Reference documentation and code samples for the Google Cloud Dataplex V1 Client class DoubleFieldInfo.
The profile information for a double type field.
Generated from protobuf message google.cloud.dataplex.v1.DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo
Namespace
Google \ Cloud \ Dataplex \ V1 \ DataProfileResult \ Profile \ Field \ ProfileInfoMethods
__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 |
float
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 quartile values for the scanned data, occurring in order Q1, median, Q3. |
↳ max |
float
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 |
float |
|
setMin
Output only. Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
| Parameter | |
|---|---|
| Name | Description |
var |
float
|
| 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 quartile values for the scanned data, occurring in order Q1, median, Q3.
| Returns | |
|---|---|
| Type | Description |
Google\Protobuf\Internal\RepeatedField |
|
setQuartiles
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 quartile values for the scanned data, occurring in order Q1, median, Q3.
| Parameter | |
|---|---|
| Name | Description |
var |
float[]
|
| 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 |
float |
|
setMax
Output only. Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
| Parameter | |
|---|---|
| Name | Description |
var |
float
|
| Returns | |
|---|---|
| Type | Description |
$this |
|