Area(s) of potential collaboration: Would like to collaborate with faculty who are interested in developing grant proposals that involve GIS and network analytics. Primary research focus: I study how ...

I propose the following law: “The longer an innovative visualization exists, the probability someone says it should have been a line/bar chart approaches 1” I’ve seen the “shoulda been a line chart” ...

The Air Force Cost Analysis Agency (AFCAA) offers multiple examples of data visualization tools being actively used for cost analysis, including the Air Force Total Ownership Cost (AFTOC) program ...

Recent advances in microarray technology have led to the proliferation of experiments simultaneously measuring the transcriptional responses of massive amounts of genes to a variety of stimuli. The ...

Data can often feel overwhelming—rows upon rows of numbers, scattered information, and endless spreadsheets that seem to blur together. If you’ve ever stared at a dataset wondering how to make sense ...

The social science data analysis and visualization minor introduces students to the fundamentals and current innovations of research and data analysis across social science disciplines. It equips ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and develop an ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work with ...

Data visualizations can affect whether and how people understand and interpret data. Researchers and writers using data visualizations face choices about which data to use or emphasize. Those ...