Based on our record, Bl.ocks seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.
D3 is luckily a very popular library with lots of resources available. I'd suggest also checking out bl.ocks and Observable for great examples. The latter one is amazing if you just want to do statistics/visualization work, since it acts like a Jupyter-like notebook environment. - Source: Reddit / 10 months ago
Yeah, for that use case, https://bl.ocks.org is better than CodePen. Publish a GitHub gist, replace gist.github.com with bl.ocks.org, and sneak in "/raw" between the username and the gist id. You can even point to specific commit hashes. - Source: Hacker News / 11 months ago
The harder way: Follow an example of someone coding the visualization on their local set up (which may be hard to find depending on what your are looking for as a lot of D3 examples have migrated to Observable). But here is an old glossary of examples it is on an old website called Bl.ocks that showed D3 examples using Github gists. - Source: Reddit / over 1 year ago
That's great, and hey maybe I'll steal some of your recipes from your blog too :) Currently I'm following https://bl.ocks.org/ for inspiration and don't have too many other sources to read through, but your blog seems like it's filled w/ topics on data viz & getting around pain points, I'm all about it! - Source: Reddit / over 1 year ago
I'm still a beginner myself, but after getting this basic TypeSctipt file laid out, the examples you find on bl.ocks.org work as is, minus some "gotchas" - watch out for this, types, and non-arrow functions, as you will have to translate those things over to TypeScript. Also watch for which version of D3 the example is using. A lot of stuff out there is for v4 when 6 is the newest iteration right now and there... - Source: Reddit / almost 2 years ago
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