Multidimensional data analysis method and system based on interactive visualization
A multi-dimensional data and analysis method technology, applied in structured data retrieval, electronic digital data processing, geographic information database, etc., can solve problems such as the inability to effectively display multi-dimensional attribute feature distribution mode correlation, and achieve dynamic and effective interaction of multi-dimensional attributes Linkage and analysis, realize the effect of interactive linkage and analysis of multi-dimensional attributes
Active Publication Date: 2018-04-10
深圳市位和科技有限责任公司
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[0005] The present invention provides a method and system for analyzing multi-dimensional data based on interactive visualization. Its main purpose is to solve the problem that the existing multi-dimensional data exploration and analysis cannot realize dynamic and effective interactive linkage and analysis of multi-dimensional attributes, and cannot effectively display the characteristics of multi-dimensional attributes. The technical issues of the spatial distribution pattern and the association relationship between each attribute dimension
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[0074] Further, as an implementation mode, the method also includes the steps of:
[0075] When receiving the request for clustering color display, the two-dimensional color matrix of the data to be analyzed is displayed based on the cluster analysis result and the color assigned to each cluster.
[0076] Specifically, refer to Figure 7 As shown, it is a schematic diagram of the displayed two-dimensional color matrix. The two-dimensional color matrix is another clustering of the clustering results, and the results of the clustering are displayed on the two-dimensional matrix to show the relationship between the clusters. difference. Each circular color block in the illustration represents a cluster, that is, each cluster is displayed as a circle, and the size of the circle represents the number of each cluster. The difference between clusters and clusters is expressed by the color of the clusters and the distance between the circles representing each cluster. The greater...
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The invention discloses a multi-dimensional data analysis method based on interactive visualization. The method includes: obtaining data to be analyzed, determining the attribute dimension of the data to be analyzed and displayed, and performing cluster analysis on the data to be analyzed according to the determined attribute dimension; The result of cluster analysis assigns different colors to each cluster; according to the determined attribute dimension and the color assigned to each cluster, the integrated map and parallel coordinate diagram of the data to be analyzed are displayed; the first trigger based on the parallel coordinate diagram is received. Interact and update the displayed parallel coordinates plot and integrated map. The invention also proposes a multi-dimensional data analysis system based on interactive visualization. The present invention solves the problem that the existing multi-dimensional data exploration and analysis cannot realize dynamic and effective interactive linkage and analysis of multi-dimensional attribute features, and cannot effectively express the spatial distribution mode of multi-dimensional attribute features and the relationship between each attribute dimension. question.
Description
technical field [0001] The present invention relates to the technical field of data exploration and analysis, in particular to a multi-dimensional data analysis method and system based on interactive visualization. Background technique [0002] Data analysis is a process of exploration. Analysts process and analyze data through maps, graphics, data statistics, and computer algorithms, and then conduct dynamic interactions, find patterns, verify assumptions, and discover unknown information. [0003] At present, the traditional GIS (Geographic Information System / Geo-Information system, Geographic Information System) analysis method is generally used in the field of multi-dimensional data exploration and analysis, and this analysis method has certain limitations. [0004] For example, the usual practice of traditional GIS methods is to generate thematic maps for univariate classification, and then weighted and superimposed several thematic maps to achieve multivariate classifi...
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IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/29G06F18/23
Inventor 李伯楠郭殿升
Owner 深圳市位和科技有限责任公司
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