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Student source differences study and computer cartography representation of normal universities in recent 15 years — Take Sichuan Normal University as an example

机译:近15年来高师生源差异研究与计算机制图表征—以四川师范大学为例

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Currently, researchers pay less attention for analyzing the massive college students' data, but it's very important to utilize the information. In the paper, we take Sichuan Normal University as an example, and analyze the spatial distribution characteristics of college students' source and regional economic relevance based on the basic idea of big data, in accordance with two modes of the data mining data characterization and correlation analysis. The results show that the ratio of boys to girls is much lower than before, and it is on a downward trend. Students were mainly from developed areas. In developed areas, there is a significant negative correlation between the number of students and the level of local social and economic development; in the middle-level developed areas, the correlation is not strong; in the less-developed areas, there is a significant positive correlation.
机译:当前,研究人员对分析大量大学生的数据的关注较少,但是利用这些信息非常重要。本文以四川师范大学为例,根据大数据的基本思想,根据数据挖掘的数据表征和关联两种模式,分析了大学生来源与区域经济相关性的空间分布特征。分析。结果表明,男孩与女孩的比例远低于以前,并且呈下降趋势。学生主要来自发达地区。在发达地区,学生人数与当地社会和经济发展水平之间存在显着的负相关;在中等发达地区,相关性不强;在欠发达地区,存在显着的正相关。

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