An economic statistics data visualization method, device, equipment and medium

By performing missing value supplementation, outlier removal, time-series alignment, and standardization on economic statistics, extracting local correlation features, performing eigenvalue decomposition and principal component projection, and generating a dynamic and interactive visualization interface, this approach solves the problems of insufficient dynamic time-varying characteristics and multivariate correlation feature mapping in traditional economic statistics visualization methods, and achieves in-depth insight into the economic system and decision support.

CN122364523APending Publication Date: 2026-07-10MUDANJIANG NORMAL UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
MUDANJIANG NORMAL UNIV
Filing Date
2026-04-08
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Traditional methods of visualizing economic statistics are ineffective in revealing the dynamic and time-varying characteristics of the interdependencies between economic indicators, and fail to organically and synergistically map deep multivariate correlation features with visual coding, making it difficult for policymakers to form a coherent and in-depth understanding of the overall state of the economic system and its evolution.

Method used

By acquiring economic statistics and performing missing value supplementation, outlier removal, time-series alignment, and standardization, local correlation features are extracted, eigenvalue decomposition and principal component projection are performed, and combined with visual parameter mapping and spatial layout optimization, a dynamic interactive visualization interface is generated. This enables accurate capture of the dynamic evolution of the dependencies between economic indicators and structural dimensionality reduction of high-dimensional data.

Benefits of technology

It enables precise characterization of the dynamic dependencies between economic indicators, improves the efficiency and depth of obtaining decision-making information from complex economic data, and helps decision-makers form a coherent and in-depth understanding of the overall state and evolution of economic data.

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Abstract

This application relates to a method, apparatus, device, and medium for visualizing economic statistics. The method includes: preprocessing economic statistics to obtain standardized time-series data; calculating a time-varying covariance matrix using an exponentially weighted sliding window on the standardized time-series data, extracting local correlation features, and constructing a correlation feature matrix; performing eigenvalue decomposition and principal component projection on the matrix to obtain dimensionality-reduced data containing the main feature directions and contributions; then, through visual parameter mapping and spatial layout optimization, co-mapping the statistical features of the data into position, color, size, and topological connectivity in visual space to generate visualization mapping parameters; and generating executable data visualization instructions based on these parameters to render an interactive visualization interface. This method can solve the problems of traditional methods failing to reveal the dynamic evolution of dependencies between economic indicators and the disconnect between the analysis process and visualization presentation.
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