Data Visualization of COVID-19 in Canada

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dc.contributor.authorPan, Suyin
dc.contributor.supervisorWu, Kui
dc.contributor.supervisorThomo, Alex
dc.date.accessioned2022-09-30T23:38:13Z
dc.date.available2022-09-30T23:38:13Z
dc.date.copyright2022en_US
dc.date.issued2022-09-30
dc.degree.departmentDepartment of Computer Scienceen_US
dc.degree.levelMaster of Science M.Sc.en_US
dc.description.abstractData visualization has been essential in fighting the COVID-19 pandemic in the past two years. Interactive dashboards helped people track, analyze, and predict the spread of the disease effectively. In this project, we created tools for visualizing the COVID-19 data in Canada to demonstrate how vaccination helped combat the pandemic, what group of people were impacted the most, and what the variant of concern was in each wave.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/14281
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectdata visualizationen_US
dc.titleData Visualization of COVID-19 in Canadaen_US
dc.typeprojecten_US

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