Collaborating Authors

Thinking Outside of the Visualization Box


There's still time to secure a place at the Data Visualization Summit, which returns to the Westin Copley Place in Boston in just 4 weeks time, on September 25 & 26. This event will bring together the leading data visualization experts for an exploration of the tools, trends and technologies that are shaping the future of this diverse discipline. In addition to keynote presentations, workshops, panels and countless networking opportunities, we've also launched our first Data Visualization Poster Competition. For a chance to showcase your skills, ideas and understanding to an executive led audience of data visualization gurus (and win great prizes), submit a visualization that presents data in a digestible way by Tuesday, September 9. For a sneak-peak of what to expect at the summit, check out a presentation from the Senior Data Scientist at Jawbone, 'Dream a Little Bigger'.


AAAI Conferences

The task of narrative visualization has been the subject of increasing interest in recent years. Much like data visualization, narrative visualization offers users an informative and aesthetically pleasing perspective on "storydata." Automatically creating visual representations ofnarratives poses significant computational challenges due to the complex affective and causal elements, among other things, that must be realized in visualizations. In addition, narratives that are composed by novice writers pose additional challenges due to the disfluencies stemming from ungrammatical text. In this paper, we introduce the NARRATIVE THEATRE, a narrative visualization system under development in our laboratory that generates narrative visualizations from middle school writers' text. The NARRATIVE THEATRE consists of a rich writing interface, a robust natural language processor, a narrative reasoner, and a storyboard generator. We discuss design issues bearing on narrative visualization, introduce the NARRATIVE THEATRE, and describe narrative corpora that have been collected to study narrative visualization. We conclude with a discussion of a narrative visualization research agenda.

How to Spot Visualization Lies


It used to be that we'd see a poorly made graph or a data design goof, laugh it up a bit, and then carry on. At some point though -- during this past year especially -- it grew more difficult to distinguish a visualization snafu from bias and deliberate misinformation.

50 great data visualizations


I think many of these visualizations are just pure art, but delivering no insight. So we selected a few of the most powerful ones for you. Click here to check the 50 visualizations. Check out our previous article on great visualizations. Or do a DSC search to find all our articles about visualization.

Data visualization


Data visualization is what attracts at first sight is what properly should help affirm what text and numerical results say (Anscombe's quartet). It is important because otherwise it may bring confusion. For some time I was looking for information on the subject and I must say it is abundant. There are resources that can be used to improve the graphical representation of our investigation as we can find organized on Nature Methods and in the pages of the courses CS 171 - Visualization and CS 1109 Data Science on the subject of the prestigious Harvard University. The tools to perform graphics are abundant most important and most used are python and R also can be used more easily Matlab or Tableau, BoxPlotR,etc.