JOURNAL ARTICLE

An Introduction to R and Python for Data Analysis: A Side‐by‐Side Approach.

  • Published In: International Statistical Review, 2024, v. 92, n. 1. P. 132 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Fischer, Daniel 3 of 3

Abstract

This article is a summary of a book titled "An Introduction to R and Python for Data Analysis: A Side-by-Side Approach." The book is designed to be accessible to a wide range of readers, including those without prior knowledge of R or Python. It primarily caters to data analysts and statisticians, but other professionals may also find value in it. The book is structured into three sections, covering the basics, common tasks and patterns, and programming styles. It includes practical exercises and covers a comprehensive range of topics in both languages. However, some readers may find the screenshots of various editors difficult to read due to the dark theme used. Overall, the book is a valuable resource for individuals looking to learn or refresh their knowledge of both R and Python. [Extracted from the article]

Additional Information

  • Source:International Statistical Review. 2024/04, Vol. 92, Issue 1, p132
  • Document Type:Article
  • Subject Area:Computer Science
  • Publication Date:2024
  • ISSN:0306-7734
  • DOI:10.1111/insr.12568
  • Accession Number:176387979
  • Copyright Statement:Copyright of International Statistical Review is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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