You'll find on our website a lot of info regarding this laptop + we are working on a Hackster.io page to share our journey through devlogs :). Source: 9 months ago

Note that I could not find much documentation on references written on these components and that I am pretty new to electronics but it's something I'm interested in and I love to experiment (I have already went through hackster.io and instructables.com tutorials). Source: about 1 year ago

Something like the Gemma M0 or one of the Feather boards would work pretty well depending on what kind of connectivity you want. They both have JST connectors to connect a rechargable battery and the Gemma already has a single NeoPixel onboard. The Learn section on Adafruit or hackster.io both have excellent guides on running projects with either board. Source: over 1 year ago

I say this because learning Python and R are cool, but learning them in a traditional academic framework might not be as fulfilling or as productive as looking up some of the wild projects on hackaday.com, hackster.io, and instructables.com. If you start looking at these, they can really broaden your lens of what is possible, while at the same time offering projects that are more fun than rote coding exercises. Source: over 1 year ago

The website https://randomnerdtutorials.com has a lot of good stuff to get you going. A lot of the more advanced projects are on https://hackster.io. Source: over 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: 12 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