Vega and Vega-Lite visualisation grammars

In this article, we will explore the impact of Vega and Vega-Lite visualisation grammars on various aspects of today's society. Vega and Vega-Lite visualisation grammars has been a topic of great relevance in recent years, generating debate and interest in different sectors. Through this analysis, we aim to take a deeper look at how Vega and Vega-Lite visualisation grammars has transformed the way we live, work and relate. From his influence on politics and economics, to his impact on culture and entertainment, Vega and Vega-Lite visualisation grammars has left a significant mark on our society. Additionally, we will examine the possible future implications of Vega and Vega-Lite visualisation grammars and how this could shape the world in the years to come.

Developer(s)Jeffrey Heer, Arvind Satyanarayan, Dominik Moritz, Kanit Wongsuphasawat, and community
Initial release2 April 2013 (2013-04-02)
Stable release
5.25.0 / 27 April 2023 (2023-04-27)[1]
Written inJavaScript
TypeData visualization, JavaScript library
LicenseBSD
Websitevega.github.io

Vega and Vega-Lite are visualization tools implementing a grammar of graphics, similar to ggplot2. The Vega and Vega-Lite grammars extend Leland Wilkinson's Grammar of Graphics[2] by adding a novel grammar of interactivity to assist in the exploration of complex datasets.

Vega acts as a low-level language suited to explanatory figures (the same use case as D3.js), while Vega-Lite is a higher-level language suited to rapidly exploring data.[3] Vega is used in the back end of several data visualization systems, for example Voyager.[4][5] Chart specifications are written in JSON and rendered in a browser or exported to either vector or bitmap images. Bindings for Vega-Lite have been written in several programming languages, such as the Python package Altair,[6] to make it easier to use. The grammars and associated tools are open source projects led by the University of Washington Interactive Data Lab and released under a BSD-3 license.[7]

References

  1. ^ "vega Releases". Github.com.
  2. ^ Wilkinson, Leland (1999). The Grammar of Graphics. New York: Springer. ISBN 9780387987743.
  3. ^ Satyanarayan, Arvind; Moritz, Dominik; Wongsuphasawat, Kanit; Heer, Jeffrey (2017). "Vega-Lite: A Grammar of Interactive Graphics". IEEE Transactions on Visualization and Computer Graphics. 23 (1): 341–350. doi:10.1109/TVCG.2016.2599030. PMID 27875150. S2CID 206805969.
  4. ^ Wongsuphasawat, Kanit; Moritz, Dominik; Anand, Anushka; MacKinlay, Jock; Howe, Bill; Heer, Jeffrey (2016). "Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations". IEEE Transactions on Visualization and Computer Graphics. 22 (1): 649–658. doi:10.1109/TVCG.2015.2467191. PMID 26390469. S2CID 2366653.
  5. ^ Wongsuphasawat, Kanit; Qu, Zening; Moritz, Dominik; Chang, Riley; Ouk, Felix; Anand, Anushka; MacKinlay, Jock; Howe, Bill; Heer, Jeffrey (2017). "Voyager 2". Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. pp. 2648–2659. doi:10.1145/3025453.3025768. ISBN 9781450346559. S2CID 14999239.
  6. ^ Vanderplas, Jacob; Granger, Brian; Heer, Jeffrey; Moritz, Dominik; Wongsuphasawat, Kanit; Satyanarayan, Arvind; Lees, Eitan; Timofeev, Ilia; Welsh, Ben; Sievert, Scott (2018). "Altair: Interactive Statistical Visualizations for Python". Journal of Open Source Software. 3 (32): 1057. Bibcode:2018JOSS....3.1057V. doi:10.21105/joss.01057.
  7. ^ "Vega: A Visualization Grammar". Vega.