RBootcamp

Añadiendo modificaciones. The R-Bootcamp is meant to be a gentle and gradual introduction to manipulating and visualizing data in R using the tidyverse suite of packages. Basic programming concepts in R (functions, databases, and control structures) are also covered. Topics covered include:

The magic of ggplot2.
More ggplot2 using factors.
Basic Data Manipulation using dplyr.
Tidy Data: Why and How using tidyr.
Simple Statistics using broom.

It is currently available at http://r-bootcamp.netlify.com

Ines' starter course notes are below for reference

This is a starter repo based on the course framework I developed for my spaCy course. The front-end is powered by Gatsby and Reveal.js and the back-end code execution uses Binder 💖

This repo could use some better code examples. Also, if you have experience with R, feel free to suggest improvements to the test logic and template. It all works as expected, but there might be ways to make it more elegant.

✅ Quickstart

Import this repo, install it and make sure the app is running locally.
Customize the meta.json and binder/install.R.
Build a Binder from the binder branch of this repo.
Add content (chapters, exercises and slides) and optionally add separate content license.
Customize the UI theme in theme.sass and update images in static as needed.
Deploy the app, e.g. to Netlify.

Running the app

To start the local development server, install Gatsby and then all other dependencies. This should serve up the app on localhost:8000.

npm install -g gatsby-cli  # Install Gatsby globally
npm install                # Install dependencies
npm run dev                # Run the development server

🎨 Customization

The app separates its source and content – so you usually shouldn't have to dig into the JavaScript source to change things. The following points of customization are available:

Location	Description
`meta.json`	General config settings, title, description etc.
`theme.sass`	Color theme.
`binder/install.R`	Packages to install.
`binder/runtime.txt`	YYYY-MM-DD snapshot at MRAN that will be used for installing libraries. See here for details.
`chapters`	The chapters, one Markdown file per chapter.
`slides`	The slides, one Markdown file per slide deck.
`static`	Static assets like images, will be copied to the root.

`meta.json`

The following meta settings are available. Note that you have to re-start Gatsby to see the changes if you're editing it while the server is running.

Setting	Description
`courseId`	Unique ID of the course. Will be used when saving completed exercises to the browser's local storage.
`title`	The title of the course.
`slogan`	Course slogan, displayed in the page title on the front page.
`description`	Course description. Used for site meta and in footer.
`bio`	Author bio. Used in the footer.
`siteUrl`	URL of the deployed site (without trailing slash).
`twitter`	Author twitter handle, used in Twitter cards meta.
`fonts`	Google Fonts to load. Should be the font part of the URL in the embed string, e.g. `Lato:400,400i,700,700i`.
`testTemplate`	Template used to validate the answers. `${solution}` will be replaced with the user code and `${test}` with the contents of the test file.
`juniper.repo`	Repo to build on Binder in `user/repo` format. Usually the same as this repo.
`juniper.branch`	Branch to build. Ideally not `master`, so the image is not rebuilt every time you push.
`juniper.lang`	Code language for syntax highlighting.
`juniper.kernelType`	The name of the kernel to use.
`juniper.debug`	Logs additional debugging info to the console.
`showProfileImage`	Whether to show the profile image in the footer. If `true`, a file `static/profile.jpg` needs to be available.
`footerLinks`	List of objects with `"text"` and `"url"` to display as links in the footer.
`theme`	Currently only used for the progressive web app, e.g. as the theme color on mobile. For the UI theme, edit `theme.sass`.

Static assets

All files added to /static will become available at the root of the deployed site. So /static/image.jpg can be referenced in your course as /image.jpg. The following assets need to be available and can be customized:

File	Description
`icon.png`	Custom favicon.
`logo.svg`	The course logo.
`profile.jpg`	Photo or profile image.
`social.jpg`	Social image, displayed in Twitter and Facebook cards.
`icon_check.svg`	"Check" icon displayed on "Mark as completed" button.
`icon_slides.svg`	Icon displayed in the corner of a slides exercise.

