Study design
Pareto analysis study requirements and dataset layout.
Requirements
- A categorical variable of failures.
- 1 or 2 factor variables.
Dataset layout
Use a column for the variable (Failute), an optional column for the factor variable (Operator); each row has the values of the variables for a failure (ID).
| ID (optional) | Operator (optional) | Failure |
|---|---|---|
| 1 | SNH | Colorimeter drift |
| 2 | SNH | Miscellaneous |
| 3 | JDH | Electrode failure |
| 4 | GMH | Deformed tubing |
| 5 | SNH | Reagents |
| 6 | SNH | Light failure |
| 7 | JDH | Deformed tubing |
| 8 | SNH | Colorimeter drift |
| 9 | JDH | Colorimeter drift |
| 10 | GMH | Deformed tubing |
| … | … | … |
Frequency form dataset layout
Use a column for the variable (Failute), an optional column for the factor variable (Operator) and a column for the number of cases (Frequency); each row has the values of the variables and the frequency count.
| Failure | Operator (optional) | Frequency |
|---|---|---|
| Colorimeter drift | SNH | 14 |
| Colorimeter drift | JDH | 15 |
| Colorimeter drift | GMH | 22 |
| Deformed tubing | SNH | 4 |
| Deformed tubing | JDH | 5 |
| Deformed tubing | GMH | 5 |
| Electrode failure | SNH | 1 |
| Electrode failure | JDH | 2 |
| Electrode failure | GMH | 3 |
| … | … | … |
