Table Stats Suras - warwickfoster/qurantools GitHub Wiki

This table provides statistical data on each sura, including verse and word counts, provenance (Meccan or Medinan), and additional metrics like formulaic density and root frequencies. It is essential for analyzing the structural and linguistic complexity of the Qur'anic chapters.

Analysis of the stats-suras Table

Below is the detailed analysis and description of each field in the stats-suras table, with the table name included as a left-hand column.

Table Name Field Name Description
stats-suras ID A unique identifier for each record in the table, serving as the primary key for indexing and referencing.
stats-suras SURA The chapter number (sura) in the Quran that was accessed by the user.
stats-suras USER ID The unique identifier of the user who accessed the sura, enabling user-specific analytics and tracking.
stats-suras ACCESS DATE The date when the sura was accessed by the user, providing temporal context for usage tracking and trend analysis.

Key Insights

  1. Field Relationships:

    • ID uniquely identifies each access record, ensuring data integrity for logging and analysis.
    • USER ID links access events to specific users, enabling personalized or aggregate usage tracking.

  2. Usage Tracking:

    • The combination of SURA, USER ID, and ACCESS DATE allows for precise tracking of Quranic sura access patterns over time.
    • Useful for identifying popular suras and peak access periods.

  3. Applications:

    • Enables user behavior analysis, such as identifying frequently accessed suras or recurring user patterns.
    • Supports engagement metrics for Quranic tools, highlighting chapters of interest across different users or timeframes.

Example Interpretation of Data:

  • Row 1:

    • ID: 1
    • SURA: 3
    • USER ID: 3
    • ACCESS DATE: 2021-12-07
    • Indicates that user with ID 3 accessed sura 3 (The Family of Imran) on December 7, 2021.

  • Row 6:

    • ID: 6
    • SURA: 4
    • USER ID: 3
    • ACCESS DATE: 2021-12-16
    • Indicates that the same user accessed sura 4 (The Women) on December 16, 2021.

Contextual Significance:

  1. User Engagement Insights:
    • Track individual or group engagement with specific Quranic chapters to identify user preferences or study patterns.
  2. Temporal Analysis:
    • The ACCESS DATE field provides insights into when users engage with the Quranic text, helping optimize tools for peak usage periods.
  3. Personalized Recommendations:
    • By analyzing USER ID and SURA, the table supports personalized Quranic study recommendations based on historical access patterns.

First 10 Rows Example

ID SURA USER ID ACCESS DATE
1 3 3 2021-12-07
2 3 3 2021-12-07
3 2 3 2021-12-16
4 2 3 2021-12-16
5 3 3 2021-12-16
6 4 3 2021-12-16
7 5 3 2021-12-16
8 6 3 2021-12-16
9 9 3 2021-12-16
10 10 3 2021-12-16