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Rajo

@rajodm

MSc student in Epidemiology & Clinical Research #rstats | #dataviz

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17.11.2024
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Latest posts by Rajo @rajodm

Thank you, and thank you for the chart and code they helped a lot 😊

10.03.2026 02:29 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
Post image

We released DuckDB v1.5!

This release comes with a β€œfriendly CLI” client, a new (opt-in) PEG parser, support for VARIANT types and many lakehouse features. It also ships a new network stack, a reworked geospatial extension, Azure writes and an ODBC scanner.

Read more at duckdb.org/2026/03/09/a...

09.03.2026 13:22 πŸ‘ 63 πŸ” 16 πŸ’¬ 0 πŸ“Œ 1

Thanks! Glad you like the colors it took some times to choose them because I wasn't sure if they were distinctive enough πŸ˜…

09.03.2026 10:52 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Thank you!

09.03.2026 10:44 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Yeah, a really cool data set, and a very interesting topic (thanks! πŸ™ )

09.03.2026 06:58 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Thank you!

08.03.2026 23:21 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
Preview
Ridgeline plot with inside plot and annotations How to create a ridgeline plot with an inside plot for the legend and annotations in R with ggplot2. Examples of data visualization with the ridgeline plot.

Source of inspiration: r-graph-gallery.com/web-ridgelin...

08.03.2026 23:17 πŸ‘ 3 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
Horizontal interval with dots chart showing the probability ranges assigned by survey respondents to 19 vague probability expressions, from 
"Almost No Chance" to "Will Happen". For each row shows the 50%, 80%, and 95% intervals of responses alongside the median. Terms at the 
extremes show more tight agreement while middle terms like "Realistic Possibility" and "Might Happen" show wide variation across respondents.
Data source: Kucharski AJ (2026) CAPphrase: Comparative and Absolute Probability phrase dataset. Available at DOI: 10.5281/zenodo.18750055

Horizontal interval with dots chart showing the probability ranges assigned by survey respondents to 19 vague probability expressions, from "Almost No Chance" to "Will Happen". For each row shows the 50%, 80%, and 95% intervals of responses alongside the median. Terms at the extremes show more tight agreement while middle terms like "Realistic Possibility" and "Might Happen" show wide variation across respondents. Data source: Kucharski AJ (2026) CAPphrase: Comparative and Absolute Probability phrase dataset. Available at DOI: 10.5281/zenodo.18750055

Very early #TidyTuesday for 2026 week 10 πŸ˜‚

Data: Cap-phrases, when someone says something is "likely", what probability do they
actually mean?

Code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2

08.03.2026 23:09 πŸ‘ 29 πŸ” 3 πŸ’¬ 5 πŸ“Œ 1

93 males to one female exactly, and it was in 2013. There were 186 males and 2 females captured, (197 males and 2 females before filtering to unique individuals).

07.03.2026 16:58 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
A faceted line chart showing the sex ratio of Hermann's tortoises across three locations (Beach, Konjsko, and Plateau) on Golem Grad island in North Macedonia from 2008 to 2023. The Plateau (right most) panel shows consistently high male bias, peaking around 93 males for every female around 2013 before declining to around 16 by 2023, but remaining heavily male-biased throughout. Beach (left most panel) shows moderate male bias with high variability. Konjsko (middle panel) mostly dips below the parity line into female-biased territory, shown by a shaded region. A dark dashed horizontal line marks the 1:1 sex ratio across all panels. The y-axis is on a log10 scale.

A faceted line chart showing the sex ratio of Hermann's tortoises across three locations (Beach, Konjsko, and Plateau) on Golem Grad island in North Macedonia from 2008 to 2023. The Plateau (right most) panel shows consistently high male bias, peaking around 93 males for every female around 2013 before declining to around 16 by 2023, but remaining heavily male-biased throughout. Beach (left most panel) shows moderate male bias with high variability. Konjsko (middle panel) mostly dips below the parity line into female-biased territory, shown by a shaded region. A dark dashed horizontal line marks the 1:1 sex ratio across all panels. The y-axis is on a log10 scale.

#TidyTuesday 2026 week 09

🐒 On Golem Grad island, Lake Prespa, male Hermann's tortoises have overwhelmed females for over 16 years.

code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2

06.03.2026 16:01 πŸ‘ 8 πŸ” 1 πŸ’¬ 1 πŸ“Œ 0
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Building Quarto Typst Templates: Advanced Patterns (Part 2) – MickaΓ«l CANOUIL This tutorial continues from Part 1, exploring advanced patterns for Quarto Typst extensions. You will learn handler factories, configuration systems, type-safe value conversion, and WCAG-aware badges...

New post: Building Quarto Typst Templates (Part 2).
Handler factories, user-configurable mappings, WCAG-compliant badges, and a complete quote card example.
Production patterns for extensible Quarto Typst extensions.

mickael.canouil.fr/posts/2026-0...

