These datasets are used internally to check the optional filter parameters for certain functions (see search_query or the dynamic lists like shows_popular). They are unlikely to change often and are therefore included as package datasets.
Format
Every dataset is a tibble(). The following list includes the dataset topic with a link to the API documentation, a short description and a list of variables with example values:
Genres: Genres for shows and movies (with their two-letter codes) trakt.tv knows.
3 Variables:
name("Action"),slug("action"),type("movies")
Languages: Languages (and two-letter codes) trakt.tv knows.
3 Variables:
name("Arabic"),code("ar"),type("movies")
Networks: TV networks trakt.tv knows.
2 Variables:
name("TBS"),name_clean("tbs") (lower-case, no trailing whitespaces)
Countries: Country names (and two-letter codes).
3 Variables:
name("Belarus"),code("by"),type("movies")
Certifications: TV and movie certifications (e.g. "PG-13" and the likes).
5 Variables:
country("us" only),name("TV-PG"),slug("tv-pg"),description("Parental Guidance Suggested"),type("shows")
An object of class tbl_df (inherits from tbl, data.frame) with 64 rows and 3 columns.
An object of class tbl_df (inherits from tbl, data.frame) with 297 rows and 3 columns.
An object of class tbl_df (inherits from tbl, data.frame) with 4526 rows and 5 columns.
An object of class tbl_df (inherits from tbl, data.frame) with 377 rows and 3 columns.
An object of class tbl_df (inherits from tbl, data.frame) with 12 rows and 5 columns.
Details
The datasets are prefixed with trakt_ purely to avoid confusion or masking for
filter arguments of the same name.
Examples
head(trakt_genres)
#> # A tibble: 6 × 3
#> name slug type
#> <chr> <chr> <chr>
#> 1 Action action movies
#> 2 Action action shows
#> 3 Adventure adventure movies
#> 4 Adventure adventure shows
#> 5 Animation animation movies
#> 6 Animation animation shows
head(trakt_languages)
#> # A tibble: 6 × 3
#> name code type
#> <chr> <chr> <chr>
#> 1 Afar aa movies
#> 2 Afar aa shows
#> 3 Abkhazian ab movies
#> 4 Abkhazian ab shows
#> 5 Avestan ae movies
#> 6 Afrikaans af movies
head(trakt_networks)
#> # A tibble: 6 × 5
#> name name_clean country trakt tmdb
#> <chr> <chr> <chr> <int> <int>
#> 1 "" "" NA 869 1446
#> 2 " 10 Play" "10 play" au 1287 3466
#> 3 " VTV " "vtv" vn 481 2863
#> 4 "&CAST!!!" "&cast!!!" jp 4453 8051
#> 5 "&TV" "&tv" in 1489 1566
#> 6 "#0" "#0" es 79 2140
head(trakt_countries)
#> # A tibble: 6 × 3
#> name code type
#> <chr> <chr> <chr>
#> 1 Andorra ad movies
#> 2 Andorra ad shows
#> 3 United Arab Emirates ae movies
#> 4 United Arab Emirates ae shows
#> 5 Afghanistan af movies
#> 6 Afghanistan af shows
trakt_certifications
#> # A tibble: 12 × 5
#> country name slug description type
#> <chr> <chr> <chr> <chr> <chr>
#> 1 us G g All Ages movi…
#> 2 us PG pg Parental Guidance Suggested movi…
#> 3 us PG-13 pg-13 Parents Strongly Cautioned - Ages 13+ Recommen… movi…
#> 4 us R r Mature Audiences - Ages 17+ Recommended movi…
#> 5 us Not Rated nr Not Rated movi…
#> 6 us TV-Y tv-y All Children shows
#> 7 us TV-Y7 tv-y7 Older Children - Ages 7+ Recommended shows
#> 8 us TV-G tv-g All Ages shows
#> 9 us TV-PG tv-pg Parental Guidance Suggested shows
#> 10 us TV-14 tv-14 Parents Strongly Cautioned - Ages 14+ Recommen… shows
#> 11 us TV-MA tv-ma Mature Audiences - Ages 17+ Recommended shows
#> 12 us Not Rated nr Not Rated shows