Any data but iris 👁
COVID19 Data Analysis Using Python -- Coursera Project
Data Science Projects done at Data Trained Education during PG Data Science & ML Course
Analysis of Happiness scored according to economic production, social support, etc.
Data Analytics projects
WorldHappinessReport
Data Analysis of World Happiness
Comprehensive exploratory data analysis (EDA) and visualization of the World Happiness Report 2025. Analyzes global rankings, regional distributions, key happiness factors, and detects wealth-happiness paradox outliers using Python (Pandas, Matplotlib, SciPy).
The World Happiness Report is a landmark survey on the state of global happiness. The first report was published in 2012, the second in 2013, the third in 2015, and the fourth in the 2016 update. The World Happiness 2017, which ranks 155 countries according to their levels of happiness, was launched at the United Nations in a event that celebrat…
A Search For A Correlation Between Alcohol Consumption and Happiness
A comprehensive 📊Tableau dashboard project analyzing the 🗺️World Happiness Report (2015-2023) with 📈interactive visualizations exploring regional patterns, economic impacts, and social factors influencing global🔢 happiness scores.
An analysis on the world happiness report.
World Happiness Report analysis (2011–2025) across 168 countries — data cleaning, visualisations, ML predictions, and LSTM/Transformer neural forecasts to 2030. Includes a Russia deep-dive with factor breakdown and the 2022 paradox.
This is a private project in which I conducted exploratory data analysis using Python. Specifically, I analyzed the World Happiness Report 2023 to gain insights into global happiness levels.
Power BI dashboard analysing the relationship between GDP, unemployment rate, and happiness scores across 100+ countries using World Happiness Report data (1991–2023).
Final project for CS360 (Machine Learning) where I use linear regression and K Neighbors Regressor to predict a country's happiness score
Applying data visualization techniques; organizing, cleaning, and aggregating data from multiple sources; I determine how much happiness has changed over time in all regions of the world
Is educational inequality a stronger predictor of national happiness than income inequality? A rigorous cross-national analysis using UNESCO WIDE, World Bank Gini, and World Happiness Report data.
Data analysis on the COVID-19 dataset published by John Hopkins University.
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