Visual statistical analysis method based on metadata

Abstract

The invention discloses a visual statistical analysis method based on metadata. The visual statistical analysis method comprises the following specific implementation process: firstly, setting up a data management platform and a data open portal, wherein the data management platform is the existing data management platform or the comprehensive open data management platform of each department of a government; setting a screening condition, wherein set contents contain screening items, conditions and parameters; setting grouping screening: providing an artificially labelling way or a machine labelling way; and according to a screening result, making a chart, and carrying out chart analysis. Compared with the prior art, the visual statistical analysis method based on the metadata is characterized in that the structure of a dataset is displayed to a user in a better visual way, so that the user knows the general situation of data at a glance, the user can realize the multi-perspective multi-view statistical analysis of the dataset through a simple, flexible and convenient operation, and practicality is high.

Description

technical field [0001] The invention relates to the technical field of communication information, in particular to a metadata-based visualized statistical analysis method with strong practicability. Background technique [0002] Government data cover all aspects of social management and public services, and are highly authoritative. Governments at all levels in our country hold 80% of society's data and are the largest data holders. A large number of data resources urgently need to be opened, shared and utilized by the government and society. [0003] Government data has the problems of diverse industries, strong exclusivity, unknown to others, and difficult to use. Efficient and general visualization and statistical analysis of a large number of widely varied government open data sets is helpful to help the government and society faster and more intuitively. It is particularly important to know data, understand data, and use data accurately. Based on this, a scientific and...

AI Technical Summary

Problems solved by technology

[0003] Government data has the problems of diverse industries, strong exclusivity, unknown to others, and difficult to use. Efficient and general visualization and statistical analysis of a large number of widely varied government open data sets is helpful to help the government and society faster and more intuitively. It is particularly important to know data, understand data, and use data accurately. Based on this, a scientific and efficient general-purpose visual statistical analysis method based on metadata is now provided.