A quality chart suitable for when a number of blemishes are expected on each unit, such as a spool of yarn.

The c-chart a level of control graphic used to track count-sort information, which is often the maximum amount of conformities per unit. It is also frequently used to track the total number of occurrences that occur in a particular time unit

A c-chart is an aspect controlling chart that is used with information collected in equal-sized subgroups. C-charts depict how the procedure changes over time as determined by the number of non-conformities per thing as well as a group of objects. Nonconformities are errors as well as incidences that were discovered in the tested subset. They can be defined as any feature that is there but it must not be, or any feature that is absent but must be.

Non-conformities include things like a scrape, fracture, bubbles, imperfection, broken latch, as well as a hole. C-charts are used to assess if a system is consistent as well as reliable, or to track the results of process enhancement concepts. The Poisson distribution is used as the fundamental distribution for the c-chart, as well as it is predicated on the notion that errors happen randomly on every unit.