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\section{Visualizing Data}\label{sec:data}  Idea here: Explore 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 normally distributed dataset (such as the height of a population of people) against the normal distribution.   By being able to explore  (notable fragments of) datasets directly ina mathematical paper. Again, provides a better understanding of  the actual substance of paper describing them, both reviewers and readers have a more powerful handle on  the analysis facts  and importantly allows expert reviewers caveats inherent  toquickly proof-check for common biases and skews in  thesource  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.  D3.js\cite{d3js} An example of a D3.js figure, sampling from the normal distribution, can be seen in the web version of this paper \cite{live-figure}.