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?
Your deliverable is the three source files and the R code. If you can, package your assignment solution up into an .Rmd file and publish to rpubs.com. [This will also require finding a way to make your three text files accessible from the web]
load required libraries to perform the lab task
library(XML)
library(RCurl)
library(htmltab)
library(rvest)
library(jsonlite)
library(data.table)
library(plyr)
library('knitr')Get the html file and load data into dataframe
urlhtml <-"https://raw.githubusercontent.com/aliharb/R-Programming/master/books.html"
html <- getURL(urlhtml)
bookshtml <- readHTMLTable(html, header = TRUE)
bookshtmldf <- data.frame(bookshtml)
colnames(bookshtmldf) <- c("Title","Authors","Publisher","Year")
kable(head(bookshtmldf[,1:4]), format = "markdown")| Title | Authors | Publisher | Year |
|---|---|---|---|
| LabVIEW Graphical Programming | Gary Johnson, Richard Jenningz | McGraw-Hill Education | 2006 |
| MATLAB Simulink Stateflow | Anne Angermann, Michael Beuschel, Martin Rau, Ulrich Wohlfarth | Oldenbourg Verlag | 2009 |
| Mechatronics Principles and Applications | Godfrey Onwubolu | Butterworth-Heinemann | 2005 |
Get the json file and load data into R
urljson <-"https://raw.githubusercontent.com/aliharb/R-Programming/master/Books.json"
json<-getURL(urljson)
booksjson<-fromJSON(json)
booksjsondf <- do.call("rbind.fill", lapply(booksjson, as.data.frame))
kable(head(bookshtmldf[,1:4]), format = "markdown")| Title | Authors | Publisher | Year |
|---|---|---|---|
| LabVIEW Graphical Programming | Gary Johnson, Richard Jenningz | McGraw-Hill Education | 2006 |
| MATLAB Simulink Stateflow | Anne Angermann, Michael Beuschel, Martin Rau, Ulrich Wohlfarth | Oldenbourg Verlag | 2009 |
| Mechatronics Principles and Applications | Godfrey Onwubolu | Butterworth-Heinemann | 2005 |
get the xml file and load data into dataframe
urlxml <- "https://raw.githubusercontent.com/aliharb/R-Programming/master/books.xml"
xml <- getURL(urlxml)
booksxml <- xmlParse(xml)
booksxmldf = xmlToDataFrame(booksxml)
colnames(booksxmldf) <- c("Title","Authors","Publisher","Year")
kable(head(booksxmldf[,1:4]), format = "markdown")| Title | Authors | Publisher | Year |
|---|---|---|---|
| LabVIEW Graphical Programming | Gary Johnson, Richard Jenningz | McGraw Hill Education | 2006 |
| MATLAB Simulink Stateflow | Anne Angermann, Michael Beuschel, Martin Rau, Ulrich Wohlfarth | Oldenbourg Verlag | 2009 |
| Mechatronics Principles and Applications | Godfrey Onwubolu | Butterworth Heinemann | 2005 |
Even though we get the data using different packages from different files type. But, when these data are loaded into data frames they become identical.