subset a dataset based on variable obs of another dataset

[d0816]

I have 3 datasets.

1. Based on 3 variables (ID, date and company) in dataset 1, I want to subset a dataset 2 and create new dataset (Char) containing matched observations of common variables

2. Based on 2 variables (ID and date) in dataset 1, I want to subset dataset 3 following a logic that if date in dataset 1 falls at or in between the begin date and end date, then keep that row in a new dataset (Act)

Dataset 1
ID	date	Company	Type	variable3	variable4
1	Jan-10	a	x
1	May-10	a	y
2	Apr-11	a	x
3	Dec-11	a	x
3	Feb-12	b	y

Dataset 2
ID	date	Company	variable1	variable2
1	Jan-10	a
1	Feb-10	a
1	Mar-10	a
1	Apr-10	a
1	May-10	a
1	Jun-10	a
1	Jul-10	a
1	Aug-10	a
1	Sep-10	a
1	Oct-10	a
1	Nov-10	a
1	Dec-10	a
2	Mar-11	a
2	Apr-11	a
2	May-11	a
2	Jun-11	a
2	Jul-11	a
2	Aug-11	a
2	Sep-11	a
3	Feb-10	a
3	Mar-10	a
3	Apr-10	a
3	May-10	a
3	Jun-10	a
3	Jul-10	a
3	Aug-10	a
3	Sep-10	a
3	Oct-10	a
3	Nov-10	a
3	Dec-10	a
3	Jan-11	a
3	Feb-11	a
3	Mar-11	a
3	Apr-11	a
3	May-11	a
3	Jun-11	a
3	Jul-11	a
3	Aug-11	a
3	Sep-11	a
3	Oct-11	a
3	Nov-11	a
3	Dec-11	a
3	Jan-12	b
3	Feb-12	b
3	Mar-12	b

Dataset 3
ID	Status	Begin date	End date	variable5	variable6
1	c	Jan-10	Apr-10
1	w	May-10	Nov-10
1	t	Dec-10
2	t	Mar-11	May-11
2	c	Jun-11	Sep-11
3	t	Feb-10	Dec-11
3	w	Jan-12

New dataset-Char

ID	date	Company	variable1	variable2
1	Jan-10	a
1	May-10	a
2	Apr-11	a
3	Dec-11	a
3	Feb-12	b

New dataset-Act

ID	Status	Begin date	End date	variable5	variable6
1	c	Jan-10	Apr-10
1	w	May-10	Nov-10
2	t	Mar-11	May-11
3	t	Feb-10	Dec-11
3	w	Jan-12

Any suggestion?

Thanks.

[novinosrin]

Hi  @d0816 Have you tried any look up methods like hash, join, merge etc? 

It seems very straight forward while I am too lazy to type. There are tons of examples you will find on a google search and all you need to do is copy paste

[d0816]

I have done simple merges. But don't know hash or join methods. Can you point me to resource for this method?

[novinosrin]

@d0816 No worries. I don't think your dates are in this monyy format. 

10-Feb

10-Mar

10-Apr 10-Feb 10-Mar 10-Apr

So, do a favor Please provide a better representative sample with real dates to effectively test the condition

between the begin date and end date  

If you could, I will write the code for you.

[d0816]

dates are in month/year format. Let me provide you better sample.

I did try the following to create new dataset Char. I think my date variable in dataset 1 is being read as number and in dataset 2 as character. I am importing excel file and I cant get to read it as both dates.

proc sql noprint;

create table Char as

select distinct a.*

from dataset1 a, dataset2 b

where a.ID = b.ID

and a.date = b.date

;

quit;

[d0816]

dataset 1
ID	date	Company	C Date	R Date	RR Date	Type
1	2017-06	AW	6/5/2017	5/16/2017	7/11/2017	IVA
1	2017-10	MS	10/10/2017	10/3/2017	10/17/2017	GA
2	2016-02	MS	2/25/2016	2/4/2016	3/7/2016	PA
2	2017-07	MS	7/20/2017	7/11/2017	7/25/2017	GA
3	2017-03	AW	3/22/2017	3/5/2017	5/3/2017	IVA
4	2017-09	RS	9/28/2017	9/28/2017	9/28/2017	MH
5	2017-10	RS	10/25/2017	10/25/2017	10/25/2017	MH

