From Data Sketching to Dataviz: An Experiment with The Vistorian
In this post I do not mean to give a complete overview of the Dataviz workshop in Aix last week (February 14-15). Instead I will give a personal account of the hands-on session we had with Benjamin Bach (Edinburgh University) on Friday.
During the hands-on workshop, participants had the opportunity to bring their own data, to play with them and to experiment with uncommon visualization tools. I personally chose the Shanghai Rotary Club as a case study and I used the data I recently compiled from three successive rosters (1930, 1940, 1948) that I found in the Calder Papers at the Hoover Institution Archive (Stanford).
But before diving into digital techniques, Benjamin invited us to leave our computers aside for a while and to just use a basic pen in order to sketch out our ideas on a simple sheet of paper. This is what he calls “data sketching”.
As Benjamin rightly put it, data sketching is critical in the ideation process. It also helps to explore the visualization design space; to familiarize ourselves with our data; to structure our data and messages; to make informed choices about your visualization design; and to communicate ideas.
We first divided a paper sheet into six sections (see picture 1 below) : in the first section at the top, we had to write down data elements, attributes and relations ; on the third and fourth sections below, we mentioned the research context and our intended audience (conference, research paper, website, teaching…); at the bottom, we articulated our research questions and the messages we wanted to communicate;
Using new sheets, we had to sketch various possible ways of visualizing our data with a view to answer our research questions (see picture 2)
- On the last sheet, we had to refine these proposals in order to elaborate our final visualization after exchanging with other participants (see picture 3).
At the end of the data sketching session, I came to the conclusion that while basic tools and common visualizations (Excel tables and graphs) may be sufficient for preliminary statistical analysis (members nationality, positions, class of business), it was not satisfying for analyzing relational, spatial and temporal patterns that are not immediately legible in my data.
I found, however, that The Vistorian may be slow at times and we sometimes need to close and restart the application to be able to use it again. Moreover, it is not always easy to navigate between the original table view and the various views. And it would be wonderful to have more customizing options (e.g. to change the color of nodes or play on their length). But this is a very partial experience of The Vistorian. I have presented but a very limited sample of the available options and my preliminary explorations still deserve further examination. This short-sighted overview of this exciting tool certainly does not do justice to its manifold possibilities (notably the adjacent matrix and mapping views) and I encourage other historians to try it and “play” with their data.
- First, data sketching may be a useful exercice even – or particularly? – in view of “serious” scholarly purposes (e.g. publishing articles in academic journals, presenting a research papers at a conference).
- the workshop has offered a rare opportunity to exchange with colleagues, to communicate our ideas (which is not always easy), to receive critical feedback on our own research, in order to better understand what doesn’t work and why it doesn’t work and to imagine alternative ways of using our data (e.g. my teammate suggested that I should use treemaps to visualize social-professional categories and sectors of activity instead of the usual bar or pie charts) ;
- It is good sometimes to return to the foundations of visual thinking before venturing into sophisticated visualization techniques. While a lot of self-claimed “revolutionary” tools today are good at marketing themselves, they are pretty much limited for conveying scientific messages. Through data sketching we become more critical toward “off-the-shelf” applications – and it appears that too many of them tend to forget the basics of visual communication and graphics semiology, as they have been remarkably established by Jacque Bertin as early as 1967.
Keeping this in mind, data sketching and experimenting with tools like The Vistorian invite us to go beyond tables and common graphs (bar and pie-charts) – and more generally beyond numerical or database-driven way of thinking – to move toward more creative visualizations.
It is not so easy for classically trained historians to think visually. Yet the effort is worth trying. Sketching, drawing and visualizing historical data are not a waste a time. Visualizations allow to see things we would not see through a linear reading of sources, to reveal hidden patterns and to imagine new ways of analyzing and interpreting our data. It may help eliminate wrong hypotheses and raise unexpected research questions. In a word, it is an opportunity to thing differently.
Cite this blog post
Cécile Armand (2019, February 20). From Data Sketching to Dataviz: An Experiment with The Vistorian. Elites, Networks and Power in modern China. Retrieved February 29, 2024, from https://doi.org/10.58079/o8kc