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English-language posts that have an #RStats #QuartoPub DuckDB #RLadies or #PyLadies hashtag or contain DuckDB BlueskyFeedCreator.com

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Harry Vangberg
@harry.vangberg.name
9 minutes ago
We have errors, console outputs and ggplot. Getting ggplots printed correctly was surprisingly difficult – the logic of R's top-level printing is … finicky: yihui.org/en/2017/06/t... #rstats
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Big Book of R
@bigbookofr.com
37 minutes ago
Hierarchical Compartmental Reserving Models by Markus Gesmann and Jake Morris #RStats bigbookofr.com/chapters/f…
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T. @ Techtonique
@teeeeeeeee.bsky.social
43 minutes ago
Beyond ARMA-GARCH: leveraging model-agnostic Machine Learning and conformal prediction for nonparametric probabilistic stock forecasting (ML-ARCH) thierrymoudiki.github.io/… #Techtonique #DataScience #Python #rstats #MachineLearning
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T. @ Techtonique
@teeeeeeeee.bsky.social
43 minutes ago
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PyData Paris
@pydataparis.bsky.social
about 2 hours ago
📢 Talk Announcement "How to make public data more accessible with "baked" data and DuckDB", by Chris Kucharczyk. 📜 Talk info: pretalx.com/pydata-paris-… 📅 Schedule: pydata.org/paris2025/schedule 🎟 Tickets: pydata.org/paris2025/tickets
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Big Book of R
@bigbookofr.com
about 5 hours ago
Biostatistics for Biomedical Research by Frank E Harrell Jr #RStats bigbookofr.com/chapters/l…
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Umair Durrani
@transport-talk.bsky.social
about 6 hours ago
#rstats folks, what do you think of the idea of a package that generates _brand.yml, color palettes, ggplot2 color/fill scales, themes, and quarto based website skeleton, all created with a user prompt (optionally image uploads)? The goal is to provide consistent branding in your projects.

{chores} is awesome! Here I'm generating a _brand.yml in RStudio #RStats

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WOMBAT 2025
@wombat.numbat.space
about 6 hours ago
Making effective scrollytelling visualisations is hard, but @jamesgoldie.dev 's Closeread makes it so much easier. Come learn about Closeread's design decisions and what's coming next for this great tool. wombat2025.numbat.space/p…. #RStats #Python #BusinessAnalytics #DataViz
WOMBAT 2025 - Invited talk

James Goldie - Closing the scrollytelling gap with Closeread

29-30 September 2025, Naarm/Melbourne
womabt2025.numbat.space
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Sharon Machlis
@smachlis.bsky.social
about 7 hours ago
The {huxtable} #RStats 📦 is for creating text tables. Features include: “* Export to LaTeX, HTML, Microsoft Word, Microsoft Excel, Microsoft Powerpoint, RTF and Markdown * Easy integration with knitr and rmarkdown documents” By David Hugh-Jones. On CRAN. hughjonesd.github.io/huxt….

hughjonesd.github.io

Introduction to Huxtable

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We Are R-Ladies
@weare.rladies.org
about 7 hours ago
OK @emilhvitfeldt.bsky.social you are a day ahead of yourself. Things that make #rstats feel magic is my rocur theme for TOMORROW. But this is definitely magic: drag and drop to move and resize images in revealjs slides- you are a wizard!!

