2018-altair.html

---
layout: publication
authors:
  - Jacob VanderPlas
  - Brian E. Granger
  - Jeffrey Heer
  - Dominik Moritz
  - Kanit Wongsuphasawat
  - Arvind Satyanarayan
  - Eitan Lees
  - Ilia Timofeev
  - Ben Welsh
  - Scott Sievert
doi: 10.21105/joss.01057
link: https://github.com/altair-viz/altair
pdf: https://www.theoj.org/joss-papers/joss.01057/10.21105.joss.01057.pdf
short_doi: cxrt
tags:
  - Visualization
  - Data Science
  - Tool
  - Vega-Lite
title: "Altair: Interactive Statistical Visualizations for Python"
type:
  - Journal
venue: The Journal of Open Source Software
venue_tags:
  - JOSS
venue_url: https://joss.theoj.org/
year: 2018
---

Altair is a declarative statistical visualization library for Python.
Statistical visualization is a constrained subset of data visualization focused
on the creation of visualizations that are helpful in statistical modeling. The
constrained model of statistical visualization is usually expressed in terms of
a visualization grammar that specifies how input data is transformed and mapped
to visual properties (position, color, size, etc.).