With over 220 examples out-of-the-box you will find it easy to see how to design certain chart types. In this guide you will get an overview of the three main design components:
Data Modeling and calculated columns are covered in other guides.
QQube creates the basic data modeling for each analtyics, including all of the necessary table relationships and additional calculated fields, so that all you need to do is drag and drop what you need onto a blank canvas.
This example is sales_(qqube7.x) in the QQube Configuration Tool. The specific metric highlighted is Average Sales Transaction.
QQube Measures have the Σ character, and additional calculated fields have the calculator symbol. If you highlight the calculated field in the field list, the formula bar (3) shows the DAX formula for that field.
To create a new metric, just drag and drop any field onto a blank canvas. In this simple example we are dragging Line Sales Amount, then Item Name.
You can change the type of visualization just by highlighting the chart on the canvas, and then clicking on any one of the visualizations to see the immediate change.
The programmers at Microsoft add new features every month, and you now have the ability to format elements at a very granular level, from custom headers to fonts for text and values, to colorizing different aspects of your metric.
To see all options, just highlight the analytic, and then choose the paint roller icon as shown here:
There are three types of filters available:
In addition there are multiple filter types:
Basic filtering allows you to choose from the actual list of values in QQube
Advanced filtering gives you value and text value options e.g. "contains", "is blank", etc. and includes advanced operators e.g. AND, OR
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