We took the given notebook from https://clementinecttn.github.io/MetaZipf/metametazipf_notebook.nb.html which contains the main code for the findings and ran the code cells. Since it is an html-notebook which can not be run directly, we copied the code from the cells into a jupyter-notebook with an R kernel running in jupyter-lab.
We have basic knowledge of working with the programming language R. We have good working knowledge of descriptive statistics and visualization.
We ran the notebook in a jupyterlab environment which was started in a docker-container on the host machine. For this we used the docker-image from ´quay.io/jupyter´which already contained the R-kernel for jupyter-notebooks.
It would be great to have just a single notebook which loads the raw data in the beginning and runs all the necessary steps until the results are reached.
The path from the raw data to the results could be more clear. The analysis of the data is distributed over different files in the repository.
A license should be added to allow for reuse. Without that, only the ideas but not the concrete code can be reused by other researchers.
Overall it is clear, that a lot of effort has been made to make the work reproducible. Nevertheless, the structure of the repository could be simplified. Adding a permissive license the the repository would be great for legal certainty for other researchers using the material.