Small multiples research/plan for implementation

Objective! We’re trying to come up with a plan for handling small multiples. 🐭 🐌 🐤

The plan is to look at how things are currently built, and see if there is a way to create small multiples out of score classifiers.

This has two parts:

💾 Part 1! Look at existing visualizers and understand what methods they use and what these methods do. Answer four key questions:

• What does finalize() do?
• Map out how the methods work together (e.g., does fit call draw?)
• Map out what each method contributes to the end visualization/does with the data
• Parameters for each method

💪 Tentative division of labor: Features: Elaine Regressor: Lisa Text: David Bestfit: Laura (or Elaine if Laura doesn’t want to be voluntold) Classifiers: Neal

🌷 Part 2! Come up with some psuedocode/idea for how this small multiples thing might work for score visualizers. We’ll go over this at the March 22 sprint and see the feasible path forward.

Plan is to check in on this next Wednesday (3/15) via google hangout.

[ndanielsen]

Just chatted with Elaine and she is planning on continuing working on this in the next two weeks.

[NealHumphrey]

I got a first trial version of the root MultipleVisualizer class working:

Any particular small multiples visualizer should be able to inherit from this, as well as a visualizer dashboard.

I need to do some cleanup still but I pushed the code to the multi-visualizer in my fork of the repo.