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#canssi — Public Fediverse posts

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  1. I gave a brief talk at Ontario yesterday on what I've been learning from and folks about interactive map-making w large vector data (e.g. 200k+ features)

    Slides: silviacanelon.com/talk/2022-th

    I added a bonus slide after the talk to include excellent feedback from attendees 🙌

    Thanks @rohanalexander for the nudge to submit & @michaeldorman84, Sharla, Ana, @milesmcbain and @vb_jens for offering suggestions featured in the slides :blobcatbaguettehero:

    @rstats

  2. @vb_jens gave a very meaningful presentation at #CANSSI on the #officialstatistics data ecosystem in Canada, specifically for the georeferenced data, and how the different APIs can talk to one another and be piped mountainmath.ca/canssi/

    The part that is generalizable to other applications is `library(tongfen)` to get the least common denominator to the geographies like census tracts from different vintages (or I would guess census tracts to postal codes).

    #rstats #ggplot #datascience #gis

  3. @apreshill such a terrific presentation at #CANSSI -- see apreshill.com/talk/2022-canssi #datascience #rstats #rmarkdown #quarto #jupyter

    Alison talked about what *is* a notebook; the features of good notebooks -- good and bad smells around organizing notebooks; the features that add to usability and readability and overall utility of notebooks. I can steal every slide and explain how it applies to my work :heart:. Immersion in #DisneyWorld constructed reality is a bonus.