Data Analysis Of Online Education Stock Based On Functional Data

Along with our country economy and the continuous development of world economy,the financial industry rapid development,gradually expand the domestic financial market,the stock market as part of the financial market,the price of the stock in trade of time changing the data,produce a lot of,high frequency,people can easily access to transaction data,the data always reflect and influence the development of national economy,is an indicator of a regional or national economic trends.For these as the complicated data processing and research of many scholars is an important direction of academic research,and the traditional data analysis method in dealing with these complicated data have certain limitations,the scholars through in-depth research,explore a new method of data analysis,will be a lot of complex data as a whole function,namely,functional data analysis.Research of this paper is based on a kind of common analysis methods of functional data analysis,that is,a principal component analysis function of online education stock data is analyzed,the discrete data collected from the perspective of function,the functional data as a whole,using principal component analysis method to study again,mainly introduces the basic ideas,principle of principal component analysis and solving method of the principal component,and will be based on B-spline basis function expansion of functional data principal component analysis method was applied to online education stock data analysis,using R software programming for the accumulation of several principal components accounted for more than 85%,combined with the actual situation,Get the content reflected by the principal component,so that investors can better understand the changing rule and trend of stock data,and make accurate trading strategies.