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Some teaching resources using R with illustrative examples exploring COVID‐19 data
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. I...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8447407/ http://dx.doi.org/10.1111/test.12258 |
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author | Berg, Arthur Hawila, Nour |
author_facet | Berg, Arthur Hawila, Nour |
author_sort | Berg, Arthur |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8447407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84474072021-09-17 Some teaching resources using R with illustrative examples exploring COVID‐19 data Berg, Arthur Hawila, Nour Teach Stat Original Articles 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. John Wiley and Sons Inc. 2021-06-25 2021 /pmc/articles/PMC8447407/ http://dx.doi.org/10.1111/test.12258 Text en © 2021 The Authors. Teaching Statistics published by John Wiley & Sons Ltd on behalf of Teaching Statistics Trust. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Berg, Arthur Hawila, Nour Some teaching resources using R with illustrative examples exploring COVID‐19 data |
title | Some teaching resources using R with illustrative examples exploring COVID‐19 data |
title_full | Some teaching resources using R with illustrative examples exploring COVID‐19 data |
title_fullStr | Some teaching resources using R with illustrative examples exploring COVID‐19 data |
title_full_unstemmed | Some teaching resources using R with illustrative examples exploring COVID‐19 data |
title_short | Some teaching resources using R with illustrative examples exploring COVID‐19 data |
title_sort | some teaching resources using r with illustrative examples exploring covid‐19 data |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8447407/ http://dx.doi.org/10.1111/test.12258 |
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