#Quarto #Typst #Accessibility

05.03.2026 18:43 πŸ‘ 9 πŸ” 3 πŸ’¬ 0 πŸ“Œ 0
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Antibiotics are an essential type of medicine used to treat and prevent bacterial infections, but their use is threatened by growing levels of antibiotic resistance.

How does antibiotic resistance develop and spread?

This diagram shows four pathways for antibiotic resistance to evolve.

04.03.2026 14:04 πŸ‘ 38 πŸ” 7 πŸ’¬ 2 πŸ“Œ 1
{repicentre}

Learn R for Humanitarian Epidemiology
Β· An open source platform
Β· Available in English & French
Perfect for self‑learning, trainings & field support
Boost your analytical skills in real‑world humanitarian settings.
πŸ‘‰ Access the platform: epicentre-msf.github.io/repicentre/

03.03.2026 13:35 πŸ‘ 4 πŸ” 2 πŸ’¬ 0 πŸ“Œ 0
Preview
Building Quarto Typst Templates: The Lua-Typst Bridge (Part 1) – MCU This tutorial introduces the dual-layer architecture for building Quarto Typst templates. You will learn how Lua filters and Typst functions work together to transform markdown elements into styled PD...

New blog post: Building Quarto Typst Templates - The Lua-Typst Bridge (Part 1).

Learn how Lua filters and Typst functions work together to create styled PDF components from markdown.

Badges, panels, and the dual-layer architecture explained.

mickael.canouil.fr/posts/2026-0...

#Quarto #Typst

27.02.2026 15:18 πŸ‘ 8 πŸ” 2 πŸ’¬ 0 πŸ“Œ 0
Beeswarm plot showing the number of grants awarded by Science Foundation Ireland across three decades (2000s, 2010s, 2020s), grouped by funding programme, and with the total funding committed as point size. 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. The programmes with the highest number of grants are not necessarily those with the greatest funding committed.

Beeswarm plot showing the number of grants awarded by Science Foundation Ireland across three decades (2000s, 2010s, 2020s), grouped by funding programme, and with the total funding committed as point size. 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. The programmes with the highest number of grants are not necessarily those with the greatest funding committed.

Here it is, with point size reflecting total funding committed by programme.

25.02.2026 07:44 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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.

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

24.02.2026 19:56 πŸ‘ 9 πŸ” 1 πŸ’¬ 1 πŸ“Œ 0
Powerpoint slide on what's in and what's out in 2026

What's in includes authoritarianism, nationalism, broligarchy, science denialism, conflicts

What's out includes democracy, multilateralism, global solidarity, equity, diversity, respect for human rights, peace

Powerpoint slide on what's in and what's out in 2026 What's in includes authoritarianism, nationalism, broligarchy, science denialism, conflicts What's out includes democracy, multilateralism, global solidarity, equity, diversity, respect for human rights, peace

Preparing this slide for a global health lecture this week...

Pretty sad state of affairs in 2026, but that's what we are up against, and that's what we need to plan for and counter

23.02.2026 12:21 πŸ‘ 30 πŸ” 15 πŸ’¬ 4 πŸ“Œ 0

Note to #TidyTuesday #RStats early birds: There's an issue with tomorrow's dataset when you load using `tidytuesdayR::tt_load(2026, 8)`. I'm working on tracking it down right now. If you figure it out, let me know in this issue: github.com/rfordatascie...

Thanks for the report @rajodm.bsky.social !

22.02.2026 15:34 πŸ‘ 10 πŸ” 3 πŸ’¬ 1 πŸ“Œ 0

Thank you!

14.02.2026 19:43 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
Streamgraph visualization showing when men's, women's, mixed, individual medal events 
occur across Winter Olympic disciplines during Milano-Cortina 2026. Each discipline 
is shown separately with colored flows (ridges)  indicating event timing (x-axis) and event number (y-axis).

Streamgraph visualization showing when men's, women's, mixed, individual medal events occur across Winter Olympic disciplines during Milano-Cortina 2026. Each discipline is shown separately with colored flows (ridges) indicating event timing (x-axis) and event number (y-axis).

#TidyTuesday 2026 week 06

Medal Events across Winter Olympic Disciplines during Milano-Cortina 2026

Code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2

14.02.2026 19:15 πŸ‘ 9 πŸ” 1 πŸ’¬ 1 πŸ“Œ 0
Screenshot of "colorize.languages" to add color highlighting for .yaml files in Positron

Screenshot of "colorize.languages" to add color highlighting for .yaml files in Positron

You can use the colorize extension:
open-vsx.org/extension/ka... and then add "yaml" to colorize.languages in your settings.

