Exploring Visualization Techniques with World Happiness Dataset
Authors: Gitanjali Koli, Dhanashree Deore, Tanmay Deokar, Roshani Gaikwad
Abstract: Happiness is the current important research issues in psychology and social sciences, which is affecting people’s daily lifestyle, work habits and thinking patterns, it also provides guidance for government policy making. However, in the current analysis of happiness, there are many challenges in variable selection and prediction. Due to the large personal differences and differences in determinants of the experience of happiness, this undoubtedly makes the modeling of happiness more difficult. The main purpose of this project is to propose various algorithms to analyses the relationship between people’s happiness index and the responses to the problems they have answered using the obtained dataset of the survey, which collects a random number of people’s happiness index and to generate predictions in the new dataset that are fairly consistent with actual values.
Keywords: Happiness, Happiness index, learning techniques
Paper Id: 230465
Published On: 2024-02-05
Published In: Volume 12, Issue 1, January-February 2024
Cite This: Exploring Visualization Techniques with World Happiness Dataset - Gitanjali Koli, Dhanashree Deore, Tanmay Deokar, Roshani Gaikwad - IJIRMPS Volume 12, Issue 1, January-February 2024.