Modeling salary and gender in the tech industry

One of the biggest projects I have worked on over the past several years is the Stack Overflow Developer Survey, and one of the most unique aspects of this survey is the extensive salary data that is collected. This salary data is used to power the Stack Overflow Salary Calculator, and has been used by various folks to explore how people who use spaces make more than those who use tabs, whether that’s just a proxy for open source contributions, and more.

Opioid prescribing habits in Texas

A paper I worked on was just published in a medical journal. This is quite an odd thing for me to be able to say, given my academic background and the career path I have had, but there you go! The first author of this paper is a long-time friend of mine working in anesthesiology and pain management, and he obtained data from the Texas Prescription Drug Monitoring Program (PDMP) about controlled substance prescriptions from April 2015 to 2018.

(Re)Launching my supervised machine learning course

Today I am happy to announce a new(-ish), free, online, interactive course that I have developed, Supervised Machine Learning: Case Studies in R! 💫 Supervised machine learning in R Predictive modeling, or supervised machine learning, is a powerful tool for using data to make predictions about the world around us. Once you understand the basic ideas of supervised machine learning, the next step is to practice your skills so you know how to apply these techniques wisely and appropriately.

Practice using lubridate… THEATRICALLY

I am so pleased to now be an RStudio-certified tidyverse trainer! 🎉 I have been teaching technical content for decades, whether in a university classroom, developing online courses, or leading workshops, but I still found this program valuable for my own professonal development. I learned a lot that is going to make my teaching better, and I am happy to have been a participant. If you are looking for someone to lead trainings or workshops in your organization, you can check out this list of trainers to see who might be conveniently located to you!

Introducing tidylo

Today I am so pleased to introduce a new package for calculating weighted log odds ratios, tidylo. Often in data analysis, we want to measure how the usage or frequency of some feature, such as words, differs across some group or set, such as documents. One statistic often used to find these kinds of differences in text data is tf-idf. Another option is to use the log odds ratio, but the log odds ratio alone does not account for sampling variability.