10.02.2026 12:18 πŸ‘ 1 πŸ” 2 πŸ’¬ 1 πŸ“Œ 0
Trying out dplyr 1.2.0 | Crystal Lewis Updating existing dplyr code in my workflow with new dplyr updates

dplyr 1.2.0 was released last week and since I use {dplyr} a lot in my work, I wanted to take some time to try some of the new functions.

This post provides some supplemental examples of the new functions, beyond what is provided in the new Posit materials.
#rstats

cghlewis.com/blog/dplyr_u...

09.02.2026 19:32 πŸ‘ 85 πŸ” 28 πŸ’¬ 4 πŸ“Œ 3
Preview
GitHub - mcanouil/mastering-quarto-cli: [Workshop] Mastering Quarto CLI: From Authoring to Publishing [Workshop] Mastering Quarto CLI: From Authoring to Publishing - mcanouil/mastering-quarto-cli

I just led a workshop on Quarto with @physaliacourses.bsky.social which I’ve now made public. I’m 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

06.02.2026 19:29 πŸ‘ 32 πŸ” 11 πŸ’¬ 0 πŸ“Œ 0
Alluvial diagram connecting plant cultivation classes (left) to soil characteristics (right). Colored flows show cultivation-soil associations, with colors representing soil types  and flow width showing association strength.

Alluvial diagram connecting plant cultivation classes (left) to soil characteristics (right). Colored flows show cultivation-soil associations, with colors representing soil types and flow width showing association strength.

#TidyTuesday 2026 week 05.

🌱 Which soil for which plants?

Data: Edible Plants Database - GROW Observatory

Code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2

05.02.2026 16:15 πŸ‘ 17 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0
Post image Post image

dplyr 1.2.0 release notes: replace_values() , recode_values() , replace_when() , filter_out() cran.r-project.org/web/packages... #Rstats

03.02.2026 17:31 πŸ‘ 13 πŸ” 9 πŸ’¬ 0 πŸ“Œ 0

Thank you!

01.02.2026 05:29 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
Treemap showing Brazilian enterprises grouped by size (Micro, Small, Other) and capital level. Box sizes represent company counts. Most enterprises across all size categories are in the middle capital bracket, with 36,433 micro, 19,262 small, and 17,169 other enterprises.

Treemap showing Brazilian enterprises grouped by size (Micro, Small, Other) and capital level. Box sizes represent company counts. Most enterprises across all size categories are in the middle capital bracket, with 36,433 micro, 19,262 small, and 17,169 other enterprises.

#TidyTuesday 2026, week 04

Most Brazilian enterprises cluster in the middle capital bracket, regardless of size in the CNPJ data.

Code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2

30.01.2026 16:44 πŸ‘ 10 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
Logo of the Open Visualization Academy, designed by Vinicius Sueiro

Logo of the Open Visualization Academy, designed by Vinicius Sueiro

The Open Visualization Academy launches on FRIDAY! openvisualizationacademy.org

More information in our newsletter: openvisualizationacademy.beehiiv.com/p/the-open-v...

#dataViz #dataVisualization #infographics #dataJournalism

27.01.2026 18:07 πŸ‘ 53 πŸ” 16 πŸ’¬ 4 πŸ“Œ 3

Thank you!

19.01.2026 17:35 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
A dot plot showing seasonal patterns in Astronomy Picture of the Day archive title terms. The y-axis lists frequent astronomical terms (fifteen most popular by month). The x-axis shows months January through December. Each dot represents usage frequency (larger dots = more appearances) and color indicates the most recent year of publication (ranging from yellow for 2019 to dark blue/black for 2024-2025). Notable patterns include: Geminids appearing prominently in December, Perseids peaking in August, and terms like 'Moon,' 'Nebula,' 'Stars,' and 'Galaxies' appearing consistently across all months with large dots. Annotations highlight the Perseids meteor shower peaking August 12-13, Comet Neowise's closest approach July 3, 2020, and Geminids meteor shower peaking December 14.

A dot plot showing seasonal patterns in Astronomy Picture of the Day archive title terms. The y-axis lists frequent astronomical terms (fifteen most popular by month). The x-axis shows months January through December. Each dot represents usage frequency (larger dots = more appearances) and color indicates the most recent year of publication (ranging from yellow for 2019 to dark blue/black for 2024-2025). Notable patterns include: Geminids appearing prominently in December, Perseids peaking in August, and terms like 'Moon,' 'Nebula,' 'Stars,' and 'Galaxies' appearing consistently across all months with large dots. Annotations highlight the Perseids meteor shower peaking August 12-13, Comet Neowise's closest approach July 3, 2020, and Geminids meteor shower peaking December 14.

Tracking the most common terms in Astronomy Picture of the Day titles ✨ for week 3 of #TidyTuesday.

Code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2

19.01.2026 17:01 πŸ‘ 17 πŸ” 1 πŸ’¬ 1 πŸ“Œ 0