World Happiness Dataset: An Exploration of Advanced Data Analysis and Visualization Tools and Techniques

Edona Krasniqi, Dhuratë Hyseni
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Abstract

The World Happiness Report has gained considerable interest in recent years, as policymakers and researchers seek to better understand the determinants of happiness and well-being. This study aims to analyze the application areas and significance of data science techniques and tools. The main focus of the paper is to demonstrate how data visualization enables a more profound comprehension of data in a significant and meaningful manner. Design/methodology/approach - For this study, the World Happiness dataset has been selected as it is a comprehensive dataset that possesses unique characteristics, making it a suitable dataset for analysis. It includes data from over 150 countries, providing a broad picture of global happiness levels. To enhance the visibility of the data, Looker Studio is utilized, while Gephi is used to visualize the relationships between factors that impact world happiness.
世界幸福数据集:探索先进的数据分析和可视化工具和技术
近年来,随着政策制定者和研究人员试图更好地了解幸福和幸福的决定因素,《世界幸福报告》获得了相当大的兴趣。本研究旨在分析数据科学技术和工具的应用领域和意义。本文的主要重点是展示数据可视化如何能够以一种重要和有意义的方式对数据进行更深刻的理解。设计/方法/方法-在本研究中,选择了世界幸福数据集,因为它是一个具有独特特征的综合数据集,使其成为适合分析的数据集。它包括来自150多个国家的数据,提供了全球幸福水平的广泛图景。为了增强数据的可见性,使用了Looker Studio,而使用Gephi来可视化影响世界幸福的因素之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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