MINX
The MINX function in Infoveave finds the minimum (smallest) value in a dataset or column based on a specified condition.
Applicable to
- Calculated Columns
- Expressions
Return Value
The minimum value in the related table of the widget that satisfies the condition.
Remark
- MINX is useful for finding the smallest value under specific conditions.
- MINX excludes nulls and blanks.
- MINX works with Dates, Strings, and Numbers.
Syntax
MINX(<Reference>,<Condition>)MINX in Board Expression
| Parameter | Description | 
|---|---|
| Expression | Placeholder replaced with the condition filter. | 
| Widget Name | Specific name of the widget used for data visualization in the Infoboard. | 
| Measure | Name of the measure displayed or analyzed using the widget. | 
| Dimension | Dimension column displayed or analyzed using the widget. | 
| Dimension Value | Specific dimension items within the dimension column used for widget visualization. | 
Steps to Use MINX
- Write the MINX function. For instance MINX(<expression>,<condition>)
- Replace <expression>with'Widget Name'[Measure]and<condition>with[Dimension Name]="Dimension Value". Replace Widget Name, Measure, Dimension Name, and Dimension Value with your actual values.
- To learn how to configure an Expression in Infoveave, visit Configure Expression.
Scenario You manage a solar energy company’s customer database, including discount information. Your goal is to optimize discounts while ensuring a minimum number of customers receive a “Guaranteed” discount.
Scenario Details
- Dashboard Name Solar Energy Management Dashboard
- Widget Name Solar Feed In
- Measure Name Solar Customers
- Dimension Name Discount Types
- Dimension Values “Guaranteed”
Objective Find the minimum number of solar customers who must have the “Guaranteed” discount type. If yes it must trigger an action.
- You can use the MINX function like this
MINX('Solar Feed In'[Solar Customers], [Discount Types]="Guaranteed") > 10MINX in Calculated Columns
| Parameter | Description | 
|---|---|
| Expression | Placeholder replaced with the condition filter. | 
| Column Name | Name of the column containing values to analyze. | 
| Filter Condition | Filter condition (string or numeric) that returns data points to analyze. | 
Steps to Use MINX in Calculated Columns
- Write the MINX function. For instance MINX(<expression>,<condition>)
- Replace <expression>with[Column Name]and<condition>with[Column Name]="Filter Condition". Replace Column Name and Filter Condition with your actual values.
- To learn how to add calculated columns in Infoveave, visit Calculated Columns under Sources.
Objective Find the minimum MARKET PRICE for COUNTRY = Brazil in a sales dataset.
| 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 MINX function like this
MINX([MARKET PRICE], [COUNTRY] = "Brazil")The calculated column “Min Market Price” will return 23.0109.
| ORDER DATE | COUNTRY | CATEGORY | UNIT PRICE | MARKET PRICE | QUANTITY | MIN MARKET PRICE | 
|---|---|---|---|---|---|---|
| 03-01-2024 | Brazil | Baby Food | 38.41 | 43.7874 | 2 | 23.0109 | 
| 07-01-2024 | Japan | Spices | 45.56 | 50.8155 | 20 | 23.0109 | 
| Japan | 43.7874 | 10 | 23.0109 | |||
| 18-01-2024 | 32.3019 | 4 | 23.0109 | |||
| 22-01-2024 | Brazil | Cosmetics | 28.335 | 23.0109 | 7 | 23.0109 | 
| 26-01-2024 | Canada | 20.185 | 23.0109 | 9 | 23.0109 | |
| 04-01-2024 | France | Cereal | 25.26 | 28.7964 | 9 | 23.0109 | 
| 09-01-2024 | Brazil | Cereal | 44.575 | 50.8155 | 8 | 23.0109 | 
| 14-01-2024 | Brazil | Snacks | 20.185 | 4 | 23.0109 | |
| Brazil | Cosmetics | 40.485 | 46.1529 | 2 | 23.0109 |