r4ds
R for data science: a book (by hadley)
tidytuesday
Official repo for the #tidytuesday project (by rfordatascience)
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r4ds | tidytuesday | |
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165 | 79 | |
4,349 | 6,380 | |
- | 1.7% | |
8.7 | 8.4 | |
6 days ago | 12 days ago | |
R | HTML | |
GNU General Public License v3.0 or later | 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.
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/
tidytuesday
Posts with mentions or reviews of tidytuesday.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-24.
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Recommendation for interesting datasets to work with?
TidyTuesday is a weekly data cleaning project where a new, interesting data source is linked to each week: https://github.com/rfordatascience/tidytuesday
- Rfordatascience/tidytuesday: Official repo for the tidytuesday project
- [OC] Tornados in the U.S. are becoming more frequent in off-peak months
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Too old to continue my education? I'm lost.
For R, I don't have specific resources, but I remember I started out with doing tidytuesdays challenge (https://github.com/rfordatascience/tidytuesday).
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First Project
Tidy Tuesday has data and links to more data. The nice thing about those data sets is that you can search for what other people did with the data on social media (e.g. Twitter).
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[OC] Popularity of Horror Movie Poster Color Schemes from 1970
Dataset: https://github.com/rfordatascience/tidytuesday/tree/master/data/2022/2022-11-01
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Tips on getting experience in R on GitHub
What you're describing is contributing to open source. Some things I'd suggest doing: - learn some git first - create GitHub account and create at least a practice repo - look at learning community-related repos, like Tidy Tuesday - follow R "power" users, people associated with RStudio, and similar folks on social media. Those folks will sometimes mention projects aimed at beginners.
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[OC] 2021-22 EPL Home/Away Goal Differential
Data: TidyTuesday April 4
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Publicly available datasets?
The Tidy Tuesday git repo has a lot of example datasets to work with.
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[OC] Kyle Feldt and his Chevalier Sheriffs: An Infographic of Feldt's NRL Tries
I mostly use ggplot2 in R for visualisations which means that The R Graph Gallery is my starting point for inspiration. The best thing to do is start with a simple idea that tells a story, and one of the best guys out there that does this is Cedric Scherer. He is involved a bit with the TidyTuesday project which I wish I had more time to play around with, and is a great starting point for developing a library of vis techniques.
What are some alternatives?
When comparing r4ds and tidytuesday you can also consider the following projects:
swirl - :cyclone: Learn R, in R.
data - Data and code behind the articles and graphics at FiveThirtyEight
fasteR - Fast Lane to Learning R!
gganimate - A Grammar of Animated Graphics
R-vs.-Python-for-Data-Science
cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
lab02_R_intro - Vežbe 2: Uvod u R
awesome-public-datasets - A topic-centric list of HQ open datasets.
viridis - Colorblind-Friendly Color Maps for R
big-mac-data - Data and methodology for the Big Mac index
ggplot2-book - ggplot2: elegant graphics for data analysis
ggsunburst