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中国高考录取分数线数据

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CnOpenData2024-05-23 收录
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https://www.cnopendata.com/data/m/edu&academics/gaokao.html
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资源简介:
高考录取分数线,是指普通高等学校招生全国统一考试录取分数线。该分数线,每年高考结束后,由省级教育招生主管部门统计后公布。高考录取分数线分为本科线和专科线。全国各个地方的录取线分科类、分批次确定,科类一般分为文科类、理科类、音乐类(文、理)、美术类(文、理)、体育类等,每一科类又各分为提前批、第一批、第二批等等。  CnOpenData推出中国高考录取分数线数据,从批次、学校、专业等三方面汇总高考录取情况,涵盖生源地、学校所在地、年份、分类、批次、分科、分数线、学校、专业、录取人数、最高/低分等字段,为相关研究提供优质的数据资源。

The college admission cutoff score refers to the minimum score required for admission to regular institutions of higher education via the National College Entrance Examination (NCEE, commonly known as Gaokao). This score is compiled and released annually by provincial education and enrollment administrative authorities right after the conclusion of the NCEE. College admission cutoff scores are divided into two main categories: undergraduate program cutoff scores and vocational college program cutoff scores. Admission cutoff scores across different regions in China are determined based on academic categories and admission batches. Academic categories generally include liberal arts, natural sciences, music (for both liberal arts and natural sciences candidates), fine arts (for both liberal arts and natural sciences candidates), physical education, and others. Each category is further subdivided into multiple batches, such as the early admission batch, the first batch, the second batch, and so on. CnOpenData has launched the China College Admission Cutoff Score Dataset, which summarizes college admission status from three dimensions: admission batches, universities, and majors. The dataset covers fields including candidate source region, university location, year, academic category, admission batch, subject classification, cutoff score, university name, major name, enrollment number, highest and lowest admission scores, and other relevant metrics, providing high-quality data resources for relevant academic research.
提供机构:
CnOpenData
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集汇总了中国高考录取分数线信息,从批次、学校和专业三个维度提供详细数据,涵盖2014年至2025年的时间范围。数据包括生源地、学校所在地、年份、分类、批次、文理分科、分数线、录取人数、最高/低分等关键字段,适用于教育研究和政策分析。数据集以结构化表格形式呈现,每年更新一次,确保了数据的时效性和实用性。
以上内容由遇见数据集搜集并总结生成
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