P Chart
===========

This node outputs SPC P Chart and performs control tests.

Type
--------- 

SPC-Chart

Class
--------- 

fire.nodes.graph.NodeSpcPChart

Fields
--------- 

.. list-table::
      :widths: 10 5 10
      :header-rows: 1

      * - Name
        - Title
        - Description
      * - title
        - Title
        - 
      * - titleColor
        - Title Color
        - 
      * - description
        - Description
        - 
      * - descriptionColor
        - Description Color
        - 
      * - attribute
        - Attribute Columns
        - Attribute column names
      * - subgroup
        - Subgroup Column
        - Subgroup column name
      * - identifier
        - Identifier Columns
        - Identifier column name
      * - test1
        - point beyond the control limits
        - 
      * - test2
        - k or more consecutive points are one side of the centerline
        - 
      * - test3
        - k or more consecutive points are increasing or decreasing
        - 
      * - test4
        - k consecutive points alternate up or down
        - 


Details
-------
The P chart, or Proportion Chart, in Statistical Process Control (SPC) is used to monitor the proportion of defective or non-conforming units in a process. It tracks the percentage of defective items in a sample over time, helping to detect any significant changes in quality. The P chart is ideal for processes where data are categorical (e.g., pass/fail, defective/non-defective) and where sample sizes may vary. By identifying trends, shifts, or out-of-control points, the P chart helps maintain process stability and ensure that the proportion of defects remains within acceptable control limits.