Repository for discussion and submission of projects for the Lede Program's Data Studio course. Magic generally happens in the issues section.
Your week will look like this:
...I might change it so things aren't due on the same day, but I'm not sure yet.
To create a pitch, visit the issues section and create a new issue. Fill out the pitch form.
The pitch is not just "here is a story idea." You should have found several data sets, opened them, cleaned them, and produced some preliminary graphics.
After you post your pitch, you will receive two pieces of feedback from other students.
Your first draft should be as close to a publishable piece as possible. Add it to your issue as a new comment. (Example)
You should be proud of it. Make it nice.
In each of these steps, discuss problems you're having, questions you're wondering, and anything else you'd like input on.
Aren't sure how to make a graphic nice? Well, that's what this class is about, but you can also use this simple data visualization guide.
After you post your first draft, you will receive two pieces of feedback from other students.
Even though you worked so hard on your first draft, it could definitely be better! So you're going to make it better.
Add it to your issue as a new comment. You will receive two pieces of feedback.
Your final draft needs to be posted two ways:
docs/
folder)Giving good feedback is super difficult! But here's a fine guide:
Let's say the graphic is the worst thing you've ever seen. Is the idea good? Is the topic interesting?
One thing to remember is your feedback very well may be terrible and wrong. But that's okay! No one has to listen to it, it's all just ideas.