Misses big interactive timeline for scrubbing and pausing, like a video.
Bar Chart Race, Explained
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Re: Bar Chart Race, Explained
#12Misses big interactive timeline for scrubbing and pausing, like a video.
You can fork it and modify the source!
Try adding your own scrubber using:
https://observablehq.com/@jashkenas/inputs#sliderDemo
or any of the other offerings:
Re: Bar Chart Race, Explained
#13[deleted]
Re: Bar Chart Race, Explained
#14What's the advantage of an animated bar chart compared to an area chart? I personally think they're incredibly painful to look at but since I keep seeing them pop up on reddit I'm sure there must be advantages I haven't thought of, right?
The alternatives I’d consider are a line chart and a bump chart. https://observablehq.com/@d3/multi-line-chart https://observablehq.com/@jonsadka/scatterplot A bar chart race is in many ways “worse” than a static chart. The bar chart race forces you to wait for the animation to finish, whereas a static chart shows you everything simultaneously, and lets you look forward or backward in time by just moving your eyes. T…
How do you feel about line "races"? (ex. https://datasciencetexts.com/diversions/college_ranks_race.h...)
Re: Bar Chart Race, Explained
#15This tutorial was inspired by John Burn-Murdoch’s popular bar chart race from earlier this year. There have been a couple thousand transitive forks of John’s notebook! Our hope with Observable is that reactive notebooks, as a form of literate programming designed for tinkering, make code easier to understand and reuse. Sharing code is already popular today, obviously, but we think helping people better understand tha…
Very cool. If the license info was more prominent it might help encourage sharing?
As is, I wouldn't fork something I can't use legally as it would be a dead-end. I can't find the word "license" on any of the bar chart pages, so I imagine it defaults to whoever wrote it owning the rights and anyone using it for anything is in legal jeopardy.
Re: Bar Chart Race, Explained
#16One property of these charts is that the data is normalized so that the 'winner' takes up 100% of the width for any given time-sample. This is useful if you're trying to imply that the data is zero-sum, but not useful if you're interested in understanding the changes for any one participant relative to itself, or two participants relative to each other. I think in the example, Apple's growth would be far more dramatic on a simple line chart.
Re: Bar Chart Race, Explained
#17One property of these charts is that the data is normalized so that the 'winner' takes up 100% of the width for any given time-sample. This is useful if you're trying to imply that the data is zero-sum, but not useful if you're interested in understanding the changes for any one participant relative to itself, or two participants relative to each other. I think in the example, Apple's growth would be far more dramati…
If you edit the line that sets the x.domain in the chart cell, you can see it run with a fixed scale:
x.domain([0, d3.max(keyframes, ([, data]) => d3.max(data, d => d.value))])Re: Bar Chart Race, Explained
#18This tutorial was inspired by John Burn-Murdoch’s popular bar chart race from earlier this year. There have been a couple thousand transitive forks of John’s notebook! Our hope with Observable is that reactive notebooks, as a form of literate programming designed for tinkering, make code easier to understand and reuse. Sharing code is already popular today, obviously, but we think helping people better understand tha…
Thanks, Mike. This is fantastic. I'm still just learning D3, but this type of content (and Observable in general) has been immensely useful. Where do you get ideas for your novel visualizations? Is there academic literature on the psychology of presenting data like this, or are you just dreaming up new things and adding features to D3 so you can do it? How do you recommend making the jump from forking and adapting ot…
There are decades of academic literature on visualization and perception: IEEE VIS (and InfoVis specifically), IEEE TVCG (Transactions on Visualization and Computer Graphics), ACM SIGCHI, and lots more. If you’re interested in learning about visualization I recommend starting with Tamara Munzner’s book, Visualization Analysis & Design:
Re: Bar Chart Race, Explained
#19Misses big interactive timeline for scrubbing and pausing, like a video.
Yeah, that would be a nice addition. Chained transitions in D3 don’t currently allow scrubbing, but this chart could be implemented using an explicit timeline to support it (or maybe that’s something that could be added to d3-transition).
Re: Bar Chart Race, Explained
#20For a really simple improvement to the visuals, smooth the data with smoothing splines before performing the race, then subsample/interpolate between your data points for a smoother feel.
Every time I see the "ka-chunk" as yearly data is iterated through in lockstep fashion, especially on a certain corner of the internet where "data is (or should be) beautiful", I cringe.