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COVID-19 Analytics in Jupyter: Intuitive Provenance Integration Using ProvIt

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-030-80960-7_22

Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85112273603

Type: Book Chapter

Book Title: Provenance and Annotation of Data and Processes - 8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, Virtual Event, July 19-22, 2021, Proceedings (2021)

Page Reference: 256-262