# data[].attributes.body
Monitors between sub-group variability.

Monitors variability in the process over time.

# data[].attributes.body
Measures within sub-group variability.

Monitors instantaneous process variability at a given time.

# data[].attributes.body
Data points outside of these control limits, it indicates that a process is out of control.

# data[].attributes.body
99.7% of the sample means are within the UCL and LCL [3 sigma control limit]

# data[].attributes.body
Observe variations that occurs in central tendency.

Shows if process is in a stable state.

# data[].attributes.body
Due to irregular or unnatural cause.

Result in "out-of-control" process that is unpredictable.

# data[].attributes.body
Permanent in the process design.

Due to regular, natural or ordinary cause.

Result in "in-control" process that is predictable.

# data[].attributes.body
Process contains many sources of variability.

No 2 products or characteristics are ever the same.

# data[].attributes.body
Control a process or production method.

Monitor process behavior, discovers issues in internal systems and finds solutions for production issues.