actions
GitHub Actions for the R community (by r-lib)
ggplot2-book
ggplot2: elegant graphics for data analysis (by hadley)
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featured
| actions | ggplot2-book | |
|---|---|---|
| 3 | 31 | |
| 912 | 1,507 | |
| 0.7% | - | |
| 8.9 | 2.0 | |
| 12 days ago | 13 days ago | |
| JavaScript | Perl | |
| Creative Commons Zero v1.0 Universal | - |
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.
actions
Posts with mentions or reviews of actions.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-04.
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Can someone explain how R project are organized and deployed?
For CI/CD type of thing perhaps check https://github.com/r-lib/actions .
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Scheduling Tasks in Base R
You can trigger a github action (run a script) using cron syntax too. Here's a decent place to start: https://github.com/r-lib/actions
- Fail if lintr::lint_packages() return error in CI/CD?
ggplot2-book
Posts with mentions or reviews of ggplot2-book.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-04.
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Does anyone else absolutely love plotting their data
I also only recently started using ggplot after doing most of my graphs with base R‘s plot() function. I started by reading ggplot2 by Hadley Wickham which is also available as a free ebook. Reading the first few chapters is enough to enable you to plot many basic plots. I can’t imagine going back to any other visualization tool ever again. Absolutely love the freedom ggplot gives you.
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I am starting to learn R and I love it. I would like to learn at least 1 another simmilar language. Which one(s) should I learn?
His ggplot book will teach you all you need to know about R plotting, and is probably right at your current level. It is likewise pretty great, ggplot
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What are your favorite softwares for data visualization?
The OG book is still the best in my opinion! https://ggplot2-book.org/
- Data analysis skills before/in lieu of master’s program
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How can I do this graph?
You could use base R, see ?plot but a lot of people would use ggplot2. However, looking at your data it won’t look very good because there’s going to be very few points per country.
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Can someone explain how R project are organized and deployed?
If you included DESCRIPTION to your repository (like in ggplot2-book - https://github.com/hadley/ggplot2-book/blob/master/DESCRIPTION ) devtools::install_deps() and renv::install() will install dependencies listed there as would pip with requirements.txt , you can trigger this from your R script, from command line or from whatever deployment / automation tool you are using.
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[Q] is majoring in stats a bad choice if i suck at programming?
Chapters 1-8 of https://adv-r.hadley.nz/, https://r4ds.had.co.nz/ , and https://ggplot2-book.org/ were covered in my statistical computing courses. I don't think it gets much more advanced than that at the undergrad level.
- How to add color?
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How can I make a line graph!?
You can check out more about Ggplot2 here: https://ggplot2-book.org/
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Ask HN: How would you spatialize higher dimensional data?
* "ggplot2: Elegant graphics for data analysis" : https://ggplot2-book.org/
What are some alternatives?
When comparing actions and ggplot2-book you can also consider the following projects:
azure-cli - Azure Command-Line Interface
r4ds - R for data science: a book
cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
forcats - 🐈🐈🐈🐈: tools for working with categorical variables (factors)
handson-ml2 - A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
dtplyr - Data table backend for dplyr
mech - 🦾 Main repository for the Mech programming language. Start here!
tidyr - Tidy Messy Data
plotnine - A Grammar of Graphics for Python
ggplot2 - An implementation of the Grammar of Graphics in R
COVID-19 - Plots and analysis relating to the pandemic
data_to_viz - Leading to the dataviz you need