## Additional Resources There are a TON of resources to help you navigate the wonderful world of Observable Plot. Today we are going for breadth over depth, including a few additional resources that have helped me along my learning journey: - [Observavble Slack Channel](https://observable-community.slack.com/ssb/redirect)- Get in touch with the Observable community online. I've used this as a forum to ask questions when I get stuck, lot of people are ready and willing to help troubleshoot. - [Observable Plot Docs](https://observablehq.com/plot/) - Examples and explanations for all things Observable Plot. Easy to search and navigate by topic. - [Plot Cheatsheets](https://observablehq.com/@observablehq/plot-cheatsheets-layouts) - Downloadable PDF cheatsheet by Mark Freeman with tips on how to use marks, scales, and transforms. Includes helpful details on adjusting layouts and styles. - [Plot from ggplot2](https://observablehq.com/@observablehq/plot-from-ggplot2) - Allison Horst brilliantly summarizes Plot through the lens of a ggplot2 user. This is a nice Rosetta Stone if you're coming from an R tidyverse background. - [Introduction to SQL](https://www.youtube.com/watch?v=5YrNBaapwIw)- Paul Buffa teaches an introductory course showing how you can leverage the power of SQL in Observable Notebooks to make data wrangling easy. - [Data wrangling in Javascript](https://www.youtube.com/watch?v=8vaEcca3iBk) - If you're interested in learning how to whip data into shape with JS, Allison Horst has a great beginner's tutorial. - [#30DayChartChallenge with Deepsha](https://observablehq.com/collection/@deepsha/30-day-chart-challenge)- Deepsha shares here Observable Plot learning journey with a collection of notebooks. NOTE: If you are new to Observable Notebooks and come from an R background - it is important to note these cells do not need to be run sequentially! Observable uses reactive programming which means you the order of the code chunks doesn't matter.