tidytuesday
wordcloud2.js
tidytuesday | wordcloud2.js | |
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79 | 4 | |
6,400 | 2,307 | |
1.0% | - | |
8.4 | 2.1 | |
5 days ago | 10 months ago | |
HTML | JavaScript | |
Creative Commons Zero v1.0 Universal | MIT License |
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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.
wordcloud2.js
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[OC] Word cloud of Eurovision song titles (1956-2022)
This was my submission to the [TidyTuesday](https://github.com/rfordatascience/tidytuesday) challenge this week ([see my original Twitter post here](https://twitter.com/MrPecners/status/1526761640410095622)). * Tools used: I built this with R using the {wordcloud2} package, which itself uses the [wordcloud2.js library](https://github.com/timdream/wordcloud2.js/).* **Code**: https://github.com/Pecners/tidytuesday/blob/master/2022/2022-05-17/final_plot.R* **Data source**: This data was scraped from the Eurovision website by Tanya Shapiro (Twitter: @tanya_shapiro). You can access the data on TidyTuesday's repo [here](https://github.com/rfordatascience/tidytuesday/blob/master/data/2022/2022-05-17/eurovision.csv).I honestly don't know much about the history of Eurovision, but it seems there was only a final round up until 2004. In any case, that's how the data was provided. Therefore, there are more songs per year from years since 2004.To process the title text, I removed stopwords from 15 languages, and I removed leading apostrophes (e.g. l'amour became amour).
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[OC] Most common words in book titles on the NYTimes best seller list (Oct. 1931 - Dec. 2020)
This was my submission (Twitter post here) to the TidyTuesday project this week. Tools used: R, specifically the {wordcloud2} package, which itself leverages the wordcloud2.js library.
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Acessing DOM by id
I'm using https://github.com/timdream/wordcloud2.js to create wordclouds, the only usage they have is using document.getElementById(), what would the alternative be ?
What are some alternatives?
data - Data and code behind the articles and graphics at FiveThirtyEight
wordcloud2 - R interface to wordcloud for data visualization.
gganimate - A Grammar of Animated Graphics
cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
r4ds - R for data science: a book
awesome-public-datasets - A topic-centric list of HQ open datasets.
big-mac-data - Data and methodology for the Big Mac index
ggsunburst
EconomicTracker - Download data from the Opportunity Insights Economic Tracker — https://tracktherecovery.org/
OKRs-self-learning - Sophia's OKRs for learning how to code.
dataRetrieval - This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services.
swirl - :cyclone: Learn R, in R.