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Reposted by Marc Dotson

Julia Silge @juliasilge.com · 20d

It was such a pleasure to speak today at #PositConf2025 about how BADLY 😱 it went when I tried to learn Python ~10 years ago, and how tooling in the ecosystem has changed (gotten better!) in the intervening decade.

You can check out my slides at:
juliasilge.github.io/get-unstuck-...

How I got unstuck with Python

juliasilge.github.io

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Marc Dotson @marcdotson.com · Jul 16

It’s been a lot of fun working on this project and connecting marketing methodology with my political science roots.

Andrew Heiss @andrew.heiss.phd · Jul 16

Newly published at NVSQ with @sch-ir.bsky.social and @marcdotson.com! A neat conjoint experiment (analyzed w/fancy multinomial Bayesian models) measuring the effect of anti-NGO crackdown on donor behavior!

Prepreint+code: www.andrewheiss.com/research/art...
Official version: doi.org/10.1177/0899...

Navigating Hostility: The Effect of Nonprofit Transparency and Accountability on Donor Preferences in the Face of Shrinking Civic Space

Donors unhappy
when states restrict NGOs—
’cept when transparent.

Suparna Chaudhry, Marc Dotson, and Andrew Heiss, “Navigating Hostility: The Effect of Nonprofit Transparency and Accountability on Donor Preferences in the Face of Shrinking Civic Space,” Nonprofit and Voluntary Sector Quarterly (2025), doi: 10.1177/08997640251348654

Navigating Hostility: The Effect of Nonprofit Transparency and Accountability on Donor Preferences in the Face of Shrinking Civic Space

Suparna Chaudhry, Marc Dotson, and Andrew Heiss

Abstract
Governments across the world have increasingly used laws to restrict the work of nonprofits, which has led to a reduction in public or official foreign aid directed towards these groups. Many international nonprofits, in response, have turned to individual donors to offset the loss of traditional funding. What are individual donors’ preferences regarding donating to legally besieged nonprofits abroad? We conducted a conjoint experiment on a nationally representative sample of likely donors in the US and found that learning about host government criticism and legal restrictions on nonprofits decreases individuals’ preferences to donate to them. However, organizational features such as financial transparency and accountability can protect against this dampening effect. Our results have important implications both for understanding private international philanthropy and how nonprofits can better frame their fundraising appeals at a time when they are facing restrictive civic spaces and hostile governments abroad.

Estimated marginal means and average marginal component effects for conjoint experiment results

Estimated marginal means and average marginal component effects for the interaction between transparency and crackdown

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Marc Dotson @marcdotson.com · Jun 14

There are a lot of introductions to Python, but this one is mine. It includes a walkthrough of using uv for environment management, Polars for data wrangling, seaborn.objects for visualization, and scikit-learn for modeling. #rstats #python #pydata

An introduction to Python for R users – Occasional Divergences

This introduction to Python assumes you know R, which is used as an analogy to explain Python for data analysis.

occasionaldivergences.com

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Reposted by Marc Dotson

Andrew Heiss @andrew.heiss.phd · Apr 12

Headed back home after a whirlwind visit! Logan is a gorgeous city and USU is doing really neat work with teaching data analytics

The Hunstman School of Business at Utah State University

Big bowl of Aggie ice cream in a waffle cone bowl

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Marc Dotson @marcdotson.com · Feb 21

PyData Northern Utah is partnering with HackUSU for a special in-person meetup: An introduction to Python dashboards using polars, seaborn.objects, and Quarto: www.meetup.com/pydata-north...

Marc Dotson @marcdotson.com · Jan 27

For our first PyData Northern Utah meetup of 2025, we are continuing to look at a data wrangling tools with @healthandstats.bsky.social as guide. For anyone in and around Cache Valley, join our Northern Utah chapter at www.meetup.com/pydata-north...

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Marc Dotson @marcdotson.com · Jan 9

Python ignorance validated. I didn't realize there was a kernel selection option inside the Jupyter notebook. Thanks for the assist, @juliasilge.com.

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Marc Dotson @marcdotson.com · Jan 9

This may be Python ignorance on my part, but I'm wondering if there is something under the hood that makes Positron not play well with Jupyter notebooks? @coatless.bsky.social have you seen anything like this?

github.com/posit-dev/po...

Does Positron not play well with Jupyter notebooks? · posit-dev positron · Discussion #5922

This may be more Python ignorance on my part (see #4588), but I'm wondering if there is something under the hood that makes Positron not play well with Jupyter notebooks? Jupyter notebooks are not ...

github.com

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Reposted by Marc Dotson

Elea McDonnell Feit @eleafeit.bsky.social · Jan 2

Lots of folks are discovering the relevance of decision theory to the practical problem of analyzing an A/B. A quick🧵

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Reposted by Marc Dotson

Andrew Heiss @andrew.heiss.phd · Dec 2

Woohoo, our paper is live!

This haiku summarizes it best:

Raw model results?
Stop! Hard to understand! Use
{marginaleffects}

Vincent Arel-Bundock @vincentab.bsky.social · Dec 2

Our JSS article is out!

And now I get to focus on {marginaleffects} 1.0.0. Stay tuned.

www.jstatsoft.org/article/view...

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Marc Dotson @marcdotson.com · Nov 28

#morepiesthanpeople

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Reposted by Marc Dotson

Posit @posit.co · Oct 31

No trick, all treats - posit::conf(2024) talks are now on YouTube! 🍬

Over a thousand people gathered in Seattle and online to dive into all things open-source data science. With 100+ talks, there's a lot to explore!

Check out the playlist: www.youtube.com/playlist?lis...

