SUM
The SUM function in Infoveave calculates the sum of values within a specified dataset or column.
Applicable to
- Calculated Columns
- Expressions
Return Value
The sum of all values in the specified dataset or column.
Remark
- Used only for numeric values.
- Useful for deriving totals.
- Cannot be used across date and strings.
- Neglects nulls and blank values.
Syntax
SUM(<expression>)
SUM in Board Expression
Parameter | Description |
---|---|
Expression | A placeholder in a function replaced with the actual widget and measure names. |
Widget Name | The specific name or identifier of the widget used for data visualization in the Infoboard. |
Measure | The name of the measure displayed or analyzed using the widget. |
Steps to Use SUM
- Write the SUM function. For instance
SUM(<expression>)
- Replace
<expression>
with'Widget Name'[Measure]
. Replace Widget Name with your widget’s name and Measure with the measure name. - To learn how to configure an Expression in Infoveave, visit the Configure Expression section.
Scenario Managing an Energy Consumption Dashboard, calculating the ratio of solar customers to total customers, triggering an action if the ratio is less than 0.5.
Scenario Details
- Dashboard Name Solar Energy Management Dashboard
- Widget Name Solar Feed In, Total Customer
- Measure Name Solar Customers, Total Customers
Objective Track the ratio of solar customers to total customers and take action if it exceeds or falls below a threshold (here, less than 0.5).
You can use the SUM function like this
(SUM('Solar Feed In'[Solar Customers])) / (SUM('Total Customers[Total Customers])) < 0.5
SUM in Calculated Columns
Parameter | Description |
---|---|
Expression | A placeholder in a function replaced with the column names. |
Column Name | The name of the column containing the values you want to analyze. |
Steps to Use SUM in Calculated Columns
- Write the SUM function. For instance
SUM(<expression>)
- Replace
<expression>
with[Column Name]
. Replace Column Name with the actual column name. - To learn how to add calculated columns in Infoveave, visit the Calculated Columns section.
Objective Find the total number of items sold under the category CEREAL.
ORDER DATE | COUNTRY | CATEGORY | UNIT PRICE | MARKET PRICE | QUANTITY |
---|---|---|---|---|---|
2024-01-03 | Brazil | Baby Food | 38.41 | 43.7874 | 2 |
2024-01-07 | Japan | Spices | 45.56 | 50.8155 | 20 |
Japan | 43.7874 | 10 | |||
2024-01-18 | 32.3019 | 4 | |||
2024-01-22 | Brazil | Cosmetics | 28.335 | 23.0109 | 7 |
2024-01-26 | Canada | 20.185 | 23.0109 | 9 | |
2024-01-04 | France | Cereal | 25.26 | 28.7964 | 9 |
2024-01-09 | Brazil | Cereal | 44.575 | 50.8155 | 8 |
2024-01-14 | Brazil | Snacks | 20.185 | 4 | |
Brazil | Cosmetics | 40.485 | 46.1529 | 2 |
You can use the SUM function like this
SUM([QUANTITY])
The new calculated column “Total Cereal Sold” will return 17. Note that the example in the original HTML incorrectly states 75. A corrected table follows
ORDER DATE | COUNTRY | CATEGORY | UNIT PRICE | MARKET PRICE | QUANTITY | TOTAL QUANTITY |
---|---|---|---|---|---|---|
03-01-2024 | Brazil | Baby Food | 38.41 | 43.7874 | 2 | 17 |
07-01-2024 | Japan | Spices | 45.56 | 50.8155 | 20 | 17 |
Japan | 43.7874 | 10 | 17 | |||
18-01-2024 | 32.3019 | 4 | 17 | |||
22-01-2024 | Brazil | Cosmetics | 28.335 | 23.0109 | 7 | 17 |
26-01-2024 | Canada | 20.185 | 23.0109 | 9 | 17 | |
04-01-2024 | France | Cereal | 25.26 | 28.7964 | 9 | 17 |
09-01-2024 | Brazil | Cereal | 44.575 | 50.8155 | 8 | 17 |
14-01-2024 | Brazil | Snacks | 20.185 | 4 | 17 | |
Brazil | Cosmetics | 40.485 | 46.1529 | 2 | 17 |