plot VS d3

I love Vega(-lite) / Altair, the grammar of graphics plotting system is really great to build any kind of chart even when it wasn't thought through by the authors of the library. There are other wrappers for languages that lack viz libraries, such as Elixir / Livebook [0]

However, when I used it a couples years back it struggled with large vizs, I think due to Vega(-lite)'s way of embedding the data in the viz artifact.

Also, interactive is nice but often I just need a quick static plot, and matplotlib is more convenient for this, you can easily see the png in any environment etc.

These days I'm eager to see an Observable Plot [1] wrapper for Python !

[0] https://github.com/livebook-dev/vega_lite

[1] https://github.com/observablehq/plot

Good questions.

1. It’s just JavaScript so you can fetch stuff dynamically too (see https://observablehq.com/framework/lib/duckdb). But yeah, only client-side. (Though see https://github.com/observablehq/framework/issues/234.)

2. Sure, it’s all open source, I bet you could make that work. Or `yarn deploy` to Observable and configure sharing there (though it wouldn’t let you charge others).

3. Yup. Which is part of the appeal of model of running data loaders at build time: you can query some private data and viewers would only be able to see the final result set. (The lack of something like this has always been a huge problem for Observable notebooks. You’d make some great query-driven charts and then couldn’t make it public without some awkward manual dance of downloading and re-uploading a file to a fork of the notebook.)

4. I wish I knew! It’s being tracked here https://github.com/observablehq/plot/issues/1711. Lately there’s been a lot more work on Framework naturally but now that that’s out…

5. Another good question. We’re definitely interested in tailoring it more to this sort of use case but lots is TBD!

Observable Plot: A library built on top of D3.js used to visualize data and iterate more quickly on different plot chart

https://observablehq.com/

Observable Plot [0] is also nice. AFAIU it's the same library powering the visualizations within Observable itself.

[0] https://observablehq.com/plot/

I liked observablehq plot library: https://github.com/observablehq/plot

I found mention of nested selection on another post, which pointed to http://bost.ocks.org/mike/nest/. But is nested selection, and therefore breaking apart the appends into three chunks, appropriate/idiomatic for this situation? Or is there actually a well-constructed way to form this structure in one chain of declarations? It seems like there might be a way with subselections mentioned on https://github.com/mbostock/d3/wiki/Selections, but I'm not familiar enough with the language to test that hypothesis.

I've chosen d3.js for this because it looks like would be capable of doing the job. I just don't know how or even where to start. Tutorials about d3.js only cover standard charts like bar charts.

So I'm trying to learn d3, and the wiki suggested that

D3 Sandbox But when I load this page, my console (in Chrome) is giving me this error:

Uncaught SyntaxError: Unexpected token ILLEGAL: line 2 It doesn't like the pi and e symbols at the start of the file. Errrr... what can I do about this? I am serving the file with python's SimpleHTTPServer.

Update: yes I know I can just link to a CDN version, but I would prefer to serve the file locally.

Answer link : https://codehunter.cc/a/javascript/d3-js-uncaught-syntaxerror-unexpected-token-illegal