TUD R Cafe Plot-a-thon: 4TU.ResearchData statistics
doi:10.4121/7b8ae119-47b9-4759-9c1f-90f70f94ba73.v1
The doi 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
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
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)
- 499 bytesMD5:
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README.md - 44,043 bytesMD5:
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correlation_downloads_views.png - 317 bytesMD5:
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correlation_downloads_views.r - 2,558 bytesMD5:
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dataloader.r - 9,230,021 bytesMD5:
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datasets.json - 66,347 bytesMD5:
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day_of_week.png - 755 bytesMD5:
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day_of_week.r - 310,982 bytesMD5:
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heatmap_year_month.png - 1,380 bytesMD5:
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heatmap_year_month.r - 387,388 bytesMD5:
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views_downloads.tsv -
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