2020 Hacklytics Project
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Updated
Feb 23, 2020 - Jupyter Notebook
2020 Hacklytics Project
Find, clean, and analyze data through exploratory data analysis (EDA) investigating the World Happiness Index and determining whether weather affects happiness.
Analysis of Suicide Rate dataset & Happiness Report dataset to identify the relationship between a crude suicide rate & the happiness measure
This project analyzes the 2020 World Happiness Report to draw conclusions about the general well being of Africa. The report generates a data set consisting of over 150 countries and their happiness scores, freedom to make life choices, social support, healthy life expectancy, regional indicator, perceptions of corruption and generosity. This an…
Final project for CS360 (Machine Learning) where I use linear regression and K Neighbors Regressor to predict a country's happiness score
This repository has the files of basic application for designed to retrieve details about the top 50 happiest countries in the world for the year 2022.
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.
Discover a new way to track your happiness and boost your productivity. yappi aims to improve productivity and well-being in agile software development teams by self-reported happiness tracking with advanced analytical tools.
Discover a new way to track your happiness and boost your productivity. yappi aims to improve productivity and well-being in agile software development teams by self-reported happiness tracking with advanced analytical tools.
An analysis of the 2020 World Happiness Report based on 2019's WHR Survey Data.
Repo for the yappi organization.
Analyzing Happiness Score for 153 countries during 2015-2020 using Linear regression, Tree method, K means Clustering by R. Coursework of UW Madison SP 2021 STAT 340.
Functional specification to calculate per country's happiness score
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