Find, clean, and analyze data through exploratory data analysis (EDA) investigating the World Happiness Index and determining whether weather affects happiness.
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Updated
Apr 8, 2021 - Jupyter Notebook
Find, clean, and analyze data through exploratory data analysis (EDA) investigating the World Happiness Index and determining whether weather affects happiness.
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This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program; Data Visualization Course.
An interactive dashboard that visualises global happiness data (2020-2024), allowing users to explore key factors affecting happiness by continent and country.
A colorful bubble plot visualizing the relationship between salary and happiness scores. This project uses Seaborn’s scatterplot() with size and color mapping to represent multi-variable data in a clear and engaging way.
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.
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?
This project is about Walkability vs. Subjective Well-Being.
Repository for Big Data Processing - Contains Jupyter Notebooks and Datasets for data analysis and processing tasks related to Big Data.
The analysis delves into the global happiness index across various countries. Through a comprehensive approach, utilize a variety of graphs to elucidate the intricate relationships between different features encapsulating the essence of happiness.
Quantitative analysis of how the pandemic affected healthcare systems and national happiness using machine learning.
A Flask web app that predicts a country's happiness category using a CatBoost model, with inputs for GDP, trust, dystopia, country and region, styled with responsive CSS.
Repository for exam project of Spatial analytics course 2021 at Aarhus University. Project name: 'Happiness and green urban spaces: how green is happiness?' The project was done by Ruta Slivkaite and Bianka Szöllősi.
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