Visual statistical analysis method based on metadata

A statistical analysis and metadata technology, applied in the field of communication and information, can solve the problems of not being easy to use and others not knowing the whole picture, and achieve the effect of convenient operation, easy promotion and wide application range

Inactive Publication Date: 2016-12-21
INSPUR QILU SOFTWARE IND
View PDF5 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 th

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention will be further described below in conjunction with specific examples.

[0033] A visual statistical analysis method based on metadata of the present invention realizes data more effectively through statistical analysis of metadata, combination of manual labeling and machine labeling, dimension combination, multi-indicator superposition, dimension drill-down, and chart mixing. Visual analysis provides support for better understanding, utilization and value mining of data.

[0034] The metadata of a dataset is the data describing the structure of the dataset, which generally includes information such as the name, type, and description of the data dimension in the dataset. The program performs multi-directional statistical analysis on data sets in one console interface, including conditional filtering, dimension grouping statistics, and multidimensional chart analysis and statistics.

[0035] Conditional filtering, that is, setting query filtering c...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/30G06Q50/26
CPCG06F16/248G06F16/2462G06Q50/26
Inventor 刘玲玲张兆勇郝文祥刘伟涛
Owner INSPUR QILU SOFTWARE IND
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap