Based on our record, HackADay should be more popular than The Data Visualisation Catalogue. It has been mentiond 48 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Can't help you with a list. But https://hackaday.com/ features sometimes nice DIY project, I often also see them popping up on youtube. But you might be able to find some if you search on 3D printing websites such as https://www.printables.com/. - Source: Hacker News / about 2 months ago
Https://hackaday.com/ has many ideas/previously made projects. They also reward you for bringing up something new. Also accept year around applications. Check it out. Source: 11 months ago
We made abstractions successfully, world changing abstractions. Do the NAND to Tetris course and see that tech is abstractions on top of abstractions. Electronics today is frequently represented by code. Check out Verilog or VHDL. https://en.wikipedia.org/wiki/Hardware_description_language Where electronics stayed interesting is in the realm where code meets reality -> robotics and art. Playing with LED's,... - Source: Hacker News / 12 months ago
Hackaday for when I'm browsing cool ideas I can actually do myself. Source: about 1 year ago
Very nice phone switch you should send it to hackaday.com. Source: about 1 year ago
I contstantly refer to this data viz dictionary that explains the best viz to use for a ton of problems. https://datavizcatalogue.com/. Source: 11 months ago
Learn the various chart types and their best application: https://datavizcatalogue.com/. Source: almost 2 years ago
Because you are building unnecessary visual complexity. I recommend you take a gander at ink ratio and visualization types like this that are very easy to follow. Source: almost 2 years ago
Resources I use a lot: - https://datavizcatalogue.com - http://vita.had.co.nz/papers/layered-grammar.html - http://www.visual-literacy.org/periodic_table/periodic_table.html - https://www.anychart.com/chartopedia/. Source: almost 2 years ago
A quick Google on "data visualisation" brings up several sites that provide the info you're looking for. To help get you started, here's one from the first few results from that Google search: https://datavizcatalogue.com/. Source: over 2 years ago
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