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Statistical Analysis of the God’s Traits in Qur’an Using Data Visualization Technique

EasyChair Preprint no. 7768

26 pagesDate: April 12, 2022

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.

Keyphrases: Beauty, data analysis, data visualization, Divine Glory, God, Quran, statistics, text analysis, text mining, Trait

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:7768,
  author = {Fan Yi and Mohammad Reza Mahmoudi and Shahab S. Band},
  title = {Statistical Analysis of the God’s Traits in Qur’an Using Data Visualization Technique},
  howpublished = {EasyChair Preprint no. 7768},

  year = {EasyChair, 2022}}
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