Approximately half of the population can’t find themselves and their planned vote on the US election maps on FiveThirtyEight, the New York Times or the Washington Post.
In this blog post I argue that we should show not just the electoral votes, but the popular votes as well. And I show how we can do that.
I'd love to hear your thoughts on that. Agree? Disagree?
Looks great for big datasets; respect! A small thing: Why did you decide to bring the "Modifier" panel to the right-hand side of the screen? Lyra is doing the same thing. It results in SUCH a long way to drag your variables. Besides that: Neat tool! Hope you'll be successful with it.
Great point! I'm surprised that nobody else noticed that so far :) sometimes I set the values to log because I couldn't find an option to set the scale to log, but you're right, in R and ggplot2 I should use your described options.
Hi there, author here. I agree that the post is "not useful to select a library", especially because it just compares one very specific visualisation form. I'm working on a third, more high-level view on data vis tools and hope this one will be more useful for choosing a library.
Hi, author here. Plotly was the biggest surprise for me when I was writing the two blog posts, and I definitely want to try out plotly.js as well. Could take a few weeks, though :) Go ahead and recreate that chart yourself! I already had John Muyskens from the Washington Post Graphics team add the brand news Python Leather library to the repo: https://github.com/OpenNewsLabs/onechart-twelvechartinglibra...
Hm, I don't think you can speak for everybody. I find myself (re)creating a chart in R quite often. I sometimes create visualisations for print, and I just want an SVG or PDF to then import to Illustrator. Before I knew that you can export PDFs in Tableau, I often used Tableau for the analysis part and then went to R to recreate the same chart and export as PDF.
In this blog post I argue that we should show not just the electoral votes, but the popular votes as well. And I show how we can do that.
I'd love to hear your thoughts on that. Agree? Disagree?