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” ...

Data visualisation and analysis techniques serve as the cornerstone for interpreting complex datasets across diverse scientific fields. These methods enable researchers to translate quantitative and ...

CartoDB, a data visualization company founded in Madrid in 2012, changed its name to CARTO to celebrate its new analysis tool CARTO Builder and to emphasize its attempt to enlarge its audience from ...

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 ...

R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...

Topological data analysis (TDA) is a methodology designed to study qualitative properties (shapes) of data using topological, statistical, and computational ideas. This topological framework has ...

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 ...

Data visualisation and chart analysis have evolved into essential tools for exploring and communicating complex quantitative information. Modern research within this field focuses on automating the ...

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 ...