Academic Journal of Computing & Information Science, 2024, 7(5); doi: 10.25236/AJCIS.2024.070514.
Maolong Teng1, Zhinan Lin2, Chaoyue Liu3
1Hunan University of Science and Technology, Xiangtan, China
2Hunan Vocational Institute of Technology, Xiangtan, China
3Guizhou Provincial Transportation Planning Survey and Design Research Institute Co., Ltd., Guiyang, China
This paper proposes a complex table generation method based on a multi tree structure to address the problems of large data volume, repetitive and cumbersome processes, and inability to automatically adjust the structure according to data content in the current automatic table generation process. This method uses a tree structure to represent data tables, categorizes the nodes in the tree structure in detail, and sets corresponding properties and methods according to different generation requirements. This tree structure is defined as a multi-dimensional relationship oriented table structure tree. In the process of automatic table generation, a method for automatic data query and a method for calculating the number of rows and columns that need to be merged based on the correlation between data are designed. This method improves the efficiency and accuracy of table making, and can effectively adapt to the diversity and complexity of table structures. It can not only adapt to different scenarios and requirements of table generation tasks, but also improve the efficiency and accuracy of table generation.
Automatically generate tables, Cell merging, Related relationships
Maolong Teng, Zhinan Lin, Chaoyue Liu. Automatic Generation Method for Tables with Merged Cells. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 5: 109-115. https://doi.org/10.25236/AJCIS.2024.070514.
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