Haha yes!! It's an Irish robin ๐ฎ๐ช
09.03.2026 22:08
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Haha yes!! It's an Irish robin ๐ฎ๐ช
Announcing localtime, a #QuartoPub extension for displaying times in the reader's local timezone e.g.
{{< localtime 2026-03-09 20:30 UTC >}} will render as 2026-03-09 21:30 for someone in CET.
Has nice formatting options, and automatically accounts for daylight saving.
github.com/EllaKaye/loc...
Today I saw a Robin ๐๐ป
See full article: onlinelibrary.wiley.com/doi/10.1111/...
This #TidyTuesday looks at Golem Grad Tortoise Data ๐ข
On Golem Grad island, tortoises have become increasingly male-biased and females are showing declining body condition and reproductive output compared to the mainland population.
๐ Code: github.com/C-Monaghan/t...
#rstats #dataviz #ggplot2
This weekโs #TidyTuesday explores Science Foundation Ireland grant commitments. I built 100% stacked bar charts to show how yearly commitments are divided among the top research bodies.
#pydytuesday #matplotlib #dataviz
Sankey diagram titled 'Follow the Money' showing grant commitments from Science Foundation Ireland's top 10 programs to research institutions from 2000 to 2024. The Research Centres Programme dominates with โฌ991M in commitments, followed by the Principal Investigator Programme at โฌ594M. Trinity College Dublin is the largest recipient overall, receiving major funding from nearly all programs, followed by University College Dublin and University of Galway. Other significant recipients include University College Cork, University of Limerick, and Tyndall National Institute. The diagram reveals heavy concentration of funding among traditional universities, with smaller allocations to technological universities and research institutes.
This week's #TidyTuesday almost looks like modern art or something
tidytuesday.seanlunsford.com/...
This has been a challenge, but it's really cool!
#TidyTuesday
#ggplot2
#RStars
Beeswarm plot showing the number of grants awarded by Science Foundation Ireland across three decades (2000s, 2010s, 2020s), grouped by funding programme. The Research Frontiers Programme dominated the 2000s with 763 grants. In the 2010s, the Technology Innovation Development Award (496) and Conferences and Workshops Programme (434) were the largest. By the 2020s, the Discover Programme and Frontiers for the Future led, each with 393 and 321 grants respectively. Most other programmes across all decades awarded fewer than 150 grants.
Exploring Science Foundation Ireland programme groups with the most awarded grants from October 2021 to March 2025 for #TidyTuesday 2026, week 08.
Code: github.com/rajodm/TidyT...
#dataviz #rstats #ggplot2
Science Foundation Ireland Grants Commitments for #TidyTuesday, wk 8.
#Rstats #Dataviz #ggplot2
Line plots showing how much grant funding 7 universities in Ireland received from Science Foundation Ireland over a 25 year period. These universities include (in order of total grant funding): Trinity College Dublin, University College Dublin, University of Galway, University College Cork, University of Limerick, Dublin City University, and Maynooth University. Overall, Science Foundation Ireland committed 3.46 billion euro into university research.
This week for #TidyTuesday we're looking at Science Foundation Ireland grant funding.
Below we can see how much research funding each Irish university received over a 25 year period.
๐ Code: github.com/C-Monaghan/t...
#rstats #dataviz #ggplot2
Line chart showing the number of grants beginning each year from Science Foundation Ireland, for proposals containing the words 'science', 'technology', 'engineering', or 'mathematics'. There is an increase in 'science' titles from around 2015. An annotation notes the start of the Discover Programme in 2013.
I dug into the proposal titles from this week's #TidyTuesday on Science Foundation Ireland grants, looking at which ones specifically mention STEM subjects ๐
Code: github.com/nrennie/tidy...
#RStats #ggplot2 #DataViz
Woops, I didn't know not adding something like that would break stuff ๐
A two-panel time series (2001โ2024) exploring Science Foundation Ireland's legacy. The top panel shows annual grant commitments as a teal area chart, peaking at โฌ469M in 2019 before a sharp 2024 drop reflecting SFI's July dissolution. The bottom panel shows new institutions funded each year as a bar chart, with 2013โ2017 highlighted in teal, during which 59 new institutions entered the ecosystem. Together, the panels argue that while SFI's funding fluctuated, its institutional reach grew steadily until the end. Note: totals reflect commitments by grant start year, not annual expenditure; 2024 is a partial year.
๐ #TidyTuesday โ 2026 W08 | Science Foundation Ireland Grants Commitments
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๐: stevenponce.netlify.app/data_visuali...
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#rstats | #r4ds | #dataviz | #ggplot2
Multiple line plots showing the population increase/decrease in different animals from New Zealand across time. The animals include; sheep, poultry, horses, goats, deer, chickens, and cattle. Overall most of this populations have declined with time. However, the chicken population has been steadily increasing.
This week for #TidyTuesday we are looking at New Zealand agricultural production statistics.
๐Code: github.com/C-Monaghan/t...
#RStats #dataviz #ggplot2
A map of Ireland showing active and abandoned railway lines.
More #OSM map art ๐ผ๏ธ
๐ Code: github.com/C-Monaghan/d...
#dataviz #ggplot2
Corrected link: github.com/C-Monaghan/d...
