Quality of Life Analysis

By: Drew White

This project is part of a larger project located here: Team Week 1

Looker Dashboard

Technologies Used

• Python
• Pandas
• GeoPandas
• Matplot
• Looker Studio

Datasets Used

1. World Happiness Report 2021
2. World Happiness Ranking

Description

This project analyzes global quality of life data found on Kaggle. The data was extracted, profiled, transformed and finally visualized.

A pie chart put together highlighting the life expectancy for the top 10 countries. Code for the visualization is located in dw.ipynb. Below is the pie chart:

A line graph highlighting the happiness score for the top 10 countries. Interesting note is there seems to be correlation between Happiness and Life Expectancy with the two showing the same exact top ten countries. Code for the visualization is located in dw.ipynb. Below is the line chart:

A map highlighting the happiness score for all countries as well as a map showing the corruption rate by country. Code for the visualization is located in dw.ipynb. Below is the output of the visualization:

Setup/Installation Requirements

• Make new directory:

  mkdir <new-directory>
  cd <new-directory>

• Clone repository:

  git clone https://github.com/Drewrwhite/quality_of_life.git

• Set up a virtual environment in your terminal:

  python3.7 -m venv venv

• Activate the environment:

  source venv/bin/activate

• Install requirements.txt:

    pip install -r requirements.txt

• Open directory:

  code .

Known Bugs

• No known bugs

License

MIT

If you find any issues, please reach out at: d.white0002@gmail.com.

Copyright (c) 2022 Drew White