For my final I am focusing on representing data with 3D objects.
I am interested in creating a tool that can be used to create data visualization pieces for people interested in 3D.
A data visualization piece includes:
- a composition (the container of the entities)
- one or more parts (the piece of information)
The parts are 3D object whose meshes are distorted according to the changes of the entity over time.
Changes are bind to features in the 3D object; increases in entity’s values shallow the shape of the 3D object.
The changes can be listed in a CSV file or parsed from APIs (in the first release only Twitter is available).
The representation of these changes on the 3D object can be recorded and eventually exported for 3D printing.
As proof of concept I will use the following datasets: market stocks, online activity records and Twitter word counts.
I am working on finding the proper 3D objects suitable for representing the entities above.
The questions I am trying to solve:
Is the 3rd dimension conveying an additional and understandable layer of information?
What are the limitations of a 2D representation that could be overcome with a 3D one?
