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MEDIAN Function

Computes the median from all row values in a column or group. Input column can be of Integer or Decimal.

  • If a row contains a missing or null value, it is not factored into the calculation. If the entire column contains no values, the function returns a null value.

  • When used in apivottransform, the function is computed for each instance of the value specified in thegroupparameter. See Pivot Transform.

Wrangle vs. SQL: This function is part of Wrangle, a proprietary data transformation language. Wrangle is not SQL. For more information, see Wrangle Language.

Basic Usage

median(myRating)

Output: Returns the median of the values in the myRating column.

Syntax and Arguments

median(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 median. 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

Examples

Tip

For additional examples, see Common Tasks.

Example - Percentile functions

This example illustrates how you can apply the following percentile-related functions to your transformations:

  • MEDIAN - Calculate the median value from a column of values. See MEDIAN Function.

  • PERCENTILE - Calculate a specified percentile for a column of values. See PERCENTILE Function.

  • QUARTILE - Calculate a specified quartile for a column of values. See QUARTILE Function.

The following functions use an approximation technique for calculating median, percentile, and quartiles. In some cases, these calculations can be computed faster across large datasets.

Source:

The following table lists each student's height in inches:

Student

Height

1

64

2

65

3

63

4

64

5

62

6

66

7

66

8

65

9

69

10

66

11

73

12

69

13

69

14

61

15

64

16

61

17

71

18

67

19

73

20

66

Transformation:

Use the following transformations to calculate the median height in inches, a specified percentile and the first quartile.

  • The first function uses a precise algorithm which can be slow to execute across large datasets.

  • The second function uses an appropriate approximation algorithm, which is much faster to execute across large datasets.

    • These approximate functions can use an error boundary parameter, which is set to 0.4 (0.4%) across all functions.

Median: This transformation calculates the median value, which corresponds to the 50th percentile.

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

median(heightIn)

Parameter: New column name

'medianIn'

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

approximatemedian(heightIn, 0.4)

Parameter: New column name

'approxMedianIn'

Percentile: This transformation calculates the 68th percentile.

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

percentile(heightIn, 68, linear)

Parameter: New column name

'percentile68In'

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

approximatepercentile(heightIn, 68, 0.4)

Parameter: New column name

'approxPercentile68In'

Quartile: This transformation calculates the first quartile, which corresponds to the 25th percentile.

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

quartile(heightIn, 1, linear)

Parameter: New column name

'percentile25In'

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

approximatequartile(heightIn, 1, 0.4)

Parameter: New column name

'approxPercentile25In'

Results:

studentId

heightIn

approxPercentile25In

percentile25In

approxPercentile68In

percentile68In

approxMedianIn

medianIn

1

64

64

64

67.1

66.92

66

66

2

65

64

64

67.1

66.92

66

66

3

63

64

64

67.1

66.92

66

66

4

64

64

64

67.1

66.92

66

66

5

62

64

64

67.1

66.92

66

66

6

66

64

64

67.1

66.92

66

66

7

66

64

64

67.1

66.92

66

66

8

65

64

64

67.1

66.92

66

66

9

69

64

64

67.1

66.92

66

66

10

66

64

64

67.1

66.92

66

66

11

73

64

64

67.1

66.92

66

66

12

69

64

64

67.1

66.92

66

66

13

69

64

64

67.1

66.92

66

66

14

61

64

64

67.1

66.92

66

66

15

64

64

64

67.1

66.92

66

66

16

61

64

64

67.1

66.92

66

66

17

71

64

64

67.1

66.92

66

66

18

67

64

64

67.1

66.92

66

66

19

73

64

64

67.1

66.92

66

66

20

66

64

64

67.1

66.92

66

66

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