MAXX
The MAXX function in Infoveave is used to find the maximum (largest) value within the specified column, based on a specified condition defined by the argument.
Applicable to
- Calculated Columns
- Expressions
Return Value
The return value of the MAXX function is the largest value found within the specified column over the applied condition.
Remark
MAXX is particularly useful when you need to find the maximum value under specific conditions within your data, allowing you to make conditional calculations based on criteria.
Syntax
MAXX(<Reference>,<Condition>)
MAXX in Board Expression
Parameter | Description |
---|---|
Expression | A placeholder in a function that is replaced with the actual widget and measure names. |
Condition | A placeholder in a function that is replaced with the condition filter. |
Widget Name | The specific name or identifier of the widget being used for data visualization in the specific Infoboard. |
Measure | Represents the name of the measure that is being displayed or analyzed using the widget. |
Dimension | Represents the dimension column that is being displayed or analyzed using the widget. |
Dimension Value | Represents the specific dimension items within the dimension column used for the visualization in the widget. |
Steps to Use MAXX
- Write the MAXX function. For instance
MAXX(<expression>,<condition>)
- Replace
<expression>
with'Widget Name'[Measure]
and<condition>
with[Dimension Name]="Dimension Value"
. Replace Widget Name, Measure, Dimension, and Dimension Value with your actual values. - To learn how to configure an Expression in Infoveave, visit the section Configure Expression.
MAXX in Calculated Columns
Parameter | Description |
---|---|
Expression | A placeholder in a function that is replaced with the column names. |
Condition | A placeholder in a function that is replaced with the condition filter. |
Column Name | The name of the column in the dataset or Datasource that contains the values you want to analyze. |
Filter Condition | A filter condition returns the data points that meet the defined condition that you want to analyze. The filter condition can be either a string or a numeric. |
Steps to Use MAXX in Calculated Columns
- Write the MAXX function. For instance
MAXX(<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 the section Calculated Columns under Sources.
Objective Consider that you have the below sales dataset, your goal is to find the maximum entry value under MARKET PRICE for the COUNTRY is Brazil.
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 | 53.8155 | 8 |
2024-01-14 | Brazil | Snacks | 20.185 | 4 | |
Brazil | Cosmetics | 40.485 | 46.1529 | 2 |
- You can use the MAXX function like
MAXX([QUANTITY] , [CATEGORY]="Cereal")
The new calculated column “Max Market Price” will return the total number of rows in the dataset considering nulls and blanks as 53.8155
ORDER DATE | COUNTRY | CATEGORY | UNIT PRICE | MARKET PRICE | QUANTITY | MIN MARKET PRICE |
---|---|---|---|---|---|---|
03-01-2024 | Brazil | Baby Food | 38.41 | 43.7874 | 2 | 53.8155 |
07-01-2024 | Japan | Spices | 45.56 | 50.8155 | 20 | 53.8155 |
Japan | 43.7874 | 10 | 53.8155 | |||
18-01-2024 | 32.3019 | 4 | 53.8155 | |||
22-01-2024 | Brazil | Cosmetics | 28.335 | 23.0109 | 7 | 53.8155 |
26-01-2024 | Canada | 20.185 | 23.0109 | 9 | 53.8155 | |
04-01-2024 | France | Cereal | 25.26 | 28.7964 | 9 | 53.8155 |
09-01-2024 | Brazil | Cereal | 44.575 | 53.8155 | 8 | 53.8155 |
14-01-2024 | Brazil | Snacks | 20.185 | 4 | 53.8155 | |
Brazil | Cosmetics | 40.485 | 46.1529 | 2 | 53.8155 |