Your Data Does Not Tell You That

Everyone wants to know what caused what. But most attempts to determine causality from observed data are ineffective in ways that surprise people. This session covers running experiments, observational data, internal validity, external validity, and controlling for confounding factors. You will learn how to do this analysis visually in Tableau, because causal analysis is a domain where automated tools often don't work, and human understanding of the situation is a requirement. Session Speaker: Madeleine Thompson