deletions | additions       diff --git a/section_Visualizing_Data_label_sec__.tex b/section_Visualizing_Data_label_sec__.tex  index 147178d..8dba3f4 100644  --- a/section_Visualizing_Data_label_sec__.tex  +++ b/section_Visualizing_Data_label_sec__.tex 
...
\section{Visualizing Data}\label{sec:data}  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 facts and caveats 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. An example of a D3.js figure, sampling from the normal distribution, can be seen in the web version of this paper \cite{live-math}.