tidytuesday
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tidytuesday | website | |
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79 | 33 | |
6,387 | 58 | |
1.8% | - | |
8.4 | 7.8 | |
8 days ago | 7 days ago | |
HTML | Svelte | |
Creative Commons Zero v1.0 Universal | - |
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.
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.
website
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Airfoil
Also check out https://pudding.cool if you’re unfamiliar and enjoy extremely high effort visualizations alongside editorial and educational text content.
- Generational shifts in popular music
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What's the relationship between JS and Python in a data viz website?
Hello all, I am a JS beginner and I am passionate for creating data-driven stories on a website, like Pudding. I have watched some YT videos and learned that Python is a basic skill for dealing with data. However, I am confused about what Python does in such website? I know JS and it libraries like D3.js are used for front-end development and interactive data display, then what's the role of Python? For the website backend (such as Django)? Or is used for data cleaning and analysis? Or others? Or python is not actually required for making a data-driven story website?
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Help! Looking for a highly interactive data journalism/viz piece/website but can't find it
https://pudding.cool/ ?
- Ask HN: What are your favorite RSS feeds?
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for a CS PhD student in a different area, how long does it take to learn fundamentals of frontend?
The main reason why I've got interested in frontend is that (1) it seems to be a field that can be much more diverse and collaborative across different fields (ex: working with designers) and (2) it directly interacts with users. Interactive journalism, data visualization, data storytelling (as in The New York Times or The Pudding) are my main interests currently, so it is more accurate to say I got interested in frontend with focus on those specific fields.
- Ask HN: What other news feeds do you read besides Hacker News?
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What’s the coolest website you know of that you want others to check out?!
pudding.cool, statistical analysis of things like rap lyrics
- What's a strange but awesome website that everyone should know about?
- Que tipo de conteúdo de sites vocês mais gostam ou gostariam de acessar e por quê?
What are some alternatives?
data - Data and code behind the articles and graphics at FiveThirtyEight
scrollama - Scrollytelling with IntersectionObserver.
gganimate - A Grammar of Animated Graphics
Fun-Programming - Code from the Fun Programming creative coding tutorials and my own random sketches
cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
top-tic-tac-toe-js - A tic-tac-toe game written in JavaScript that you can play in your browser.
r4ds - R for data science: a book
p5.js-web-editor - The p5.js Editor is a website for creating p5.js sketches, with a focus on making coding accessible and inclusive for artists, designers, educators, beginners, and anyone else! You can create, share, or remix p5.js sketches without needing to download or configure anything.
awesome-public-datasets - A topic-centric list of HQ open datasets.
git-history - Quickly browse the history of a file from any git repository
big-mac-data - Data and methodology for the Big Mac index
manim - A community-maintained Python framework for creating mathematical animations.