• Medientyp: E-Artikel
  • Titel: Visualization of google mobility data for provinces in Indonesia using seaborn python programming package
  • Beteiligte: Aurachman, R
  • Erschienen: IOP Publishing, 2021
  • Erschienen in: Journal of Physics: Conference Series
  • Sprache: Nicht zu entscheiden
  • DOI: 10.1088/1742-6596/1833/1/012002
  • ISSN: 1742-6588; 1742-6596
  • Schlagwörter: General Physics and Astronomy
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title> <jats:p>One important data needed in handling the COVID-19 pandemic is human mobility data. Based on mobility data provided by Google, analysis can be done as a basis for decision making. This research produces several visualization methods that provide insight to decision makers. Visualization is done using Python Programming.</jats:p>
  • Zugangsstatus: Freier Zugang