World Happiness Dataset: An Exploration of Advanced Data Analysis and Visualization Tools and Techniques
| dc.contributor.author | Krasniqi, Edona | |
| dc.date.accessioned | 2025-07-17T08:52:31Z | |
| dc.date.issued | 2025-07-17 | |
| dc.description | Ky studim analizon raportin global të lumturisë duke përdorur teknika të avancuara të analizës dhe vizualizimit të të dhënave për të zbuluar faktorët që ndikojnë në mirëqenien botërore | |
| dc.description.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 explore how data visualization can be utilized as a powerful technology for data analysis and interpretation, enabling a deeper understanding of data in a meaningful way. 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 | |
| dc.identifier.citation | Krasniqi, E., & Hyseni, D. (n.d.). World Happiness Dataset: An exploration of advanced data analysis and visualization tools and techniques | |
| dc.identifier.uri | https://repository.aab-edu.net/handle/123456789/553 | |
| dc.language.iso | en | |
| dc.publisher | AAB College | |
| dc.subject | World Happiness | |
| dc.subject | World Happiness Index | |
| dc.subject | Google Data Source | |
| dc.subject | Big Data Analytics | |
| dc.title | World Happiness Dataset: An Exploration of Advanced Data Analysis and Visualization Tools and Techniques | |
| dc.type | Article |