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

EasyChair Preprint 7768

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

@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 7768},
  year      = {EasyChair, 2022}}