As a scientist when I read and review, I don’t feel satisfied seeing the visuals in print. I pull up the paper on my computer and I have the urge to push an axis, to add a variable, to do my own discovery.
Of course, papers and publishing have a place in our scientific community and discourse that’s extremely important. They tell stories. But we’re all scientists and reading stories gives me (us?) the urge to make stories.
So I wanted to reflect that in my visuals, and give people the opportunity to see more of the story than you can share with a fixed image.
Were this a poster, I wouldn’t have that luxury. But this is the internet, after all. So try out some of my interactive visuals here, and write your own stories.
Do you have favorite tools for interactive data visualization? How do you share them with others?
LikeLike
I could write a whole post in response to this question (hmm…. maybe I will), but in short: I think shiny is the easiest to use/host for adding a basic level of interaction to your otherwise very vanilla bar plot (or other standard Rplot / ggplot visual); I more rarely use but also love d3.js, which unlocks a ton of interactive paradigms that aren’t available using shiny. Both frameworks are immediately web-ready which means I tend to host mine on the internet! I’m sure you’ll see both here occasionally.
LikeLiked by 1 person
> I could write a whole post in response to this question (hmm…. maybe I will)
Please do
LikeLike
shiny and ggplot2 are the only two R features that I miss in python. I used to work in R for 1.5 years and hated it. Everything, except ggplot2 and shiny
LikeLiked by 1 person