README.qmd

---
format: gfm
360readme:
  title: Education brain drain
  summary: Visualises the flow of international students between countries toward highly developed economies
  repo: report-global-education
  share-url: https://globaleducation.360visuals.org/topcountries?edshare
  data-sources: |
    <ul>
      <li><a href="http://data.uis.unesco.org">UNESCO Institute of Statistics</a></li>
      <li><a href="https://ourworldindata.org/human-development-index">Our World in Data</a></li>
    </ul>
---

# {{< meta 360readme.title >}}
### [📋&nbsp;Add&nbsp;graphic&nbsp;to&nbsp;your&nbsp;story]({{< meta 360readme.share-url >}}?edshare) • [📊&nbsp;Get&nbsp;the&nbsp;data](data) • [💻&nbsp;Reproduce&nbsp;the&nbsp;analysis](#-reproduce-the-analysis)

{{< meta 360readme.summary >}}

## ♻️ Use + Remix rights

![[Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0)](https://mirrors.creativecommons.org/presskit/buttons/80x15/png/by.png)

These charts, as well as the analyses that underpin them, are available under a Creative Commons Attribution 4.0 licence. This includes commercial reuse and derivates.

<!-- Do any of the data sources fall under a different licence? If so, describe the licence and which parts of the data fall under it here! if most of it does, change the above and replace LICENCE.md too -->

Data in these charts comes from:

{{< meta 360readme.data-sources >}}

**Please attribute 360info and the data sources when you use and remix these visualisations.**

## 💻 Reproduce the analysis

### Quickstart: use the dev container

This project comes with a ready-to-use [dev container](https://code.visualstudio.com/docs/remote/containers) that includes everything you need to reproduce the analysis (or do a similar one of your own!), including [R](https://r-project.org) and [Quarto](https://quarto.org).

[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/360-info/{{< meta 360readme.repo >}}?quickstart=1)

::::{.callout-important}
In order to reproduce this analysis, you will need an account with the [Copernicus Climate Data Store](https://cds.climate.copernicus.eu), as the ECMWF API requires authentication.

Ensure a `.Renviron` file is present with the credentials. The variable name should be the numerical CDS username prefixed with `ecmwfr_cds:`, and the value should be the key:

```env
ecmwfr_cds:[user]=[key]
```

If you have Docker installed, you can build and run the container locally:

- Download or clone the project
- Open it in [Visual Studio Code](https://code.visualstudio.com)
- Run the **Remote-Containers: Reopen in Container** command

Once the container has launched (it might take a few minutes to set up the first time), you can run the analysis scripts with:

```sh
quarto render
```

Or look for the `.qmd` files to modify the analysis.

### Manual setup

To setup a development environment manually, 

You'll need to:

- [Download and install Quarto](https://quarto.org/docs/get-started)
- [Download the install R](https://www.r-project.org)
- Satisfy the R package dependencies. In R:
  * Install the [`renv`](https://rstudio.github.io/renv) package with `install.packages("renv")`,
  * Then run `renv::restore()` to install the R package dependencies.
  * (For problems satisfying R package dependencies, refer to [Quarto's documentation on virtual environments](https://quarto.org/docs/projects/virtual-environments.html).)

Now, render the `.qmd` files to the `/out` directory with:

```sh
quarto render
```

## ❓ Help

If you find any problems with our analysis or charts, please feel free to [create an issue](https://github.com/360-info/{{< meta 360readme.repo >}}/issues/new)!