Open AccessPrediction analysis of the happiness ranking of countries based on macro level factors
Author(s) -
Dini Handayani,
Muharman Lubis,
Arif Ridho Lubis
Publication year - 2022
Publication title -
iaes international journal of artificial intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.341
H-Index - 7
eISSN - 2252-8938
pISSN - 2089-4872
DOI - 10.11591/ijai.v11.i2.pp666-678
Subject(s) - happiness , macro , ranking (information retrieval) , computer science , python (programming language) , expression (computer science) , data science , artificial intelligence , data mining , social psychology , psychology , programming language , operating system
Happiness is an essential universal human goal in their life that can improve the quality of life. Since the introduction of positive psychology, the primary consideration has been pointed out to the study of the role from certain factors in predicting the happiness, especially the advancement of technology that allows computer-mediated to be part of human interaction. It provides a multidimensional approach and indirect influence to the human expression and communication. The project investigates what it takes to build a happy country by analysing on the relationship between the happiness ranking of countries and their macro level factors. The World Happiness Report 2019 is used coupled with Python programming for visualizing and extracting information from the dataset to better understand the bigger picture.