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Tidytuesday Alternatives
Similar projects and alternatives to tidytuesday
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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awesome-public-datasets
A topic-centric list of HQ open datasets.
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cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/. (by rstudio)
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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EconomicTracker
Download data from the Opportunity Insights Economic Tracker — https://tracktherecovery.org/
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dataRetrieval
This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services.
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learnxinyminutes-docs
Code documentation written as code! How novel and totally my idea!
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reddit-top-2.5-million
This is a dataset of the all-time top 1,000 posts, from the top 2,500 subreddits by subscribers, pulled from reddit between August 15–20, 2013.
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SaaSHub
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tidytuesday reviews and mentions
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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 don’t 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).
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A note from our sponsor - SaaSHub
www.saashub.com | 28 Mar 2024
Stats
rfordatascience/tidytuesday is an open source project licensed under Creative Commons Zero v1.0 Universal which is not an OSI approved license.
The primary programming language of tidytuesday is HTML.