Examining Standard Deviation - 17.2

Trillium Control Center

Product type
Software
Portfolio
Verify
Product family
Trillium
Product
Trillium > Trillium Quality
Trillium > Trillium Discovery
Version
17.2
Language
English
Product name
Trillium Quality and Discovery
Title
Trillium Control Center
First publish date
2008
Last updated
2024-07-01
Published on
2024-07-01T08:56:48.630530

Examining the results of standard deviation analysis gives you a general understanding of where your attribute data falls in the range of deviation, and how much of your data is considered outlying. .

Outliers and Mode Count

From standard deviations you drill down to view the corresponding outlier values. The higher the standard deviation level, the more outside the standard range of data the outlier is considered.

You can also examine mode count values. Mode counts are numbers that appear with the highest frequency in your dataset. For example, the mode value is 60 for the following set of data: 40 56 59 60 60 62 65 69 75 84.

View Standard Deviations

To view standard deviations

  1. In the Navigation View, click the Discover bar, then click the Entities tab.
  2. Expand the entity with which you want to work.
  3. Double-click the attribute with which you want to work. The Entity Member Attribute List View opens showing attribute metadata.
  4. Double-click the Standard Deviation row. The Deviations List View opens.
  5. Examine the Deviations List View.

View Outlier Values

To view outlier values

  1. In the Deviations List View, right-click a row and select Drill down to Outliers. The Views List View opens.
  2. Examine the data values that match the deviation level you selected.

View Mode Counts

To view mode counts

  1. In the Navigation View, click the Discover bar, then click the Entities tab.
  2. Expand the entity with which you want to work.
  3. Double-click the attribute with which you want to work. The Entity Member Attribute List View opens showing attribute metadata.
  4. Double-click the Mode Count row. The Mode Values List View opens, showing metadata for frequency, distribution percentage, and so on. The Value column shows the data values that show up with the highest frequency in the attribute.