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# Question 5
# install.packages("robotstxt")
library(robotstxt)
## Warning: package 'robotstxt' was built under R version 4.3.3
paths_allowed("https://www.imdb.com/title/tt7235466/fullcredits?ref_=tt_cl_sm")
## 
 www.imdb.com
## [1] TRUE
# Question 6
# install.packages("tidyverse")
library(rvest)
imdb <- read_html("https://www.imdb.com/title/tt7235466/fullcredits?ref_=tt_cl_sm")
tables <- html_elements(imdb,"table")
tibble_list <- html_table(tables[3])
Tibble <- tibble_list[[1]]  
str(Tibble)
## tibble [3,152 × 4] (S3: tbl_df/tbl/data.frame)
##  $ X1: logi [1:3152] NA NA NA NA NA NA ...
##  $ X2: chr [1:3152] "" "Angela Bassett" "" "Peter Krause" ...
##  $ X3: chr [1:3152] "" "..." "" "..." ...
##  $ X4: chr [1:3152] "" "Athena Grant\n         / ...  \n                  115 episodes, 2018-2025" "" "Bobby Nash\n                  115 episodes, 2018-2025" ...
nrow(Tibble)
## [1] 3152
ncol(Tibble)
## [1] 4
# Question 7

Tibble <- tibble_list[[1]]  
Tibble_subset <- Tibble[, c(2, 4), drop = FALSE]
str(Tibble_subset)
## tibble [3,152 × 2] (S3: tbl_df/tbl/data.frame)
##  $ X2: chr [1:3152] "" "Angela Bassett" "" "Peter Krause" ...
##  $ X4: chr [1:3152] "" "Athena Grant\n         / ...  \n                  115 episodes, 2018-2025" "" "Bobby Nash\n                  115 episodes, 2018-2025" ...
# After looking through the data set, I found 1576 obs. of 2 variables
# Question 8

colnames(Tibble) <- c("v1","v2")
# ncol(Tibble) <- c("v1","v2") DIDN'T WORK
# rownames(Tibble) <- c("v1","v2") DIDN'T WORK
names(Tibble) <- c("v1","v2")
## Warning: The `value` argument of `names<-()` must have the same length as `x` as of
## tibble 3.0.0.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
## Warning: The `value` argument of `names<-()` can't be empty as of tibble 3.0.0.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
# Question 9
# Inspect webpage
CSS_scraping <- html_element(imdb, "#fullcredits_content > table:nth-child(38)")
Table1 <- html_table(CSS_scraping)
nrow(Table1)
## [1] 196

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