analyses using other, more established media, and provide a link, for the “curious”, to the notebook where they performed the analysis in the first place.” Adam Rule, Aurélien Tabard, James Hollan. Exploration and Explanation in Computational Note- books. ACM CHI Conference on Human Factors in Computing Systems, Apr 2018, Montréal, Canada. pp.1-12, 10.1145/3173574.3173606 . hal-01676633
Sure, here is the link. ' & I added some variables that I thought could be useful & the result is better, but could you please help check? This is my link. Yup. No problem, on it. ' Seems like everything is OK! Thanks a lot, this is an awesome work! ' Easy to share & remix
that make use of the best of both worlds! Data processing with Python Interactive data visualization with d3.js Example: visualizing complex fraud rings with interactive graph networks
worlds! Data processing with Python Interactive data visualization with d3.js Example: visualizing complex fraud rings with interactive graph networks • Access browser APIs straight from Python! Manipulate DOM without touching JavaScript Python+JS? Now with even more ✨ superpowers ✨
a future workflow that allows you to do your data munging in Python, fit a quick model in R or JAGS, solve some differential equations in Julia, and then display your results with a live interactive d3+JavaScript visualization... and all that within within a single, portable, sharable, and hackable file.” https://github.com/iodide-project/iodide Contribute to Iodide @ GitHub