You can increase the complexity of a crosstab by adding more row or column groups, or by using another summary function, such as sum, average, or percent. The simplest crosstab is a frequency matrix, such as the following example, which shows the count of pets (measure) by gender (column) and species (row). The cells in a crosstab show summary data for the corresponding row and column, based on a measure and a summary function. A crosstab must include at least one row and one column group. This means the exact number of rows and columns remains undefined at design time and the crosstab automatically updates to reflect your dataset. Instead you specify fields in your dataset, called row or column groups, and your crosstab displays a row or column for each unique value of the field. You do not specify the individual row and column values for a crosstab at design time. In contrast to a table or tabular report showing individual records, a crosstab shows aggregate data for two or more variables in a tabular matrix. Updating Your Workspace to Jaspersoft Studio 6.2 and Higher.adding to Jaspersoft Studio from the server.Publishing a Report to JasperReports Server.Working with a Native Cassandra Connection.Inserting, Selecting, and Positioning Elements.Using Groovy as a Language for Expressions.Exporting Reports with Jaspersoft Studio.Working with the JRDataSource Interface.
report templates for JasperReports Server.
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