• The Future of ETL and ELT

    Tuesday, August 8, 2017 - 15:03
    The data engineering industry has been through heavy disruption over the last five years. [more]
  • Exploratory Analytics? Predictive Analytics? Or Both?

    Wednesday, August 2, 2017 - 16:36
    A few weeks ago, I participated in a conference call with an Inquidia customer to discuss their new initiative in predictive analytics. [more]
  • Stock Market Performance: A look at Russell indexes in R

    Monday, June 12, 2017 - 10:15
    I just completed the annual “maintenance” on my little stock market indexes returns “app”. I’ve supported a variant of the script for seven years, changing it pretty significantly year to year. [more]
  • Forecasting for prophet in R

    Wednesday, April 5, 2017 - 15:00
    I ran across an R forecasting package recently, prophet, I hadn't seen before. This isn't surprising given the flood of new libraries now emerging in the R ecosystem. [more]
  • Homicide and Violent Crime in Chicago – a First Look at the Data with R

    Thursday, March 2, 2017 - 08:30
    Several years ago, the City of Chicago committed to making its data accessible, establishing a portal. Early in 2016, I canvassed the site, looking for crime data. [more]
  • Politics, Luck, Bayes Theorem, and Base Rates

    Wednesday, March 1, 2017 - 13:15
    My wife gave me a stern warning before we headed out to a suburban neighbor's Super Bowl party: avoid “spirited” political discussion or else. Actually, I'd already self-forwarned, having remembered being in the center of a blue vs red imbroglio several years ago. And it's safe to say there was heightened sensitivity this year. After a pretty benign gathering for the first 90 minutes or so, I did get a bit animated when the discussion... [more]
  • Containing Big Data: What Size is Your Suitcase?

    Thursday, January 12, 2017 - 10:15
    Every year it seems, we “discuss” the relative merits of his statistical software choice, SAS, versus mine, either R or Python. [more]
  • Frequencies in R - Part 1

    Tuesday, December 6, 2016 - 08:45
    I’m often asked to name the most common statistical procedure used in my company’s Data Science work. My answer, only partly in jest, is frequencies and crosstabs. [more]
  • Python Logo

    Efficient Machine Learning in H2O with R and Python, Part 1

    Wednesday, October 5, 2016 - 08:30
    One of the major benefits of working with R and Python for analytics is that there’re always new and freely-available treats from their vibrant open source ecosystems. [more]
  • 3 Challenges to Unleashing Your Data Preparation Potential

    Tuesday, August 16, 2016 - 14:45
    Read about the data prep power struggle happening inside businesses around using technology to solve problems, and what to do about it. [more]


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