vegawidget: UseR! 2019 Presentation

Ian Lyttle

It’s very exciting to be presenting at UseR! 2019 in Toulouse, France.

This presentation [] incorporates contributions from the entire vegawidget organization:

Ian Lyttle
Haley Jeppson
Alicia Schep
Stuart Lee
Wenyu Yang
Heike Hofmann

This post also serves as an announcement for the CRAN release of vegawidget 0.2.1, which incorporates Vega-Lite 3.3.0.

The vegawidget package plays a role within a larger process. Here’s how we see the end-to-end process of building and deploying a Vega-Lite chart using R:

Working backwards from the end-user, we see three steps: the Vega-Lite library itself displays a chart in a browser, rendered from a JSON specification, which is composed by an R programmer.

Vega-Lite
- provides an interactive grammar-of-graphics
- JavaScript library that runs in the browser
Rendering
- vegawidget: htmlwidget package to render Vega-Lite specifications to Vega-Lite; also to provide interactive access (including Shiny) to Vega-Lite charts.
Composing

These packages are created by members of the vegawidget organization:
- altair: wraps Python package Altair, which covers entire Vega-Lite API.
- vlbuildr: covers entire Vega-Lite API, with pipeable functions.
- ggvega: translator from ggplot2 to Vega-Lite.

Going forward, we expect to focus more-and-more on the packages to compose specifications, while the vegawidget package renders in the “background”.

Code icons made by Smashicons from www.flaticon.com↩

Citation

For attribution, please cite this work as

Lyttle (2019, July 11). vegawidget: UseR! 2019 Presentation. Retrieved from https://vegawidget.rbind.io/posts/2019-07-10-user-2019-presentation/

BibTeX citation

@misc{lyttle2019user!,
  author = {Lyttle, Ian},
  title = {vegawidget: UseR! 2019 Presentation},
  url = {https://vegawidget.rbind.io/posts/2019-07-10-user-2019-presentation/},
  year = {2019}
}