---
title: "gganimate Talks"
output: rmarkdown::html_vignette
---

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)
```

This is an ever-growing list of talks I've given about *gganimate* in reverse
chronological order:

### Rstudio::conf 2019
**Title:** gganimate Live Cookbook

**Abstract:** Animation of data visualisation is becoming increasingly popular 
both as an attention grabber on social media and as a way to tell small data 
stories. gganimate is a package that extends ggplot2 for making animations and 
provides a grammar of animation on top of the grammar of graphics. This talk 
will quickly introduce gganimate, and then dive into a series of different 
animation and show how they were made and how they could be changed or expanded.

**Slides:** https://data-imaginist.com/slides/rstudioconf2019

**Video:** https://resources.rstudio.com/rstudio-conf-2019/gganimate-live-cookbook

### useR 2018
**Title:** The Grammar of Animation

**Abstract:** In the world of data visualisation much work has been put into 
defining a grammar for both static and interactive graphics. These efforts has 
often been coupled to the development of visualisation frameworks where the 
grammar has been reflected in the API design. Less attention has been devoted to 
a grammar of animation, and subsequently animation frameworks has often missed 
the breadth and composability that are the hallmark of grammar-driven 
visualisation frameworks. In this talk I will justify and present a grammar of 
animation and position it in relation to graphics and interactivity grammar, 
thus creating a clear division of responsibility between the three domains. I 
will present an R implementation of the grammar of animation which builds on top 
of the ggplot2 framework and made available as the gganimate package, Using 
examples with gganimate I'll show how the proposed grammar can be used to break 
down, and reason about, animated data visualisation, and how the grammar 
succinctly can describe very diverse animation operations.

**Slides:** <https://data-imaginist.com/slides/user2018>

**Video:** 

<iframe width="560" height="315" src="https://www.youtube.com/embed/21ZWDrTukEs" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
