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The way we look at data has a great impact on how we can understand it,particularly when the data is related to health and wellness. Due to theincreased use of self-tracking devices and the ongoing shift towards preventivemedicine, better understanding of our health data is an important part ofimproving the general welfare of the citizens. Electronic Health Records,self-tracking devices and mobile applications provide a rich variety of databut it often becomes difficult to understand. We implemented the hFigureslibrary inspired on the hGraph visualization with additional improvements. Thepurpose of the library is to provide a visual representation of the evolutionof health measurements in a complete and useful manner. We researched theusefulness and usability of the library by building an application for healthdata visualization in a health coaching program. We performed a user evaluationwith Heuristic Evaluation, Controlled User Testing and UsabilityQuestionnaires. In the Heuristics Evaluation the average response was 6.3 outof 7 points and the Cognitive Walkthrough done by usability experts indicatedno design or mismatch errors. In the CSUQ usability test the system obtained anaverage score of 6.13 out of 7, and in the ASQ usability test the overallsatisfaction score was 6.64 out of 7. We developed hFigures, an open sourcelibrary for visualizing a complete, accurate and normalized graphicalrepresentation of health data. The idea is based on the concept of the hGraphbut it provides additional key features, including a comparison of multiplehealth measurements over time. We conducted a usability evaluation of thelibrary as a key component of an application for health and wellnessmonitoring. The results indicate that the data visualization library washelpful in assisting users in understanding health data and its evolution overtime.

Health Figures: An Open Source JavaScript Library for Health Data Visualization