R语言在直观教学中的应用与可视化分析
Application and Visualization Analysis of R Language in Intuitive Teaching and Learning

随着数据科学的发展，R语言在高等教育中的直观教学应用日益增加。本文通过Python爬虫从知网获取了79篇关于R语言直观教学的文献，筛选后保留了76篇用于数据分析，进行了数据预处理，包括删除与主题无关的文献、提取关键词并按学科分类。接着，利用Excel透视表饼图和R语言词云图进行可视化分析，研究R语言在各学科的应用及关键词热点。最后，运用LDA模型分析文献摘要，识别R语言直观教学领域的四个研究热点。结果表明，R语言不仅提升了教学质量，还推动了教学方法的创新，对未来学术研究与教学实践具有深远的影响。
With the development of data science, the application of R language for intuitive teaching in higher education is increasing. In this paper, 79 pieces of literature on intuitive teaching and learning of R language were obtained from CNKI through Python crawler, and 76 were retained for data analysis after screening. Data preprocessing was carried out, including deleting literature unrelated to the topic, extracting keywords and categorizing them by discipline. Then, Excel pivot table pie charts and R language word cloud maps were used for visual analysis to study the application of R language in various disciplines and keyword hotspots. Finally, the LDA model was used to analyze the literature abstracts and identify four research hotspots in the field of R language intuitive teaching and learning. The results show that R language not only improves the quality of teaching, but also promotes the innovation of teaching methods, which has a far-reaching impact on future academic research and teaching practice.