some light teasing for an upcoming quarto revealjs plugin I have been working on

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Big Book of R
@bigbookofr.com
about 8 hours ago
Data Wrangling Essentials by Mark Banghart #RStats bigbookofr.com/chapters/g…
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Nur Shahir, PhD
@gigiomics.bsky.social
about 8 hours ago
Oh hey, it's tidy tuesday (also known as I am procrastinating on writing yet another cover letter), but this week is on EXTREME WEATHER ATTRIBUTION STUDIES Code: github.com/nmshahir/tid... #RStats #TidyTuesday #Tidyverse #DataBS #Data #DataViz #r4ds
A horizontal stacked percentage barplot looking at the breakdown of the impact of Climate Change on various types of Extreme Weather Events such as Wildfires, Drought, Atmosphere to name a few. The take away point is that from studies reviewed, climate change does play a role in the severity of a weather event. Both increased severity as well as decreased severity.
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WOMBAT 2025
@wombat.numbat.space
about 9 hours ago
In this tutorial, you'll learn how use #QuartoDev top write reproducible reports, journal articles and presentations. Also, learn how to manage bibliography automatically, create equations and render to multiple formats with #RStats and/or #Python! More info: wombat2025.numbat.space/p….
WOMBAT 2025 - Tutorial

Jayani Lakshika and Krisanat Anukarnsakulchularp - Reproducible Reporting and Research with Quarto

29-30 September 2025, Naarm/Melbourne
womabt2025.numbat.space
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R-Ladies Melbourne
@rladiesmelb.bsky.social
about 10 hours ago
Tired of rerunning everything every time you change a line of code? 😩 The {targets} package automates your #Rstats workflow—only running what’s needed, tracking dependencies, keeping your analysis reproducible & efficient. ⏩ books.ropensci.org/targets/ #RStats #ReproducibleResearch #DataPipelines

books.ropensci.org

The {targets} R package user manual

Will Landau

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RladiesUrmia
@rladiesurmia.bsky.social
about 11 hours ago
#ترفند جدول خوشگل تو یه خط! توی rmarkdown! میتونی هر جدول و با یه خط کد مرتب و زیبا کنی. کافیه از تابع kable تو پکیج knitr استفاده کنی. library(knitr) df=head(mtcars) kable(df) خروجی یه جدول خوانا و شکیل که مستقیم تو گزارش یا html نمایش داده میشه. [email protected] #R #RLadies
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Kyle Walker
@kylewalker.bsky.social
about 11 hours ago
Using drive-time isochrones on-click as a "cookie cutter" on an interactive map? Why not! (And it's all done with R code) Learn how to use TurfJS in #rstats here: walker-data.com/mapgl/articl...
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Steven Ponce
@sponce1.bsky.social
about 11 hours ago
📊 #TidyTuesday – 2025 W32 | Extreme Weather Attribution Studies . 🔗: stevenponce.netlify.app/d…. . #rstats | #r4ds | #dataviz | #ggplot2
A faceted line chart illustrating the regional evolution of extreme weather attribution science from 2010 to 2024 across eight regions. Each panel displays two metrics: study volume (green solid/dashed lines) normalized within each region, and rapid attribution adoption rates (orange dashed lines). Europe leads with 163 studies, followed by Eastern/South-Eastern Asia (161) and North America (135). The chart reveals distinct regional patterns: some regions, such as North America, exhibit early and rapid adoption peaks around 2018-2020, while others, like Eastern Asia, display steady volume growth with late-emerging rapid adoption. Background shading indicates three development phases: Emergence (2010-2013), Growth (2014-2018), and Maturation (2019-2024). Thin lines represent annual data, while thick lines show 3-year moving averages that exclude partial years.
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T. @ Techtonique
@teeeeeeeee.bsky.social
about 11 hours ago
Extending the Theta forecasting method to GLMs, GAMs, GLMBOOST and attention: benchmarking on Tourism, M1, M3 and M4 competition data sets (28000 series) thierrymoudiki.github.io/… #Techtonique #DataScience #Python #rstats #MachineLearning
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coolbutuseless
@coolbutuseless.fosstodon.org.ap.brid.gy
about 11 hours ago
PDF Dev Diary: PDF Creation Clipping polygon (with sub-polygon) and the fill-rule = "evenodd" {minipdf} rewrite: github.com/coolbutuseless…
Colorful hexagon wi the text "Hello #RStats" and the R logo
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T. @ Techtonique
@teeeeeeeee.bsky.social
about 11 hours ago
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