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README.md

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 This dataset compiles key enrollment indicators of school graduates from 1995 to 2023, presenting a comprehensive view of their performance in entrance exams and subsequent acceptance into higher education institutions. It includes data on both male and female graduates, offering insights into gender-specific trends and performances. The dataset features a generalized rating system that compares the school graduates' performance against the republic's average level, providing a nuanced understanding of educational outcomes over nearly three decades.
 
-Structure: The dataset is structured into rows, each representing a unique combination of a school and academic year, with columns for each recorded indicator, such as attendance, average scores, and acceptance rates into different types of higher education institutions.
+Encompassing data from all schools within the Azerbaijani region, the dataset, consisting of approximately 83,000 rows, is an invaluable asset for predictive analytics, facilitating the forecast of future university acceptance rates based on historical patterns. The dataset is structured into rows, each representing a unique combination of a school and academic year, with columns for each recorded indicator, such as attendance, average scores, and acceptance rates into different types of higher education institutions.
 
+Authors: [Nijat Zeynalov](https://www.linkedin.com/in/nijat-zeynalov-064163142), [Natig Mamishov](https://www.linkedin.com/in/natig-mamishov/?originalSubdomain=az)
 ##  Column Descriptions
 school_name: The official name of the school.