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This function finds if the input timestamp falls within the year of the date the script was last loaded, and returns True if it does, False if it does not.
In Qlik Sense, the Boolean true value is represented by -1, and the false value is represented by 0.
If none of the optional parameters
are used, the year to date means any date within one calendar year from
January 1 up to and including the date of the last script execution.
In other words, the yeartodate() function, when triggered with no additional parameters, is used to evaluate a timestamp and return a Boolean result based on whether the date occurred within the calendar year up to and including the date that the reload took place.
However, it is also possible to supersede the start date of the year using the firstmonth argument, as well as to make comparisons with preceding or following years using the yearoffset argument.
Finally, in instances of historical datasets, the yeartodate() function provides a parameter to set todaydate, which will instead compare the timestamp to the calendar year up to and including the date provided in the todaydate argument.
Arguments
Argument
Description
timestamp
The timestamp to evaluate, for example '10/12/2012'.
yearoffset
By specifying a yearoffset, yeartodate returns True for the same period in another year. A negative yearoffset indicates a previous year, a positive offset a future year. The most recent year-to-date is achieved by specifying yearoffset = -1. If omitted, 0 is assumed.
firstmonth
By specifying a firstmonth
between 1 and 12 (1 if omitted), the beginning of the year may be moved
forward to the first day of any month. For example, if you want to work with a
fiscal year beginning on May 1, specify firstmonth
= 5. A value of 1 would indicate a fiscal year starting on January 1, and a value of 12 would indicate a fiscal year starting on December 1.
todaydate
By specifying a todaydate (timestamp
of the last script execution if omitted) it is possible to move the day used as
the upper boundary of the period.
When to use it
The yeartodate() function returns a Boolean result. Typically, this type of function will be used as a condition in an if expression. This would return an aggregation or calculation dependent on whether the evaluated date occurred in the year up to and including the last reload date of the application.
For example, the YearToDate() function can be used to identify all equipment manufactured so far in the current year.
The following examples assume last reload time = 11/18/2011.
Function examples
Example
Result
yeartodate( '11/18/2010')
returns False
yeartodate( '02/01/2011')
returns True
yeartodate( '11/18/2011')
returns True
yeartodate( '11/19/2011')
returns False
yeartodate( '11/19/2011', 0, 1, '12/31/2011')
returns True
yeartodate( '11/18/2010', -1)
returns True
yeartodate( '11/18/2011', -1)
returns False
yeartodate( '04/30/2011', 0, 5)
returns False
yeartodate( '05/01/2011', 0, 5)
returns True
Regional settings
Unless otherwise specified, the examples in this topic use the following date format: MM/DD/YYYY. The date format is specified in the SET DateFormat statement in your data load script. The default date formatting may be different in your system, due to your regional settings and other factors. You can change the formats in the examples below to suit your requirements. Or you can change the formats in your load script to match these examples. For more information, see Modifying regional settings for apps and scripts.
Default regional settings in apps are based on the user profile. These regional format settings are not related to the language displayed in the Qlik Cloud user interface. Qlik Cloud will be displayed in the same language as the browser you are using.
Load the data and open a sheet. Create a new table and add these fields as dimensions:
date
year_to_date
Results table
date
year_to_date
01/10/2020
0
02/28/2020
0
04/09/2020
0
04/16/2020
0
05/21/2020
0
08/14/2020
0
10/07/2020
0
12/05/2020
0
01/22/2021
0
02/03/2021
0
03/17/2021
0
04/23/2021
0
05/04/2021
0
06/30/2021
0
07/26/2021
0
12/27/2021
0
02/02/2022
-1
02/26/2022
-1
03/07/2022
-1
03/11/2022
-1
The year_to_date field is created in the preceding load statement by using the yeartodate() function and passing the date field as the function’s argument.
Because no further parameters are passed into the function, the yeartodate() function initially identifies the reload date and therefore the boundaries for the current calendar year (starting January 1) that will return a Boolean result of TRUE.
Therefore, any transaction that occurs between January 1 and April 26, the reload date, will return a Boolean result of TRUE. Any transaction that occurs before the start of 2022 will return a Boolean result of FALSE.
Example 2 – yearoffset
Overview
Open the Data load editor and add the load script below to a new tab.
The load script contains:
The same dataset and scenario as the first example.
The creation of a field, two_years_prior, that determines which transactions took place a full two years before the calendar year to date.
Load the data and open a sheet. Create a new table and add these fields as dimensions:
date
two_years_prior
Results table
date
two_years_prior
01/10/2020
-1
02/28/2020
-1
04/09/2020
-1
04/16/2020
-1
05/21/2020
0
08/14/2020
0
10/07/2020
0
12/05/2020
0
01/22/2021
0
02/03/2021
0
03/17/2021
0
04/23/2021
0
05/04/2021
0
06/30/2021
0
07/26/2021
0
12/27/2021
0
02/02/2022
0
02/26/2022
0
03/07/2022
0
03/11/2022
0
By using -2 as the yearoffset argument in the yeartodate() function, the function shifts the boundaries of the comparator calendar year segment by a full two years. Initially, the year segment equates to between January 1 and April 26, 2022. The yearoffset argument then offsets this segment to two years prior. The date boundaries will then fall between the January 1 and April 26, 2020.
Therefore, any transaction that occurs between January 1 and April 26, 2020 will return a Boolean result of TRUE. Any transactions that appear before or after this segment will return FALSE.
Example 3 – firstmonth
Overview
Open the Data load editor and add the load script below to a new tab.
The load script contains:
The same dataset and scenario as the first example.
The creation of a field, year_to_date, that determines which transactions took place in the calendar year up to the date of the last reload.
