Visual Analytics of Happiness Index In Parallel Coordinate Graph

  • Zainura Idrus
  • M. Bakri
  • Fauziah Noordin
  • Anitawati Mohd Lokman
  • Sharifah Aliman
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 739)


For decades, quality of work life has always been associated with human wellbeing, which eventually results in happiness. This concept of happiness consistently correlated with increase in business performance, health, marital success, friendship, longevity, creativity, profit and promotion. Thus, a survey work through happiness index assessments method has been undertaken by a university to understand its employees’ state of wellbeing. The method accesses the employee happiness index as a mean to understand the employees’ wellbeing state. The process starts by first conducting surveys among the employees. The survey data are indexed by responses to nine respondent profiles attributes, which are campus, type of work, group of work, age, sex, and working duration, duration in the current position, marital status and number of children. They are categorized as independent parameters. Then, the employees’ happiness is assessed through eight working elements which are selected based on PERMAIg© model. The elements are general, positive emotion, engagement, relationship, meaning, accomplishment, infrastructure and gratitude. These profiles are classified as dependent parameters. Next, the relationship patterns between the two parameters need to be identified. Parallel coordinate graph has been found suitable for the relationships discovery. Since the data are big and complex with huge number of parameters, the graph tends cluttering and the relationship patterns are not revealed. Thus, filtering techniques are performed on the graph as a means to extract the relationship patterns. It is recommended that the result of the analysis to be utilized by the university management in an attempt to increase quality of working life and in supporting human wellbeing as a whole.


Happiness Index Data Visualization Visual Analytics Parallel Coordinate Graph PERMAIg© Model 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Zainura Idrus
    • 1
  • M. Bakri
    • 2
  • Fauziah Noordin
    • 3
  • Anitawati Mohd Lokman
    • 1
  • Sharifah Aliman
    • 1
  1. 1.Faculty of Computer and Mathematical SciencesUniversiti Teknologi MARAShah AlamMalaysia
  2. 2.Faculty of Computer and Mathematical SciencesUniversiti Teknologi MARA Kampus JasinShah AlamMalaysia
  3. 3.Faculty of Business and ManagementUniversiti Teknologi MARAShah AlamMalaysia

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