World Happiness’ Relationship to Social Factors
We chose this dataset because we want to analyze what factors affect people’s happiness scores. Factors that are included into our consideration are country, year, GDP, healthy life expectancy at birth, freedom to make life choices, generosity, and perceptions of corruption. Our goal is to find out both direct and inverse relationships between people’s heappiness and above factors.
A website will be built to present our analysis and conclusion derived from the World Happiness Report data. On this website, first, people could read the background of the World Happiness Report. We would like to focus on which factors contribute most to people’s happiness. Second, there would be questions that arose during our process of analyzing the data on the website. Third, we would use plots and other formats to best conclude our result. Finally, we would discuss our findings and our expectations.
We downloaded this dataset from World Happiness Report.
library(readxl)
happiness_data = read_excel("DataPanelWHR2021C2.xls")We will first visualize the global happiness score distribution with a world map and a bar plot of happiness rank. Besides, a yearly alteration line plot will be presented. Then we will investigate the relationship between happiness score and GDP, social support, life expectancy, freedom score to make life choices, Generosity, Perceptions of corruption, and scatter plots with fitted curve will be plotted. All plots will be presented by plotly interactive plots to ensure readability. The coding challenges remains in data cleaning, visualizing, and relationship analyzing.