Please recommend us data sets that you think could be useful in an R data journalism course.

Best would be if you already did something in R with that data set so we can reuse the code or if you'd know what could be a good story to write with the info from the data set.

The intro lesson is supposed to convince data journalists that R is a great tool for them.

It needs to be really good and clear for someone who never has used R before.

Since this lesson is not in an interactive website yet where you can type your code there, it would be good if you install R and RStudio. This way you can try everything and see if it works for you. See for example http://www.ics.uci.edu/~jutts/110/InstallingRandRStudio.pdf

Hi. Quick note that the link in the README.Md to Introduction.Rmd at the 'The intro lesson' bullet returns a 404.
https://github.com/school-of-data/r-consortium-proposal/blob/master/material/lessons/Introduction.Rmd

We need to have information on the templates on how to include interactivity.

I think we should have three types of interactive parts (let me know if you disagree):

• Multiple choice questions
  Example:
  

• Runnable code
  Example:
  

• Code questions

  • empty code blocks with solutions
    Example:
    
  • prepared code blocks with changes to be made plus solutions

Pinging @danfowler here, which may indicate whoever in the OKLabs team is best suited to see if there are possible collaborations to be made here.

We need help 🆘 😄

We finished the first tutorials and need people to beta test the material.

This can be done in three easy steps, which are described here.

Come and be part of this cool project which wants to bring R to journalists! 👍 🎉 🍰

Data recipes are like recipes for simple but delicious dishes: You have a step by step guide, which you need to follow and the end result is really good 🥘 🍰 😄

We have a template and one (unfinished) data recipe with export data from switzerland. You can look at those for help.

You can get more help by commenting on this issue or writing an email to [email protected]

Our CONTRIBUTING info might also be of use.

We're excited to hear from you 🎉 👏

Look at one of our first recipes we have started.

• The following data recipes
  • Switzerland dual use goods
  • WIP - Visualisation of polls results during presidential election in France

The first one is a bit more advanced than the second one. Go through the code and let us know if it is clear and easy to understand. In the end all data recipes are supposed to adhere to a standard. This is why we created a template. You can also check it out in R via

devtools::install_github("school-of-data/r-consortium-proposal", 
                         subdir="r-package")
learnr::run_tutorial("en-recipe-template", package = "ddj")

You can solve this issue in two different ways:

1. Add your comments to this issue
2. Create a pull request for the recipes where you improve parts

We need a template to report testing. When people go through a skills lesson or data recipe, what should they look at?

First ideas:

• Writing, tone:

  • is the text easy to follow?
  • Do the explanations come at the right moment?
  • Are there any leaps in logic?
  • Is the grammar/orthography correct?

• Content:

  • Does the code run correctly on your machine?
  • Is there another way of doing a step that would be better for beginners or should be mentioned as an alternative?