Associated data visualization display method
A technology of associated data and associated information, applied in relational databases, database models, visual data mining, etc., can solve problems that affect user analysis and judgment efficiency, and associated data cannot be displayed intuitively, so as to improve analysis and tracking efficiency, Save manpower and time costs, and the effect of clear associated paths
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Embodiment 1
[0041] In the original data, after field extraction (the set fields include: the first field, the second field, the third field, the fourth field, the fifth field and the sixth field), 3 data records are extracted. The content corresponding to the first field is used as the target information, and the content corresponding to the second field, the third field, the fourth field, the fifth field and the sixth field is used as the one-degree associated information of the target information. The information contents corresponding to the first field, the second field, the third field and the fourth field included in the first data record are: first information A, second information B, third information C, fourth information D, The content corresponding to the first field (the first information A) is used as the target information, and the first information A and the second information B have a two-way pointing relationship, that is, AB, and the third information C points to the firs...
Embodiment 2
[0047] On the basis of Embodiment 1, in order to further distinguish the nodes at all levels, the 0-level nodes, 1-level nodes and 2-level nodes are represented by square patterns, circular patterns and rhombus patterns respectively. A two-level association graph of information A as the target information is as follows: Figure 7 As shown, the two-level association map with the second information B as the target information is as follows Figure 8 As shown, the 2-level association map with the fifth information E as the target information is as follows Figure 9 As shown in , it can be seen that through different patterns, the distinction of nodes at all levels is obvious, and the path logic is clearer. Furthermore, different colors can be used to distinguish different node types. For example, the types corresponding to the data information in the associated data include the first type, the second type and the third type, and the first type can be used in the associated graph...
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