Corrected link: github.com/C-Monaghan/d...
Post trees you've photographed
A map of Maynooth located in county Kildare, Ireland. The map features both major and minor roads of Maynooth, along with its canals, railway line, and local university.
Decided to try my hand at playing with #OSM data and made a little ๐บ๏ธ of Maynooth.
๐ Code: github.com/C-Monaghan/d...
#dataviz #ggplot2
Simulated null distribution for data with a sample size of 100, difference in group means of 5, and a p-value of 0.142
Simulated null distribution of a slope of 0.8 and p-value of 0.002
Finally, we have to decide if the p-value meets an evidentiary standard or threshold that would provide us with enough evidence that we arenโt in the null world (or, in more statsy terms, enough evidence to reject the null hypothesis). There are lots of possible thresholds. By convention, most people use a threshold (often shortened to ฮฑ) of 0.05, or 5%. But thatโs not required! You could have a lower standard with an ฮฑ of 0.1 (10%), or a higher standard with an ฮฑ of 0.01 (1%). Statistically significant The p-value is < 0.001 and our threshold for ฮฑ is 0.05 In a world where there is no relationship between x and y, the probability of seeing a slope of at least 0.901 is < 0.1% Since < 0.001 is less than 0.05, we have enough evidence to say that the slope is statistically significant.
Evidentiary standards When thinking about p-values and thresholds, I like to imagine myself as a judge or a member of a jury. Many legal systems around the world have formal evidentiary thresholds or standards of proof. If prosecutors provide evidence that meets a threshold (i.e. goes beyond a reasonable doubt, or shows evidence on a balance of probabilities), the judge or jury can rule guilty. If thereโs not enough evidence to clear the standard or threshold, the judge or jury has to rule not guilty. With p-values: If the probability of seeing an effect or difference (or ฮด) in a null world is less than 5% (or whatever the threshold is), we rule it statistically significant and say that the difference does not fit in that world. Weโre pretty confident that itโs not zero. If the p-value is larger than the threshold, we do not have enough evidence to claim that ฮด doesnโt come from a world of where thereโs no difference. We donโt know if itโs not zero. Importantly, if the difference is not significant, that does not mean that there is no difference. It just means that we canโt detect one if there is. If a prosecutor doesnโt provide sufficient evidence to clear a standard or threshold, it does not mean that the defendant didnโt do whatever theyโre charged withโ โit means that the judge or jury canโt detect guilt.
I just whipped up this little #QuartoPub site last week that demonstrates how I teach p-values/hyp-testing through simulation both with live OJS and with #rstats, and I think it's super neat! It has examples for diff-in-means, diff-in-props, and regression slopes nullworlds.andrewheiss.com #statsky
I'm still pretty new to Bluesky so I'm kinda just floating on the outskirts of the communities at the moment ๐
A horizontal bar plot showing the total scheduled hours for each event in the 2026 Winter Olympics. There are 16 different events ranging from Ice hokey, figure skating, to cross-country skiing. The bars are arranged by total scheduled hours with both ice-hockey and curling having the most scheduled hours (125 and 122 hours, respectively)
This weeks #TidyTuesday explores the 2026 Winter Olympics schedule.
Over a 19 day period you could watch 125hrs (that's 5 full days) of ice hokey โ๏ธ ๐
๐ Code: github.com/C-Monaghan/t...
#RStats #ggplot2
new package time! my new #rstats package {qrtdown} is sugar syntax version of {pkgdown} by @hadley.nz and {altdocs} by @etiennebacher.bsky.social but enables full quarto functionality for your articles
Thus you can use the full @quarto.org eco system and benefits.
usrbinr.codeberg.page/qrtdown/
I just led a workshop on Quarto with @physaliacourses.bsky.social which Iโve now made public. Iโm sharing the full source code to demonstrate advanced features: extensions, brand.yml styling across formats, and full CI/CD via GitHub Actions. github.com/mcanouil/mas...
#Quarto #Workshop #GitHub #CICD
I'm happy to announce a new and improved version of my quarto revealjs extension that interfaces with roughnotation
More annotation types, fragment support, works with flourish extension to allow for annotations of code chunks, and reverse animations are all here
github.com/EmilHvitfeld...
#quarto
This week's #TidyTuesday dataset from the GROW Observatory shows how water requirements vary across cultivation classes and sunlight tolerances.
Interestingly, very high water plants are surprisingly rare!
๐ Code: github.com/C-Monaghan/t...
#RStats #dataviz #ggplot2
๐ฃ registration for the rainbowR conference is now live ๐
The conference is for anyone interested in R and/or analysing data to understand LGBTQ+ issues. The majority of speakers and workshop leaders are LGBTQ+, but you do not have to be LGBTQ+ to attend.
pretix.eu/rainbowr/con...
#RStats #LGBTQ
I'm excited to inform you:
@hadley.nz to join the #DSLab Feb 17, live-coding a #TidyTuesday analysis. Snoop the tools he uses & ask Qs in the chat! ๐
I regret to inform you:
I've challenged him to only speak in Gen-Z slang for the entire Lab & he's accepted ๐ pos.it/dslab โฌ
๏ธ๐๐ป
#rstats #databs
