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.

Repo for the yappi organization.

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.

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.

In this project, members of the BYU-Idaho Online Data Science Society (BYUIODSS) try to answer the question: How did the Covid-19 pandemic affect the World Happiness Report scores?

Analysis of the report based on happiness and corruptions

Analyzing the happiness data for the year 2019 using Power BI

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

This is an Exploratory Data Analysis (EDA) in 12 Steps with an easy going dataset for beginners. The goal is to understand the correlation between variables step by step. For advance practionners you can use the profiling package in Python

Get Happiness status of your repo

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…

This project aims to do the detailed analysis of World happiness index using Python and create a dashboard summarizing entire analysis using both Tableau and Plotly Dash.

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

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

Data analysis and forecasting applied to World Happiness

La plata hace a la felicidad. ¿O es al revés? El presente trabajo es un intento por identificar, para Latinoamérica, si el crecimiento económico (medido por el Producto Interno Bruto) como indicador objetivo de bienestar repercute en mejores indicadores subjetivos de bienestar (felicidad)o si por el contrario, son estos indicadores subjetivos lo…

An exploration of World Happiness Data from 2015-2020. The website allows the user to explore 140+ countries' happiness data over time and the different effect of each demographic on happiness level. We built a flask application to query our SQL database and return our analysis to the endpoints selected by the user.

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.

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

A data analysis on the state of happiness in the world. It investigates economic, social, environmental and world factors.