tidytuesday VS OKRs-self-learning

Compare tidytuesday vs OKRs-self-learning and see what are their differences.

tidytuesday

Official repo for the #tidytuesday project (by rfordatascience)

OKRs-self-learning

Sophia's OKRs for learning how to code. (by sophi-li)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
tidytuesday OKRs-self-learning
79 2
6,317 451
1.8% -
8.4 0.0
10 days ago almost 2 years ago
HTML
Creative Commons Zero v1.0 Universal -
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.

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 2023-06-24.
  • Too old to continue my education? I'm lost.
    3 projects | /r/malaysiauni | 24 Jun 2023
    For R, I don't have specific resources, but I remember I started out with doing tidytuesdays challenge (https://github.com/rfordatascience/tidytuesday).
  • [OC] Popularity of Horror Movie Poster Color Schemes from 1970
    2 projects | /r/dataisbeautiful | 29 Apr 2023
    Dataset: https://github.com/rfordatascience/tidytuesday/tree/master/data/2022/2022-11-01
  • R projects/applications
    2 projects | /r/RStudio | 3 Nov 2022
  • Really enjoying the R side of my degree.
    2 projects | /r/rstats | 30 Oct 2022
    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
  • Sample datasets to practice skills
    2 projects | /r/RStudio | 21 Oct 2022
    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
  • List of Places to Find Datasets
    2 projects | /r/learndatascience | 14 Oct 2022
    https://github.com/rfordatascience/tidytuesday A lot of datasets for analysis
  • Useful databases
    2 projects | /r/datascience | 26 Aug 2022
    Tidy Tuesday is pretty good https://github.com/rfordatascience/tidytuesday
  • has anyone got some good books?
    2 projects | /r/RStudio | 26 Aug 2022
    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).
  • where to practice R basics?
    2 projects | /r/datascience | 22 Jun 2022
    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.
  • [OC] Word cloud of Eurovision song titles (1956-2022)
    3 projects | /r/dataisbeautiful | 20 May 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).

OKRs-self-learning

Posts with mentions or reviews of OKRs-self-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-30.

What are some alternatives?

When comparing tidytuesday and OKRs-self-learning you can also consider the following projects:

data - Data and code behind the articles and graphics at FiveThirtyEight

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.

ggsunburst

big-mac-data - Data and methodology for the Big Mac index

EconomicTracker - Download data from the Opportunity Insights Economic Tracker — https://tracktherecovery.org/

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.

data-screencasts - Code from live exploratory analyses of data in R

ebayScraper - Scrape all eBay sold listings to determine average/median pricing, plot listings over time with trend lines, and extract to excel