Research on Analysis and Prediction of Big Data of Chinese Medicinal Materials in R+Hadoop

This article analyzes the basic content and construction steps of R+Hadoop. The author combines the big data requirements of R+Hadoop Chinese medicinal materials to study big data preprocessing, data visualization processing, data modeling analysis, model evaluation and selection, model predictive analysis, system realization analysis, system test analysis, etc. The purpose of this article is to improve the reliability of big data analysis and prediction results and provide an important guarantee for the economic development of the industry.