Two datasets

[jibyjacob]

I have two datasets for Feb and March 2016 with same varaibles. I need to bring in values from four vairables in feb dataset to march. without changing other March data. Can you please help.

Can i join the tables?

for example..

[Reeza]

Please post sample data and expected output. We can make guesses but it's easier if you detail your problem as much as possible. 

[jibyjacob]

Feb data

Conditional_Format_BD	Conditional_Format_EP	Conditional_Format_CR	Conditional_Format_IN
0	0	0	0
0	1	0	0
0	0	0	0

March data

Conditional_Format_BD	Conditional_Format_EP	Conditional_Format_CR	Conditional_Format_IN
0	0	0	0
0	0	0	0
0	0	0	0

These are the values i need to bring in from previous month.. Other values in march should not be changed ( I mean other varaibles which I am not showing here) . I will be creating a macro vaiable for prev and Curr month..

[jibyjacob]

Hi Reeza

Did you get a chance to check? Appreciate your help

[Quentin]

What do you mean by "bring in" values. Given the sample data you posted from Feb and March, what is the output dataset you Want? Would it have the same for variables, with 6 records? So do you want to append these files, or do you want something else?

[jibyjacob]

dataset looks like this. I need to copy last four varaible values from Feb to March

Date_Report	DD	SS	EE	XX	Conditional_Format_BD	Conditional_Format_EP	Conditional_Format_CR	Conditional_Format_IN
29/02/2016	11383101.15	13105123.62	8318579.66	2706532.97	0	0	0	0
29/02/2016	1730.8	1730.8			0	0	0	0
29/02/2016	11386872	13110942.78	8322104.77	2716298.05	0	1	0	0
29/02/2016	11384831.95	13110781.22	8322104.77	2716298.05	0	1	0	0
29/02/2016	5482757.32	6377402.86	2421942.79	278172.26	0	0	0	0
29/02/2016	-3639	-3639			0	0	0	0
29/02/2016	5479118.32	6374998.997	2421942.79	279848.8	1	1	0	0
29/02/2016	5478024.32	6374996.928	2421942.79	279848.8	0	1	0	0
29/02/2016	2737152.6	3667196.94	2871919.48	-789862.87	0	0	0	0
29/02/2016	90.81	90.81			0	0	0	0
29/02/2016	2737242.286	3669005.514	2871919.48	-789862.87	1	1	0	0
29/02/2016	2737243.41	3668931.26	2871919.48	-789862.87	0	1	0	0
29/02/2016	1479461.27	2511383.61	1250537.37	449979.07	0	0	0	0
29/02/2016	-2289.72	-2289.72			0	0	0	0
29/02/2016	1477171.61	2509374.885	1250412.37	449979.07	1	1	0	0
29/02/2016	1477171.55	2509375	1250412.37	449979.07	0	1	0	0
29/02/2016	34909728	45497720.69			0	0	0	0
29/02/2016	34909734	45495069.95			0	0	0	0
29/02/2016	7394492	8251938.9			0	0	0	0
29/02/2016	7394419	8261482.89			0	0	0	0
29/02/2016	14925	722945.45			0	0	0	0
29/02/2016	14925	724995.3723			0	1	0	0
29/02/2016	6277864	3677231.33			0	0	0	0
29/02/2016	6277489	3663867.51			0	0	0	0
29/02/2016	494216	324496.1			0	0	0	0
29/02/2016	494846	324158.48			0	0	0	0
29/02/2016	24583	23430.48			0	0	0	0
29/02/2016	24583	23593.27			0	1	0	0
29/02/2016	209964	313892.01			0	0	0	0
29/02/2016	209964	314443.73			0	1	0	0
29/02/2016			1736807.67	-398776.51	0	0	0	0
29/02/2016			1632158.83	-426445.22	0	0	0	0
31/03/2016	12882827.23	14113074.33	10304456.77	-2532468.36	0	0	0	0
31/03/2016	11101.21	11101.21			0	0	0	0
31/03/2016	12893926.19	14121171.89	10324971.84	-2480644.94	0	0	0	0
31/03/2016	12893928.44	14121172.19	10324971.84	-2480644.94	0	0	0	0
31/03/2016	5971097.27	6865585.26	2719493.66	1234459.3	0	0	0	0
31/03/2016	-2662.7	-2662.7			0	0	0	0
31/03/2016	5968434.57	6858028.355	2719493.66	1234312	0	0	0	0
31/03/2016	5968434.57	6858118.839	2719493.66	1234312	0	0	0	0
31/03/2016	3644079.83	3958831.83	3305972.27	-392962.23	0	0	0	0
31/03/2016	584	584			0	0	0	0
31/03/2016	3644663.188	3960652.543	3305913.27	-392962.23	0	0	0	0
31/03/2016	3644663.83	3960573.117	3305913.27	-392962.23	0	0	0	0
31/03/2016	2186415.17	2699268.08	1447707.98	-689443.57	0	0	0	0
31/03/2016	-2893.54	-2893.54			0	0	0	0
31/03/2016	2183521.533	2696806.303	1447432.98	-689443.57	0	0	0	0
31/03/2016	2183521.63	2696806.402	1447432.98	-689443.57	0	0	0	0
31/03/2016	41686666	48893864.84			0	0	0	0
31/03/2016	41687129	48893720.46			0	0	0	0
31/03/2016	8234240	8872781.99			0	0	0	0
31/03/2016	8234240	8859971.11			0	0	0	0
31/03/2016	2484	723241.79			0	0	0	0
31/03/2016	2548	718241.4833			0	0	0	0
31/03/2016	12234776	4634086.1			0	0	0	0
31/03/2016	12233803	4611346.67			0	0	0	0
31/03/2016	687651	390287.17			0	0	0	0
31/03/2016	688978	390056.16			0	0	0	0
31/03/2016	20050	24900.19			0	0	0	0
31/03/2016	20050	25249.07			0	0	0	0
31/03/2016	222388	334664.78			0	0	0	0
31/03/2016	222388	333513.58			0	0	0	0
31/03/2016			1483721.24	-33802.8	0	0	0	0
31/03/2016			1397097.79	-74444.09	0	0	0	0

[Quentin]

I'm sorry, I still don't understand what you want to do.  Often it helps to post sample data. If you have two datasets (Feb and March) as inputs, and you have a desired output dataset (WANT), I suggest you post all three.

That is, given a dataset FEB and a dataset MARCH as below (show 5-10 records from each), I want to create a dataset WANT as below (show all records and all varaibles that result from combining FEB and MARCH in the way you want).

If you clearly define the sample inputs and output, people should be better able to help.

[Reeza]

How do you know which row in your Feb dataset line up with which row in Mar dataset?