# ROUND Function

Rounds input value to the nearest integer. Input can be an Integer, a Decimal, a column reference, or an expression. Optional second argument can be used to specify the number of digits to which to round.

• When rounding to nearest integer, decimal values that are X.5 or more are rounded to X+1.

Anmerkung

This function changes the actual data of the value. If you just want to change how the data is formatted for display, please use the NUMFORMAT function. See NUMFORMAT Function.

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

Numeric literal example:

round(2.5)

Output: Rounds the input value to the nearest integer: 3.

Expression example:

round(MyValue + 2.5)

Output: Rounds to the nearest integer the sum of 2.5 and the value in the MyValue column.

Numeric literal example:

round(pi(),4)

Output: Rounds pi to four decimal points: 3.1416.

## Syntax and Arguments

round(numeric_value, integer_value)

Argument

Required?

Data Type

Description

numeric_value

Y

string, decimal, or integer

Name of column or Decimal or Integer literal to apply to the function

integer_value

N

integer

Number of digits to which to round.

• Default is 0, which rounds to the nearest integer.

• Negative integer values can be applied.

### numeric_value

Name of the column, numeric literal, or numeric expression.

• Missing input values generate missing results.

• Literal numeric values should not be quoted. Quoted values are treated as strings.

• Multiple columns and wildcards are not supported.

Usage Notes:

Required?

Data Type

Example Value

Yes

String (column reference) or Integer or Decimal literal

2.5

### integer_value

Number of digits to which to round the first argument of the function.

• Positive values values truncate to the right of the decimal point.

• Negative values truncate to the left of the decimal point.

• Missing input values generate missing results.

Usage Notes:

Required?

Data Type

Example Value

No

Integer literal

3

## Examples

Tipp

### Example - Exponential functions

This example demonstrates how the rounding functions work together.

Functions:

Item

Description

FLOOR Function

Computes the largest integer that is not more than the input value. Input can be an Integer, a Decimal, a column reference, or an expression.

CEILING Function

Computes the ceiling of a value, which is the smallest integer that is greater than the input value. Input can be an Integer, a Decimal, a column reference, or an expression.

ROUND Function

Rounds input value to the nearest integer. Input can be an Integer, a Decimal, a column reference, or an expression. Optional second argument can be used to specify the number of digits to which to round.

MOD Function

Returns the modulo value, which is the remainder of dividing the first argument by the second argument. Equivalent to the % operator.

Source:

rowNum

X

1

-2.5

2

-1.2

3

0

4

1

5

1.5

6

2.5

7

3.9

8

4

9

4.1

10

11

Transformation:

 Transformation Name New formula Single row formula FLOOR(X) 'floorX'
 Transformation Name New formula Single row formula CEILING(X) 'ceilingX'
 Transformation Name New formula Single row formula ROUND (X) 'roundX'
 Transformation Name New formula Single row formula (X % 2) 'modX'

Results:

rowNum

X

modX

roundX

ceilingX

floorX

1

-2.5

-2

-2

-3

2

-1.2

-1

-1

-2

3

0

0

0

0

0

4

1

1

1

1

1

5

1.5

2

2

1

6

2.5

3

3

2

7

3.9

4

4

3

8

4

0

4

4

4

9

4.1

4

5

4

10

11

1

11

11

11

### Example - RANDBETWEEN and PI and ROUND functions

This example illustrates how you can apply functions to generate random numeric data in your dataset.

Functions:

Item

Description

RANDBETWEEN Function

Generates a random integer between a low and a high number. Two inputs may be Integer or Decimal types, functions returning these types, or column references.

PI Function

The PI function generates the value of pi to 15 decimal places: 3.1415926535897932.

ROUND Function

Rounds input value to the nearest integer. Input can be an Integer, a Decimal, a column reference, or an expression. Optional second argument can be used to specify the number of digits to which to round.

TRUNC Function

Removes all digits to the right of the decimal point for any value. Optionally, you can specify the number of digits to which to round. Input can be an Integer, a Decimal, a column reference, or an expression.

POW Function

Computes the value of the first argument raised to the value of the second argument.

Source:

In the following example, a company produces 10 circular parts, the size of which is measured in each product's radius in inches.

prodId

p001

1

p002

2

p003

3

p004

4

p005

5

p006

6

p007

7

p008

8

p009

9

p010

10

Based on the above data, the company wants to generate some additional sizing information for these circular parts, including the generation of two points along each part's circumference where quality stress tests can be applied.

Transformation:

To begin, you can use the following steps to generate the area and circumference for each product, rounded to three decimal points:

 Transformation Name New formula Single row formula ROUND(PI() * (POW(radius_in, 2)), 3) 'area_sqin'
 Transformation Name New formula Single row formula ROUND(PI() * (2 * radius_in), 3) 'circumference_in'

For quality purposes, the company needs two tests points along the circumference, which are generated by calculating two separate random locations along the circumference. Since the RANDBETWEEN function only calculates using Integer values, you must first truncate the values from circumference_in:

 Transformation Name New formula Single row formula TRUNC(circumference_in) 'trunc_circumference_in'

Then, you can calculate the random points using the following:

 Transformation Name New formula Single row formula RANDBETWEEN(0, trunc_circumference_in) 'testPt01_in'
 Transformation Name New formula Single row formula RANDBETWEEN(0, trunc_circumference_in) 'testPt02_in'

Results:

After the trunc_circumference_in column is dropped, the data should look similar to the following:

prodId

area_sq_in

circumference_in

testPt01_in

testPt02_in

p001

1

3.142

6.283

5

5

p002

2

12.566

12.566

3

3

p003

3

28.274

18.850

13

13

p004

4

50.265

25.133

24

24

p005

5

78.540

31.416

0

0

p006

6

113.097

37.699

15

15

p007

7

153.938

43.982

11

11

p008

8

201.062

50.265

1

1

p009

9

254.469

56.549

29

29

p010

10

314.159

62.832

21

21