Array Statistics

The Tools > Statistics command displays a window containing information about your array. The following figure shows an example.

Array Statistics Window

If you have added a filter or a slice, these statistics only describe the information that is being displayed; the statistics do not describe the entire unfiltered array.

The statistics TotalView displays are as follows:

  • Checksum

    A checksum value for the array elements.

  • Count

    The total number of displayed array values. If you are displaying a floating-point array, this number does not include NaN or Infinity values.

  • Denormalized Count

    A count of the number of denormalized values found in a floating-point array. This includes both negative and positive denormalized values as defined in the IEEE floating-point standard. Unlike other floating-point statistics, these elements participate in the statistical calculations.

  • Infinity Count

    A count of the number of infinity values found in a floating-point array. This includes both negative and positive infinity as defined in the IEEE floating-point standard. These elements do not participate in statistical calculations.

  • Lower Adjacent

    This value provides an estimate of the lower limit of the distribution. Values below this limit are called outliers. The lower adjacent value is the first quartile value less 1.5 times the difference between the first and third quartiles.

  • Maximum

    The largest array value.

  • Mean

    The average value of array elements.

  • Median

    The middle value. Half of the array's values are less than the median and half are greater than the median.

  • Minimum

    The smallest array value.

  • NaN Count

    A count of the number of NaN values found in a floating-point array. This includes both signaling and quiet NaNs as defined in the IEEE floating-point standard. These elements do not participate in statistical calculations.

  • Quartiles, First and Third

    Either the 25th or 75th percentile values. The first quartile value means that 25% of the array's values are less than this value and 75% are greater than this value. In contrast, the fourth quartile value means that 75% of the array's values are less than this value and 25% are greater.

  • Standard Deviation

    The standard deviation for the array's values.

  • Sum

    The sum of all of the displayed array's values.

  • Upper Adjacent

    This value provides an estimate of the upper limit of the distribution. Values above this limit are called outliers. The upper adjacent value is the third quartile value plus 1.5 times the difference between the first and third quartiles.

  • Zero Count

    The number of elements whose value is 0.

 
 
 
 
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