Example how to create a statistical boxplot object in the Dashboard for the graphical representation of a KPI
Lutz Gülker May 19, 2014 5:51 AMIn the design of a useful dashboard one is often faced with the problem represent as much information while at the same time keep the number of objects slim in the surface.
Based on the boxplot object (see Figure 1) can be derived in the dashboard at a glance information about:
 Minimum value (gray line on the left)
 Maximum value (gray line on the right)
 Median (0.5 quantile, fat red bar in the middle)
 0.25 and 0.75 quantile (as viewing limits relevant for the median calculation, adjusted by statistical outliers, thin orange dashed lines to the left and right)
Figure 1
In addition to the multilayered graphical summarization of information other information in the box plot can be embedded object. By clicking the button (the question mark icon, top right) in the object are useful statistical functions are displayed (see Figure 2):
 Arithmetic mean
 Statistical outlier range
Figure 2
The expansion of the list of useful statistical information are no limits in QlikView and can be extended. The arithmetic mean does not consider the bias by statistical outliers. Due to the advantage of the informational value of the median value object is made in the forefront of consideration in the box plot. In the runnable sampleQVD in the appendix of the test data set for the Value field is loaded with the data row: (1,2,10,12,12,16,17,23,30,100).
There is no coding necessary in the script to match the box plot object to the own project developments. The field name Value would then be appropriately renamed This selects the field you. The settings are made in the propertytabs:
 General (in the text box : window title)
 Formulas (1. in the text box: definition; 2. somewhat hidden in the formula bar base, see Figure 2)
 Presentation (in the list: position lines, total for all of the five contained entries)
 Axes (in the text boxes: scale minimum and maximum, top right)
 Title bar (text box: comment, bottom right)
Figure 3
Conveniently, there are no macros or other adjustments or installations are necessary. The object is a simple chart (Chart type: bar chart, in the orientation horizontal).
This example can also be adapted for aggregate functions.
About Feedback rejoices the Alpha Omega Projects Team.
I hope the box plot object will help you further in managing the balancing act in the design of clear  informative dashboards.
Your Lutz Gülker

BoxPlot.qvw 151.5 K