1. b/S data source configuration
Start the Web server (the FR project is 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 the FR built-in server port number 8075, and the following are examples of Tomcat), Login data decision system with Administrator account Op=fs, after successful landing, click Management System >b/s Global configuration > Data configuration, add dataset analysis data source such as "number of employees", select Server data set Employee Information table
Note: The data source provides both semantic conversion and automatic correlation between tables. The data source configuration of B/s data source can be either a data connection defined in the designer or a server dataset, and a server dataset can be defined to refer to the document server DataSet.
2. Add Data Analysis Table
New b/S analysis directory
Add a sub-node in Management System > Report Management, detailed steps please view the Add Report Table of Contents
Add data analysis in B/s analysis directory
There is already a new B/s Analysis directory node, the following need to add a new data analysis under the node, detailed steps to see Add data analysis, the following figure, successfully added data analysis: Employee Information table:
Add a data source
Point Open Report decision Platform (OP=FS) >B/S analysis > Employee Information table, add new data analysis,
The effect is as follows
Main design
After you add a data source, as shown in the previous illustration, a table of that data source will automatically appear at the far right of the page, where you can then design the new analysis on the main page.
Here, the data source and new data analysis have been completed, followed by the specific operation of data analysis, such as the document example.
By sector, gender dimension analysis
The distribution of male and female employees in various departments, through the theory of enterprise management, enterprise technology, engineering, information and other technical departments of the male staff ratio to slightly larger, customer service, human services, such as the proportion of female staff slightly larger, this is conducive to the development of enterprises. Then through the following analysis, can get the enterprise status quo, found that the technical department, the engineering department female staff ratio is higher than the male staff, in the next period of time, the Personnel department in the recruitment, the personnel considers the male more, the female staff may suitably reduce, the following figure analysis situation