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https://github.com/luisbarrancos/dashapps

Python Dash/Plotly dashboards for life expectancy, quality of life data exploration and social media interaction.
https://github.com/luisbarrancos/dashapps

dash dashboard data-science database dataviz heroku-deployment lifeexpectancy pandas plotly plotly-dash python3

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Python Dash/Plotly dashboards for life expectancy, quality of life data exploration and social media interaction.

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## Install

### Setup your virtual environment, Python 3.8.10+

```bash
python3 -m virtualvenv venv
cd venv
source bin/env
pip3 install -r requirements.txt
```

Then run the index.py application

```bash
python3 index.py
```

Point your browser to ```localhost:8050```, the default DASH server settings, and you should see it.
The application is [live on Heroku](https://datavizmultlab.herokuapp.com/)

## Author

Luis Barrancos
*(source code, Jupyter Lab notebooks)*

## Data Sources

* [World Health Organization data](https://www.who.int/data/gho/data/indicators/indicator-details/GHO/life-expectancy-at-birth-(years))
* [United Nations data](https://data.un.org/Default.aspx)
* [World Bank DataBank](https://databank.worldbank.org/home.aspx)
* [Our World In Data](https://ourworldindata.org/life-expectancy)

### Credits

Afonso Lopes, Bruno Mascarenhas, Joáo Cardielos for the project video, audio.
Gabriel Chavarry for inspiration in his related Unity work.