Re-charting the Course
Matthew Turk
Advanced Data Visualization - Spring, 2022
Review of Us
- We learned about vega-lite
- We did a bit of D3
- I've talked a little about publishing, etc
- We should all mostly "get" Iodide now
- We haven't yet really "put it together."
Where We're Going
- Let's finish up our intro-to-d3
- We'll talk today about putting the "advanced" back in "advanced data visualization"
- We're going to hit the ground running
Topics
From here on out, we're going to eschew zero-dependency web environments a little bit. We're going to talk about where to go, but here is what was originally planned:
- Deep dive into color
- GLSL and scientific visualization
- Scientific visualization
- Web apps
- Advanced spatial visualization
Your Environment
You will be expected to have a local development environment set up on your computer. This needs to include:
- Python 3.8 or 3.9, installed using Conda
- Jupyterlab
- Pandas, matplotlib, h5py
- VS Code with these extensions:
MS-vsliveshare.vsliveshare-pack
ms-toolsai.jupyter
ms-python.python
slevesque.shader
RandomFractalsInc.vscode-vega-viewer
WASTeamAccount.WebTemplateStudio-dev-nightly
We will start with this today.