Created
December 1, 2025 20:39
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Calculate actors' h-index
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| ### All data from https://developer.imdb.com/non-commercial-datasets/ | |
| library(readr) | |
| library(tidyverse) | |
| princ <- read_tsv("title.principals.tsv.gz", | |
| col_select = c("tconst", "nconst", "category")) |> | |
| filter(category %in% c("actor", "actress")) |> | |
| dplyr::select(-category) | |
| ### Now get the ratings of the titles | |
| ratings <- read_tsv("title.ratings.tsv.gz") | |
| princ <- left_join(princ, | |
| ratings) | |
| ### Now get the runtimes | |
| titles <- read_tsv("title.basics.tsv.gz", | |
| col_select = c("tconst", "titleType", "primaryTitle", "runtimeMinutes")) |> | |
| filter(titleType == "movie") |> | |
| dplyr::select(-titleType) |> | |
| mutate(runtimeMinutes = as.numeric(runtimeMinutes)) | |
| princ <- inner_join(princ, titles, | |
| by = join_by(tconst)) | |
| ### Start averaging | |
| h_index = function(cites) { | |
| if(max(cites) == 0) return(0) # assuming this is reasonable | |
| cites = cites[order(cites, decreasing = TRUE)] | |
| tail(which(cites >= seq_along(cites)), 1) | |
| } | |
| avg <- princ |> | |
| filter(!is.na(averageRating)) |> | |
| filter(!is.na(runtimeMinutes)) |> | |
| filter(numVotes >= 1000) |> | |
| group_by(nconst) |> | |
| summarize(quality = sum(runtimeMinutes * averageRating), | |
| h_index = h_index(floor(averageRating))) | |
| avg <- avg |> | |
| arrange(desc(h_index)) | |
| ### Link to names | |
| names <- read_tsv("name.basics.tsv.gz") | |
| res <- left_join(avg |> filter(h_index == 8), | |
| names, | |
| by = join_by(nconst)) |> | |
| arrange(desc(quality)) | |
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