OECD unemployment data

The data file “unemployment.csv” used below consists of data originally downloaded from the OECD Database website.

unemployment <- read.csv("unemployment.csv")
unemployment.ts <- ts(unemployment[2:5],
                      start = 1970)
plot(unemployment.ts)
window(unemployment.ts,
       start=1980,
       end=1989)
Time Series:
Start = 1980 
End = 1989 
Frequency = 1 
     Germany France  Italy Netherlands
1980   3.190  6.246  5.574       4.015
1981   4.505  7.396  6.269       5.818
1982   6.441  8.041  6.918       8.519
1983   7.921  8.253  7.694      10.987
1984   7.932  9.660  8.504      10.604
1985   8.002 10.234  8.611       9.191
1986   7.661 10.373  9.896       8.394
1987   7.611 10.479 10.248       7.982
1988   7.598  9.975 10.451       7.785
1989   6.863  9.348 10.214       6.917
delta.unemployment.ts <- diff(unemployment.ts)
plot(delta.unemployment.ts)

Downloadable R script and interactive version

Explanation

The link with the “jupyterhub” icon directs you to an interactive Jupyter1 notebook, which runs inside a Docker container2. There are two variants of the interative notebook. One shuts down after 60 seconds and does not require a sign it. The other requires sign in using your ORCID3 credentials, yet shuts down only after 24 hours. (There is no guarantee that such a container persists that long, it may be shut down earlier for maintenance purposes.) After shutdown all data within the container will be reset, i.e. all files created by the user will be deleted.4

Above you see a rendered version of the Jupyter notebook.5

1

For more information about Jupyter see http://jupyter.org. The Jupyter notebooks make use of the RKernel package.

2

For more information about Docker see https://docs.docker.com/. The container images are run with docker spawner.

3

ORCID is a free service for the authentication of researchers. It also allows to showcase publications and contributions to the academic community such as peer review.. See https://info.orcid.org/what-is-orcid/ for more information.

4

The Jupyter notebooks come with NO WARRANTY whatsoever. They are provided for educational and illustrative purposes only. Do not use them for production work.

5

The notebook is rendered with the help of the nbsphinx extension.