wordcloud2
R interface to wordcloud for data visualization. (by Lchiffon)
tidytuesday
By Pecners
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wordcloud2 | tidytuesday | |
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1 | 3 | |
397 | 24 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | over 1 year ago | |
JavaScript | R | |
- | - |
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.
wordcloud2
Posts with mentions or reviews of wordcloud2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-13.
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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.
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 2022-05-20.
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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)
R code here.
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[OC] Board game ratings among popular game series/themes
Tools: R (code here)
What are some alternatives?
When comparing wordcloud2 and tidytuesday you can also consider the following projects:
wordcloud2.js - Tag cloud/Wordle presentation on 2D canvas or HTML
tidytuesday - Official repo for the #tidytuesday project