tidytuesday
cheatsheets
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tidytuesday | cheatsheets | |
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79 | 60 | |
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tidytuesday
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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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[OC] Popularity of Horror Movie Poster Color Schemes from 1970
Dataset: https://github.com/rfordatascience/tidytuesday/tree/master/data/2022/2022-11-01
- R projects/applications
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Really enjoying the R side of my degree.
If you donβt have the ability to do a real project in R but want experience, you can join a group of R users that get weekly data and perform some type of data tidying and then plotting. It will also really help you build a profile with your skills with coding and data viz https://github.com/rfordatascience/tidytuesday
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Sample datasets to practice skills
In addition, tidytuesday puts out a new dataset every week. Some are easy, some aren't, but that's life: https://github.com/rfordatascience/tidytuesday
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List of Places to Find Datasets
https://github.com/rfordatascience/tidytuesday A lot of datasets for analysis
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Useful databases
Tidy Tuesday is pretty good https://github.com/rfordatascience/tidytuesday
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has anyone got some good books?
For visualizations, you could follow/participate in TidyTuesday: a weekly "challenge" where you are given some data and plots to generate with that data. A lot of people participate, and most (if not all) post their code online. You can find most of them on Twitter with the #TidyTuesday hashtag. There's also the #30DayChartChallenge in the same vein. You can track some of the recurring participants' websites/github repositories to see their work & code (just to mention a few from the top of my head: Cedric Scherer, Lisa Debruine).
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where to practice R basics?
Check out TidyTuesday - it's a weekly project curated by the R4DS online learning community where participants are encouraged to get their hands dirty with some fairly simple projects. Most people share their solutions, so if you get stuck you can always look at how other people attempted it.
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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).
cheatsheets
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JSON to PDF Magic: Harnessing LaTeX and JSON for Effortless Customization and Dynamic PDF Generation
For more information on how to use ggplot2 and create charts consult the ggplot2 official page or the ggplot2 cheat graphic.
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Book recommendations for an rStudio newbie?
Though for me personally biggest change came when I started shifting from googling towards R help, vignettes and cheatsheets .
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Helm Intro and Cheatsheet
I took the time to arrange a "cheat sheet" of my favorite helm commands and the contexts in which they are useful. It was inspired by RStudio's array of excellent cheat sheets for the R community.
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Regex resources
I like to use the stringr cheatsheet for reference.
I used to have this stapled on my cubicle wall: https://github.com/rstudio/cheatsheets/blob/main/strings.pdf
- Best way to chart this data?(Beginner)
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Uncle Stats Wants You
Develop 'cheatsheets' for plotting, statistics, data-frames, akin to those in the tidyverse.
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Frustration: One Year with R
We used the books Hadley Wickham has published for R courses in my stats program [1].
I supplemented the theory parts of my other courses with some of these [2] R books about using the methods instead of deriving and proving properties about them.
There are also some R studio cheat sheets [3].
[2] https://www.routledge.com/Chapman--HallCRC-The-R-Series/book...
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Help with R R Studio
Cheatsheet of basic R https://github.com/rstudio/cheatsheets/blob/main/base-r.pdf
- Python vs Matlab vs R
What are some alternatives?
data - Data and code behind the articles and graphics at FiveThirtyEight
gganimate - A Grammar of Animated Graphics
r4ds - R for data science: a book
forcats - ππππ: tools for working with categorical variables (factors)
mostly-adequate-guide - Mostly adequate guide to FP (in javascript)
ggplot2-book - ggplot2: elegant graphics for data analysis
awesome-public-datasets - A topic-centric list of HQ open datasets.
ggsunburst
big-mac-data - Data and methodology for the Big Mac index
mech - π¦Ύ Main repository for the Mech programming language. Start here!
reveal.js - The HTML Presentation Framework
pandoc - Universal markup converter