Google Cloud Dataplex V1 Client - Class IntegerFieldInfo (1.11.0)

Reference documentation and code samples for the Google Cloud Dataplex V1 Client class IntegerFieldInfo.

The profile information for an integer type field.

Generated from protobuf message google.cloud.dataplex.v1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo

Namespace

Google \ Cloud \ Dataplex \ V1 \ DataProfileResult \ Profile \ Field \ ProfileInfo

Methods

__construct

Constructor.

Parameters
Name	Description
`data`	`array` Optional. Data for populating the Message object.
`↳ average`	`float` Output only. Average of non-null values in the scanned data. NaN, if the field has a NaN.
`↳ standard_deviation`	`float` Output only. Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.
`↳ min`	`int\|string` Output only. Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
`↳ quartiles`	`array` Output only. A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of approximate quartile values for the scanned data, occurring in order Q1, median, Q3.
`↳ max`	`int\|string` Output only. Maximum of non-null values in the scanned data. NaN, if the field has a NaN.

getAverage

Output only. Average of non-null values in the scanned data. NaN, if the field has a NaN.

Returns
Type	Description
`float`

setAverage

Output only. Average of non-null values in the scanned data. NaN, if the field has a NaN.

Parameter
Name	Description
`var`	`float`

Returns
Type	Description
`$this`

getStandardDeviation

Output only. Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

Returns
Type	Description
`float`

setStandardDeviation

Output only. Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

Parameter
Name	Description
`var`	`float`

Returns
Type	Description
`$this`

getMin

Output only. Minimum of non-null values in the scanned data. NaN, if the field has a NaN.

Returns
Type	Description
`int\|string`

setMin

Output only. Minimum of non-null values in the scanned data. NaN, if the field has a NaN.

Parameter
Name	Description
`var`	`int\|string`

Returns
Type	Description
`$this`

getQuartiles

Output only. A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point.

The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of approximate quartile values for the scanned data, occurring in order Q1, median, Q3.

Returns
Type	Description
`Google\Protobuf\Internal\RepeatedField`

setQuartiles

Parameter
Name	Description
`var`	`int[]\|string[]\|Google\Protobuf\Internal\RepeatedField`

Returns
Type	Description
`$this`

getMax

Output only. Maximum of non-null values in the scanned data. NaN, if the field has a NaN.

Returns
Type	Description
`int\|string`

setMax