Hi All. It's been a while since I've done a
#tidytuesday! I picked the D&D Spell Dataset and used it as an opportunity to better learn
#observablehq
Avec 7 prix pour des hommes et un prix pour une femme, l'édition 2024 des prix Nobel ne risque pas de rééquilibrer le fossé des genres.
Tout l'historique des Nobel par genre est dans ce notebook :
https://observablehq.com/@pac02/all-nobel-laureates-by-gender-and-by-year
In this notebook, I look at all Nobel laureates from the beginnings to today by gender, number of sitelinks and year. The data are retrieved from Wikidata using a <a href="https://query.wikidata.org/# ">SPARQL query</a>. I find Nobel laureates in the database. The number of sitelinks measure the number of pages or articles dedicated to a topic on various Wikimedia projects such as Wikipedia in different languages. All Nobel together Each dot is a Nobel laureate. The size is proportional to number of sitel
I love Observable Framework! I've also always loved Observable's Notebook and I'm a bit concerned that the Notebook has been abandoned. I wrote about this here:
https://mcmcclur.observablehq.cloud/mark-on-framework/posts/TheNotebook/
#observablehq
This topic is setup so that people can respond to that post about using Mastodon to make comments within Observable Framework. Replies here will show up as comments on that post.
Notebook Wikidata du soir
Un outil pour obtenir la liste des éléments #Wikidata créés par un ou une contributeurice avec les libellés
https://observablehq.com/@pac02/wikidatas-list-of-created-items
C'est pas nouveau mais je l'ai réparé et amélioré.
Wikidata's list of created items As a Wikidata contributor, it's not easy to have an overview on the list of items you've created. xtools pages created provides the list of items created by a Wikidata contributor. Yet, the tool has been designed for Wikipedia. Hence, page titles (qid) are displayed without any label. This notebook combines xtools pages created API with Wikidata's API to provides a list of created items with their label. This is preliminary work. All feedback would be greatly appreciated. Yo
Observable is a javascript-based notebook platform. It's a data visualization platform, but also an excellent way to experiment with javascript code frictionlessly or integrate interactivity into a written document.
My previous blog posts are all Markdown-formatted, but with the option of Observable-formatted blog posts I can add interactive capabilities in a structured way.
Bayesian analysis of Multinomial data using a Dirichlet prior with javascript in #observablehq
https://observablehq.com/@mattiasvillani/multinomial-dirichlet
Consider multinomial data , where is the number of counts in category . The multinomial distribution has probability mass function where is the probability of an observation in category c and . The most commonly used prior distribution for is the Dirichlet distribution. If then the density of is where and is the multivariate Beta function. Prior Data <br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> The ternary plot comes from @fil's notebook
Nicolas Lambert 🌏
Ted Laderas
PAC2
Mark McClure
Harris Lapiroff
Mattias Villani
Yoni