I thought you might be interested in this article that we recently published in the Lancet HIV on “Definitions of Implementation Science in HIV/AIDS.” The full article can be accessed here: http://dx.doi.org/10.1016/S2352-3018(15)00061-2. In this article, we review the use of the term “implementation science” in the HIV scientific literature, then synthesize those existing definitions using network analysis, and finally offer a working definition.
In addition, we used D3 to create an interactive visualization of the network of definitions – available here: http://tinyurl.com/imp-scie-defs-hiv. Hovering over a node reveals the text of the definition; and you can click-and-drag the nodes if any are obscuring author names. Just a few tricks from my days taking your interactive data visualization class 🙂
Thanks for introducing me to interactive data visualization! I very much appreciated your course and I’m happy to have been able to apply your lessons in this article! Hope you’re having a great time with the babies!
Tag Archives: IDV4GH
Here is a little feature in Matplotlib that I never saw before: stacked bar plots with tables attached. Perhaps too ugly for my Iraq Mortality stacked bar charts, but definitely handy for exploratory work.
I learned about it because it doesn’t work in `mpld3`… just one more benefit of being part of an open-source project. It would be so cool to have a `mpld3` version with some interactivity included, since interactivity can address one pitfalls of the stacked bar chart, the challenge of comparing lengths with different baselines.
Some notes on them here: http://nbviewer.ipython.org/gist/aflaxman/c93489dd19cee2eabf00
A new issue of Stephen Few’s Visual Business Intelligence Newsletter is out. I love categorizing things like this. I have been thinking of interaction very differently than he has, but everything else seems sensible to me.
I have added some stylish HTML tooltips to mpld3, make something pretty with them. Demonstration here.
There is an exciting new project in pythonic interactive data visualization that I have my eye on: mpld3. It plays well with matplotlib-based pretty plotting packages, and has the beginnings of a plugin framework for adding custom interactivity.
I used it to mock up a Cartesian fish eye distortion plot, something I’ve wanted for DisMod-MR ever since I learned about it. (Sometimes the interactivity doesn’t work in that notebook, and requires reloading everything… cutting edge software has some rough edges.)
This may come in handy: http://gangerolf.blogspot.com/2012/09/norway-in-geojson.html
I know I have seen a nice one for USA somewhere as well.