The Data Visualisation Catalogue VS Sheety

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

Neat! This seems very similar to Sheety[0], which I've used a bunch of times before (and found a few bugs...). Do you have any plans to open source? [0]https://sheety.co. - Source: Hacker News / about 1 month ago

You can just use retool alone or if you still want to use bubble maybe the easiest way would be to use https://sheety.co. Source: about 1 year ago

Well there’s https://sheety.co that provides an api to write to google sheets. You just need to set up the fetch mechanism on your web page. Source: over 1 year ago

Https://sheety.co/ I found this website, where I can have the API with the needed google sheet and with the API request/response, I am getting the required details. Source: over 1 year ago

Calling a 3rd party API: There is a complete ecosystem providing "google-sheets-as-DB". I personally tested and recommend https://sheetson.com/ but there are a lot more with free tiers https://sheetsu.com/ https://sheety.co/. Source: about 2 years ago