Statistical analysis of the World Happiness Report using regression, PCA, ANOVA, clustering, and data visualization in R.
The World Happiness Report consists of the scores from nationally representative samples for the years 2015-2019.
Interactive data visualization website exploring global happiness, economic, health, and demographic indicators across 133 countries.
This project performs exploratory data analysis (EDA) on the World Happiness dataset, analyzing global happiness scores based on factors like income, social support, life expectancy, and freedom. The goal is to uncover insights about what makes countries happiest using data visualization and statistical techniques.
Interactive D3.js dashboard exploring global happiness trends (2015–2022) — choropleth map, bar chart, line chart, scatter plot
Exploratory Data Analysis of World Happiness Report 2024 using R, ggplot2, and R Markdown — analyzing happiness trends across 138 countries from 2005 to 2023
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