Rotate or Wrap? Interactive Visualisations of Cyclical Data on Cylindrical or Toroidal Topologies

Area of Science:

• Data Visualization
• Human-Computer Interaction
• Cognitive Psychology

Background:

• Cyclical data presents challenges for linear visualizations due to inherent breaks or 'cuts'.
• Polar (radial) charts offer continuous representation but may introduce their own perceptual issues.
• Understanding the impact of visualization design on analytical performance is crucial for effective data representation.

Purpose of the Study:

• To investigate the effectiveness of interactively wrapping bar charts for cyclical data.
• To compare the analytical performance using interactive wrapping against linear and polar bar charts.
• To explore the generalization of interactive wrapping to other data types and dimensions.

Main Methods:

• A crowdsourced, controlled experiment involving 72 participants.
• Comparison of a novel continuous panning (interactive wrapping) technique with standard linear and polar bar charts.
• Data collection focused on error rates and analysis performance.

Main Results:

• Bar charts employing interactive wrapping demonstrated significantly fewer errors than standard linear or polar charts.
• The interactive wrapping technique enhances the continuous presentation of cyclical data, mitigating the 'cut' effect.
• The concept of interactive wrapping shows broad applicability beyond bar charts for various data types.

Conclusions:

• Interactive wrapping is a promising technique for improving the visualization and analysis of cyclical data.
• The study introduces a design space for one- and two-dimensional wrapping, inspired by 3D topologies (cylinder, torus).
• Interactive wrapping offers a versatile approach applicable to diverse data visualization challenges.