Three classes of flipbooks (or "getting organized")

I kept sending links in e-mails to students for reference. Here’s the link for the data cleaning examples. Here’s the link for reshaping data. Here’s the link for ggplot basics. But would they actually be able to find these references again? Did I expect them to go through the jumble of emails I’d sent? Last quarter, I created a resources page for one of my classes, with a collection of the links that I’d sent and some visual cues to remind them of contents.

What the flipbook?!

At the end of January, I was lucky enough to present at the RStudio 2020 Conference about flipbooks and {flipbookr}. About a year earlier, I’d tweeted about the ggplot flipbook, a collection of data visualizations I’d made — presenting the builds of the code and visualizations. For my standards, the tweet got an amazing response and was widely shared. Heading to the conference, I felt like the word was out about flipbooks and I’d mostly be presenting about {flipbookr}, the new package I was developing to help people make their own flipbooks.

A detailed flipbooks origin story (a collection of tweets)

At the RStudio Conference in 2020, I was lucky enough to introduce the {flipbookr} package in a talk. Within the presentation I talked about the flipbooks “origin story”. But it felt really abbreviated. And for some time, I’ve wanted to recount some of the key moments in {flipbookr}’s history — before time slips by and I start forgetting details. And on that note, let’s begin! Don’t care much about the origin story, but are interested that flipbooks exist?


Helping people make sense of code by presenting it step-by-step and side-by-side with output

ggplot dynamic gallery

An dynamic examples gallery of plot builds using the popular ggplot2 API