swirl
tidytuesday
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swirl | tidytuesday | |
---|---|---|
58 | 79 | |
1,095 | 6,387 | |
0.7% | 1.8% | |
0.0 | 8.4 | |
6 months ago | 9 days ago | |
R | HTML | |
GNU General Public License v3.0 or later | Creative Commons Zero v1.0 Universal |
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swirl
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Any suggestions on where I can learn R studio for an affordable cost?
R, the language you mean? I really like swirl, and my students do to.
- A little help for a pretty new bioinformatics student
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How to learn R for free?
I second using swirl for basics. Gets you coding straight in the terminal and is interactive. Great way to get started.
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Where to learn R?
Note, the R website has lots of manuals/introduction documentation and there’s also the swirl package to supplement / replace some of the options above.
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Help Please !
Hey, have you tried swirl? It's an interactive learning experience at a variety of difficulty levels.
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What is the recommended statistic language that a Policy analyst (EC group) should learn ?
Try this https://swirlstats.com/
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Would love your college course PowerPoints on how to use R Studio
My colleagues recommend installing a package called "swirl" and working through their tutorials. https://swirlstats.com/ I don't personally know a whole lot about it, but I have heard good things.
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Would love your college PowerPoints on how to use R Studio
swirl
- Resources for learning R?
- [S] [E] Tool to "play around with" statistical analysis
tidytuesday
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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?
r4ds - R for data science: a book
data - Data and code behind the articles and graphics at FiveThirtyEight
fasteR - Fast Lane to Learning R!
gganimate - A Grammar of Animated Graphics
100ProjectsOfCode - A list of practical knowledge-building projects.
cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
pols3316-summer2022 - Lab materials, assignments, and other materials for my students in Statistics for Political Science, POLS 3316, Section 1, at University of Houston, Summer 2022.
TidyverseSkeptic - An opinionated view of the Tidyverse "dialect" of the R language.
awesome-public-datasets - A topic-centric list of HQ open datasets.
algs4 - Algorithms in C# ported from the book "Algorithms 4th Edition".
big-mac-data - Data and methodology for the Big Mac index