Pick three of your favorite books on one of your favorite subjects. At least one of the books should have more than one author. For each book, include the title, authors, and two or three other attributes that you find interesting. Take the information that you’ve selected about these three books, and separately create three files which store the book’s information in HTML (using an html table), XML, and JSON formats (e.g. “books.html”, “books.xml”, and “books.json”). To help you better understand the different file structures, I’d prefer that you create each of these files “by hand” unless you’re already very comfortable with the file formats.

Write R code, using your packages of choice, to load the information from each of the three sources into separate R data frames. Are the three data frames identical?

The three dataframe is slightly different on format. For example, Json file will add “book.” on all column. the as.data.frame in XML will generate in all cell value which will take further step to remove

Loading the packages

loading the HTML table from github

html_file <- "https://raw.githubusercontent.com/tonyCUNY/tonyCUNY/main/Book.html"
html <- read_html(html_file)

table <- html |>  
          html_nodes("table") |> 
          html_table(fill = TRUE)

df <- as.data.frame(table)

df
##                                                                       Title
## 1 The Fellowship Of The Ring: Being the First Part of The Lord of the Rings
## 2                                     Harry Potter and the Sorcerer's Stone
## 3                                                     Corporate Finance ISE
##            Author        ISBN.13 Price Item.Weight
## 1  J.R.R. Tolkien 978-0395489314 20.99        1.30
## 2    J.K. Rowling 978-0590353403 15.08        1.55
## 3 Stephen A. Ross 978-1265533199 70.00        3.49

loading the xml table from github

xmlurl <- getURL("https://raw.githubusercontent.com/tonyCUNY/tonyCUNY/main/book5.xml")
results <- xmlParse(xmlurl)
df2 <- xmlToDataFrame(results)
df3 <- as.data.frame(df2)
# \n shown in all cell value
# remove it by the following code:
df3[] <- lapply(df3, function(x) gsub("\n", "", x))
df3
##                                                                             Title
## 1     The Fellowship Of The Ring: Being the First Part of The Lord of the Rings  
## 2                                         Harry Potter and the Sorcerer's Stone  
## 3                                                         Corporate Finance ISE  
##                  Author               Isbn13       Price ItemWeight
## 1      J.R.R. Tolkien       978-0395489314       20.99        1.3  
## 2        J.K. Rowling       978-0590353403       15.08       1.55  
## 3     Stephen A. Ross       978-1265533199       70.00       3.49

loading the json table from github

json_file <- "https://raw.githubusercontent.com/tonyCUNY/tonyCUNY/main/book6.json"
json_data <- fromJSON(json_file)
df4 <- as.data.frame(json_data)
df4
##                                                                 books.Title
## 1 The Fellowship Of The Ring: Being the First Part of The Lord of the Rings
## 2                                     Harry Potter and the Sorcerer's Stone
## 3                                                     Corporate Finance ISE
##      books.Author  books.ISBN.13 books.Price books.ItemWeight
## 1  J.R.R. Tolkien 978-0395489314       20.99              1.3
## 2    J.K. Rowling 978-0590353403       15.08             1.55
## 3 Stephen A. Ross 978-1265533199          70             3.49