The new nested list provides a comprehensive overview of each table. Only essential information would be shown at the first glance (e.g. period of data collection and categorical information). Clear, straightforward, so you never mess up.
After selecting the variables, the data is usually shown as a wide and long table that overflows the margin of the display. Nonetheless, the table also fails to provide a comprehensive overview of the data to its users. As a result, the users disappointedly find that they don’t know what to do with the data, not to mention to proceed any furthur analysis.
The new design provides a WYSIWYG (what you see is what you get) selector for variables. Once the selection of variables is modified, the graph/table shown on the right side would be updated simultaneously.
The redesign also provides a brand-new function that enable the users to compare the variables cross the datasets. The aim of this function is to provide the users a more intuitive way to see possible relations between different variables, and not to be constrained by the official categories.
Always visualise raw data at the first glance, than provide tools for further investigation.
Reduce cognitive load and keep the interface intuitive and effective
Make experience consistent while producing, interacting, and viewing information
Master Student in Collaborative and Industrial Design at Aalto UniversityI am an enthusiastic designer and learner with strong interests in digital design for activism, democracy, and governance. And, I am looking for job & collaboration opportunities!
This webpage is only for the showcase session of Visualizing Knowledge Conference 2018. Please visit my website for more of my works by scanning the QR code or by the address shown below. :-D