Last time I wrote on using Python/Pandas as an adjunct to loading PostgreSQL tables. In this sequel, I demo how R can be used to collaborate with… Read More »Using Python and R to Load Relational Database Tables, Part II
I enjoy data prep munging for analyses with computational platforms such as R, Python-Pandas, Julia, Apache Spark, and even relational databases. The wrangling cycle provides… Read More »Using Python and R to Load Relational Database Tables, Part I
In my many years as a data scientist, I’ve spent more time doing forecast work than any other type of predictive modeling. Often as not,… Read More »Nowcasting Chicago Crime with Python-Pandas, and R.
I pulled out a dusty copy of Thinking Stats by Allen Downey the other day. I highly recommend this terrific little read that teaches statistics with easily… Read More »Simulated Significance
Last week I posted the first of a three-part series on basic data programming with Python. For that article, I resurrected scripts written 10 years ago that… Read More »A Blast from Python Past — Part 2
A little less than a year ago, I posted a blog on generating multivariate frequencies with the Python Pandas data management library, at the same time… Read More »Frequencies in Pandas Redux
About a year ago, a young neighbor who’s enrolled in an MS is Data Science program asked my help on an R coding exercise. The… Read More »Working with Control Breaks Data in R.
Despite the consuming controversy surrounding his presidency, POTUS 45 has been able to secure solid ratings on the performance of the economy over his so-far… Read More »Jobs, Unemployment and 45's Performance.
Last time, I posted Part 2 of a blog trilogy on data programming with Python. That article revolved on showcasing NumPy, a comprehensive library created in 2005 that extends… Read More »A Blast from Python Past — Part 3
March Madness officially arrived at 6 PM CDT, Sunday 3/17/2019. 68 D1 schools — 32 league champions and 36 at large selections — received invitations… Read More »March Madness, KenPom and Python/Pandas.
