Study Of Ceramic Raw Materials Based On Multivariate Statistical Graph Analysis

With the development of rapid economy and the process of people's living standard, domestic and international markets have more demand for ceramic products, particularly for the middle and high grade. Now the Raw materials and the energy resources are in a growing scarcity. From the current international and domestic environment, China's ceramic industry faces a great challenge, and also a better development opportunity.China was a famous country for ceramics and created a glorious history of ceramic culture. Today, China's ceramic industry has been risen again, and the production has ranked first in the world for 10 years, of which accounted for 65% of the total world exports. In recent years, ceramic industries were facing a difficulty. Because the production cost of ceramic industry increased by 7%-10% due to the prices of raw materials and fuel increased for the scarcity of resources, while product prices well below this range. So to find a better way to solve the problem of scarcity of raw materials is very urgent. We can classify the ceramic material data we have collected, and replace the scarcity materials using the same principle which is rich. Then we can save freight and make good use of the raw materials, thus to save costs and benefit greater. In this paper, we selected the data of kaolin to study, which is an important component of the ceramic raw materials. It can bring some help to the study of other components.In order to classify the ceramic materials systematically and accurately, the paper deals with the collected data with the method cluster analysis, graph classification, and mathematical statistics software SPSS, MATLAB, and R. Then we can find similar relations and analyze the results. At last, summarize a conclusion and we can put it into the ceramic industry to improve the economic efficiency of enterprises.