A different interactive technique is to explore an underlying dataset, in order to empirically verify whether it follows a proposed model. In mathematics, an example would be sampling from probability distributions, or trying to fit a claimed to be normally distributed dataset (such as the height of a population of people) against the normal distribution. By being able to explore datasets directly in the paper describing them, both reviewers and readers have a more powerful handle on the properties inherent to the data. While open to other alternatives, Authorea currently offers support for this workflow via D3.js \cite{d3js}, as well as a quick-start template and help articles.