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Humans of Wikipedia | Atlas Map
Humans of Wikipedia | Atlas Map
Explore the lives and legacies of over 1.4 million individuals documented in English Wikipedia’s biographical articles, complete with detailed metadata. This dataset was created by combining two data sources: 1. English wikipedia text from the Wikimedia Foundation's HuggingFace Dataset (https://huggingface.co/datasets/wikimedia/wikipedia) 2. Rich metadata for 2.4 million biographical wikipedia articles, of which 1.4 million were English articles (https://data.sciencespo.fr/dataset.xhtml?persistentId=doi:10.21410/7E4/RDAG3O) Citation for second source: Morgane Laouenan, Palaash Bhargava, Jean-Benoît Eyméoud, Olivier Gergaud, Guillaume Plique, Etienne Wasmer (2022) A cross-verified database of notable people, 3500BC-2018AD, Scientific Data, June 2022.
·atlas.nomic.ai·
Humans of Wikipedia | Atlas Map
Vizro-AI
Vizro-AI
·vizro.readthedocs.io·
Vizro-AI
Datasette
Datasette
Datasette is a tool for exploring and publishing data. It helps people take data of any shape, analyze and explore it, and publish it as an interactive website and accompanying API.
·datasette.io·
Datasette
Financial Times Visual Vocabulary: Tableau Edition
Financial Times Visual Vocabulary: Tableau Edition
We're all in the never ending search for resources that will help us pick the "best" chart for the situation. The Financial Times Graphics...
·vizwiz.com·
Financial Times Visual Vocabulary: Tableau Edition
Financial Times Visual Vocabulary: Tableau Edition
Financial Times Visual Vocabulary: Tableau Edition
We're all in the never ending search for resources that will help us pick the "best" chart for the situation. The Financial Times Graphics...
·vizwiz.com·
Financial Times Visual Vocabulary: Tableau Edition
Tom Hanks Cinematic Universe
Tom Hanks Cinematic Universe
Explore the box office releases that Tom Hanks has appeared in and the actors appearing with him
·public.tableau.com·
Tom Hanks Cinematic Universe
Data Stack Reading List
Data Stack Reading List
I save all the interesting articles I'm reading here on this Notion document. After a lot of interest from people (thank you), I recently decided to make it public! Feel free to bookmark this. :) Always looking out for recommendations, so in case you come across any interesting article from the data world, do tweet to me at @prukalpa.
·atlanhq.notion.site·
Data Stack Reading List