#RStats #Python

posit conf 2024 talk recordings and workshop materials

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Marc Dotson @marcdotson.com · Nov 12

For anyone in and around Utah State University, come join a new chapter of PyData and learn about data wrangling with Polars next week! #python #databs

Data Wrangling with Polars, Wed, Nov 20, 2024, 6:00 PM | Meetup

Join our first PyData Northern Utah meetup to learn about data wrangling with Polars. This will be a hands-on workshop, so come prepared to learn and ask questions. We will

www.meetup.com

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Reposted by Marc Dotson

Andrew Heiss @andrew.heiss.phd · Nov 11

This administrative attack on the nonprofit sector fits with a pattern of authoritarian restrictions on civil society that's been going on for the past decade+ @suparnac.bsky.social and I (and others) have done a bunch of research on this from an intl/comparative perspective #nonprofitsky #polisky 🧵

The Intercept @theintercept.com · Nov 10

The House is set to vote Tuesday on a bill that would let the administration destroy nonprofits it claims support terrorism.

Congress Is About to Gift Trump Sweeping Powers to Crush His Political Enemies

A bill that would let Donald Trump unilaterally revoke tax-exempt status from nonprofits is being fast-tracked through Congress.

interc.pt

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Reposted by Marc Dotson

Randall Munroe @xkcd.com · Nov 3

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Reposted by Marc Dotson

Julia Silge @juliasilge.com · Oct 14

My first screencast in quite a while! Take a first look at how to use #Positron, the new data science IDE I have been working on, for data analysis with #rstats, using this week's #TidyTuesday dataset on orca encounters 🐳
youtu.be/5BojM5EciPs

First look at Positron, exploring orca encounters

YouTube video by Julia Silge

youtu.be

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Reposted by Marc Dotson

Julia Silge @juliasilge.com · Oct 28

We've got a brand new, baby website for Positron! Take a look if you are interested in getting started, and please let us know how it goes:
positron.posit.co

Positron

A next-generation data science IDE

positron.posit.co

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Reposted by Marc Dotson

Andrew Heiss @andrew.heiss.phd · Sep 6

Just discovered the Causal Quartet by @lucystats.bsky.social, @travisgerke.bsky.social, and @malcolmbarrett.malco.io: four datasets that have the same unadjusted casaul relationship between treatment/outcome but different true effects. This is great for teaching DAG-based causal inference! #rstats

Four scatterplots showing the same relationship four four datasets, all showing a slope of 1, but in reality they all have different true slopes that can only be uncovered through proper statistical adjustment

Four common DAGs: a collider, a confounder, a mediator, and M-bias

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Marc Dotson @marcdotson.com · Aug 15

Okay, I’ll bite: How do you read so much?!

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Reposted by Marc Dotson

James Balamuta @coatless.bsky.social · Jul 23

George Stagg just released a new #quarto extension that allows for an embedded full feature code editor inside of Quarto slide deck! It supports both #rstats via #webr and #python via #pyodide.

Announcement: mastodon.social/@[email protected]...

Extension:
github.com/r-wasm/quart...

GitHub - r-wasm/quarto-drop: Drop down an interactive R or Python console, code editor, and plotting window from the top of your Quarto slides.

Drop down an interactive R or Python console, code editor, and plotting window from the top of your Quarto slides. - r-wasm/quarto-drop

github.com

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Marc Dotson @marcdotson.com · Jul 23

You're on fire.🤞

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Reposted by Marc Dotson

Randall Munroe @xkcd.com · Jul 23

President Venn Diagram xkcd.com/2962

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Reposted by Marc Dotson

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · Jul 16

The International Society for Bayesian Analysis tells me Statistical Rethinking has won the 2024 DeGroot Prize for its contributions to "statistical inference, decision theory and statistical applications". This is huge honor especially given the previous winners who have influenced me so much.

Winners of the DeGroot Prize

2021
Nicolas Chopin and Omiros Papaspiliopoulos (2020). An Introduction to Sequential Monte Carlo. Springer.

2019
Subhashis Ghosal and Aad van der Vaart. Fundamentals of Nonparametric Bayesian Inference. Cambridge University Press.

2017
David Banks, Jesus Rios, and David Rios Insua. Adversarial Risk Analysis. CRC Press.

2015
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, and Donald B. Rubin. Bayesian Data Analysis, Third Edition. CRC Press.

2013
Noel Cressie and Christopher Wikle (2011). Statistics for Spatio-Temporal Data. John Wiley and Sons.

Kevin P. Murphy (2012). Machine Learning: A Probabilistic Perspective. MIT Press.

2011
Jay Kadane (2011). Principles of Uncertainty. CRC Press.

2009
Giovanni Parmigiani and Lurdes Inoue (2009). Decision Theory: Principles and Approaches. John Wiley and Sons.

Carl Edward Rasmussen and Christopher K. I. Williams (2006). Gaussian Processes for Machine Learning (freely availa

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Reposted by Marc Dotson

Andrew Heiss @andrew.heiss.phd · Jul 8

@tjmahr.com Did you see the new way to install {cmdstanr} and other Stan friends with {renv} now? No more custom repo entry is needed—it just uses R-Universe now discourse.mc-stan.org/t/announceme...

Announcement: Stan R Packages Repo Deprecated - Moving to R-Universe

Hello to the Stan R community! This post is to announce that we will be deprecating our custom R-packages repo ("https://mc-stan.org/r-packages/") and instead using R-Universe for building and distri...

discourse.mc-stan.org

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Reposted by Marc Dotson

Andrew Heiss @andrew.heiss.phd · Jul 8

New blog post! Read about Posit's new Positron editor, see some of the neat new features it has, and check out the settings and extensions I use. It includes a bonus workaround for connecting to a remote server with SSH! #rstats

Fun with Positron | Andrew Heiss

Combine the best of RStudio and Visual Studio Code in Posit’s new Positron IDE

www.andrewheiss.com

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