Chris Groves

It's Pieces Of UK, Linguistics, Wikidata, SPARQL, Data, Visualisation, Genealogy, History, p5.js, Observable

[Chris Groves @piecesofuk]

Created a webpage to solve anagrams, find missing letters in crosswords etc. Works in English, searches in other languages not fully implemented. Written with p5.js & runs SPARQL queries via the Wikidata Query Service (WDQS) searching Wikidata lexeme forms https://t.co/ANVKudfD6t

[WDYTYA? Magazine @wdytyamagazine]

There's an unmissable offer of free access to all Findmypast records apart from the 1921 census this weekend. Find out mow to make the most of it with our guide:

https://t.co/b9ZOSqtrEY

[Wikidata @wikidata]

Intangible cultural heritage, politicians on Mastodon and data about cities: here's what happened around #Wikidata over the past week! https://t.co/HkbBBcIrhP

[Wikidata @wikidata]

#WikidataBirthday, solving anagrams and filmi music: here's what happened around #Wikidata over the past few week! https://t.co/2wIsDhxhRu #WD10

[Andy Mabbett @pigsonthewing]

I transcribed "A Selection of Original Songs, Scraps, Etc., by Ned Farmer" by Edward Farmer (whose memorial I recently photographed in
St Editha's churchyard, Tamworth) on @Wikisource_en

https://t.co/JJ7z2r6gG9

[Chris Groves @piecesofuk]

Good to see Wikidata is keeping up to date with the latest political movements in the UK

[Chris Groves @piecesofuk]

12 British Monarchs & 56 British Prime Ministers: graph visualisation generated using the Wikidata Query Service (WDQS) using SPARQL https://t.co/rMQAGKV1ox

[NLS Map Collections @natlibscotmaps]

New maps alert! Special Emergency Edition, 1938-39
https://t.co/xN9tYDvnDa

[Wikidata @wikidata]

Songwriters, Vehicles and Streets: here is what happened around #Wikidata over the past week! https://t.co/qyvdGEwVVO

[Chris Groves @piecesofuk]

@BNArchive Looks like these links are working now

[Chris Groves @piecesofuk]

@BNArchive whenever I click on the More details button of a newspaper I keep getting the error "This beta site is having technical difficulties", for example this link https://t.co/P8eqFLITAh

[Wikidata @wikidata]

Queries on Wikidata's data are a powerful way to learn something new about the world. Here are some to get you started. Just open the link, hit the play button and off you go.

#wikidatabirthday is coming soon

[Wikidata @wikidata]

A ton of great apps, websites, services and more have been built on top of Wikidata. Here are 10 of them. What's your favorite one?

#wikidatabirthday is coming soon

[Wikidata @wikidata]

Klingon lexemes, Controversies and Nobel Prize winners: here is what happened around #Wikidata over the past week! https://t.co/YCXdeYJ5mb

[Wikidata @wikidata]

Time, Paintings and Birds: here is what happened around #Wikidata over the past week! https://t.co/dx47RvD0V0

[Chris Groves @piecesofuk]

@WikidataThreads It would have been better if I could get the colour values from Wikidata but the flag of Ukraine Wikidata item https://t.co/rYMkO5eyM7 has the wrong colour values

[Chris Groves @piecesofuk]

Wikidata items located in Ukraine; map visualisation generated using the Wikidata Query Service (WDQS) using SPARQL https://t.co/KYVtg8qpdd

[Chris Groves @piecesofuk]

@WikidataThreads @observablehq Did you see that your Tour de France flags visualisation was featured in the latest Observable "Plot Twist" newsletter?

[Chris Groves @piecesofuk]

Mapping the 34000+ Wikidata items in Wales with coordinate location and elevation above sea-level statements, coloured by elevation, produced using the Wikidata Query Service (WDQS) with SPARQL (my ancient Chromebook does struggle to render the map) https://t.co/ojRGCTOEyf

[Tagishsimon @Tagishsimon]

@wm_au Without shadow of doubt, the Wikidata Query Service tutorial by Wikimedia Israel, which explains basic SPARQL and the wikdata data model as clearly as one could ever hope. Excellent piece of work.

* https://t.co/2pdbG3XsSa

[We Thneed Clean Air @KnitMeAThneed]

👇a masterclass in how to combine spreadsheets/Quickstatements/Sparql query to quickly and easily add data to #Wikidata. It's a process that had I understood sooner, would've allowed me to batch edit long before I learned #OpenRefine (and I still use it for quick stuff).