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
Average of non-null values in the scanned data. NaN, if the field has a NaN.
↳ standard_deviation
float
Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.
↳ min
int|string
Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
↳ quartiles
array
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
Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
getAverage
Average of non-null values in the scanned data. NaN, if the field
has a NaN.
Returns
Type
Description
float
setAverage
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
Standard deviation of non-null values in the scanned data. NaN, if
the field has a NaN.
Returns
Type
Description
float
setStandardDeviation
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
Minimum of non-null values in the scanned data. NaN, if the field
has a NaN.
Returns
Type
Description
int|string
setMin
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
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.
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-09 UTC."],[],[],null,["# Google Cloud Dataplex V1 Client - Class IntegerFieldInfo (1.7.1)\n\nVersion latestkeyboard_arrow_down\n\n- [1.7.1 (latest)](/php/docs/reference/cloud-dataplex/latest/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [1.7.0](/php/docs/reference/cloud-dataplex/1.7.0/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [1.6.1](/php/docs/reference/cloud-dataplex/1.6.1/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [1.4.0](/php/docs/reference/cloud-dataplex/1.4.0/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [1.3.0](/php/docs/reference/cloud-dataplex/1.3.0/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [1.2.1](/php/docs/reference/cloud-dataplex/1.2.1/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [1.1.1](/php/docs/reference/cloud-dataplex/1.1.1/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [1.0.1](/php/docs/reference/cloud-dataplex/1.0.1/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.16.1](/php/docs/reference/cloud-dataplex/0.16.1/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.15.1](/php/docs/reference/cloud-dataplex/0.15.1/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.14.0](/php/docs/reference/cloud-dataplex/0.14.0/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.13.0](/php/docs/reference/cloud-dataplex/0.13.0/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.12.0](/php/docs/reference/cloud-dataplex/0.12.0/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.11.1](/php/docs/reference/cloud-dataplex/0.11.1/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.10.0](/php/docs/reference/cloud-dataplex/0.10.0/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.9.0](/php/docs/reference/cloud-dataplex/0.9.0/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.8.0](/php/docs/reference/cloud-dataplex/0.8.0/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.7.0](/php/docs/reference/cloud-dataplex/0.7.0/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.6.0](/php/docs/reference/cloud-dataplex/0.6.0/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.5.1](/php/docs/reference/cloud-dataplex/0.5.1/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.4.0](/php/docs/reference/cloud-dataplex/0.4.0/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.3.0](/php/docs/reference/cloud-dataplex/0.3.0/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.2.3](/php/docs/reference/cloud-dataplex/0.2.3/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo)\n- [0.1.6](/php/docs/reference/cloud-dataplex/0.1.6/V1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo) \nReference documentation and code samples for the Google Cloud Dataplex V1 Client class IntegerFieldInfo.\n\nThe profile information for an integer type field.\n\nGenerated from protobuf message `google.cloud.dataplex.v1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo`\n\nNamespace\n---------\n\nGoogle \\\\ Cloud \\\\ Dataplex \\\\ V1 \\\\ DataProfileResult \\\\ Profile \\\\ Field \\\\ ProfileInfo\n\nMethods\n-------\n\n### __construct\n\nConstructor.\n\n### getAverage\n\nAverage of non-null values in the scanned data. NaN, if the field\nhas a NaN.\n\n### setAverage\n\nAverage of non-null values in the scanned data. NaN, if the field\nhas a NaN.\n\n### getStandardDeviation\n\nStandard deviation of non-null values in the scanned data. NaN, if\nthe field has a NaN.\n\n### setStandardDeviation\n\nStandard deviation of non-null values in the scanned data. NaN, if\nthe field has a NaN.\n\n### getMin\n\nMinimum of non-null values in the scanned data. NaN, if the field\nhas a NaN.\n\n### setMin\n\nMinimum of non-null values in the scanned data. NaN, if the field\nhas a NaN.\n\n### getQuartiles\n\nA quartile divides the number of data points into four parts, or\nquarters, of more-or-less equal size. Three main quartiles used\nare: The first quartile (Q1) splits off the lowest 25% of data from\nthe highest 75%. It is also known as the lower or 25th empirical\nquartile, as 25% of the data is below this point. The second\nquartile (Q2) is the median of a data set. So, 50% of the data lies\nbelow this point. The third quartile (Q3) splits off the highest\n25% of data from the lowest 75%. It is known as the upper or 75th\nempirical quartile, as 75% of the data lies below this point.\n\nHere, the quartiles is provided as an ordered list of approximate\nquartile values for the scanned data, occurring in order Q1,\nmedian, Q3.\n\n### setQuartiles\n\nA quartile divides the number of data points into four parts, or\nquarters, of more-or-less equal size. Three main quartiles used\nare: The first quartile (Q1) splits off the lowest 25% of data from\nthe highest 75%. It is also known as the lower or 25th empirical\nquartile, as 25% of the data is below this point. The second\nquartile (Q2) is the median of a data set. So, 50% of the data lies\nbelow this point. The third quartile (Q3) splits off the highest\n25% of data from the lowest 75%. It is known as the upper or 75th\nempirical quartile, as 75% of the data lies below this point.\n\nHere, the quartiles is provided as an ordered list of approximate\nquartile values for the scanned data, occurring in order Q1,\nmedian, Q3.\n\n### getMax\n\nMaximum of non-null values in the scanned data. NaN, if the field\nhas a NaN.\n\n### setMax\n\nMaximum of non-null values in the scanned data. NaN, if the field\nhas a NaN."]]
