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QM: Histogram for Displaying Inspection Results ( RELNQM_30_IM_RR_CR_HIST )

QM: Histogram for Displaying Inspection Results ( RELNQM_30_IM_RR_CR_HIST )

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QM: Histogram for Displaying Inspection Results

Description

As of Release 3.0, you can call up histograms to display the inspection results while using the functions for recording and displaying characteristic results.

A histogram is a graphic representation of a frequency distribution presented in the form of a bar chart. It provides a simplified display of a data record. In a histogram, you can see the typical and extreme values of a sample and you can evaluate the location, dispersion and form of the distribution.

To generate a histogram, the system divides the value range of the distribution into classes. Each class is represented by a rectangle whose area is proportional to the absolute frequency of the class.

To be able to call up histograms in the functions for recording and displaying characteristic results, you must make sure the following conditions have been met:

  • the confirmation of measured values is supported
  • single results or classed results have been recorded for the sample

The following data is contained in the histogram:

  • all results for the sample with valid attributes
  • lower and upper limits
  • target value

The class boundaries for the histogram are selected in such a manner that all classes have the same width. Each class contains values that are greater than or equal to its lower limit and less than its upper limit (with the exception of the uppermost class, which contains both upper and lower boundary values).

With respect to the class boundary, a distinction is made between two cases:

  • If the inspection results are recorded in a classed form, the predefined classes are used in the histogram.
The class widths of the lowermost and uppermost classes are replaced by the standard width used for the other classes. This display error is taken into consideration, because histograms with unequal class widths are often misinterpreted. Classes at the upper and lower edges of the class boundaries that are not used, are suppressed in the graphic.
  • If the characteristic does not have a class width yet, a suitable class width is generated on the basis of the existing values.
The system initially calculates a preliminary class width using the following formula:
I = (x-max - x-min) / (2n)**1/3
In this formula, I = the class width, n = the number of valid values, x-max = the largest valid value and x-min = the smallest valid value.
The class width is then rounded off and the lower boundary of the classification is adapted to a multiple of the new class width. As a result, the number of classes may change. The number of classes are expanded in such a manner that the lower limiting value, upper limiting value and target value for the characteristic are included in the graphic.

In addition to the standard functions such as print and transmit, the following functions are also available in the histogram:

  • percent display
The bar chart scaling is in percentage values based on the sample size.
  • absolute display
The absolute frequency for the classes in the histogram is used as the scaling factor.
  • relative display
The inside area of the histogram is 1.
  • Graphic in the background
The ready-for-input option switches to the last recording or display screen, without the graphic being closed.
When you call up the histogram again, it is updated and the ready-for- input option switches back to the graphic.

Damage caused to data by errors

Software/hardware requirements

Installation information

Effects on System Administration

Effects on Customizing

Effect on batch input

Changes to the Interface

Changes in procedure

Procedure for removing dataset errors

Dependent functions

Planning

Further notes






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This documentation is copyright by SAP AG.

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