ID	date	RYM	Company	place	Most Recent Placement Code
1	2016-01	2016-01	AW	MC	8
1	2016-02	2016-02	AW	MC	8
1	2016-03	2016-03	AW	MC	1
1	2016-04	2016-04	AW	MC	1
1	2016-05	2016-05	AW	MC	2
1	2016-06	2016-06	AW	MC	2
1	2016-07	2016-07	AW	MC	2
1	2016-08	2016-08	AW	MC	2
1	2016-09	2016-09	AW	MC	2
1	2016-10	2016-10	AW	MC	2
1	2016-11	2016-11	AW	MC	2
1	2016-12	2016-12	AW	MC	2
1	2017-01	2017-01	AW	MC	1
1	2017-02	2017-02	AW	MC	1
1	2017-03	2017-03	AW	MC	1
1	2017-04	2017-04	AW	MC	1
1	2017-05	2017-05	AW	MC	1
1	2017-06	2017-06	AW	MC	1
1	2017-07	2017-07	AW	MC	1
1	2017-08	2017-08	MS	MC	1
1	2017-09	2017-09	MS	MC	1
1	2017-10	2017-10	MS	MC	1
1	2017-11	2017-11	MS	MC	1
1	2017-12	2017-12	MS	MC	1
1	2018-01	2018-01	MS	MC	1
1	2018-02	2018-02	MS	MC	1
1	2018-03	2018-03	MS	MC	1
1	2018-04	2018-04	MS	MC	1
2	2016-01	2016-01	MS	MC	1
2	2016-02	2016-02	MS	MC	1
2	2016-03	2016-03	MS	MC	8
2	2016-04	2016-04	MS	MC	8
2	2016-05	2016-05	MS	MC	1
2	2016-06	2016-06	MS	MC	1
2	2016-07	2016-07	MS	MC	1
2	2016-08	2016-08	MS	MC	1
2	2016-09	2016-09	MS	MC	1
2	2016-10	2016-10	MS	MC	1
2	2016-11	2016-11	MS	MC	1
2	2016-12	2016-12	MS	MC	2
2	2017-01	2017-01	MS	MC	1
2	2017-02	2017-02	MS	MC	1
2	2017-03	2017-03	MS	MC	1
2	2017-04	2017-04	MS	MC	1
2	2017-05	2017-05	MS	MC	2
2	2017-06	2017-06	MS	MC	2
2	2017-07	2017-07	MS	MC	2
2	2017-08	2017-08	MS	MC	2
2	2017-09	2017-09	MS	MC	2
2	2017-10	2017-10	MS	MC	2
3	2016-01	2016-01	AW	MC	1
3	2016-02	2016-02	AW	MC	1
3	2016-03	2016-03	AW	MC	1
3	2016-04	2016-04	AW	MC	1
3	2016-05	2016-05	AW	MC	1
3	2016-06	2016-06	AW	MC	1
3	2016-07	2016-07	AW	MC	1
3	2016-08	2016-08	AW	MC	1
3	2016-09	2016-09	AW	MC	1
3	2016-10	2016-10	AW	MC	1
3	2016-11	2016-11	AW	MC	1
3	2017-02	2017-02	AW	MC	1
3	2017-03	2017-03	AW	MC	1
3	2017-04	2017-04	AW	MC	1
3	2017-05	2017-05	AW	MC	1
3	2017-06	2017-06	AW	MC	1
3	2017-07	2017-07	AW	MC	1
3	2017-08	2017-08	AW	MC	1
3	2017-09	2017-09	AW	MC	1
3	2017-10	2017-10	AW	MC	1
3	2017-11	2017-11	AW	MC	1
3	2017-12	2017-12	AW	MC	1
3	2018-01	2018-01	AW	MC	1
3	2018-02	2018-02	AW	MC	1
3	2018-03	2018-03	AW	MC	13
3	2018-04	2018-04	AW	MC	13
4	2016-01	2016-01	RS	MC	1
4	2016-02	2016-02	RS	MC	1
4	2016-03	2016-03	RS	MC	1
4	2016-04	2016-04	RS	MC	1
4	2016-05	2016-05	RS	MC	1
4	2016-06	2016-06	RS	MC	1
4	2016-07	2016-07	RS	MC	1
4	2016-08	2016-08	RS	MC	1
4	2016-09	2016-09	RS	MC	1
4	2016-10	2016-10	RS	MC	1
4	2016-11	2016-11	RS	MC	1
4	2016-12	2016-12	RS	MC	1
4	2017-01	2017-01	RS	MC	1
4	2017-02	2017-02	RS	MC	1
4	2017-03	2017-03	RS	MC	1
4	2017-04	2017-04	RS	MC	1
4	2017-05	2017-05	RS	MC	1
4	2017-06	2017-06	RS	MC	1
4	2017-07	2017-07	RS	MC	1
4	2017-08	2017-08	RS	MC	1
4	2017-09	2017-09	RS	MC	1
4	2017-10	2017-10	RS	MC	1
4	2017-11	2017-11	RS	MC	1
4	2017-12	2017-12	RS	MC	1
4	2018-01	2018-01	RS	MC	1
4	2018-02	2018-02	RS	MC	1
4	2018-03	2018-03	RS	MC	1
4	2018-04	2018-04	RS	MC	1
5	2016-01	2016-01	RS	MC	1
5	2016-02	2016-02	RS	MC	1
5	2016-03	2016-03	RS	MC	1
5	2016-04	2016-04	RS	MC	1
5	2016-05	2016-05	RS	MC	1
5	2016-06	2016-06	RS	MC	1
5	2016-07	2016-07	RS	MC	1
5	2016-08	2016-08	RS	MC	1
5	2016-09	2016-09	RS	MC	1
5	2016-10	2016-10	RS	MC	1
5	2016-11	2016-11	RS	MC	1
5	2016-12	2016-12	RS	MC	1
5	2017-01	2017-01	RS	MC	1
5	2017-02	2017-02	RS	MC	2
5	2017-03	2017-03	RS	MC	2
5	2017-04	2017-04	RS	MC	2
5	2017-05	2017-05	RS	MC	2
5	2017-06	2017-06	RS	MC	2
5	2017-07	2017-07	RS	MC	2
5	2017-08	2017-08	RS	MC	2
5	2017-09	2017-09	RS	MC	2
5	2017-10	2017-10	RS	MC	2
5	2017-11	2017-11	RS	MC	1
5	2017-12	2017-12	RS	MC	1
5	2018-01	2018-01	RS	MC	1
5	2018-02	2018-02	RS	MC	1
5	2018-03	2018-03	RS	MC	1
5	2018-04	2018-04	RS	MC	1

