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Use ReportLite External Library to Auto-insert Reports to Word Templates In many business scenarios the report is required to be embedded to the Word document. Here is a report: The report displays graduate employment information in a certain year. The data in the table and for plotting the chart in the report comes from the database. It is simple and easy to create such tables and charts using a reporting tool, but it is complicated to embed them to Word documents. Traditionally there are two methods. One is to export the finished report and chart as a Word document and

Global variable In SSC environment, sometimes information needs to be shared between computing tasks (QVM scripts) on multiple QVMs. In this case, SSC global variable (simply written as global variable in the following part) is useful. Managed by QVS, the global variable is available to every script run on each QVM applied through QVS. Qenv function is used to assign value to the global variable: Qenv(“gv1”,1) #gv1 is the variable name Qenv(“gv1”) The function is also used to obtain the global variable: Qenv(“gv1”) Unlike an ordinary SPL global variable, related data will be transmitted between QVS and QVM once the

An application on SSC has two parts: the server side, which consists of QVA and QVM, and the application side, which consists of the application itself (simply written as APP in the following part) and QVS. Both parts involve the use of SPL scripts. The SPL script on the server side is executed on QVM and thus called QVM script. On the application side, another SPL script is written to call the QVM script and it is called APP script. The basic procedure is like this: APP calls the APP script that sends a computation request to QVS; QVS then

Customer information labeling, also known as customer profiling, refers to the process of collecting data from various dimensions such as customers’ social attributes, consumption habits, and preference characteristics, and then characterizing customer or product characteristic attributes. These characteristics are analyzed and statistically analyzed to explore potential value information, thus abstracting the full picture of customer information. From the way customers are labeled, there are generally three types: ① Statistical labels; ② Rule-based labels; ③ Machine learning mining labels (predictive labels). ① Statistical labels This type of label is the most basic and common type of label. For example, for a