Research on information equipment industry data analysis modelling establish

Information equipment industry is knowledgeintensive and technology-intensive industry. The ability of independent innovation is the key driver for industry development. This paper studied modeling of the information equipment industry development. The academic attributes and the technical attributes be introduced into the model, through defining the theoretical density, the technology density and the new product density. It is proposed that establishing information equipment industry model with the innovation index, equity index and productivity index, as well as these expressions. Additionally, the paper put forward new way to calculate the weight of indicators which related to specific research problems' context-relevant. Analyzed the batch data of information equipment industry from 2010 to 2014 based on the established model, and through a Python program to achieve the sorting and global optimization of decision-making, shows part of the data analysis results as visualize graphs.