Bibliometric Analysis using R for Non Coders

This book PDF is perfect for those who love Reference genre, written by Aidi Ahmi and published by which was released on 28 February 2022 with total hardcover pages 260. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Bibliometric Analysis using R for Non Coders books below.

Bibliometric Analysis using R for Non Coders
Author : Aidi Ahmi
File Size : 55,9 Mb
Publisher :
Language : English
Release Date : 28 February 2022
ISBN : 978186723xxxx
Pages : 260 pages
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Bibliometric Analysis using R for Non Coders by Aidi Ahmi Book PDF Summary

This book explains all the topics and analyses covered in Biblioshiny, a tiny app part of the Bibliometrix R package. For each topic, this book will (1) introduce the concept, (2) show the steps of how it can be conducted, and (3) explain how each result can be interpreted. Some of the important references have also been highlighted for the readers to investigate further. R is a programming language that has been used for statistical computing and data analytics. The use of this software is possibly quite difficult for non-technical users. However, this book will introduce an app that can integrate all the technicalities into a simpler one that can easily be used by non-coders or those who do not have any knowledge of programming. While this app seems too easy to use, it does, however, require the user’s understanding of some of the processes and concepts before it can be run. This book also introduced a tool to clean and harmonise bibliographical data using OpenRefine, a powerful tool for working with messy data. Although this tool is not part of Biblioshiny, every researcher needs to make sure that their data is clean before any analysis can be conducted.

Bibliometric Analysis using R for Non Coders

This book explains all the topics and analyses covered in Biblioshiny, a tiny app part of the Bibliometrix R package. For each topic, this book will (1) introduce the concept, (2) show the steps of how it can be conducted, and (3) explain how each result can be interpreted. Some of the important

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