/world-happiness-project

🌎 Basic exercise of data wrangling and simple visualizations in Python using World Happiness Report's data.

Primary LanguageJupyter Notebook

What makes people happy?

Introduction

The World Happiness Report is a landmark survey of the state of global happiness that ranks 156 countries by how happy their citizens perceive themselves to be. The World Happiness Report focuses on happiness and the community: how happiness has evolved over the past dozen years, with a focus on the technologies, social norms, conflicts and government policies that have driven those changes.

The information in the 2018/19 dataset is based on answers to the most life evaluation address inquired within the survey. This address, known as the Cantril step, asks respondents to think of a step with the most excellent conceivable life for them being a 10 and the most exceedingly bad conceivable life being a and to rate their claim current lives on that scale.

Goal

Tell a story with your dataset and try to answer the following question: Which factors are the most important in order to live a happier life? To achieve this goal use EDA and the different funcionalities offered from python visualization libraries (matplotlib, seaborn, plotly...).

Dataset

Ex2.3._Happiness-Score.csv