Analysis of Statistics Data Based on Mixed Visualization Techniques

Abstract:

Economic statistics data can exhibit the profiles of social economy phenomenon. With constantly increasing demand for analysis of the statistical data, the statistical departments are urging to find a more effective and easier way to present statistical data to users. This paper takes full advantages of the geospatial characteristics of statistical data and then presents a mixed visual analysis method to implement data process and display statistical data effectively. In order to enhance the visualization results by applying the rules of visual perception, the proposed system combines a variety of visualization techniques and coordinated multiple views together. Through the study of spatial-temporal and multivariate statistical data, users can adopt interactive techniques to further analyze the interested statistical data. The experimental results show that the proposed mixed visualization techniques are easy to discover the variation law of data and offer a fast and convenient visualization and analysis tool for statistical data.

• Periodical: Applied Mechanics and Materials (Volumes 220-223)
• Pages: 2479-2484
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.220-223.2479
• Online since: November 2012
• Authors: Fang Liu, Kai Tian, Yun Sun, Bo Yu Li, Hai Lin
• Keywords: Parallel Coordinate, Scatter Plot, Statistics Data, Treemap, Visual Analysis

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