Silverlight Analytics Controls - Xbar

The Xbar chart is designed to plot time series data that consists of multiple observations (called samples in the control) per subgroup. The control allows for data to be plotted via index, code, datetime, or name. Three of the features of the Xbar control are discussed below. Other features are listed in the documentation and API:

Split Limits and Run Rules

The control allows for the limits to be split. An example of this can be seen in the chart below when you click on the Split Limits button. Split limits are used when a process changes at a particular observation/sample. The limits can be split at an index, code, or datetime. The control also supports run rules. There are nine rules built into the controls (including the Western Electric rules) and users can build custom rules as well. The first run rule (check to see if a subgroup is above the UCL, the upper control limit, or below the LCL, the lower control limit) can be seen in the example below when you click on the Enable Rule #1 button.

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The Xbar control supports a number of statistics. These can be retrieved at any point programmatically, or they can be shown in the statistics box. If you require a statistic that is not in the control, you may contact our Support department, and we can work with you in adding the statistic. An example of a control with the statistics box and individual observations/samples is shown below (click on Series 1 to show the statistics):

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The statistics that are currently supported by the Xbar control are:

  • Above USL
  • CL
  • Count
  • Below LSL
  • Count
  • Cp
  • Cpk
  • Cpl
  • Cpm
  • Cpu
  • Cr
  • DNS
  • EstStdDev
  • Grand Average
  • LCL
  • LSL
  • Maximum
  • Mean
  • Median
  • Minimum
  • NSL
  • PCI
  • Percent non-Conforming High
  • Percent non-Conforming Low
  • Percent non-Conforming Ppm
  • Percent non-Conforming Total
  • Pp
  • Ppk
  • Ppl
  • Ppm
  • Ppu
  • Pr
  • Range
  • Specification Tolerance In Measurement Units
  • Specification Tolerance In Sigma Units
  • Standard Deviation
  • UCL
  • USL
  • Variance
  • Zl
  • Zmin
  • Zu