Sirah Nabawiyah Dataset – Part 1
Description
Sirah Nabawiyah Dataset – Part 1 is a structured dataset that presents key aspects of the life of Prophet Muhammad (peace be upon him). It focuses on significant events, timelines, and contextual details derived from classical Islamic historical sources. The dataset is organized systematically to facilitate analysis, learning, and research across disciplines such as Islamic studies, history, and data science. The data consists of categorized entries, including events, locations, notable figures, and chronological sequences that represent the early period of Islamic history. This structure makes it easy to search, understand, and process historical data on a computer. As the first installment, this dataset serves as a foundational resource that will be expanded in future parts to provide a more comprehensive representation of the Sirah Nabawiyah. It is well-suited for applications such as trend analysis, knowledge extraction, data visualization, and machine learning, with an emphasis on clarity, consistency, and usability for both academic and general audiences.
Files
Steps to reproduce
1. Data Acquisition Obtain the dataset file, “Sirah Nabawiyah Dataset—Part 1," in .xlsx format. Ensure the dataset is complete and not corrupted before proceeding. 2. Environment Setup Prepare a data analysis environment using tools such as Python (with libraries like Pandas, NumPy, and Matplotlib) or spreadsheet software such as Microsoft Excel. 3. Data Loading Import the dataset into the chosen environment. - In Python, load the dataset using pandas. read_excel() - In Excel, open the file directly for manual inspection 4. Data Understanding Examine the structure of the dataset, including columns such as events, locations, figures, and timelines. Identify data types and check for missing or inconsistent values. 5. Data Preprocessing Clean and prepare the data by handling missing values, correcting inconsistencies, and standardizing formats (e.g., dates, naming conventions). 6. Data Analysis Perform analysis based on research objectives, such as: - Identifying chronological patterns of events - Grouping events by location or category - Extracting key historical insights 7. Visualization (Optional) Generate visual representations such as timelines, bar charts, or network graphs to better interpret relationships within the data. 8. Model Implementation (Optional) Apply computational techniques such as text summarization, classification, or clustering if using the dataset for machine learning purposes. 9. Result Interpretation Analyze and interpret the results in the context of Sirah Nabawiyah studies, ensuring alignment with historical understanding. 10. Reproducibility Check Ensure that other researchers can consistently repeat the process by documenting all steps, tools, and parameters used.
Institutions
- Universitas Islam Negeri Maulana Malik IbrahimEast Java, Malang