Research on 3D Visualization Analysis of Structured Data Files Considering Multidimensional Correlation
Ignoring floating-point bit differences between data formats can lead to errors in 3D visualization.Therefore,a three-dimensional visualization of structured data files considering multi-dimensional correlation is proposed.By using the mapping principle,the source data is reconstructed,the gain matrix is introduced to eliminate the difference of floating point bits between data formats,and the format of data file header is converted.The multi-dimensional relational degree of data is obtained,the three-dimensional spatial data volume is constructed,the data is processed by grid,and the data is output by SynGlyphX and Tableau data visualization database.Experiments show that the proposed method can draw more than 50FPS per second under different data volume conditions,and the 3D visualization results are more accurate and the effect is better.Therefore,the proposed method can capture and express the complex relationship between data more accurately while considering the multi-dimensional correlation between data.
Multidimensional correlationStructured data files3D visualization analysis3D data interaction
国家科技期刊平台
NSTL
万方数据
