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572 results for “nrennie”

  1. A simple stacked bar chart for this week, looking at disparities in the number of male and female tortoises 🐢

    Made with Plotnine in 📊

    Code: github.com/nrennie/tidytuesday

  2. Did you know you can now access data in as well as ?

    Here's a plot of this week's data about Pixar films made with Plotnine! 📊

    💻 Import data using PyDyTuesday
    🎨 Coloured subtitle text added with highlight_text
    🖊️ Fonts installed with pyfonts by Joseph Barbier

    Code: github.com/nrennie/tidytuesday

  3. I'm absolutely thrilled to be one of the runners up in the 2024 Plotnine Contest! 📊

    You can view my annotated area chart and blog post about it's creation here: nrennie.rbind.io/blog/plotnine

    Winners announcement: posit.co/blog/winner-of-the-20

  4. A quick chart looking at the rankings of different clubs in the FA Women's Super League for this week!

    📊 chart made using `plotnine` in Python
    ✍️ coloured and bold text added with `highlight-text`
    💡 Googling for `plotnine` help? Add a -ggplot2 to your search to hide ggplot2-specific results!

    Code: github.com/nrennie/tidytuesday

  5. 🚨 New blog post! 🚨

    I've written up a tutorial blog post showing you how to make annotated area charts using plotnine in Python (with a little bit of help from highlight-text and matplotlib to add coloured text as a subtitle)! 📊

    (possibly of interest to users who make plots with !)

    Blog post: nrennie.rbind.io/blog/plotnine

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. I really enjoyed giving a brief introduction to Julia for statisticians yesterday - thanks to Jake Grainger and Charles Dufour for organising such a great session!

    Slides: nrennie.rbind.io/talks/rss-int

    @tidierjl

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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