Load data from the CSV file

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

Load the tidyr and dplyr libraries

library(tidyr)
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

Transform the data by splitting actors into multiple rows

df <- df %>%
  separate_rows(cast, sep = ", ") %>%
  dplyr::rename(actor = cast)

Count the number of appearances for each actor

top_actors <- df %>%
  group_by(actor) %>%
  summarise(appearances = n()) %>%
  arrange(desc(appearances)) %>%
  head(6)

Select the top six actors

Display the top actors

print(top_actors)
## # A tibble: 6 × 2
##   actor              appearances
##   <chr>                    <int>
## 1 ""                         570
## 2 "Anupam Kher"               33
## 3 "Shah Rukh Khan"            30
## 4 "Naseeruddin Shah"          27
## 5 "Om Puri"                   27
## 6 "Akshay Kumar"              26