The Sensemaking-for-Clients Spectrum, Part I

Several weeks ago, as Laurie prepared for the Cognitive Edge workshop that she and Zhen Goh taught in Houston on September 8-9, Analysis to Action with SenseMaker®, we talked about a question of pedagogy, of “pitch”: How do you teach material when the level of experience and expertise of the potential attendees is diverse? MoreContinue reading “The Sensemaking-for-Clients Spectrum, Part I”

Statistics in the Triad, Part II: Log-Ratio Transformation

This post is a continuation of Statistics in the Triad, Part I: Geometric Mean. The two are meant to be read sequentially, since the mathematical elements of the first are an important and inescapable prerequisite for the second. If you already have a working knowledge of the geometric mean, however, and how its use differsContinue reading “Statistics in the Triad, Part II: Log-Ratio Transformation”

Statistics in the Triad, Part I: Geometric Mean

The ternary plot, better known in the Cogniverse as a triad, is familiar to users of SenseMaker as a tool for both data collection and data display. Its three vertices usually denote potential attributes, among which respondents can choose in any proportions, to amplify or augment their responses or reactions to some prompt about whichContinue reading “Statistics in the Triad, Part I: Geometric Mean”

The Man Who Mistook His Graph for a Hat

Equilateral triangles have been used as a graphical tool for presenting compositional data for at least 150 years, most prominently in geology, metallurgy, and related areas of physical chemistry; archeology and anthropology; and population studies, including genetics. According to Howarth (1996)[paywall], they were also used as early as the 18th century to show mixing ofContinue reading “The Man Who Mistook His Graph for a Hat”