Abstract
This thesis delves into the complex balance between consistency and creativity in datavis library design. An examination of existing work in this field informed the implementation of a library called DataVisFlow. Additionally, an expert interview provided
insights into challenges faced in data vis work and expectations from a library. The
development of a concept and the prototype was based on the information gathered. To
illustrate the library’s process, the visualization of a US state population data set was
chosen as an application scenario. Important features of the DataVisFlow are:
• DataVisFlow Process: Enhances efficiency, promotes usability, and provides
valuable user guidance.
• Consistency Guidelines: Contributes to cohesive visualization across multiple
views.
• Data and Task Abstraction Guide: Simplifies data sets and tasks, improving
understanding and usability.
• Chart Selection Guide: Offers a structured framework for choosing suitable
chart types, streamlining decision-making.
• Chart Templates with Pre-built Interactions: Streamlines chart creation,
easing customization while ensuring cohesive design.
• Chart Guideline and Best Practices: Provides instructions and standards for
effective data vis, guiding users to create charts while avoiding pitfalls.
• Consistency Review Statements: Enables systematic validation and refinement of chart consistency.
A user study assessed the library’s concepts, processes, features, and guidelines through
diverse task scenarios. The evaluation revealed varied perspectives. While experts recognized the value of consistency guidelines, opinions on their effectiveness differed. Userfriendly features were emphasized in task abstraction, and the chart selection guide
was deemed essential for decision-making. Chart templates were found useful, with a
shared desire for increased interactivity. Some experts valued chart guidelines and best
practices, though opinions varied. The consistency review statements were helpful, but
experts preferred clearer and more concise statements for a streamlined review process.
| Date of Award | Nov 2023 |
|---|---|
| Original language | English (American) |
| Supervisor | Mandy Keck (Supervisor) |