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You can save your chart settings so that you can recreate charts using the same settings. You can change these settings to create new charts. You can select only those results that are to be charted. When you are satisfied with your settings and record selection, you can view your chart. You can optionally export chart information for further analysis.

Prerequisites

   To use Statit's charting and analysis capabilities, implement the Statit Integration. Once this integration is implemented you can also export results directly to Statit for further analysis. See: Integrating Oracle Quality and Statware.

   To copy settings to your Pareto chart:

1. Navigate to the Pareto Chart window.

2. Choose the Copy Settings button. See: Copying Settings.

3. Enter missing information or change the copied information as required (See below).

You can change all copied settings except the collection plan.

   To specify settings for your Pareto charts:

1. Navigate to the Pareto Chart window.

2. Enter the Chart Name.

To save your chart parameters, you must enter a chart name.

3. Select the Collection Plan to chart.

If you are creating a chart, you can select any collection plan, even those that are no longer effective. If you are changing a chart, you cannot change the collection plan.

4. Optionally, enter the Chart Title.

The text you enter here is displayed at the top of the chart.

5. Select the X-axis Collection Element.

The X-axis of the chart (the horizontal dimension) is the primary collection element that you want to analyze. For example, for a top defects Pareto, choose Defect Code as the collection element for the X-axis.

The X-Axis Element can be any collection plan element. However, usually you should select a collection element that represents an attribute or reference collection element; for example, Defect Code, Cause Code, Department, or Item Category.

6. Select the Y-axis Collection Element.

The Y-axis of the chart (the vertical dimension) usually represents a quantity or count of occurrences.

7. Select the Y-axis Function.

If the X-axis collection element selected is a number, you can sum or count the values associated with that collection element. You can also choose to determine the minimum, maximum, or average of these values. For example, if the collection plan contains collection elements Defect Code and Quantity Defective, you can choose Defect Code for the X-axis element, Quantity Defective for the Y-axis, then select the sum function for the Y-axis. When sum is selected all the defective quantities for each defect code are added up and charted. See: Functional Grouping and Processing.

If the X-axis collection element you select is a character or date (for example, Defect Code), you must select count. For example, if you have a collection plan with collection elements Serial Number and Defect Code, you might assume a quantity of 1 for each serialized unit. In this case, you can select Defect Code as the X-axis and specify the chart to count all the occurrences for each defect code.

8. Enter the Top n Groups to display on the chart. For example, enter 5 to chart the top five defect codes.

9. Optionally, enter the chart Description.

The text you enter here is displayed at the top of the chart, under the chart title.

   To find and select quality results:

• Navigate to the Show Results Where region of the Pareto Chart window. See: Finding Quality Results.

If you do not select which quality results to chart, all results associated with the collection plan are used.

   To view charts:

• If you are using the Oracle Quality statistics engine, choose the View Chart button. If you are using the Statit statistics engine, choose the Statit button. See: QA:Statistics Engine.

   To save chart settings:

• Choose the Save Settings button if you want to save the inquiry settings.

   To export chart results:

• If you are using the Oracle Quality statistics engine, choose Export Results from the Special Menu. If you are using the Statit Statistics Engine, choose Export to Statit from the Special Menu. See: Exporting Quality Results.

See Also