AVERAGEIF Function
Generates the average value of rows in each group that meet a specific condition. Generated value is of Decimal type.
Nota
When added to a transformation, this function is applied to the current sample. If you change your sample or run the job, the computed values for this function are updated. Transformations that change the number of rows in subsequent recipe steps do not affect the values computed for this step.
To perform a simple averaging of rows without conditionals, use the AVERAGE function. See AVERAGE Function.
Wrangle vs. SQL: This function is part of Wrangle, a proprietary data transformation language. Wrangle is not SQL. For more information, see Wrangle Language.
Basic Usage
averageif(fineValue, finesCount >= 3)
Output: Generates a two-column table containing the unique values for postal_code and the average of the fineValue column for that postal_code value when the finesCount is greater than or equal to 3. The limit parameter defines the maximum number of output columns.
Syntax and Arguments
averageif(col_ref, test_expression) [group:group_col_ref] [limit:limit_count]
Argument | Required? | Data Type | Description |
|---|---|---|---|
col_ref | Y | string | Reference to the column you wish to evaluate. |
test_expression | Y | string | Expression that is evaluated. Must resolve to |
For more information on syntax standards, see Language Documentation Syntax Notes.
For more information on the group and limit parameter, see Pivot Transform.
col_ref
Name of the column whose values you wish to use in the calculation. Column must be a numeric (Integer or Decimal) type.
Usage Notes:
Required? | Data Type | Example Value |
|---|---|---|
Yes | String that corresponds to the name of the column | myValues |
test_expression
This parameter contains the expression to evaluate. This expression must resolve to a Boolean (true or false) value.
Usage Notes:
Required? | Data Type | Example Value |
|---|---|---|
Yes | String expression that evaluates to | (LastName == 'Mouse' && FirstName == 'Mickey') |
Examples
Suggerimento
For additional examples, see Common Tasks.
Example - Conditional Calculation Functions
This example illustrates how to use the conditional calculation functions.
Functions:
Item | Description |
|---|---|
AVERAGEIF Function | Generates the average value of rows in each group that meet a specific condition. Generated value is of Decimal type. |
MINIF Function | Generates the minimum value of rows in each group that meet a specific condition. Inputs can be Integer, Decimal, or Datetime. |
MAXIF Function | Generates the maximum value of rows in each group that meet a specific condition. Inputs can be Integer, Decimal, or Datetime. |
VARIF Function | Generates the variance of values by group in a column that meet a specific condition. |
STDEVIF Function | Generates the standard deviation of values by group in a column that meet a specific condition. |
Source:
Here is some example weather data:
date | city | rain | temp | wind |
|---|---|---|---|---|
1/23/17 | Valleyville | 0.00 | 12.8 | 6.7 |
1/23/17 | Center Town | 0.31 | 9.4 | 5.3 |
1/23/17 | Magic Mountain | 0.00 | 0.0 | 7.3 |
1/24/17 | Valleyville | 0.25 | 17.2 | 3.3 |
1/24/17 | Center Town | 0.54 | 1.1 | 7.6 |
1/24/17 | Magic Mountain | 0.32 | 5.0 | 8.8 |
1/25/17 | Valleyville | 0.02 | 3.3 | 6.8 |
1/25/17 | Center Town | 0.83 | 3.3 | 5.1 |
1/25/17 | Magic Mountain | 0.59 | -1.7 | 6.4 |
1/26/17 | Valleyville | 1.08 | 15.0 | 4.2 |
1/26/17 | Center Town | 0.96 | 6.1 | 7.6 |
1/26/17 | Magic Mountain | 0.77 | -3.9 | 3.0 |
1/27/17 | Valleyville | 1.00 | 7.2 | 2.8 |
1/27/17 | Center Town | 1.32 | 20.0 | 0.2 |
1/27/17 | Magic Mountain | 0.77 | 5.6 | 5.2 |
1/28/17 | Valleyville | 0.12 | -6.1 | 5.1 |
