https://github.com/mkearney/rmd2jupyter

Convert Rmd (rmarkdown) to ipynb (Jupyter notebook)
https://github.com/mkearney/rmd2jupyter

ipynb-notebook jupyter-notebook python python-notebook r rmarkdown rmd rstats

Last synced: 27 days ago
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Convert Rmd (rmarkdown) to ipynb (Jupyter notebook)

• Host: GitHub
• URL: https://github.com/mkearney/rmd2jupyter
• Owner: mkearney
• Created: 2018-01-08T17:42:08.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-01-08T23:17:16.000Z (almost 7 years ago)
• Last Synced: 2024-09-28T23:43:27.945Z (about 1 month ago)
• Topics: ipynb-notebook, jupyter-notebook, python, python-notebook, r, rmarkdown, rmd, rstats
• Language: R
• Size: 167 KB
• Stars: 23
• Watchers: 3
• Forks: 7
• Open Issues: 1
• Metadata Files:
  • Readme: README.Rmd

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README

        
---

output: github_document

---

```{r setup, include=FALSE}

knitr::opts_chunk$set(echo = TRUE, eval = FALSE)

```

## rmd2jupyter

Convert rmarkdown (.Rmd) files into jupyter notebooks (.ipynb).

### Example

Create a .Rmd file.

```{r rmd}

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))

```

#### Rmd -> html

Screen capture of output.

![](tools/readme/ss_rmd.png)

#### Rmd -> ipynb.

Now convert to an ipython notebook.

```{r}

## 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.

![](tools/readme/ss_ipynb.png)