knitr::opts_chunk$set(echo = TRUE, eval = FALSE)
Convert rmarkdown (.Rmd) files into jupyter notebooks (.ipynb).
Create a .Rmd file.
rmd <- "# Module 1. Working with web APIs ## Gathering publicly available web data The two most common ways to collect publicly available web data are (1) web scraping and (2) interacting with Application Program Interfaces (API). ## Web scraping - A normal workflow goes something like this - Extract website source code, known as Extensible Markup Language (XML). XML is similar to HTML only designed for storing not displaying data. - Although XML trees contain elements, tags, and text, data collected via web scraping is almost always unstructred ### Web scraping in R - I recommend the {rvest} package. \`\`\`{r} library(rvest) ## population statistics population_url <- \"https://en.wikipedia.org/wiki/List_of_countries_by_population_(United_Nations)\" ## read in page pop <- read_html(population_url) \`\`\`" ## save as temp file tmp <- tempfile(fileext = ".Rmd") cat(rmd, file = tmp) ## render html rmarkdown::render(tmp) ## output output browseURL(gsub("\\.Rmd$", ".html", tmp))
Screen capture of output.
Now convert to an ipython notebook.
## install and load rmd2jupyter devtools::install_github("mkearney/rmd2jupyter") library(rmd2jupyter) ## convert rmd2jupyter(tmp) ## open via your jupyter notebook method
Screen capture of jupyter notebook.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.