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Data Analyst & Science Lead @ Atlas of Living Australia | Evolutionary biologist & social psychologist (PhD) 🧪 | #rstats | Music enthusiast 🎶

(he/him)

Websitehttps://daxkellie.com/
GitHubhttps://github.com/daxkellie

Want to learn how to make a #dataviz or run an #analysis on ecological/biological data in R?

Check out ALA Labs to to find something new!

https://labs.ala.org.au/

#rstats #QuartoPub

ALA Labs

Demo projects, experiments, debugging data and so on from the Atlas of Living Australia (ALA)

ALA Labs

After I shared an animal dataviz earlier this month, some people asked to see the plants version 🌱 So here it is!

Plant observations added to the Atlas of Living Australia in 2024! 🌏🌼 Flowering plants really dominate!

code: https://github.com/AtlasOfLivingAustralia/science/blob/main/comms/2024-09-25_plantae/bubble-chart_plants.R

#rstats #dataviz

science/comms/2024-09-25_plantae/bubble-chart_plants.R at main · AtlasOfLivingAustralia/science

Repo for code produced by the ALA Science & Decision Support Team - AtlasOfLivingAustralia/science

GitHub

Thanks @georgios for sharing your code for what I thought was a perfect way to visualise counts & categories 🤩🙏: https://github.com/gkaramanis/tidytuesday/tree/master/2024/2024-week_28

I've basically just reworked your great dataviz to show taxonomic groups instead, so you deserve credit!

tidytuesday/2024/2024-week_28 at master · gkaramanis/tidytuesday

Code and plots for submissions to the #tidytuesday challenge - gkaramanis/tidytuesday

GitHub

For biodiversity month, I made this #dataviz of animal observations added to the Atlas of Living Australia in 2024! 🌏

🐦 Perching birds (eg songbirds, finches, magpies) are truly #1 🥇 & for good reason: They represent > half of all bird species globally!

code: https://github.com/AtlasOfLivingAustralia/science/blob/main/comms/2024-09-10_animalia/bubble-chart.R

#rstats #ggplot2

science/comms/2024-09-10_animalia/bubble-chart.R at main · AtlasOfLivingAustralia/science

Repo for code produced by the ALA Science & Decision Support Team - AtlasOfLivingAustralia/science

GitHub

I was having a real problem using {testthat} on a function with lots of {cli} messages because messages printed in my tests even though I didn't want them to 😑

But then I came across `purrr:quietly()`, which captures output, warnings and messages in a list rather than in the console 😀

#rstats

I only just discovered the `lst()` function from the {tibble} package, but it is so wonderfully convenient if you work with lists!

Normally, naming & renaming list elements is a pain 😑, but `tibble::lst()` retains the names of the elements used to make the list 😎

#rstats

I was doing some reading about these power generating ocean buoys, and it's interesting to see all the complaints that pop up any time someone tries to make a new way to capture energy. Suddenly, people really care about the environmental impact of these methods, but never ever in comparison with coal and oil.
I still hear naysayers about solar panels, despite the fact that GPS and the International Space Station has used them for decades.
They really care about the migration patterns of Ducks when we start talking about wind power, but get an Oopsie about a massive oil spill.
Loss of life is very important for alternative methods, but no discussion about the impact when it comes to oil drilling and coal mining.
The fact of the matter is even setting aside the environmental impact, coal and oil are finite resources. Of course, we should care about the impact of how we produce energy, but we have to stop falling for false equivalency. Everything will have a downside, but we can address those issues and still move forward.

🐝 A blue banded bee for #NationalHoneyBeeDay!

Every circle’s size is proportional to the number of observations each day since 2001

#rstats #dataviz #AusScienceWeek

Future of PDFs: Quarto can now generate PDFs without Latex! It does this by using a new markup-based typesetting system under development called typst. "You can produce really beautiful PDFs" Charlotte Wickham tells #PositConf2024
#QuartoPub
https://quarto.org/docs/output-formats/typst.html
Typst Basics – Quarto

Quarto
Some really nice tips in here about loading large spatial data in #R with the sf package by @statsrhian. I did not know many of these. https://www.jumpingrivers.com/blog/large-spatial-data-r-sql/
Reading large spatial data

Reading in large spatial data can sometimes be a pain. Here are some simple things to consider when working in spatial data in R and tips for breaking large data sets into more manageable chunks.