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has been cited by the following article:

• TITLE: Spatial Statistical Analysis and Comprehensive Evaluation of High-Tech Industry Development

  AUTHORS: Luyao Wang, Binhui Wang

  KEYWORDS: Principal Component Analysis, Spatial Statistics, R Language, Comprehensive Evaluation

  JOURNAL NAME: Open Journal of Statistics, Vol.10 No.3, June 3, 2020

  ABSTRACT: After 30 years of economic development, the high-tech industry has played an important role in China’s national economy. The development of high-level technological industry plays a leading role in guiding the transformation of China’s economy from “investment-driven” to “technology-driven”. The high-tech industry represents the future industrial development direction and plays a positive role in promoting the transformation of traditional industries. The rapid development of high-tech industry is the key to social progress. In this paper, the traditional analytical model of statistics is combined with principal component analysis and spatial analysis, and R language is used to express the analytical results intuitively on the map. Finally, a comprehensive evaluation is established.