tidyr
ggplot2-book
tidyr | ggplot2-book | |
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3 | 31 | |
1,387 | 1,577 | |
-0.1% | - | |
7.6 | 0.0 | |
about 2 months ago | 4 months ago | |
R | Perl | |
GNU General Public License v3.0 or later | - |
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tidyr
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1MinDocker #6 - Building further
tidyr
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Frustration: One Year with R
This was fun to play around with. I made some very minor changes and posted at https://gist.github.com/hadley/d54895557fbb0fe0402d2277b9011....
It revealed to me that there's a buglet in `forcats::last()` (https://github.com/tidyverse/forcats/issues/303) and made me wonder if `pivot_longer()` should be able to rename the columns as you pivot them (https://github.com/tidyverse/tidyr/issues/1338)
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What are your thoughts on data.table vs tidyverse vs tidy syntax with data.table backends (dtplyr, tidytable) in R?
I originally wrote tidytable because dtplyr was missing a lot of functionality my coworkers and I needed, and at the time dtplyr looked like a "forgotten package" (lots of open issues/bugs, very infrequent updates). Hadley Wickham also mentioned at one point [he had no plans for adding tidyr functions)[https://github.com/tidyverse/tidyr/issues/1015#issuecomment-682977139]. He changed his mind on that one - tidyr functions are the ones that I'm in the process of contributing to dtplyr now.
ggplot2-book
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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?
tidytable - Tidy interface to 'data.table'
r4ds - R for data science: a book
mech - 🦾 Mech is a programming language for building data-driven systems like robots, games, and interfaces. Start here!
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.
ggstatsplot - Enhancing {ggplot2} plots with statistical analysis 📊📣
wesanderson - A Wes Anderson color palette for R
Frustration-One-Year-With-R - An extremely long review of R.
dtplyr - Data table backend for dplyr