That’s cool — just realised I can share easily share live versions of Altair charts from Jupyter notebooks using Vega. Here’s the complete ‘aliens’ chart.
That’s cool — just realised I can share easily share live versions of Altair charts from Jupyter notebooks using Vega. Here’s the complete ‘aliens’ chart.
And also “coloured alien” which, not suprisingly, peaks in 1901 when the Immigration Restriction Act is passed…
Exploring some of the adjectives attached to ‘alien’ in @TroveAustralia newspapers…
You can create these sorts of comparisons yourself using this app. #dhhacks
Just to emphasise my point the other day about the impact of stemming on searches for naturalisation/naturalization in @TroveAustralia. Compare these — the stemming on/off results for ‘naturalisation’ are pretty much in proportion, but not for ‘naturalization’…


Nothing like browsing the databases of another country’s national/state archives to make you realise how useful the series system is…
The Australian version of ‘Who’s responsible?’ is up! Just select a government function and explore the different agencies associated with it over time. It’s built with data from @naagovau’s RecordSearch. Try it live! #dhhacks
New notebook added to the #GLAMWorkbench RecordSearch repository — get the basic details of agencies associated with all government functions used in @naagovau’s RecordSearch and save to a single JSON data file. View code and data. #dhhacks
Hmm, wondering why the ‘National Council of Women of the Australian Capital Territory’ is assigned the function ‘CITIZENSHIP’ in @naagovau’s RecordSearch…
As well as cross-posting updates to Twitter and Mastodon, I’ve now set up IFTTT to keep an eye on my micro.blog feed and post anything with the hashtag #dhhacks to my 101 DH Hacks FB page!
Fun fact — the Porter stemming algorithm treats the words ‘naturalisation’ and ‘naturalization’ differently. Naturalisation is stemmed to ‘naturalis’, naturalization to ‘natur’. You can try this yourself using this NLTK stemming demo. Why does this matter? If you try searching for ‘naturalization’ in Trove you get almost 14 million results, most of which aren’t relevant because they’re matching words like ‘nature’. Of course you can switch off stemming in Trove by using the text: modifier.
I have a brand new updates page powered by micro.blog!