I work with organizations to help them get the most out their data. Whether its cleaning messy data, creating compelling visualizations, automating reports, conducting exploratory analysis, or some other data analytic problem, my goal is to help improve the quality and efficiency of your work.

The hottest trends in data science (e.g., AI, machine learning) have their place, but for many organizations they are beyond what is needed for the issue they face: A bunch of data that they don’t know what to do with. For example:

  • A medical practice that has collected thousands of patient surveys that they want to analyze but aren’t sure where to start
  • A non-profit that wants to create a data visualization for a grant proposal, but all of their data is stuck in 10 years of messy Excel files
  • A growing small business that has been manually creating sales reports every week but wants to start automating them

I am interested in helping you and your organization with these types of problems. So, whether your analytics needs are for a small non-profit, a large for-profit business, or something in between, please get in contact to learn more or to set up a time to talk about a project you have in mind.

Blog

Tidying IPEDS Data in R

If you’ve downloaded enough data from the IPEDS Data Center using the “Compare Institutions” interface, you’ve probably realized that, …

Why Use R for Institutional Research? Part 1, Many Models

Introduction I first heard about R when I was in graduate school in 2008 and fellow students used it to analyze their data. I didn’t …

Fellow R Instructors: Beware of the Curse of Knowledge!

The Curse of Knowledge in Everyday Life Several years ago my friend Lauren asked me for my recipe for BBQ seitan. I love food-related …

ggplot2: Going Beyond the Defaults

With ggplot2 - the ubiquitous tool for making plots in R - you can create beautiful data visualizations without doing much to the …

A Brief History of NBA Three-Point Attempts: 1998 to 2018 Seasons

On October 29, 2018, in a game against the Chicago Bulls, Klay Thompson attempted 24 three-pointers, making 14 of them; both marks set …

An Analysis of Gender Disparity Among Higher Education Chief Administrators

The chief administrator job of a higher education institution is, as the title implies, the pinnacle of careers in academic …

Popularity of Various Data Analytic Tools at AIR Forums

Data: It’s become a cliche to say that it’s everywhere and in quantities that are unimaginable. But data in its raw form, whether in a …