{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/analysis-of-global-covid-19-data","title":"Analysis of Global Covid-19 Data","arxiv_id":null,"date":"2021-09-26","proceeding":"Preprint 2021 9","authors":["Nacabodi","Nacaskul"],"abstract":"This article demonstrates interactive visualisation tools, country/continent comparison, cluster analysis, and comparison of country/continent incidence numbers (Covid-related cases and deaths) against baseline fit using simple Supervised Learning method, using Wolfram Mathematica.","url_abs":"https://github.com/Nacabodi-Nacaskul/AnalysisCovidData/blob/main/Abstract.txt","url_pdf":"https://github.com/Nacabodi-Nacaskul/AnalysisCovidData/blob/main/Nacaskul__Nacabodi_2021__AnalysisOfGlobalCovid19DataFinished.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"analysis-of-global-covid-19-data","repo_url":"https://github.com/Nacabodi-Nacaskul/AnalysisCovidData","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}