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An interactive web application that aims to clearify the world happiness ranking among countries by combinding the world happiness data from the year 2015 up and including 2020, with easy to use and understandable charts and maps built with D3 and THREE.js.

Data analysis and forecasting applied to World Happiness

This project is an attempt to analyse world happiness using various factor across multiple countries

Data Source : https://www.kaggle.com/datasets/ajaypalsinghlo/world-happiness-report-2022

A visual analysis of World Happiness in 2020

A in depth view of country development indicators and the impact of these features against suicide rates and happiness scores worldwide.

Group project investigating The World Happiness Report and what characteristics makes a country happy.

Numerical Calculus final project

This project has been prepared to reveal what kind of changes the Covid-19 pandemic process has caused in the general happiness levels of people all over the world.In the project, the data were visualized as before and after the pandemic.

This data analysis project aims to explore and understand the factors influencing global happiness. Using the World Happiness 2019 Report dataset, we will investigate the relationships between various socio-economic, environmental, and cultural factors and the happiness levels of different countries or regions.

We train Linear Regression, Neural Networks, and other machine learning models on data from the World Happiness Report to quantitatively define the main factors affecting humans’ subjective sense of happiness and thus develop a method to predict happiness.

how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist o…

Analysis of rising covid-19 cases and happiness of people.

This repository provides a Streamlit dashboard that analyzes the World Happiness Report. It analyzes factors that influence happiness, visualizes patterns, allows country comparisons, and identifies major drivers. NGOs and governments can use the insights provided to inform policy and increase well-being.

Un estudi sobre l'efecte del monòxid de carboni en l'estat de benestar d'un país.

This project analyzes the World Happiness Report 2020 dataset using Python. It explores factors contributing to happiness levels across countries through data visualization and correlation analysis.

Repo for the yappi organization.

A data-based approach to find trends or patterns between happiness and gender equality

Analyzing the happiness data for the year 2019 using Power BI