TUD R Cafe Plot-a-thon: 4TU.ResearchData statistics

DOI:10.4121/7b8ae119-47b9-4759-9c1f-90f70f94ba73.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/7b8ae119-47b9-4759-9c1f-90f70f94ba73

Datacite citation style

Kwon, Hyeokjin (2023): TUD R Cafe Plot-a-thon: 4TU.ResearchData statistics. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/7b8ae119-47b9-4759-9c1f-90f70f94ba73.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Delft University of Technology logo

Usage statistics

233
views
312
downloads

Licence

GPL-3.0

This dataset is to visualize the 4TU.ResearchData resources for the plot-a-thon.

History

  • 2023-10-11 first online, published, posted

Publisher

4TU.ResearchData

Format

Images: PNG, Code: R

Organizations

TU Delft Library

DATA

Files (10)