1/28/17 | Center Town | 0.14 | 5.0 | 4.9 |
1/28/17 | Magic Mountain | 1.50 | 1.1 | 0.4 |
1/29/17 | Valleyville | 0.36 | 13.3 | 7.3 |
1/29/17 | Center Town | 0.75 | 6.1 | 9.0 |
1/29/17 | Magic Mountain | 0.60 | 3.3 | 6.0 |
Transformation:
The following computes average temperature for rainy days by city:
Transformation Name | |
|---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | AVERAGEIF(temp, rain > 0) |
Parameter: Group rows by | city |
Parameter: New column name | 'avgTempWRain' |
The following computes maximum wind for sub-zero days by city:
Transformation Name | |
|---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | MAXIF(wind,temp < 0) |
Parameter: Group rows by | city |
Parameter: New column name | 'maxWindSubZero' |
This step calculates the minimum temp when the wind is less than 5 mph by city:
Transformation Name | |
|---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | MINIF(temp,wind<5) |
Parameter: Group rows by | city |
Parameter: New column name | 'minTempWind5' |
This step computes the variance in temperature for rainy days by city:
Transformation Name | |
|---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | VARIF(temp,rain >0) |
Parameter: Group rows by | city |
Parameter: New column name | 'varTempWRain' |
The following computes the standard deviation in rainfall for Center Town:
Transformation Name | |
|---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | STDEVIF(rain,city=='Center Town') |
Parameter: Group rows by | city |
Parameter: New column name | 'stDevRainCT' |
You can use the following transforms to format the generated output. Note the $col placeholder value for the multi-column transforms:
Transformation Name | |
|---|---|
Parameter: Columns | stDevRainCenterTown,maxWindSubZero |
Parameter: Formula | numformat($col,'##.##') |
Since the following rely on data that has only one significant digit, you should format them differently:
Transformation Name | |
|---|---|
Parameter: Columns | varTempWRain,avgTempWRain,minTempWind5 |
Parameter: Formula | numformat($col,'##.#') |
Results:
date | city | rain | temp | wind | avgTempWRain | maxWindSubZero | minTempWind5 | varTempWRain | stDevRainCT |
|---|---|---|---|---|---|---|---|---|---|
1/23/17 | Valleyville | 0.00 | 12.8 | 6.7 | 8.3 | 5.1 | 7.2 | 63.8 | 0.37 |
1/23/17 | Center Town | 0.31 | 9.4 | 5.3 | 7.3 | 5 | 32.6 | 0.37 | |
1/23/17 | Magic Mountain | 0.00 | 0.0 | 7.3 | 1.6 | 6.43 | -3.9 | 12 | 0.37 |
1/24/17 | Valleyville | 0.25 | 17.2 | 3.3 | 8.3 | 5.1 | 7.2 | 63.8 | 0.37 |
1/24/17 | Center Town | 0.54 | 1.1 | 7.6 | 7.3 | 5 | 32.6 | 0.37 | |
1/24/17 | Magic Mountain | 0.32 | 5.0 | 8.8 | 1.6 | 6.43 | -3.9 | 12 | 0.37 |
1/25/17 | Valleyville | 0.02 | 3.3 | 6.8 | 8.3 | 5.1 | 7.2 | 63.8 | 0.37 |
1/25/17 | Center Town | 0.83 | 3.3 | 5.1 | 7.3 | 5 | 32.6 | 0.37 | |
1/25/17 | Magic Mountain | 0.59 | -1.7 | 6.4 | 1.6 | 6.43 | -3.9 | 12 | 0.37 |
1/26/17 | Valleyville | 1.08 | 15.0 | 4.2 | 8.3 | 5.1 | 7.2 | 63.8 | 0.37 |
1/26/17 | Center Town | 0.96 | 6.1 | 7.6 | 7.3 | 5 | 32.6 | 0.37 | |
1/26/17 | Magic Mountain | 0.77 | -3.9 | 3.0 | 1.6 | 6.43 | -3.9 | 12 | 0.37 |
1/27/17 | Valleyville | 1.00 | 7.2 | 2.8 | 8.3 | 5.1 | 7.2 | 63.8 | 0.37 |
1/27/17 | Center Town | 1.32 | 20.0 | 0.2 | 7.3 | 5 | 32.6 | 0.37 | |
1/27/17 | Magic Mountain | 0.77 | 5.6 | 5.2 | 1.6 | 6.43 | -3.9 | 12 | 0.37 |
1/28/17 | Valleyville | 0.12 | -6.1 | 5.1 | 8.3 | 5.1 | 7.2 | 63.8 | 0.37 |
1/28/17 | Center Town | 0.14 | 5.0 | 4.9 | 7.3 | 5 | 32.6 | 0.37 | |
1/28/17 | Magic Mountain | 1.50 | 1.1 | 0.4 | 1.6 | 6.43 | -3.9 | 12 | 0.37 |
1/29/17 | Valleyville | 0.36 | 13.3 | 7.3 | 8.3 | 5.1 | 7.2 | 63.8 | 0.37 |
1/29/17 | Center Town | 0.75 | 6.1 | 9.0 | 7.3 | 5 | 32.6 | 0.37 | |
1/29/17 | Magic Mountain | 0.60 | 3.3 | 6.0 | 1.6 | 6.43 | -3.9 | 12 | 0.37 |