rnoaa
cheatsheets
| rnoaa | cheatsheets | |
|---|---|---|
| 2 | 60 | |
| 325 | 5,612 | |
| 0.9% | 0.9% | |
| 3.5 | 7.6 | |
| 11 months ago | 2 days ago | |
| R | TeX | |
| GNU General Public License v3.0 or later | Creative Commons Attribution 4.0 |
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rnoaa
cheatsheets
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Tools a Data Scientist should know:
If you're an R user, stringr + its cheatsheet gets you very close to remembering what to do without needing to look further!
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JSON to PDF Magic: Harnessing LaTeX and JSON for Effortless Customization and Dynamic PDF Generation
For more information on how to use ggplot2 and create charts consult the ggplot2 official page or the ggplot2 cheat graphic.
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Best packages to learn?
I'd suggest you have a look at cheatsheets (or download them from GitHub) if you want to get to know your way around a package or set if functions, it saves you a lot of time.
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How do I make these shapes (pictured below) in ggplot?
You could use geom_hline and geom_vline, geom_abline, or geom_segment for this. (The ggplot cheat sheet is very useful for answering these kinds of questions, BTW.)
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Why does my scatter plot look like this?
I can't say for sure because I don't know what your ultimate aim is for your visualization. Check out the cheat sheet for ggplot2 here.
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Import from Excel
Finally just do your analysis. You should also should give a try and see the cheat sheet for data importing on the tidyverse package.
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[Request] How to best visualize percentages with R?
That said, when I’m trying to come up with an interesting way to visualize data, I find the ggplot cheat sheet very helpful: https://github.com/rstudio/cheatsheets/raw/main/data-visualization-2.1.pdf
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Need help with variables
Here's a cheat sheet: https://github.com/rstudio/cheatsheets/blob/main/strings.pdf
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Data manipulation in R
The cheat sheet of the stringr package should give you good overview of string manipulation/ regex in R.
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I'm trying to recreate this plot but I keep failing
I would very highly recommend that rather than trying to get started by translating an existing graph, you check out some documentation about ggplot first. If nothing else, the ggplot cheat sheet from RStudio should help explain what the component parts of the code are, and that might help you figure out what you actually want to do.
What are some alternatives?
keplers-updater-for-wxtoimg - 🛰 A tool to easily update Kepler Data for WXtoImg with a graphical user interface on Windows.
tidytuesday - Official repo for the #tidytuesday project
forcats - 🐈🐈🐈🐈: tools for working with categorical variables (factors)
reddit-top-2.5-million - This is a dataset of the all-time top 1,000 posts, from the top 2,500 subreddits by subscribers, pulled from reddit between August 15–20, 2013.
mostly-adequate-guide - Mostly adequate guide to FP (in javascript)
world-cities - List of major cities of the world as a datapackage
ggplot2-book - ggplot2: elegant graphics for data analysis
awesome-public-datasets - A topic-centric list of HQ open datasets.
mech - 🦾 Main repository for the Mech programming language. Start here!
dataRetrieval - This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services.
ggplot2 - An implementation of the Grammar of Graphics in R