dataset 3
ID	Status	Begin Date	End Date	variable 5
1	c	5/1/2017	6/30/2017	m
1	w	7/1/2017	8/30/2017	m
1	t	9/1/2017		m
2	t	3/1/2017	5/30/2017	f
2	c	6/1/2017	9/30/2017	f
3	t	2/1/2017	12/30/2017	f
3	w	1/1/2018		f

Here are the 3 representative datasets as I have it right now in excel.

Thank you.

[d0816]

excel attachment:

[novinosrin]

@d0816 Thank you for extending that help in providing a better sample.

Please notice here carefully:

Condition: Based on 2 variables (ID and date) in dataset 1, I want to subset dataset 3 following a logic that if date in dataset 1 falls at or in between the begin date and end date, then keep that row in a new dataset (Act)

So when i read the raw file to sas dataset using 

data one;
infile cards truncover;
input ID date :anydtdte21. Company $ CDate :mmddyy10. RDate :mmddyy10. RRDate :mmddyy10. Type $;
format date mmddyy10.;
cards;
1 2017-06 AW 6/5/2017 5/16/2017 7/11/2017 IVA
1 2017-10 MS 10/10/2017 10/3/2017 10/17/2017 GA
2 2016-02 MS 2/25/2016 2/4/2016 3/7/2016 PA
2 2017-07 MS 7/20/2017 7/11/2017 7/25/2017 GA
3 2017-03 AW 3/22/2017 3/5/2017 5/3/2017 IVA
4 2017-09 RS 9/28/2017 9/28/2017 9/28/2017 MH
5 2017-10 RS 10/25/2017 10/25/2017 10/25/2017 MH
;

These year-month dates will revert to

date=06/01/2017
date=10/01/2017
date=02/01/2016
date=07/01/2017
date=03/01/2017
date=09/01/2017
date=10/01/2017

so when we look up dataset1 <->dataset3 using ID key and try to determine  a date value 2017-06 (read as 06/01/2017) between a complete date 

1

c

5/1/2017

6/30/2017

m

will cause serious erroneous results. because we do not know what's the real date value of the year month dates like 2017-06  are?

This is what you need to clarify.