Computes the maximum value found in all row values in a column. Input column are permitted to be of Integer or Decimal.
- When used in a
pivottransform, the function is computed for each instance of the value specified in thegroupparameter. See Pivot Transform. - 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 a null value.
For a version of this function computed over a rolling window of rows, see ROLLINGMAX Function.
Basic Usage
max(myRating)
Output: Returns the maximum value of the myRating column.
Syntax and Arguments
max(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 maximum. 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
Source: Students took a test and recorded the following scores. You want to perform some statistical analysis on them: Transformation: You can use the following transformations to calculate the average (mean), minimum, and maximum scores: To apply statistical functions to your data, you can use the For each score, you can now calculate the variation of each one from the average, using the following: Now, you want to apply grades based on a formula: You can build the following transformation using the For more information, see IF Function. To clean up the content, you might want to apply some formatting to the score columns. The following reformats the Results: 87.00000000000001Student Score Anna 84 Ben 71 Caleb 76 Danielle 87 Evan 85 Faith 92 Gabe 85 Hannah 99 Ian 73 Jane 68
Transformation Name
New formula
Parameter: Formula type
Single row formula
Parameter: Formula
AVERAGE(Score)
Parameter: New column name
'avgScore'
Transformation Name
New formula
Parameter: Formula type
Single row formula
Parameter: Formula
MIN(Score)
Parameter: New column name
'minScore'
Transformation Name
New formula
Parameter: Formula type
Single row formula
Parameter: Formula
MAX(Score)
Parameter: New column name
'maxScore'VAR and STDEV functions, which can be used as the basis for other statistical calculations.
Transformation Name
New formula
Parameter: Formula type
Single row formula
Parameter: Formula
VAR(Score)
Parameter: New column name
var_Score
Transformation Name
New formula
Parameter: Formula type
Single row formula
Parameter: Formula
STDEV(Score)
Parameter: New column name
stdev_Score
Transformation Name
New formula
Parameter: Formula type
Single row formula
Parameter: Formula
((Score - avg_Score) / stdev_Score)
Parameter: New column name
'stDevs'Grade standard deviations from avg (stDevs) A stDevs > 1 B stDevs > 0.5 C -1 <= stDevs <= 0.5 D stDevs < -1 F stDevs < -2 IF function to calculate grades.
Transformation Name
New formula
Parameter: Formula type
Single row formula
Parameter: Formula
IF((stDevs > 1),'A',IF((stDevs < -2),'F',IF((stDevs < -1),'D',IF((stDevs > 0.5),'B','C'))))stdev_Score and stDevs columns to display two decimal places:
Transformation Name
Edit column with formula
Parameter: Columns
stdev_Score
Parameter: Formula
NUMFORMAT(stdev_Score, '##.00')
Transformation Name
Edit column with formula
Parameter: Columns
stDevs
Parameter: Formula
NUMFORMAT(stDevs, '##.00')
Transformation Name
New formula
Parameter: Formula type
Single row formula
Parameter: Formula
MODE(Score)
Parameter: New column name
'modeScore'Student Score modeScore avgScore minScore maxScore var_Score stdev_Score stDevs Grade Anna 84 85 82 68 99 9.33 0.21 C Ben 71 85 82 68 99 87.00000000000001 9.33 -1.18 D Caleb 76 85 82 68 99 87.00000000000001 9.33 -0.64 C Danielle 87 85 82 68 99 87.00000000000001 9.33 0.54 B Evan 85 85 82 68 99 87.00000000000001 9.33 0.32 C Faith 92 85 82 68 99 87.00000000000001 9.33 1.07 A Gabe 85 85 82 68 99 87.00000000000001 9.33 0.32 C Hannah 99 85 82 68 99 87.00000000000001 9.33 1.82 A Ian 73 85 82 68 99 87.00000000000001 9.33 -0.96 C Jane 68 85 82 68 99 87.00000000000001 9.33 -1.50 D
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