✏️ Content

File formats

Chapters

Chapters are placed in /chapters and are Markdown files consisting of <exercise> components. They'll be turned into pages, e.g. /chapter1. In their frontmatter block at the top of the file, they need to specify type: chapter, as well as the following meta:

---
title: The chapter title
description: The chapter description
prev: /chapter1 # exact path to previous chapter or null to not show a link
next: /chapter3 # exact path to next chapter or null to not show a link
id: 2 # unique identifier for chapter
type: chapter # important: this creates a standalone page from the chapter
---

Slides

Slides are placed in /slides and are markdown files consisting of slide content, separated by ---. They need to specify the following frontmatter block at the top of the file:

---
type: slides
---

The first and last slide use a special layout and will display the headline in the center of the slide. Speaker notes (in this case, the script) can be added at the end of a slide, prefixed by Notes:. They'll then be shown on the right next to the slides. Here's an example slides file:

---
type: slides
---

# Processing pipelines

Notes: This is a slide deck about processing pipelines.

---

# Next slide

- Some bullet points here
- And another bullet point

<img src="/image.jpg" alt="An image located in /static" />

Custom Elements

When using custom elements, make sure to place a newline between the opening/closing tags and the children. Otherwise, Markdown content may not render correctly.

`<exercise>`

Container of a single exercise.

Argument	Type	Description
`id`	number / string	Unique exercise ID within chapter.
`title`	string	Exercise title.
`type`	string	Optional type. `"slides"` makes container wider and adds icon.
children	-	The contents of the exercise.

<exercise id="1" title="Introduction to spaCy">

Content goes here...

</exercise>

`<codeblock>`

Argument	Type	Description
`id`	number / string	Unique identifier of the code exercise.
`source`	string	Name of the source file (without file extension). Defaults to `exc_${id}` if not set.
`solution`	string	Name of the solution file (without file extension). Defaults to `solution_${id}` if not set.
`test`	string	Name of the test file (without file extension). Defaults to `test_${id}` if not set.
children	string	Optional hints displayed when the user clicks "Show hints".

<codeblock id="02_03">

This is a hint!

</codeblock>

`<slides>`

Container to display slides interactively using Reveal.js and a Markdown file.

Argument	Type	Description
`source`	string	Name of slides file (without file extension).

<slides source="chapter1_01_introduction-to-spacy">
</slides>

`<choice>`

Container for multiple-choice question.

Argument	Type	Description
`id`	string / number	Optional unique ID. Can be used if more than one choice question is present in one exercise.
children	nodes	Only `<opt>` components for the options.

<choice>

<opt text="Option one">You have selected option one! This is not good.</opt>
<opt text="Option two" correct="true">Yay! </opt>

</choice>

`<opt>`

A multiple-choice option.

Argument	Type	Description
`text`	string	The option text to be displayed. Supports inline HTML.
`correct`	string	`"true"` if the option is the correct answer.
children	string	The text to be displayed if the option is selected (explaining why it's correct or incorrect).

Setting up Binder

The install.R in the repository defines the packages that are installed when building it with Binder. You can specify the binder settings like repo, branch and kernel type in the "juniper" section of the meta.json. I'd recommend running the very first build via the interface on the Binder website, as this gives you a detailed build log and feedback on whether everything worked as expected. Enter your repository URL, click "launch" and wait for it to install the dependencies and build the image.

Adding tests

To validate the code when the user hits "Submit", we're currently using a slightly hacky trick. Since the R code is sent back to the kernel as a string, we can manipulate it and add tests – for example, exercise exc_01_02_01.R will be validated using test_01_02_01.R (if available). The user code and test are combined using a string template. At the moment, the testTemplate in the meta.json looks like this:

success <- function(text) {
    cat(paste("\033[32m", text, "\033[0m", sep = ""))
}

.solution <- "${solutionEscaped}"

${solution}

${test}
tryCatch({
    test()
}, error = function(e) {
    cat(paste("\033[31m", e[1], "\033[0m", sep = ""))
})

If present, ${solution} will be replaced with the string value of the submitted user code, and ${solutionEscaped} with the code but with all " replaced by \", so we can assign it to a variable as a string and check whether the submission includes something. We also insert the regular solution, so we can actually run it and check the objects it creates. ${test} is replaced by the contents of the test file. The template also defines a success function, which prints a formatted green message and can be used in the tests. Finally, the tryCatch expression checks if the test function raises a stop and if so, it outputs the formatted error message. This also hides the full error traceback (which can easily leak the correct answers).

A test file could then look like this:

test <- function() {
    if (some_var != length(mtcars)) {
        stop("Are you getting the correct length?")
    }
    if (!grepl("print(mtcars$gear)", .solution, fixed = TRUE)) {
        stop("Are you printing the correct variable?")
    }
    success("Well done!")
}

The string answer is available as .solution, and the test also has access to the solution code.

For more details on how it all works behind the scenes, see the original course repo.

karelTole/RBootcamp