The ggplot2 package has become so popular over the years that there are now over 100 extension packages specifically designed to enhance ggplot2 visualizations. These extensions make the ggplot2 syntax even more efficient and help create stunning graphs with ease. In the

Take your data storytelling to the next level with ggalign in R! This powerful extension of ggplot2 allows for precise alignment of complex data visuals, letting you explore trends and correlations across different variables in a single, integrated view. In this visualization,

Interested in tech spillover and what it means for U.S.-China competition? Check out this awesome new article by MIT SSP PhD student Raymond Wang! tandfonline.com/doi/full/10.10…

New website for #tidyplots use cases, complete with data and code 🤩 tidyplots.org/use-cases/ #rstats #dataviz #phd

The Trump administration has halted US foreign aid. That's not surprising. A recent Chicago Council on Global Affairs survey found that only about 40 percent of respondents think US aid, military or economic, should be expanded or kept the same.

(1/2) Is there a difference between how Black + White Americans view trade? Sociology Ph.D. student daniel lobo + Political Science Prof. Ryan Brutger's paper “Fairness According to Whom?” says yes. Learn more: bit.ly/4arOyGc

Too many vector shapes can slow down PDF performance. This is how you can raster data points and heatmaps in #tidyplots 🪩 The beauty is that everything else in the plot can stay a vector shape. Big shoutout to @VPetukhov and the {ggrastr} team! #rstats #dataviz #phd

I'm a PhD student at the University of Salzburg conducting a study on public opinion regarding EU trade policy. The survey is anonymous & open to anyone in Europe! 🌍 📝 Take the survey here: survey.plus.ac.at/index.php/9275… 🙌 #EUTrade #TradePolicy #Survey

Principal Component Analysis (PCA) is a powerful statistical technique used to simplify complex data sets. By reducing the number of variables, PCA helps in identifying patterns and makes data easier to explore and visualize. Here’s how you can implement PCA in R, step-by-step:

Creating publication-ready plots in R is easier than ever with ggpubr. This extension for ggplot2 simplifies the process of generating clean and professional graphics, especially for exploratory data analysis and reporting. The attached visual, which I created using ggpubr,

#RDDers: check it out. Donut Regression Discontinuity Designs "While the donut approach is very popular in empirical practice, it is generally carried out in a heuristic fashion without much supporting statistical theory."

#RDDers: check it out. "Heterogeneous Treatment Effects in Regression Discontinuity Designs"

A thread introducing my book ‘China’s State-Owned Enterprises: Leadership, Reform, and Internationalization’ Cambridge University Press (2024) (1/10) 🧵

What competition? There is no competition. Which African countries trade more with the U.S. vs China? via @carnegieafrica

Choosing the right regression model is crucial when analyzing data. Today, we’re comparing Multiple Regression with Ridge Regression, two powerful methods for predictive modeling. When applied correctly, these models can greatly enhance the accuracy of your predictions: ✔️

Bayesian logistic regression is a powerful method for predicting binary outcomes (such as yes/no decisions). It differs from traditional logistic regression by incorporating prior beliefs and quantifying uncertainty using posterior distributions. This makes Bayesian logistic

IR Book of the Week! "Statecraft 2.0" by Dennis Ross. How can USA lead in a multipolar world? By avoiding mistakes of the past, namely pursuing goals that were poorly defined and not thought through. Good starting point: don't cut research funding. amazon.com/Statecraft-2-0…

what are large language models actually doing? i read the 2025 textbook "Foundations of Large Language Models" by tong xiao and jingbo zhu and for the first time, i truly understood how they work. here’s everything you need to know about llms in 3 minutes↓

Set aside politics for a moment (which no one in Argentina ever does) and focus on the numbers. Milei's core problem is that fiscal adjustment hasn't generated balance of payments adjustment. Net out IMF lending and Argentina has been burning through its reserves 1/

Currently in FirstView: “Fixed Effects, Lagged Dependent Variables, and Bracketing: Cautionary Remarks” by Matei Demetrescu, Manuel Frondel, Lukas Tomberg, and Colin Vance investigates a bracketing property used to yield bounds on treatment effects from FE and lagged DV models.