How to create c- or u-chart

This help page describes how you can create c- or u-chart in Power BI, using the Craydec Control Charts.

Craydec Control Charts - c-chart

What are they / When to use

The c- and u-charts are used to track the number of faults in items produced by a process over time. Both charts use count data, for example number of defects in inspected items. Interpreting the count requires an Area of Opportunity, for example, number of parts produced.

The c- and c-charts track number of defects. This means that item can have multiple defects.

The difference between the c- and u-chart is that c-chart has fixed Area of Opportunity, and u-chart has variable AoO.

Craydec Control Charts - u-chart

The Area of Opportunity is variable in u-chart, creating different limits for each data point.

Creating c-chart

Data required
x, count

Example data for c-chart
Example data. This data is used in the downloadable example report.

id = x, number_faulty_items = measured value

Steps

1) Add visual to the report
See the Microsoft’s documentation.

2) Prepare data
See the Microsoft’s documentation.

Note that count must be numeric data type, usually a whole number. X can be number, text, or date, but it must sort the data correctly. It is also good idea to have unique values for x in each row, unless ‘Row ID’ is used.

3) Add data roles
Select data roles. As order of the data lines is important for the correct visualization, it is safest to start by selecting ‘id’ or ‘x’ data role first.

4) Enter a license code
See the help video.

5) Change chart type
Select Format > Chart > Chart Type > ‘u-chart’. You have to have a valid license to change the chart type.

6) Check results

Common errors
See separate common errors page.

Examples

See the example report. Data contains fictional set of count of defects in items produced by a process.

Creating u-chart

Data required
x, count, area of opportunity

Example data for u-chart

Example data. This data is used in the downloadable example report.

id = x, number_faulty_items = measured value, area_of_opportunity = Area of Opportunity

Steps

1) Add visual to the report
See separate help page.

2) Prepare data
See separate help page.

Note that count and area of opportunity must be numeric data type, usually a whole number. X can be number, text, or date, but it must sort the data correctly. It is also good idea to have unique values for x in each row, unless ‘Row ID’ is used.

3) Add data roles
Select data roles. As order of the data lines is important for the correct visualization, it is safest to start by selecting ‘id’ or ‘x’ data role first.

4) Enter a license code
See the help video.

5) Change chart type
Select Format > Chart > Chart Type > ‘u-chart’. You have to have a valid license to change the chart type.

6) Check results
Note that u-chart must relate the count to the area of opportunity, so the result is shown as rate. This is a feature of a u-chart, and it cannot be avoided.

Common errors
See separate common errors page.

Examples

See the example report. Data contains fictional set of count of defects in items produced by a process.