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Student Grade Dataset (2018–2023)

This dataset presents the academic records of secondary and high school students in Halabja, collected over five years from the academic years 2018–2019 to 2022–2023. It provides valuable insights into long-term student performance and educational outcomes. The dataset includes 16,824

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CreatorMohammed, Bashdar Abdalrahman
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Published2025-07-31
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DOI10.5281/zenodo.16623461
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Downloads2,129
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Licensecc-by-4.0
File Size1.3 MB
Data TypeDataset
Published2025
Licensecc-by-4.0
Total Views2,915
Total Downloads2,129

This dataset presents the academic records of secondary and high school students in Halabja, collected over five years from the academic years 2018–2019 to 2022–2023. It provides valuable insights into long-term student performance and educational outcomes. The dataset includes 16,824 entries and 20 attributes. 16 columns represent students’ grades across various subjects, while 4 columns capture essential metadata, such as Serial Number, School Name, Class, and Academic Year. The data is provided in its original CSV format, allowing researchers to preprocess and structure it according to their specific analytical needs. Notably, the Serial Number can be used to track a student’s performance across multiple academic years, provided the student continued their education without interruption. This dataset serves as a vital resource for educational research, enabling grade prediction, performance analysis, identification of learning gaps, and the development of data-driven strategies to improve student outcomes.

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Student Grade Dataset (2018–2023) (Full Dataset)1.3 MB
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ReadmeVia DOI record
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Files are hosted on the source repository. Click download to access the full dataset.

Mohammed, Bashdar Abdalrahman (2025). Student Grade Dataset (2018–2023). https://doi.org/10.5281/zenodo.16623461