https://github.com/hadro/smithsonian_data_fun
https://github.com/hadro/smithsonian_data_fun
Last synced: over 1 year ago
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- Host: GitHub
- URL: https://github.com/hadro/smithsonian_data_fun
- Owner: hadro
- Created: 2020-02-29T23:31:53.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-03-01T19:52:00.000Z (over 6 years ago)
- Last Synced: 2025-01-18T17:24:04.981Z (over 1 year ago)
- Language: JavaScript
- Size: 13.5 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Smithsonian Data Fun
I futzed with the code that Matt Miller developed, and all I got was this dumb word cloud.
What I did was:
- run [Matt's code](https://github.com/thisismattmiller/smithsonian-open-access) to parse the 11M Smithsonian open metadata records
- extracted all the names found in all the records using [pandas](https://pandas.pydata.org/) (but [jq](https://stedolan.github.io/jq/) is also super fun and useful to use with the output of Matt's scripts)
- then I used Matt's [fanart drawing of the right tower of the Smithsonian Castle](https://thisismattmiller.com/img/post_si_castle.png) as an image mask for a word cloud
- then I made a static IIIF representation of that image
- then I added it to Github and then I tweeted about it, and that's how we got here.
But seriously, here are some fun links of Matt's work and others that I was able to sew together in a few hours to fun effect:
- [The Smithsonian Open Access release that started it all](https://www.si.edu/openaccess)
- [Matt's Tweet about his data analysis and data viz efforts that started it all more specifically](https://twitter.com/thisismmiller/status/1233406325943668738)
- [Matt's blog post about his process and viz examples, also including fun easter eggs at the bottom which is where I got the fanart image of the Smithsonian Castle](https://thisismattmiller.com/post/smithsonian-open-access-data-release/)
- [The Python wordcloud library I used](https://github.com/amueller/word_cloud)
- [The static IIIF tile generator I used](https://github.com/zimeon/iiif/tree/master/demo-static)
- [My wordcloud as IIIF](https://hadro.github.io/smithsonian_data_fun/)