A sample of 1,000 highly-rated IMDB movies (rating >= 7.0, >= 1,000 votes)
released between 1970 and 2024. The genres column is comma-delimited
and suitable for use as the field argument to cooccurrence.
Format
A data frame with 1,000 rows and 7 variables:
- tconst
IMDB title identifier (e.g.
"tt0068646").- primaryTitle
Movie title.
- startYear
Release year (integer).
- genres
Comma-separated genre labels (e.g.
"Crime,Drama").- decade
Release decade as a character string (e.g.
"1970s").- averageRating
IMDB average user rating.
- numVotes
Number of IMDB user votes.
Examples
head(movies)
#> tconst primaryTitle startYear
#> 1 tt0118117 The War at Home 1996
#> 2 tt10534996 Josep 2020
#> 3 tt4686844 The Death of Stalin 2017
#> 4 tt0089957 Samaya obayatelnaya i privlekatelnaya 1985
#> 5 tt3469964 Blind Massage 2014
#> 6 tt7647198 Love and Shukla 2017
#> genres decade averageRating numVotes
#> 1 Drama 1990s 7.0 2733
#> 2 Animation,Biography,Drama 2020s 7.4 2340
#> 3 Comedy,Drama,History 2010s 7.3 126237
#> 4 Comedy,Romance 1980s 7.4 2521
#> 5 Drama 2010s 7.2 1804
#> 6 Comedy,Drama,Romance 2010s 7.2 1234
cooccurrence(movies, field = "genres", sep = ",", similarity = "jaccard")
#> # cooccurrence: 22 nodes, 129 edges | density: 0.5584 | mean degree: 11.7273 | 1000 transactions
#> # similarity: jaccard | counting: full
#> # possible edges: 231 | isolates: 0
#> # top nodes: Drama(deg=20,str=1.178), Comedy(deg=19,str=0.9227), Action(deg=17,str=1.07), Romance(deg=17,str=0.5551), Adventure(deg=15,str=0.9235)
#> from to weight count
#> Adventure Animation 0.2846715 39
#> Action Crime 0.2369478 59
#> Comedy Drama 0.2111554 159
#> Action Adventure 0.2075472 44
#> Biography Documentary 0.2037037 44
#> Drama Romance 0.1975867 131
#> Crime Thriller 0.1745283 37
#> Comedy Romance 0.1680000 63
#> Documentary Music 0.1590909 28
#> Biography History 0.1564626 23
#> # ... 119 more edges