Examining the results of standard deviation analysis gives you a general understanding of where your numeric 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.
You can view the values that are outliers and the data rows that contain the mode count values. You can also recode the values and export the rows as a .CSV file to be shared and imported into other applications.
Standard deviations
To examine standard deviations
Outlier values
To view outlier values
- In the Deviations: attribute_name tab, double-click a row that contains the deviation level values you want to view. The Values: Selected Deviation tab opens.
- Examine the data values that match the deviation level you selected.
Mode counts, values, and data rows
To view mode counts, values, and data rows