Statistically Sound Visual Data Analysis

Overview

This page documents our research effort towards developing visual interfaces that help people perform statistically sound data analysis.

Proposals

• BIGDATA: F: Statistically Sound and Computationally Efficient Massive Data Analysis - Sample Complexity, Uniform Convergence, and False Discovery Rate
  • Use cases

References

Vision and use case papers

• Towards Sustainable Insights (or why polygamy is bad for you): outlines a few examples of false discovery issues in existing visual data exploration (e.g. Vizdom) and visual recommendation tools (e.g. SeeDB)

Previous work on visualizations and statistical analysis

• Bayesian reasoning
  • Improving Bayesian Reasoning: The Effects of Phrasing, Visualization, and Spatial Ability, Ottley et al., 2016
  • Assessing the effect of visualizations on bayesian reasoning through crowdsourcing, Micallef, Dragicevic, and Fekete, 2012