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#rshiny

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Extremely robust and well designed Shiny app from Curbcut, making massive amounts of local city data accessible via maps. They dealt with performance issues partly by pre-computing data for every city block 🤯 and storing those in qs files, as well as rendering pre-generated Mapbox vector tiles.
Worth watching the talk by Maxime Bélanger de Blois if/when it's online.
App: montreal.curbcut.ca/
GitHub: github.com/Curbcut/curbcut-mon
#RShiny #RStats #ShinyConf2025 #ShinyConf #dataviz

Looking forward to a (virtual) homecoming next week! Guest lecturing at my alma mater for STAT 447 @ UIUC on Wednesday, April 9, 6pm Central.

Shiny Without Boundaries: One App, Multiple Destinations

Deploy your #RStats #rshiny apps anywhere: cloud, desktop, browser & beyond.

Hey all, it's 2025!

Please, if anybody becomes aware of any global remote job opportunities in data science, analytics, web apps development, ML, generative AI, dashboards, & visualizations, kindly share with me, please. I am still searching for my next job role 🙏

My tech stack includes: R, R/Shiny, Python, Gradio, Gephi, Neo4j, Open-source LLMs, HTML, CSS, Javascript.

I'd appreciate any help!

Last year in July I was looking for a web application (#RShiny ?) that I had seen earlier that allowed to set different scenarios for awarding #Funding including #Lottery stages, severity of #peerreview thresholds, selection biases etc. Despite @aidybarnett help I was unable to unearth it.
➡️ mastodon.social/deck/@jrboehnk

But here we are again:
social-neuroscience-lab.com/re

#introduction 👋

So, in some ways the "chief tw@t" takeover of twitter has finally pushed me to wipe my account there and come over here for a hopefully better new home (but twitter has never felt like home though).

Anyway, I'm a data professional former statistician lately specialized in #rshiny #rstats #geospatial web apps. In the mix: #dataengineering #modelling #devops #datascience #programming

Living in London, working remotely for an agency in Milan

walking, theater, coffee, salmon