{{ transformations:AggregateAction.png}}
====== AGGREGATE ======
Category: Transform / Basic\\

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=====Description=====
This action calculates the aggregates for selected columns, grouped by another set of columns.

Available aggregations:
  * Sum
  * Count
  * Count only distinct values
  * Average
  * Min
  * Max
  * Any
  * Concatenate

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=====Action settings=====
^Setting^Description^
|Calculate|Select the column in which the values will be aggregated.|
|Aggregation method|Select the aggregation method to be used on the values in the chosen column.|
|Group by|Select the column(s) in which the grouping of values will drive the aggregation.|
More than one aggregated column can be created by clicking the //Aggregate by more columns// option and selecting the additional column and aggregation to apply.

The output of this action is a dataset containing the "Group by" column, plus an additional column for each aggregation chosen.\\
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====Concatenate settings====
^Setting^Description^
|Separator|Select the character (delimiter) that will appear between the concatenated values.  Options: //Comma//, //Semicolon//, //Tab//, //Pipe//, //Tilde//, //Space//, //Line break//, or //No separator//. |
|Distinct|When checked, only unique values in the aggregated column will be included in the concatenation.|

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=====Examples=====

**Example 1:** Find out the longest river on each continent.

**Source table:** The longest rivers in the world

^ River  ^ Length(km)  ^ Continent  ^
| Nile  |  6650|Africa  |
| Amazon  |  6400|South America  |
| Yangtze  |  6300|Asia  |
| Mississippi  |  6275|North America  |
| Yenisei  |  5539|Asia  |
| Yellow River  |  5464|Asia  |
| Ob  |  5410|Asia  |
| Paraná  |  4880|South America  |
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**Action parameters:**
>Calculate: Length(km), Aggregation: Max
>Group by: Continent
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**Result table:**
^Continent  ^Max of Length(km)  ^
|Africa  |  6650|
|Asia  |  6300|
|North America  |  6275|
|South America  |  6400|

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**Example 2:** Find out the longest river, and the number of rivers, on each continent.

**Source table:** Same source table as Example 1.\\
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**Action parameters:**
>Calculate: Length(km), Aggregation: Max
>Calculate: River, Aggregation: Count
>Group by: Continent
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**Result table:**
^Continent^Max of Length(km)^Count of River^
|Africa  |  6650|  1|
|Asia  |  6300|  3|
|North America  |  6275|  1|
|South America  |  6400|  2|

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====Community examples====
  * [[https://community.easymorph.com/t//675/5|Compare two Excel sheets with EasyMorph]] ([[https://community.easymorph.com/uploads/short-url/xQLWtAogCqcMrglyfXLKmrAF7aR.morph|Project]]; Module: //Main//; Group: //Compare column names//; Table: //Actual columns list//;\\ Action position: //3//)
  * [[https://community.easymorph.com/t//1357/2|Generate CommaSeparated Fieldlist]] ([[https://community.easymorph.com/uploads/short-url/7BiLOXdlQxZWOEOqIwfASApQern.morph|Project]]; Module: //Main//; Group: //Tab 1//; Table: //Table 1//; Action position: //4//)
  * [[https://community.easymorph.com/t//1652/2|Which technique for grouping many columns of data together (i.e. 50+ columns)]] ([[https://community.easymorph.com/uploads/short-url/ub3zV5WsGF4rWqJQMb7oEtPReqy.morph|Project]]; Module: //Main//; Group: //Tab 1//;\\ Table: //Aggregate//; Action position: //2//)
  * [[https://community.easymorph.com/t//1778/2|Aggregate for +500 columns]] ([[https://community.easymorph.com/uploads/short-url/8w0FN8IXxRdEIORedS9u8DKqhfA.morph|Project]]; Module: //Main//; Group: //Order preserved//; Table: //Book1.xlsx(2)//; Action position: //3//)
  * [[https://community.easymorph.com/t//2321/4|Collapsing multiple rows into one]] ([[https://community.easymorph.com/uploads/short-url/j6CBEKHa76q1v9oQqui4UPWN7ro.morph|Project]]; Module: //Main//; Group: //Group 1//; Table: //Method 2//; Action position: //2//)

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=====Shortcuts=====
Fast ways to create the action:\\
  *Right-click on a column heading, and select "Aggregate", then select the aggregation method from the submenu.
  *Click the drop-down arrow in a column heading and select "Aggregate", then select the aggregation method.


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=====See also=====
  * [[transformations:addcolumn|Calculate new column(s)]]
  * [[transformations:replacecolumns|Modify columns(s)]]
  * [[transformations:Rule|Rule]]