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572 results for “nrennie”

  1. Thanks to Forecasting for Social Good for inviting me to deliver a workshop on "Forecasting with Generalised Additive Models (GAMs) in R" today! We talked about:

    ❓ What are GAMs?
    ❓ How do we fit GAMs in R?
    ❓ Model evaluation and forecasting
    ❓ When GAMs go wrong!

    Slides: nrennie.github.io/f4sg-gams

    GitHub: github.com/nrennie/f4sg-gams

    Posit Cloud: posit.cloud/content/7637971

    #RStats #Forecasting #R4DS #F4SG

  2. Thanks to Forecasting for Social Good for inviting me to deliver a workshop on "Forecasting with Generalised Additive Models (GAMs) in R" today! We talked about:

    ❓ What are GAMs?
    ❓ How do we fit GAMs in R?
    ❓ Model evaluation and forecasting
    ❓ When GAMs go wrong!

    Slides: nrennie.github.io/f4sg-gams

    GitHub: github.com/nrennie/f4sg-gams

    Posit Cloud: posit.cloud/content/7637971

    #RStats #Forecasting #R4DS #F4SG

  3. @nrennie

    Shout out to this interactive climate spiral graph version created with #svelte, #layercake, #threlte, #d3 and#gsap by Yi Zhe Ang:

    svelte.dev/repl/05de947c5aa34f

    After the thing loaded and the animation is done you can interact with the rotating spiral (includes dragging and zooming)!

  4. I really enjoyed talking about classifying phonocardiogram signals to detect heart murmurs at the N8 CIR Digital Health Community Day yesterday!

    Slides: nrennie.rbind.io/talks/n8-digi

    📷 N8 CIR

  5. This weekend I finally got around to deploying a Shiny app wih webR! I've finally put together (almost) all of my plots into one place and it made it easier to browse based on the packages used! 📦

    You can view the webR-powered app here: nrennie.github.io/tidytuesday-

    (may take a while to load - not advised to try on mobile!)

    Code on GitHub: github.com/nrennie/tidytuesday

  6. A simple plot for this week's hiding lots of messy data wrangling in the background! I calculated the change in estimated number of open museums in areas with different levels of deprivation 🏛️🏛️🏛️

    Code: github.com/nrennie/tidytuesday

  7. Inspired by Calle Börstell to make something akin to radio dials for this week's dataset on radio stations in the USA!

    Thanks to Frank Hull and Erin for the data this week!

    Code: github.com/nrennie/tidytuesday

  8. Inspired by Cara Thompson
    to make some cakes for this week's using Great British Bake Off data! 🍰 🍰 🍰 The {bakeoff} R package is awesome!

    Code: github.com/nrennie/tidytuesday

  9. Using the same data as I did on day 2, I re-created this map of GDP in South America for of the ! 🐍🐍🐍 It was interesting to re-make a similar map in for a change!

    Code: github.com/nrennie/30DayMapCha

  10. Exploring in for the "3D" theme on of the ! ☁️☁️☁️I had fun creating layers of cloud cover over the Western Isles for this one!

    Code: github.com/nrennie/30DayMapCha

  11. A map of the Western Isles for the "Islands" theme on of the - with a few distillery locations highlighted! 🎨Colours based on the Western Isles tartan! 🏴󠁧󠁢󠁳󠁣󠁴󠁿

    Code: github.com/nrennie/30DayMapCha

  12. Cities in the UK have a much higher density of Greggs per area than rural areas - shown using the {biscale} package in this map for the "Two Colours" theme!

    Code: github.com/nrennie/30DayMapCha

  13. I used the {rStrava} package to grab my own data for the "movement" theme on of the ! 🏃‍♀️🏃‍♀️🏃‍♀️ Here's an animated gif of my Great North Run data from this year!

    Code: github.com/nrennie/30DayMapCha

  14. Revisiting the Greggs data once again for the "NULL" theme on of the - identifying council and unitary authority areas with no branches of Greggs!

    Code: github.com/nrennie/30DayMapCha

  15. Half way through the ! Obviously going back to the Greggs data for "Food/drink" theme on ! Inspired by Abdoul Madjid (@issa_madjid on Twitter) to map every branch of Greggs connected to its 10 nearest neighbours 🍞

    Code: github.com/nrennie/30DayMapCha

  16. Not super happy with this contribution for of the - for the theme of "scale" I tried to show how a poor choice of projection results in scales that don't make sense!

    Code: github.com/nrennie/30DayMapCha

  17. It's of the - we're 1/3 of the way through already! The "bad map" theme was difficult - but a poor projection and a garish colour scheme does help!

    Code: github.com/nrennie/30DayMapCha

  18. For the "space" theme on of the I've taken an abstract approach and mapped out the solar system 🪐🪐🪐

    Code: github.com/nrennie/30DayMapCha