Skip to main content Skip to complementary content

Working with cross tables

A cross table is a common type of table featuring a matrix of values between two orthogonal lists of header data. It could look like the table below.

Example 1:  

Example cross table 1
Year Jan Feb Mar Apr May Jun
2008 45 65 78 12 78 22
2009 11 23 22 22 45 85
2010 65 56 22 79 12 56
2011 45 24 32 78 55 15
2012 45 56 35 78 68 82

If this table is simply loaded into QlikView, the result will be one field for Year and one field for each of the months. This is generally not what you would like to have. You would probably prefer to have three fields generated: one for each header category (Year and Month) and one for the data values inside the matrix.

This can be achieved by adding the crosstable prefix to the LOAD or SELECT statement, for example:

crosstable (Month, Sales) LOAD * from ex1.xlsx;

This creates the following result in QlikView:

The resulting cross table.

The cross table is often preceded by a number of qualifying columns, which should be read in a straightforward way. In this case there is one qualifying column, Year:

Example 2:  

Example cross table 2
Salesman Year Jan Feb Mar Apr May Jun
A 2008 45 65 78 12 78 22
A 2009 11 23 22 22 45 85
A 2010 65 56 22 79 12 56
A 2011 45 24 32 78 55 15
A 2012 45 56 35 78 68 82
B 2008 57 77 90 24 90 34
B 2009 23 35 34 34 57 97
B 2010 77 68 34 91 24 68
B 2011 57 36 44 90 67 27
B 2012 57 68 47 90 80 94

In this case there are two qualifying columns to the left, followed by the matrix columns. The number of qualifying columns can be stated as a third parameter to the crosstable prefix as follows:

crosstable (Month, Sales, 2) LOAD * from ex2.xlsx;

This creates the following result in QlikView:

The resulting cross table.

Learn more

 

Did this page help you?

If you find any issues with this page or its content – a typo, a missing step, or a technical error – let us know how we can improve!

Join the Analytics Modernization Program

Remove banner from view

Modernize without compromising your valuable QlikView apps with the Analytics Modernization Program. Click here for more information or reach out: ampquestions@qlik.com