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We’ve been developing Observable Plot for a while now, and I’m thrilled to finally have it out in the public. Feel free to ask me any questions! Or share your plots on Observable and I can make suggestions. ;)
I've been using D3 for charts for a while. I'm not a power-user by any means, but I understand it enough to make basic plots. When would I use this instead of straight D3?
We’ve been developing Observable Plot for a while now, and I’m thrilled to finally have it out in the public. Feel free to ask me any questions! Or share your plots on Observable and I can make suggestions. ;)
I didn't see any mention of this, but does Observable Plot support interactive charts? E.g. detailed summary on data point hover?
The only time it seemed like Vega made sense was publication style graphics which was unfortunate.
If I could make a suggestion to the author: it would be a great selling point to include some interactivity in the example demo. This is really hard in R and Python, but easy in JavaScript, and would be a good/easy selling point to a lot of data science people.
We’ve been developing Observable Plot for a while now, and I’m thrilled to finally have it out in the public. Feel free to ask me any questions! Or share your plots on Observable and I can make suggestions. ;)
We’ve been developing Observable Plot for a while now, and I’m thrilled to finally have it out in the public. Feel free to ask me any questions! Or share your plots on Observable and I can make suggestions. ;)
One type of visualisation I sometimes (honestly rarely) use but is extremely useful for finding unintuitive relationships in higher dimensions of data are parallel coordinates charts (actually it's your d3 code I've been borrowing in the past - so thanks for that!) Is this something that can be achieved with Plot at this stage? I'm not sure if it would be a facet, a transform, or something else, like a cross between marks and links (if that's doable).
Anyway, definitely bookmarked - I'll be sure to spend more time using this next time I need to visualise some data, looks like it will handle a lot of the standard vis without the typical boilerplate, thanks for releasing this.
The ideas embedded in Vega-Lite are such good ideas that having an alternative implementation of them - especially with the pedigree of D3 and Observable behind them - is a big win. I can't wait to see what happens as Vega-Lite and Observable Plot continue to be inspired by each other in the future.
We’ve been developing Observable Plot for a while now, and I’m thrilled to finally have it out in the public. Feel free to ask me any questions! Or share your plots on Observable and I can make suggestions. ;)
I went through the tutorials/demos and this seems very intuitive. I don't do a lot of visualisation, but when I do, I've found manually coaxing data and configuring visual parameters to please a library to be tedious as it's time spent doing busy work I'd rather spend analysing the results. So for me the major drawcard is being able to drop a simple table of results in and let the library handle the necessary inferen…
https://github.com/observablehq/plot/blob/main/test/plots/ca...
It’s not a perfect fit for Plot because Plot wants at most one instance of each scale in a plot. (I.e., Plot isn’t designed to support dual-axis charts where you have two y scales. Dual-axis charts tend not to be a good idea anyway.) So to implement parcoords we use a normalize transform to map values to [0, 1] and then render axes manually. We might revisit this topic in the future as Plot grows. I agree that parcoords are very useful for initial exploration, especially with interactive filtering.
It would also be reasonable to have a more specialized component for parcoords — not everything has to live in Plot. For example we found ourselves making a lot of dashboards of time-series data, so we built this reusable component on top of D3 instead of Plot: