ggplot2-book
ggplot2: elegant graphics for data analysis (by hadley)
actions
GitHub Actions for the R community (by r-lib)
| ggplot2-book | actions | |
|---|---|---|
| 31 | 3 | |
| 1,509 | 914 | |
| - | 0.9% | |
| 2.0 | 8.9 | |
| 21 days ago | 7 days ago | |
| Perl | TypeScript | |
| - | 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.
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/
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.
-
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?
What are some alternatives?
When comparing ggplot2-book and actions you can also consider the following projects:
r4ds - R for data science: a book
azure-cli - Azure Command-Line Interface
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