~/talk

Altair Declarative, Statistical Visualization for Python

Talkat PyData San Francisco 2016 · 2016-08-12..08-14· [data-visualization]
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slides:none on file

A Python library that implements a constrained declarative grammar for tidy, DataFrame‑based plots, guaranteed to emit Vega‑Lite JSON rather than render itself, with a type‑checked API auto‑generated from the Vega‑Lite spec. It plugs into the JavaScript stack (Vega, D3, ipyvega) to render in Jupyter notebooks, supports marks, scales, encodings, and faceting, ships ~70 examples and datasets, and serializes to JSON/HTML/PNG; interactivity (selections, cross‑filtering) is planned.

AI-written summary · about

  1. 0:00Introduction
  2. 1:10Python visualization pain points
  3. 5:06What is statistical visualization
  4. 6:49Visualization grammar and APIs
  5. 12:42Visualization tools landscape
  6. 17:45Introducing Altair
  7. 23:52Altair’s robustness
  8. 27:08Altair tutorials
  9. 31:08Basic Altair visualizations
  10. 35:57Altair’s constrained model
  11. 37:31Q&A
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