An application of data visualization technique in Arabic literature and linguistics

Author:

Yi Fan1,Mahmoudi Mohammad Reza2,S Band Shahab3

Affiliation:

1. Department of Accounting, Yantai Vocational College, Yantai City, Shandong Province, China

2. Department of Statistics, Faculty of Science, Fasa University, Fasa, Iran

3. Institute of Research and Development, Duy Tan University, Vietnam and Future Technology Research Center, College of Future, National Yunlin University of Science and Technology, Taiwan, R.O.C

Abstract

Abstract In this work, we intended to study and compare the traits of God in the Medinan and Meccan Qur'an’s Suras, based on statistics and data visualization. The entire verses of Qur’an were considered and the count of each beauty and divine glory trait was calculated, separately in Medinan and Meccan Suras. The frequencies of the divine glory, the beauty and total traits in Meccan, Medinan and total Suras were studied and compared using data visualization technique. The results indicated that for Medinan Suras, in divine glory traits, Hakem and Aziz, in beauty traits, Alim and Rahim, and totally, Alim, Rahim, and Hakem had the most uses; for Meccan Suras, in divine glory traits, Aziz and Hakim, in beauty traits, Rahman and Rahim, and totally, Rahman and Rahim had the most uses; and for total Suras, in divine glory traits, Hakem and Aziz, in beauty traits, Rahim, Rahman, and Alim, and totally, Rahim, Rahman, and Alim had the most uses. Moreover, the rates of using divine glory traits in Medinan and Meccan Suras (16.1% and 17.6%) and the rates of using beauty traits in Medinan and Meccan Suras (83.9% and 82.4%) significantly did not differ.

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Linguistics and Language,Language and Linguistics,Information Systems

Reference44 articles.

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