Contents > 4 The SDMetrics User Interface > 4.4 The View 'Metric Data Tables' > 4.4.1 Highlighting Outliers

### 4.4.1 Highlighting Outliers

The table view supports highlighting of outliers based on
one of two criteria: percentiles or distance from the mean.
**Percentiles**

This option highlights values above or below a given percentile. For
instance, you may choose to highlight, in each column, the metric
values equal or above the 95th percentile for the respective
metric. This highlights the top 5% metric values in each column.

You pick the percentile you wish to highlight from the top of the
highlight dropdown list in the control panel. If you choose a
percentile above the median (50th percentile), all values above that
percentile are highlighted. If you choose a percentile below the
median, the values below that percentile are highlighted.

SDMetrics calculates percentiles using the empirical
distribution function with averages. The list of percentiles
is configurable, see Section 4.16.2 "Percentiles".

**Distance from the mean**

This option highlights metric values with a certain distance from the
mean value of the metric. The distance is expressed in multiples of
the metric's standard deviation. For example, you may choose to
highlight metric values larger than the mean plus four times the
standard deviation of the metric. Simply select the appropriate
multiple from the highlight dropdown list.

"Distance from the mean" is meaningful for metrics defined on an
interval or ratio scale. "Percentiles" are meaningful for all ordinal
scale metrics.

To remove any highlighting from the table, choose the first entry
"nothing" from the highlight dropdown list.

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Section 4.4 "The View 'Metric Data Tables'" | Contents | Section 4.5 "The View 'Histograms'" |