Comparotron allows users to quickly create simple comparative visualizations.
There are already many graphing and apps out there so what’s different about comparotron?
The essence of the idea is simplicity and the power (and freedom) of constraints: comparotron is only about comparisons and limits you to just one or two numbers. That’s it. No more, no less. We think that this constraint is powerful – and fun! And lends itself to quick, creative story-telling.
As pictures 📷 are worth a thousand words let’s dive in with some mockups that give a sense of the idea.
The first mockup of the idea (by David McCandless) done for the Where Does My Money Go project (2010)
This is all real data by the way!
The concept originated in 2010 as part of Where Does My Money Go when looking for ways to present government spending effectively. Giving a real sense of this kind of data can be hard because of the size, variety and abstractness of the figures – what does $3bn of aid spending really mean?
Introducing comparison can help provide context, tangibility and “meaning”. For example, we can compare aid spending to other spending items such as spending on the military which will given a relative sense to the aid number.
Or, alternatively, we could compare aid expenditure to some external more “every-day” figure; for example, the cost of a loaf of bread of a teacher’s salary yielding a comparison like “aid spending is equivalent to employing 10,000 teachers for a year”.
Here at DataHub and Datopian we were delighted to take part of Open Data Day – and to help sponsor it. We’ve been part of open data from the beginning – our President started Open Knowledge Foundation and helped kick-off Open Data Day as an event!
Comparotron is one of the projects we worked on this Open Data Day. Along with getting on top of the initial effort from nearly eight years ago (how time flies!) we:
Phew, that’s quite a bit! 🚀
A central part of the original conception was a rich experience for user’s to find/select the data points they wanted to use. This made sense if you already had a database of government spending data. Even when I moved away from this idea to allow all kinds of numeric data (in comparotron v0.1 in 2012), this assumption continued to inform the approach and I spent most of my effort on the functionality and UX for searching for and selecting data ptoints (indeed, I spent plenty oof time wondering about where data would be stored and come from e.g. would it be in elastic search, where would I source GDP per capita from etc).
But thinking about this, we can simplify a lot:
Thanks to MVP approach we’re gradually moving from building a complex 🚗 to making a much more manageable 🛹 Yeah 👌
What are the essential user flows? There are just two:
MVP approach to these:
Here’s the hand-crafted examples with we did (with real data)!
We’re continuing to work on the project and you can follow the progress (and contribute!) on github here:
First steps will be getting a stub website live at https://comparotron.datahub.io
Check back soon for more updates! 👌
If you have questions, comments or feedback join our chat channel or open an issue on our tracker.