In this example, we set the start of the fiscal year to July 1.
Load the data and open a sheet. Create a new table and add these fields as dimensions:
date
year_to_date
Results table
date
year_to_date
01/10/2020
0
02/28/2020
0
04/09/2020
0
04/16/2020
0
05/21/2020
0
08/14/2020
0
10/07/2020
0
12/05/2020
0
01/22/2021
0
02/03/2021
0
03/17/2021
0
04/23/2021
0
05/04/2021
0
06/30/2021
0
07/26/2021
-1
12/27/2021
-1
02/02/2022
-1
02/26/2022
-1
03/07/2022
-1
03/11/2022
-1
In this instance, because the firstmonth argument of 7 is used in the yeartodate() function, it sets the first day of the year to July 1, and the last day of the year to June 30.
Therefore, any transaction that occurs between July 1, 2021 and April 26, 2022, the reload date, will return a Boolean result of TRUE. Any transaction that occurs before July 1, 2021 will return a Boolean result of FALSE.
Example 4 – todaydate
Overview
Open the Data load editor and add the load script below to a new tab.
The load script contains:
The same dataset and scenario as the first example.
The creation of a field, year_to_date, that determines which transactions took place in the calendar year up to the date of the last reload.
However, in this example, we need to identify all transactions that took place in the calendar year up to and including March 1, 2022.
Load the data and open a sheet. Create a new table and add these fields as dimensions:
date
year_to_date
Results table
date
year_to_date
01/10/2020
0
02/28/2020
0
04/09/2020
0
04/16/2020
0
05/21/2020
0
08/14/2020
0
10/07/2020
0
12/05/2020
0
01/22/2021
0
02/03/2021
0
03/17/2021
0
04/23/2021
0
05/04/2021
0
06/30/2021
0
07/26/2021
0
12/27/2021
0
02/02/2022
-1
02/26/2022
-1
03/07/2022
0
03/11/2022
0
In this instance, because the todaydate argument of 03/01/2022 is used in the yeartodate() function, it sets the end boundary of the comparator calendar year segment to March 1, 2022. It is critical to provide the firstmonth parameter (between 1 and 12); otherwise the function will return null results.
Therefore, any transaction that occurs between January 1, 2022 and March 1, 2022, the todaydate parameter, will return a Boolean result of TRUE. Any transaction that occurs before January 1, 2022 or after March 1, 2022 will return a Boolean result of FALSE.
The load script contains the same dataset and scenario as the first example.
However, in this example, the unchanged dataset is loaded into the application. The calculation that determines which transactions took place in the calendar year up to the date of the last reload is created as a measure in a chart object of the application.
Load the data and open a sheet. Create a new table and add this field as a dimension: date.
Add the following measure:
=yeartodate(date)
Results table
date
=yeartodate(date)
01/10/2020
0
02/28/2020
0
04/09/2020
0
04/16/2020
0
05/21/2020
0
08/14/2020
0
10/07/2020
0
12/05/2020
0
01/22/2021
0
02/03/2021
0
03/17/2021
0
04/23/2021
0
05/04/2021
0
06/30/2021
0
07/26/2021
0
12/27/2021
0
02/02/2022
-1
02/26/2022
-1
03/07/2022
-1
03/11/2022
-1
The year_to_date measure is created in the chart object by using the yeartodate() function and passing the date field as the function’s argument.
Because no further parameters are passed into the function, the yeartodate() function initially identifies the reload date, and therefore the boundaries for the current calendar year (starting January 1) that will return a Boolean result of TRUE.
Any transaction that occurs between January 1 and April 26, the reload date, will return a Boolean result of TRUE. Any transaction that occurs before the start of 2022 will return a Boolean result of FALSE.
Example 6 – Scenario
Overview
Open the Data load editor and add the load script below to a new tab.
The load script contains:
A dataset containing a set of transactions between 2020 and 2022, which is loaded into a table called Transactions.
The date field provided in the DateFormat system variable (MM/DD/YYYY) format.
The end user would like a KPI object that presents the total sales for the equivalent period in 2021 as the current year to date as at the last reload time.
At the time of writing, the date is June 16, 2022.
Create the following aggregation measure to calculate total sales:
=sum(if(yeartodate(date,-1),amount,0))
Set the measure’s Number formatting to Money.
The yeartodate() function returns a Boolean value when evaluating the dates of each transaction ID. Because the reload took place on June 16, 2022, the yeartodate function segments the year period to between 01/01/2022 and 06/16/2022. However, since a period_no value of -1 was used in the function, these boundaries are then shifted to the previous year. Therefore, for any transaction that occurs between 01/01/2021 and 06/16/2021, the yeartodate() function returns a Boolean value of TRUE and sums the amount.
Aggregation
An aggregation is a calculation using multiple records in the source tables. Often it is a single field aggregated with a function such as sum, count, min, max, or average. For example, the sum of sales.
The term dataset is sometimes synonymous with table. It can refer to the original source table, the table after undergoing transformations, or the fact and dimension tables in a data mart.
It can also refer to a logical table, where there are several instance tables and views:
Current data
History, which holds previous versions of the table
A field contains values, loaded from a data source. At a basic level, a field corresponds to a column in a table. Fields are used to create dimensions and measures in visualizations.
A preceding load is a script construct that allows you to load from the following LOAD or SELECT statement without specifying that source. Preceding loads are often faster than resident loads.
The load script is a sequence of statements that defines what data to load and how to link the different loaded tables. It can be generated with the Data manager, or with the Data load editor, where it also can be viewed and edited.
A measure is a calculation base on one ore more aggregations. For example, the sum of sales is a single aggregation, while the sum of sales divided by the count of customers is a measure based on two aggregations.