Abstract
The paper aims to visualise the world happiness scores that are reported by the United Nations. Relationship between factors that affect happiness of a country is being identified by performing a clustering analysis on the happiness score. This paper will offer more value and substantial information to practitioners in making vital decisions, by visualizing and identifying the factors exhibited by the data. The results of this study was demonstrated using Tableau tool which is a tool that is able to assist scientist to explore and visualise data using a proposed visualisation-Crisp DM model to obtain insights from the data. This paper fulfils the need for visualisation tools such as Tableau, in assisting researcher to explore and visualize huge and complex dataset in one glance.
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Lee, A.S.H., Kudbuddin, A., Teh, P.L. (2019). Data Visualisation: World Happiness at a Glance!. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2019. Lecture Notes in Computer Science(), vol 11870. Springer, Cham. https://doi.org/10.1007/978-3-030-34032-2_6
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DOI: https://doi.org/10.1007/978-3-030-34032-2_6
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