Netflix Actors Analysis

library(tidyverse)

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# Read dataset
Netflix <- read_csv("Netflix.csv")

## Rows: 6234 Columns: 12
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (10): type, title, director, cast, country, date_added, rating, duration...
## dbl  (2): show_id, release_year
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

# Transform data
Netflix_Actor <- Netflix %>%
  filter(type == "TV Show") %>%
  separate_rows(cast, sep = ",\\s*") %>%
  drop_na(cast) %>%
  rename(actor = cast)

# Find top 6 actors
Top6 <- Netflix_Actor %>%
  count(actor, sort = TRUE) %>%
  slice_head(n = 6)

Top6

## # A tibble: 6 × 2
##   actor                  n
##   <chr>              <int>
## 1 Takahiro Sakurai      18
## 2 Yuki Kaji             16
## 3 Daisuke Ono           14
## 4 David Attenborough    14
## 5 Ashleigh Ball         12
## 6 Hiroshi Kamiya        12

# Save transformed data
write_csv(Netflix_Actor, "Netflix_Actor.csv")

Netflix Actors Analysis

Minjin