How to use Finereport Report for data visualization analysis?

Independent data is meaningless, and data that can be compared and analyzed is a valuable data. In the Finereport reporting tool, data entry and display operations are only the beginning, and subsequent data analysis is the highlight. So what is the configuration in Finereport for data analysis? And what about data analysis?

The use of Finereport for data visualization analysis is very simple, simple configuration, users simply drag and drop the target data and related dimensions on the B/S side, can get the results from different dimensions analysis, improve the degree of data visualization, help decision-making to make accurate decisions. At the same time, it reduces the customization degree of the system development, and greatly reduces the maintenance cost of the system developer.

b/S data source configuration

start the Web server (FR project deployed under the Web server, the port number is the corresponding Web server port number, such as Tomcat, the port number is 8080, if not deployed, the port number is FR built-in server port number 8075, the following is the case of Tomcat), Log in with the Administrator account data decision system OP=FS, that is, open the link: Http://localhost:8080/WebReport/ReportServer?op=fs after the successful landing, click on the management system >b/s Global configuration > Data configuration, Add a DataSet analysis data source such as "number of employees" and select the server DataSet Employee Information table. such as:
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Note: The data source provides both semantic conversion and automatic inter-table correlation. The data source in the B/s data source configuration can be either a data connection defined in the designer or a server dataset, and the definition of the server dataset can refer to the document server DataSet.

Add Data analysis table new b/S analysis catalog

Add a sub-node in Management System > Report Management b/S analysis, detailed steps see Add a report directory

Add data analysis in B/s analysis directory

In front of the new B/S Analysis directory node, the following need to add a new data analysis under the node, detailed steps to see the addition of data analysis, such as the successful addition of data analysis: Employee Information table:
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Add a data source

Click on the report decision platform (OP=FS) >B/S Analysis > Employee Information Sheet and add new data analysis to it as follows:
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The effect is as follows
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Main body Design

After you add a data source, as shown, a table formed by the data source automatically appears at the far right of the page, where you can design the main body of the new analysis.
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Here, the data source and the new data analysis have been completed, then the data analysis of the specific operations, see the following examples of documents.

Data Analysis Dimension example by department, gender Dimension analysis

The distribution of male and female workers in various departments, through the theory of enterprise management, enterprise technology, engineering, information and other technical departments of the male staff proportion to a little larger, customer service, Human Services and other departments of the female staff proportion slightly larger, this is conducive to the development of enterprises. Then through the following analysis, you can get the status of the enterprise, found that the Ministry of Technology, Engineering Department of female staff ratio is higher than the male staff, in the future for a period of time, personnel in the recruitment, the staff to consider more men, female staff can be appropriately reduced, such as analysis:
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Average salary by department and Education

Analysis of the qualifications and treatment of employees of various departments, enterprise technical departments and Information department staff turnover rate is highest, then the high-level needs to analyze whether the treatment is the main cause of the flow of people, with the industry in contrast to the general treatment, whether to make adjustments to the treatment of decision-making.
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Average length of service by department and age

Analyze the age of employees in various departments. Sales department work needs to travel, open up customers, visits to customers, so staff age is 25-29 years old, but the sales staff of 30-34 years old only one person, others are under 29 years of age. Generally speaking, the older is the seniority, experienced Director level, and sales director of the work is more busy, according to the company's overall strategy, planning the overall operation of the company's sales system, business direction, leadership team, so the allocation of resources is somewhat inappropriate. Then it is necessary to analyze the sales department to put the recruitment sales Director in the first place, but also need to develop from the sales manager to promote a part of the people up. There is also the engineering department for improper allocation of resources.
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How to use Finereport Report for data visualization analysis?