The CIA Factbook is full of data in tables about the world. Below I downloaded CO2 emissions from 207 world regions and visualized them in Excel and with my prototype software.
The added value is to be understood in an evolutionary context. First we put data into tables, then we learned to visualize them as curves which, as an image, immediately tell us more than a series of data.
Then spreadsheet programs like Excel perfected the process of visualizing data by offering different kinds of charts.
The value that the 3d metric approach adds, lies on the level of additional visual and metric information:
Data points are connected into colourful curves
Data points are connected such that Up lines are green and Down lines are red
Many data curves are presented as parallel curves
Data curves are presented in their individual vertical frames
Data curves are superimposed in a 2D axis system
Each vertical frame is positioned in a “visual 3D” space
Different types of charts offer different kinds of “visual effects”
The presentation in “visual 3D” offers additional “metric values” or “quantifiers” that serve as indicators of different kinds of correlations
Quantifications are provided by axis labels
Metric values and quantifiers need to be programmed for individual applications to customise frame values and tailor axis labels
Additional visual and metric information provided by 3d metric screens:
the height of individual frames
the width of individual frames
the diagonal distances between frames
the slope and shape of the line that the bottom right corners of the frames create
scope for further quantifications through other parameters.
The venue was the London Knowledge Lab – exploring the future of learning with digital technologies – in Bloomsbury with the impressive history and tradition of interdisciplinary enquiry at the frontiers of knowledge.
The structure at the London Knowledge Lab is a masterpiece of design and execution!