Computes the sum of all values found in all row values in a column. Input column can be of Integer or Decimal.
- If a row contains a missing or null value, it is not factored into the calculation. If no numeric values are found in the source column, the function returns
0. - When used in a
pivottransform, the function is computed for each instance of the value specified in thegroupparameter. See Pivot Transform.
For a version of this function computed over a rolling window of rows, see ROLLINGSUM 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
sum(myRating)
Output: Returns the sum of the group of values from the myRating column.
Wrangle vs. SQL: This function is part of Wrangle, a proprietary data transformation language. Wrangle is not SQL. For more information, see Wrangle Language.
Syntax and Arguments
sum(function_col_ref) [group:group_col_ref] [limit:limit_count]
| Argument | Required? | Data Type | Description |
|---|---|---|---|
| function_col_ref | Y | string | Name of column to which to apply the function |
For more information on the group and limit parameters, see Pivot Transform.
For more information on syntax standards, see Language Documentation Syntax Notes.
function_col_ref
Name of the column the values of which you want to calculate the sum. Column must contain Integer or Decimal values.
- Literal values are not supported as inputs.
- Multiple columns and wildcards are not supported.
Usage Notes:
| Required? | Data Type | Example Value |
|---|---|---|
| Yes | String (column reference) | myValues |
Tip: For additional examples, see Common Tasks.
Examples
You have the following set of orders for two months, and you are interested in identifying the set of colors that have been sold for each product for each month and the total quantity of product sold for each month. Source: Transformation: To track by month, you need a column containing the month value extracted from the date: You can use the following transform to check the list of unique values among the colors: Delete the above transform. You can aggregate the data in your dataset, grouped by the reformatted Results:LIST - Extracts up to 1000 values from one column into an array in a new column. See LIST Function.UNIQUE - Extracts up to 1000 unique values from one column into an array in a new column. See UNIQUE Function.OrderId Date Item Qty Color 1001 1/15/15 Pants 1 red 1002 1/15/15 Shirt 2 green 1003 1/15/15 Hat 3 blue 1004 1/16/15 Shirt 4 yellow 1005 1/16/15 Hat 5 red 1006 1/20/15 Pants 6 green 1007 1/15/15 Hat 7 blue 1008 4/15/15 Shirt 8 yellow 1009 4/15/15 Shoes 9 brown 1010 4/16/15 Pants 1 red 1011 4/16/15 Hat 2 green 1012 4/16/15 Shirt 3 blue 1013 4/20/15 Shoes 4 black 1014 4/20/15 Hat 5 blue 1015 4/20/15 Pants 6 black
Transformation Name
Edit column with formula
Parameter: Columns
Date
Parameter: Formula
DATEFORMAT(Date, 'MMM yyyy')
Transformation Name
Pivot columns
Parameter: Row labels
Date
Parameter: Values
unique(Color, 1000)
Parameter: Max number of columns to create
10Date unique_Color Jan 2015 ["green","blue","red","yellow"] Apr 2015 Date values, and apply the LIST function to the Color column. In the same aggregation, you can include a summation function for the Qty column:
Transformation Name
Pivot columns
Parameter: Row labels
Date
Parameter: Values
list(Color, 1000),sum(Qty)
Parameter: Max number of columns to create
10Date list_Color sum_Qty Jan 2015 ["green","blue","blue","red","green","red","yellow"] 28 Apr 2015 38
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