data.csv

This project analyzes a dataset of 1,738 research articles from data.csv, focusing on publication trends across various disciplines and countries. Using C programming, the project reads and processes the dataset, performing tasks such as identifying the country with the most publications, the leading discipline, and the number of articles sharing data and code. It also examines quarterly publication trends. The program includes robust error handling to ensure data integrity.本项目依托data.csv文件中的1738篇研究论文数据集开展分析，聚焦不同学科与国家的学术发文趋势。本项目采用C语言读取并处理该数据集，完成多项核心分析任务：识别发文量最高的国家、主流研究学科，以及共享数据与代码的论文数量；同时还对季度发文趋势进行了系统性考察。本程序内置完善的错误处理机制，以保障数据处理过程的完整性与可靠性。