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”).
library(RCurl)
library(htmltab)
library(XML)
library(jsonlite)
library(knitr)htmlfile <- "https://raw.githubusercontent.com/L-Velasco/Fall16_IS607/master/books.html"
XMLfile <- getURL("https://raw.githubusercontent.com/L-Velasco/Fall16_IS607/master/books.xml")
jsonfile <- "https://raw.githubusercontent.com/L-Velasco/Fall16_IS607/master/books.json"html_df <- data.frame(htmltab(htmlfile))
XML_df <- xmlToDataFrame(XMLfile)
json_df <- data.frame(fromJSON(jsonfile))kable(html_df)| Title | Author | Date | Publisher | Pages | Material | Condition | |
|---|---|---|---|---|---|---|---|
| 2 | Automated Data Collection with R | Simon Munzert, Christian Rubba, Peter Meibner, Dominic Nyhuis | 2015 | Wiley | 449 | Hard-bound | New |
| 3 | R for Everyone | Jared P. Lander | 2014 | Addison-Wesley | 435 | Paperback | Used |
| 4 | Data Science for Business | Foster Provost, Tom Fawcett | 2013 | O’Reilly | 369 | Paperback | New |
kable(XML_df)| Title | Author | Date | Publisher | Pages | Material | Condition |
|---|---|---|---|---|---|---|
| Automated Data Collection with R | Simon Munzert, Christian Rubba, Peter Meibner, Dominic Nyhuis | 2015 | Wiley | 449 | Hard-bound | New |
| R for Everyone | Jared P. Lander | 2014 | Addison-Wesley | 435 | Paperback | Used |
| Data Science for Business | Foster Provost, Tom Fawcett | 2013 | O’Reilly | 369 | Paperback | New |
kable(json_df)| BOOKS.BOOK.Title | BOOKS.BOOK.Author | BOOKS.BOOK.Date | BOOKS.BOOK.Publisher | BOOKS.BOOK.Pages | BOOKS.BOOK.Material | BOOKS.BOOK.Condition |
|---|---|---|---|---|---|---|
| Automated Data Collection with R | Simon Munzert, Christian Rubba, Peter Meibner, Dominic Nyhuis | 2015 | Wiley | 449 | Hard-bound | New |
| R for Everyone | Jared P. Lander | 2014 | Addison-Wesley | 435 | Paperback | Used |
| Data Science for Business | Foster Provost, Tom Fawcett | 2013 | O’Reilly | 369 | Paperback | New |
The class and contents are looking almost identical (except for column names), but inspecting the structures below, they do not seem identical.
str(html_df)## 'data.frame': 3 obs. of 7 variables:
## $ Title : chr "Automated Data Collection with R" "R for Everyone" "Data Science for Business"
## $ Author : chr "Simon Munzert, Christian Rubba, Peter Meibner, Dominic Nyhuis" "Jared P. Lander" "Foster Provost, Tom Fawcett"
## $ Date : chr "2015" "2014" "2013"
## $ Publisher: chr "Wiley" "Addison-Wesley" "O'Reilly"
## $ Pages : chr "449" "435" "369"
## $ Material : chr "Hard-bound" "Paperback" "Paperback"
## $ Condition: chr "New" "Used" "New"str(XML_df)## 'data.frame': 3 obs. of 7 variables:
## $ Title : Factor w/ 3 levels "Automated Data Collection with R",..: 1 3 2
## $ Author : Factor w/ 3 levels "Foster Provost, Tom Fawcett",..: 3 2 1
## $ Date : Factor w/ 3 levels "2013","2014",..: 3 2 1
## $ Publisher: Factor w/ 3 levels "Addison-Wesley",..: 3 1 2
## $ Pages : Factor w/ 3 levels "369","435","449": 3 2 1
## $ Material : Factor w/ 2 levels "Hard-bound","Paperback": 1 2 2
## $ Condition: Factor w/ 2 levels "New","Used": 1 2 1str(json_df)## 'data.frame': 3 obs. of 7 variables:
## $ BOOKS.BOOK.Title : chr "Automated Data Collection with R" "R for Everyone" "Data Science for Business"
## $ BOOKS.BOOK.Author : chr "Simon Munzert, Christian Rubba, Peter Meibner, Dominic Nyhuis" "Jared P. Lander" "Foster Provost, Tom Fawcett"
## $ BOOKS.BOOK.Date : int 2015 2014 2013
## $ BOOKS.BOOK.Publisher: chr "Wiley" "Addison-Wesley" "O'Reilly"
## $ BOOKS.BOOK.Pages : int 449 435 369
## $ BOOKS.BOOK.Material : chr "Hard-bound" "Paperback" "Paperback"
## $ BOOKS.BOOK.Condition: chr "New" "Used" "New"