stevemiller141

After posting my most recent blog using census data to illustrate handling “large” dataframes in R exploiting fst and feather file formats, I realized I could have taken the… Read More »Writing/Reading Large R dataframes/data.tables — Addendum.

I had an interesting discussion with one of my son’s friends at a neighborhood gathering over the holidays. He’s just reached the halfway point of… Read More »A Blast from Python Past

After posting my last blog, I decided next to do a 2-part series on XGBoost, a versatile, highly-performant, inter-operable machine learning platform. I’m a big fan of… Read More »XGBoost with Python — Part 0

I started a series on causal inference for data science a few weeks back. I think CI methodologies offer great potential for the DS discipline, given that… Read More »Matching the Exact Matching of MatchIt

My last DSC blog left me a bit disappointed. While the loads of the beefy household and population files for the American Community Survey worked well, the… Read More »From Data Dictionary to Meta Data with Simple Text Wrangling in Python

For those who follow the stock market, October’s been a pretty rough month, with overall market levels, as measured by major indexes such as the… Read More »POTUS and the Stock Market

I’ve spent time over the last few months attempting to enhance my skills in the statistical sub-field of causal inference. Overly simplified, causal inference comprises… Read More »Mixing & Matching in R for Data Science

A poll released recently showed Python increasing its lead over R as the language of choice for analytics professionals. Setting aside questions of the representativeness to the… Read More »R, Python, Julia — and Polyglot

I’m a big college sports fan, especially active in debates about which D1 conference is best. Five years ago, I came across the Learfield Directors’ Cup,… Read More »A Little College Sports Analysis, but First a Little Data Wrangling