 Jek Tono Porkins  X-wing

people %>% semi_join(x_wing_pilots, by = c(name = "pilot"))
#> # A tibble: 4 × 11
#>   name       height  mass hair_…¹ skin_…² eye_c…³ birth…⁴ gender homew…⁵ species
#>   <chr>       <dbl> <dbl> <chr>   <chr>   <chr>     <dbl> <chr>  <chr>   <chr>  
#> 1 Luke Skyw…    172    77 blond   fair    blue         19 mascu… Tatooi… Human  
#> 2 Biggs Dar…    183    84 black   light   brown        24 mascu… Tatooi… Human  
#> 3 Wedge Ant…    170    77 brown   fair    hazel        21 mascu… Corell… Human  
#> 4 Jek Tono …    180   110 brown   fair    blue         NA mascu… Bestin… Human  
#> # … with 1 more variable: sex <chr>, and abbreviated variable names
#> #   ¹​hair_color, ²​skin_color, ³​eye_color, ⁴​birth_year, ⁵​homeworld

Remote Tables

starwarsdb also includes the entire data set as a DuckDB database, appropriate for teaching and practicing remote database access with dbplyr.

con <- starwars_connect()

people_rmt <- tbl(con, "people")
pilots_rmt <- tbl(con, "pilots")
pilots_rmt
#> # Source:   table<pilots> [?? x 2]
#> # Database: DuckDB 0.6.1 [root@Darwin 22.1.0:R 4.2.2/:memory:]
#>    pilot             vehicle          
#>    <chr>             <chr>            
#>  1 Chewbacca         Millennium Falcon
#>  2 Han Solo          Millennium Falcon
#>  3 Lando Calrissian  Millennium Falcon
#>  4 Nien Nunb         Millennium Falcon
#>  5 Luke Skywalker    X-wing           
#>  6 Biggs Darklighter X-wing           
#>  7 Wedge Antilles    X-wing           
#>  8 Jek Tono Porkins  X-wing           
#>  9 Darth Vader       TIE Advanced x1  
#> 10 Boba Fett         Slave 1          
#> # … with more rows

x_wing_pilots <- pilots_rmt %>% filter(vehicle == "X-wing")
x_wing_pilots
#> # Source:   SQL [4 x 2]
#> # Database: DuckDB 0.6.1 [root@Darwin 22.1.0:R 4.2.2/:memory:]
#>   pilot             vehicle
#>   <chr>             <chr>  
#> 1 Luke Skywalker    X-wing 
#> 2 Biggs Darklighter X-wing 
#> 3 Wedge Antilles    X-wing 
#> 4 Jek Tono Porkins  X-wing

people_rmt %>% semi_join(x_wing_pilots, by = c(name = "pilot"))
#> # Source:   SQL [4 x 11]
#> # Database: DuckDB 0.6.1 [root@Darwin 22.1.0:R 4.2.2/:memory:]
#>   name       height  mass hair_…¹ skin_…² eye_c…³ birth…⁴ gender homew…⁵ species
#>   <chr>       <dbl> <dbl> <chr>   <chr>   <chr>     <dbl> <chr>  <chr>   <chr>  
#> 1 Luke Skyw…    172    77 blond   fair    blue         19 mascu… Tatooi… Human  
#> 2 Biggs Dar…    183    84 black   light   brown        24 mascu… Tatooi… Human  
#> 3 Wedge Ant…    170    77 brown   fair    hazel        21 mascu… Corell… Human  
#> 4 Jek Tono …    180   110 brown   fair    blue         NA mascu… Bestin… Human  
#> # … with 1 more variable: sex <chr>, and abbreviated variable names
#> #   ¹​hair_color, ²​skin_color, ³​eye_color, ⁴​birth_year, ⁵​homeworld

DM Tables

Finally, starwarsdb provides a function that returns a pre-configured dm object. The dm package wraps local data frames into a complete relational data model.

library(dm, warn.conflicts = FALSE)

sw_dm <- starwars_dm()
sw_dm
#> ── Metadata ────────────────────────────────────────────────────────────────────
#> Tables: `films`, `people`, `planets`, `species`, `vehicles`, … (9 total)
#> Columns: 58
#> Primary keys: 5
#> Foreign keys: 10

sw_dm %>%
  dm_select_tbl(pilots, people) %>%
  dm_filter(pilots = vehicle == "X-wing") %>%
  dm_zoom_to("people") %>%
  semi_join(pilots)
#> # Zoomed table: people
#> # A tibble:     4 × 11
#>   name       height  mass hair_…¹ skin_…² eye_c…³ birth…⁴ gender homew…⁵ species
#>   <chr>       <dbl> <dbl> <chr>   <chr>   <chr>     <dbl> <chr>  <chr>   <chr>  
#> 1 Luke Skyw…    172    77 blond   fair    blue         19 mascu… Tatooi… Human  
#> 2 Biggs Dar…    183    84 black   light   brown        24 mascu… Tatooi… Human  
#> 3 Wedge Ant…    170    77 brown   fair    hazel        21 mascu… Corell… Human  
#> 4 Jek Tono …    180   110 brown   fair    blue         NA mascu… Bestin… Human  
#> # … with 1 more variable: sex <chr>, and abbreviated variable names
#> #   ¹​hair_color, ²​skin_color, ³​eye_color, ⁴​birth_year, ⁵​homeworld
dm_draw(sw_dm)

API

For API access from R, check out the rwars package by Oliver Keyes. Big thanks to rwars for making it easy to access the Star Wars API!

Open Source Agenda is not affiliated with "Starwarsdb" Project. README Source: gadenbuie/starwarsdb

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