Category: statistics

We made it to one hundred. I guess this will be the final post in the series. It is good to end the series on a round number. As I have explored ways to blog less in 2023, this seems like as good a time as any to end this particular series of posts. I […]

1940. Data Vis Dispatch: August 1, August 8, August 15, August 22, August 29 1941. Explainable AI: Visualizing Attention in Transformers 1942. Linear Programming in Python 1943. It Takes Long to Become Gaussian 1944. Cookbook Polars for R 1945. Package development lifecycle process: What does superseded mean? / What does deprecated mean? 1946. Difference-in-differences, Average […]

1895. Data Vis Dispatch: July 4, July 11, July 18, July 25 1896. Using a Data Dictionary to Recode Columns with dplyr 1897. The ave() Function in R 1898. Lessons Learned From Running R in Production 1899. Unit Testing Analytics Code 1900. A Gentle Introduction to Docker 1901. Road trip analysis! How to use and […]

I saw a new study published in Journal of Conflict Resolution. Here is a part of the abstract I found interesting: “Offering a first quantitative test of domestic drivers of transnational repression, using multivariate regression analysis, the paper finds that as repression intensifies domestically, the likelihood of that state subsequently escalating its transnational repression also […]

Natural experiments are experiments that take place in the ‘real’ world (i.e., in ‘nature’) without any randomisation managed by the researcher. In contrast to a ‘normal’ experiment where only the involved researchers are aware of the experiment and the data collection, natural experiments are often available to all researchers with access to the relevant data. […]