tibble
ggplot2
tibble | ggplot2 | |
---|---|---|
2 | 64 | |
690 | 6,608 | |
0.6% | 0.5% | |
8.8 | 9.5 | |
about 2 months ago | 7 days ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
tibble
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Help formatting the output of source blocks that generate tibbles (remove #A tibble: n x m)
I saw options for tibbles calling out max footer lines, but nothing about headers here in the suggested pillar options. I found this github issue which reqeusts more granular printing options, which would not then require any org-specific processing.
- Organizing a 'non-standard' nasty dataset
ggplot2
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Debugging Compiled Code for R with Positron
Pardon me for shooting from the hip here, but IMO if you're using R for something radically different than statistical analysis and data visualization, there might be another tool/language that's more purpose-suited.
> As someone who basically uses R as a nice LISP-y scripting language to orchestrate calling low-level compiled code from other languages
When I read this, I think, would `bash` or something equally portable/universally installed work?
R is a beautiful thing when limited to its core uses (I use it every day ([0]). But in my experience, the more we build away from those core uses, the more brittleness we introduce. I wish the Posit team would focus on the core R experience, resolve some of the hundreds of open issues on its core packages in a timely way, [1,2] and just generally play to R's strengths.
[0] https://github.com/hsflabstanford/vegan-meta
[1] https://github.com/rstudio/rmarkdown/issues
[2] https://github.com/tidyverse/ggplot2/issues
- Show HN: Create Music with R
- ggplot2
- Ask HN: How do you build diagrams for the web?
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Visualizing shapefiles in R with sf and ggplot2!
ggplot2
- Ask HN: What plotting tools should I invest in learning?
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Relative frequency of letters in five-letter English words (Wordle aid) [OC]
I got the list of five-letter words from the words package in R, created the QWERTY keyboard grid with base R and tibble, and visualized the data with geom_tile in the ggplot2 package.
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[OC] U.S. News & World Report Best Colleges: 2002 to 2023
Thanks, it's an interesting idea! I definitely could implement this with scale_fill_gradientn) in ggplot2.
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Facts about Aaron Boone's Ejections as Manager
I used the ggplot2 package in R to create these figures.
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Fueling Innovation and Collaborative Storytelling
This might not be at the top of your list, but science fiction often presents advanced data analysis and visualization technologies. Open source data analysis tools such as Python's Pandas and R's ggplot2 have revolutionized the field, making complex data manipulation and visualization accessible to all. In the science fiction novel The Martian, astronaut Mark Watney uses a variety of data analysis and visualization tools to survive on Mars. He uses Python's Pandas to clean and organize data, and he uses R's ggplot2 to create visualizations of his data. These tools allow him to make sense of the vast amounts of data and help him to make critical decisions about his survival.
What are some alternatives?
tidyr - Tidy Messy Data
Altair - Declarative visualization library for Python
dplyr - dplyr: A grammar of data manipulation
vega - A visualization grammar.
tmap - R package for thematic maps
her-majesty-php - Britanised edition of PHP
mirt - Multidimensional item response theory
postcss-spiffing - PostCSS plugin to use British English
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat
glue - Glue strings to data in R. Small, fast, dependency free interpreted string literals.
deneb - Deneb is a custom visual for Microsoft Power BI, which allows developers to use the declarative JSON syntax of the Vega or Vega-Lite languages to create their own data visualizations.