Sarantuyahw02

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title: “Sarantuya/hw2” output: html_document date: “2024-10-10” —

library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

library(tidyr)

netflix_data <- read.csv("Netflix.csv")

tv_shows <- netflix_data %>%
  filter(type == "TV Show")

tv_shows <- tv_shows %>%
  separate_rows(cast, sep = ", ") %>%
  rename(actor = cast)

top_actors <- tv_shows %>%
  group_by(actor) %>%
  count(actor, sort = TRUE) %>%
  top_n(6, wt = n)

print(top_actors)

## # A tibble: 11,444 × 2
## # Groups:   actor [11,444]
##    actor                    n
##    <chr>                <int>
##  1 ""                     210
##  2 "Takahiro Sakurai"      18
##  3 "Yuki Kaji"             16
##  4 "Daisuke Ono"           14
##  5 "David Attenborough"    14
##  6 "Ashleigh Ball"         12
##  7 "Hiroshi Kamiya"        12
##  8 "Jun Fukuyama"          12
##  9 "Tomokazu Sugita"       12
## 10 "Ai Kayano"             11
## # ℹ 11,434 more rows