Seeing Theory

A visual introduction to probability and statistics.


Seeing Theory is a project designed and created by Daniel Kunin with support from Brown University's Royce Fellowship Program, which funds independent work carried out by undergraduates. The goal of this website is to make statistics more accessible to a wider audience through interactive visualizations.

Statistics is quickly becoming the most important disciplines of the modern world. According to the American Statistical Association, "statistician" is one of the top ten fastest-growing occupations and statistics is one of the fastest-growing undergraduate majors. Statistical literacy is essential to our data driven society. Yet in spite of the increasing demand for statistical competence, pedagogical approaches to the teaching of statistics have lagged behind. Using Mike Bostock’s versatile JavaScript library D3.js, Seeing Theory visualizes the fundamental concepts covered in the standard introductory college or Advanced Placement course in classical statistics. Students in such courses are encouraged to use Seeing Theory as a resource to supplement their exploration of this wonderful field.

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The Team

Tyler Dae DevlinJingru GuoDaniel KuninDaniel Xiang