Statistics Graphic Method And Its Application

The concept of big data is recognized as 4V-- characteristics of data change in speed(Velocity), a large amount of data(Volume), low value density(Value), various data types(Variety), which means that the source of rapid processing, low cost and huge amount of data, diversification. Big data brings opportunities and challenges to the people, but the data gives the intuitive feel always cold and dreary, daunting, puzzle. In order to make the data more lively and interesting, let users click into place we need, stick out a mile, with some special way to display data, analysis and application of data to explain, but also makes the effective spreading, which is the data visualization technology.The use of graphical data visualization, the main purpose is to complex data more intuitive explanation. The main steps are as follows: graphical information acquisition, analysis,filtering, mining, display, summary. This process requires researchers to master a variety of professional skills. From the beginning of data acquisition, we first need to solve the problem of data read. Data mining and display, require researchers mining characteristics,data model. That is, statistical description of a large class of expression data inner meaning. As an important form of data information exists, and role in people’s life in the greater, and the development of the computer technology makes people more and more dependent on a variety of computer data. Application of a computer in almost all walks of life(scientific research, engineering, management, medicine, electronic commerce, finance, etc.) on the other hand, the amount of data processing by computer is also growing exponentially, not only the data acquisition ability and means increasingly diversified, storage equipment technology is developing rapidly, creating conditions for the people to realize the full the application of massive data in the big data era. In the face of a large and complex data information, how to extract valuable and easy to observe the information is the most pressing problem. To solve the problem clearly appeal, only using statistical data analysis method is easy to cause the data is not easy to understand, therefore, the statistical data analysis and data visualization method are combined, and strive to achieve the read ability of data analysis, legibility. Based on statistical analysis method and graphical techniques from the statistical data of statistical data, research on graphical representation approach, based on the application of statistical data analysis and graphic technology in the specific economic data in the. The research content of this paper is divided into two parts:① the common data visualization method and its application, this part mainly compiled statistics commonly used graphic method, such as bar chart, histogram, scatter chart, pie chart, line graph, map area of accumulation. Introduce the graphic approach, function and application. On the basis of graph coloring, size, shape and scale of graphic and attribute annotations of all aspects of comprehensive application in computer.② the graphical method and application of multidimensional data, collect multidimensional stock data, based on the correlation matrix diagram, contour map, chart, diagram and Facebook pedigree chart of the graphic display, graphic display and the results are analyzed.