COVID-19
Plots and analysis relating to the pandemic (by VictimOfMaths)
cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/. (by rstudio)
COVID-19 | cheatsheets | |
---|---|---|
2 | 60 | |
214 | 5,645 | |
- | 1.3% | |
4.1 | 7.6 | |
7 months ago | 8 days ago | |
R | TeX | |
- | Creative Commons Attribution 4.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
COVID-19
Posts with mentions or reviews of COVID-19.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-22.
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Frustration: One Year with R
If you enjoyed this you might like https://github.com/VictimOfMaths/COVID-19 :)
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[OC] Progress in COVID vaccinations in England by age and sex
R code to produce the gif is here.
cheatsheets
Posts with mentions or reviews of cheatsheets.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-24.
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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 Iām 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?
When comparing COVID-19 and cheatsheets you can also consider the following projects:
mech - š¦¾ Main repository for the Mech programming language. Start here!
tidytuesday - Official repo for the #tidytuesday project
ggplot2-book - ggplot2: elegant graphics for data analysis
forcats - šššš: tools for working with categorical variables (factors)
mostly-adequate-guide - Mostly adequate guide to FP (in javascript)
dtplyr - Data table backend for dplyr
Frustration-One-Year-With-R - An extremely long review of R.
tidyr - Tidy Messy Data
ggplot2 - An implementation of the Grammar of Graphics in R