calculate-time-difference

Description

calculate-time-difference adaptor calculates the time difference between two datatable columns (column one - column two), using a specified unit of measurement (defaults to day).

Note that the order of columns selected is important for the output values.

Inputs

data Type: datatable Required: Yes The datatable containing two date/time columns.

column one Type: text Required: Yes The name of the column containing reference date/time values.

column one format Type: text Required: No The format of data in column one based on Unicode Technical Standard #35. If unspecified, defaults to ISO 8601 date/time.

column two Type: text Required: Yes The name of the column containing date/time values.

column two format Type: text Required: No The format of data in value column based on Unicode Technical Standard #35. If unspecified, defaults to ISO 8601 date/time.

difference column Type: text Required: No The name of the new column containing time difference values. If unspecified, defaults to difference.

difference unit Type: text Required: No The unit of time measurement. Possible values are years, quarter, months, weeks, days, hours, minutes, seconds, or milliseconds. If unspecified, defaults to days.

Outputs

data Type: datatable A datatable with the new column added.

Examples

Example 1: Default behaviour.

Inputs:

data:

Sample IDReceived dateSequence date

Sample A

2020-11-01

2020-11-21

Sample B

2020-12-11

2020-12-19

Sample C

2020-12-11

2020-12-11

column one: Sequence date

column one: Received date

Outputs:

data:

Sample IDReceived dateSequence dateProcessing time

Sample A

2020-11-01

2020-11-21

20

Sample B

2020-12-11

2020-12-19

8

Sample C

2020-12-11

2020-12-11

0

-> Calculated the time difference between the two datatable columns Sequence date and Received date.

Use Cases

  • Calculating the time between patient admission to the hospital and the sample date of the first positive sample

  • Calculate a person's age

  • Use pharmaceutical expiry dates to predict potential stock outs

  • Sort or filter data based on time differences

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