Note: for logistics reason, the prototype built for this installation is a smaller, tabletop version of the design, which you can see in the last image of this page. Throughout the next pages, the photos will refer to this smaller object, while the instructions, downloadable files, and information on materials and costs all refer to the big walkable installation. If you wish to develop the tabletop version as well, but need help to figure out how to modify the workflow, get in touch, and we'll let you know what worked in our case.

Data Walk

Performative

When someone interacts with the data installation, they are at the same time offering a spontaneous performance for the other people nearby.

Multisensory

The data experience engages multiple sense: touch, sense of balance and sight.

Scalable

The same workflow can be applied to make object of different sizes: small data-gadgets; table-top 3D charts; or very large walkable installations.

Popular Chart

The data installation resembles the form and functions of a line chart, one of the most popular chart types.

Technical difficulty

Time needed

Estimated cost

Data Walk is meant as an installation that encourages a fun and intuitive way to interact with data. In short, it consists of one or more large 3D wooden line chart(s) on which the participants can step and walk, thus engaging their sense of balance and touch to perceive the steepness, magnitude and slope of the datapoints and of the overall trend.

In an optimal scenario, there would be multiple line charts, each for a dataset or subset of a dataset. This way, the data walk would allow exploring correlations and relationships between datapoints.

The installation could be particularly useful to depict inequalities - like forms of racial and/or gender discrimination, wealth distribution, etc - by positioning two of such walkable line charts right next to each other. The participants would then walk with one foot on one chart and a foot on the other, literally feeling the unbalanced situation and the disparities through the awkwardness of walking with feet on two different levels.

It is possible to add text, grid lines, axis and annotations to the data object itself or on its base.

Possible variations

Apart from this usage, a similar workflow to the one proposed could be used to produce smaller versions of such object.

Such charts could be of medium size and be placed on a tabletop, from which participants can touch, caress and walk around the data object.

Alternatively, the workflow can be applied to produce even smaller versions of the line chart(s), which can be given out to the audience as a remainder of their visit to the event.

In terms of appearance, the line chart can be designed to have either straight or curvy lines. If the project consist of the big walkable data installation, then you should opt for the curvy lines, so that participants can climb upon the points.

If you anticipate that you will need to update the data after a while, you can also design your project with junctions, in a way that new pieces of data can be inserted as you receive new datapoints.

What you need