The main part of this exercise was writing the books.* files by hand. See my

library(XML)
## Warning: package 'XML' was built under R version 3.4.1
library(knitr)
library(jsonlite)
library(dplyr)
## Warning: package 'dplyr' was built under R version 3.4.2
## 
## 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(rvest)
## Loading required package: xml2
## 
## Attaching package: 'rvest'
## The following object is masked from 'package:XML':
## 
##     xml
books <- read_html("/Users/kailukowiak/OneDrive - CUNY School of Professional Studies/DATA 607 Repository/Assigments/Week_7/books.html")
books1 <- books %>% html_table() %>% as.data.frame() 
books1 %>% kable()
ID Title Authors Subject Publisher PublicationYear Language
1 Elements of Statistical Learning Trevor Hastie, Robert Tibshirani, Jerome Friedman Machine Learning Springer 2009 R
2 R for Data Science Hadley Wickham Data Science Oreilly 2016 R
3 Building Machine Learning Systems With Python Willi Richert, Luis Pedro Coelo Machine Learning Packt 2016 Python 
doc <- "/Users/kailukowiak/OneDrive - CUNY School of Professional Studies/DATA 607 Repository/Assigments/Week_7/books.xml"
book = xmlParse(doc)
books2 <- xmlToDataFrame(book)
kable(books2)
ID Title Authors Subject Publisher Year Language
01 Elements of Statistical Learning Trevor Hastie, Robert Tibshirani, Jerome Friedman Machine Learning Springer 2009 R
02 R for Data Science Hadley Wickham Data Science Oreilly 2016 R
03 Building Machine Learning Systems With Python Willi Richert, Luis Pedro Coelo Machine Learning Packt 2016 Python 
url <- "/Users/kailukowiak/OneDrive - CUNY School of Professional Studies/DATA 607 Repository/Assigments/Week_7/books.json"
books3 = fromJSON(url)
kable(books3)
ID Title Authors Subject Publisher Year Language
01 Elements of Statistical Learning Trevor Hastie, Robert Tibshirani, Jerome Friedman Machine Learning Springer 2009 R
02 R for Data Science Hadley Wickham Data Science Oreilly 2016 R
03 Building Machine Learning Systems With Python Willi Richert, Luis Pedro Coelo Machine Learning Packt 2016 Python 
identical(books3, books2)
## [1] FALSE

They’re not quite identical, but pretty close.