This is a lesson designed for the Center for Health Journalism Data Fellowship program. The aim is to provide an introduction to Workbench, a web-based tool that uses Python's pandas data analysis library under the hood.
The tool provides some of the benefits of programming-based data science techniques, like repeatable code with annotations to explain the steps, but in an approachable manner using a web-based interface and minimal programming. It allows the user to concentrate on the technique and not the programming syntax.
I have a series of short video tutorials on the Basic Functions of Data Journalism that you may find useful. The videos cover common techniques used in data analysis, including in Workbench.
Lastly, Workbench has a Training section with tutorials and lessons that cover basic data journalism concepts. They are worth doing.
- I'll do a quick demonstration working through some of the relevant functions and abilities of Workbench. Just watch this part ... don't try to follow along. You'll get to do that soon enough.
- We'll work together on a project step-by-step so you can practice this.
- I'll provide a detailed practice session you can do on your own later.
- The Demo
- Hands-on session
- Practice on your own. If you want to practice on your own with some health-related data: Opioid deaths from Minnesota. (H/T MaryJo).