Visualises the flow of international students between countries toward highly developed economies
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.
Data in these charts comes from:
Please attribute 360info and the data sources when you use and remix these visualisations.
This project comes with a ready-to-use dev container that includes everything you need to reproduce the analysis (or do a similar one of your own!), including R and Quarto.
::::{.callout-important} In order to reproduce this analysis, you will need an account with the Copernicus Climate Data Store, 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:
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
- 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:
quarto render
Or look for the .qmd
files to modify the analysis.
To setup a development environment manually,
You’ll need to:
- Download and install Quarto
- Download the install R
- Satisfy the R package dependencies. In R:
- Install the
renv
package withinstall.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.)
- Install the
Now, render the .qmd
files to the /out
directory with:
quarto render
If you find any problems with our analysis or charts, please feel free to create an issue!