ggplot2-book
ggplot2: elegant graphics for data analysis (by hadley)
r4ds
R for data science: a book (by hadley)
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ggplot2-book | r4ds | |
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31 | 165 | |
1,505 | 4,366 | |
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2.0 | 8.4 | |
4 days ago | 9 days ago | |
Perl | R | |
- | GNU General Public License v3.0 or later |
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/
r4ds
Posts with mentions or reviews of r4ds.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-24.
- Ask HN: Learning Maths from the Ground Up
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Any suggestions on where I can learn R studio for an affordable cost?
https://r4ds.hadley.nz is free and very good
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Help with Understanding data loading/cleaning in R.
R for Data Science teaches you the tidyverse packages, which makes data wrangling so much easier!
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Learning R & statistics
One of the best free resources is the R4DS book by Hadley Wickham. You should make sure you start with the in progress second edition. https://r4ds.hadley.nz/
- Trying to learn Rstudio
- Questions as incoming PhD political science student
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First R project
The first edition of R4DS is quite old now. Check out the soon to be released second edition: https://r4ds.hadley.nz/
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Is R dead?
R for Data Science (2nd Ed), the updated guide from Hadley Wickham
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[Career] Strong Mathematics Background, Limited "Technical" Background
The big skills gap you have is in practical data exploration and transformation, which will be a large part of any data-centric role. As much as people may have distaste for it, there is no avoiding data manipulation as critical foundational enabler of all inferential and predictive modeling work. SQL is the lingua franca here and well worth picking up the basics (joins, window functions, handling dates and times, etc.), plus learning how to implement similar transformations in R and Python. With appropriately transformed data, you then need to be able to visualize it effectively using tools like Tableau or ggplot2 in R. I would not necessarily seek courses or certificates in it but expect to be evaluated on them in technical interview screenings, so self-study accordingly. R for Data Science by Hadley Wickham is a great free resource for these topics for R.
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There’s a lot of data science books out there, any recommendations for must-reads?
I just looked and there is now a second edition! https://r4ds.hadley.nz/
What are some alternatives?
When comparing ggplot2-book and r4ds you can also consider the following projects:
cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
swirl - :cyclone: Learn R, in R.
dtplyr - Data table backend for dplyr
fasteR - Fast Lane to Learning R!
forcats - 🐈🐈🐈🐈: tools for working with categorical variables (factors)
tidytuesday - Official repo for the #tidytuesday project
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.
R-vs.-Python-for-Data-Science
mech - 🦾 Main repository for the Mech programming language. Start here!
lab02_R_intro - Vežbe 2: Uvod u R
plotnine - A Grammar of Graphics for Python
viridis - Colorblind-Friendly Color Maps for R