Some teaching resources using R with illustrative examples exploring COVID‐19 data

Autor:	Arthur Berg, Nour Hawila
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Statistics and Probability 2019-20 coronavirus outbreak Mindfulness Coronavirus disease 2019 (COVID-19) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Ethnic group computer.software_genre 01 natural sciences Data Investigations in Contemporary Issues Education 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Mathematics education 0101 mathematics Graphics Curriculum IDSSP maps Original Articles teaching 030211 gastroenterology & hepatology Original Article data science Psychology computer Markdown
Zdroj:	Teaching Statistics
ISSN:	1467-9639 0141-982X
Popis:	This article is presented in two parts: in the first part we discuss the use of R and R‐related tools when implementing a data science curriculum in the classroom and direct readers to helpful R resources in education, and in the second part, we demonstrate the use of R in exploring COVID‐19 data. In particular, we explore ethnic/racial distributions and COVID‐19 death rates. Supplementary R markdown files are also included allowing all graphics to be easily reproduced. It is advised that this article be discussed with sensitivity and mindfulness to potentially vulnerable students, especially as there may be students who have lost relatives due to the COVID‐19 virus.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a815bcdaee60574074012f7582f120a http://europepmc.org/articles/PMC8447407 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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