please find below data .this is one customer transactional data in particular bank. if you need example data please take this data for a example.and you should modify as per your requirement because if you want to explain the reconciliation process you need two data sets. DATE CREDIT DEBIT 07/04/2015 500000 0 20/04/2015 25000.00 0 22/04/2015 0 20000.00 25/04/2015 0 3000.00 30/04/2015 0 11722.00 05/05/2015 0 10000.00 05/05/2015 0 70.00 05/05/2015 0 70.00 06/05/2015 0 2100.00 11/05/2015 70.00 0 15/05/2015 0 5500.00 21/05/2015 3400.00 0 25/05/2015 3000.00 0 29/05/2015 6900.00 0 31/05/2015 0 12364.00 01/06/2015 0 5000.00 01/06/2015 0 5000.00 06/06/2015 0 2100.00 09/06/2015 3000.00 0 10/06/2015 0 7000.00 10/06/2015 0 500.00 11/06/2015 500.00 0 12/06/2015 0 500.00 26/06/2015 0 7000.00 27/06/2015 3000.00 0 30/06/2015 0 12227.00 02/07/2015 9000.00 0 06/07/2015 200.00 0 29/07/2015 5000.00 0 31/07/2015 0 12736.00 03/08/2015 70000.00 0 03/08/2015 0 3000.00 04/08/2015 8400.00 0 04/08/2015 0 5000.00 05/08/2015 0 31000.00 10/08/2015 0 2000.00 10/08/2015 0 25000.00 10/08/2015 25000.00 0 10/08/2015 0 25000.00 11/08/2015 0 1000.00 14/08/2015 0 1500.00 14/08/2015 25000.00 0 17/08/2015 0 5000.00 24/08/2015 0 5000.00 25/08/2015 42000.00 0 26/08/2015 40000.00 0 26/08/2015 10000.00 0 26/08/2015 0 53000.00 27/08/2015 0 31700.00 27/08/2015 0 12000.00 31/08/2015 8000.00 0 31/08/2015 0 12443.00 08/09/2015 3000.00 0 15/09/2015 0 30.00 15/09/2015 0 11000.00 30/09/2015 0 12272.00 05/10/2015 20000.00 0 06/10/2015 0 4000.00 10/10/2015 0 3000.00 14/10/2015 20000.00 0 14/10/2015 0 20000.00 16/10/2015 6500.00 0 17/10/2015 0 6000.00 17/10/2015 0 197.00 23/10/2015 10500.00 0 26/10/2015 0 11500.00 27/10/2015 8000.00 0 27/10/2015 0 3000.00 28/10/2015 0 1800.00 28/10/2015 0 1200.00 28/10/2015 0 70.00 30/10/2015 0 1300.00 31/10/2015 0 12726.00 02/11/2015 12000.00 0 26/11/2015 24500.00 0 30/11/2015 0 24000.00 30/11/2015 0 12293.00 02/12/2015 56000.00 0 03/12/2015 0 13000.00 04/12/2015 0 31000.00 05/12/2015 19000.00 0 05/12/2015 0 19000.00 31/12/2015 0 12711.00 04/01/2016 20000.00 0 05/01/2016 0 716.00 06/01/2016 0 6500.00 07/01/2016 0 99.00 20/01/2016 24000.00 0 21/01/2016 0 3000.00 23/01/2016 0 100.00 25/01/2016 0 20000.00 26/01/2016 0 300.00 27/01/2016 20500.00 0 27/01/2016 5000.00 0 27/01/2016 0 25000.00 28/01/2016 0 1000.00 31/01/2016 0 12921.00 01/02/2016 19000.00 0 04/02/2016 9000.00 0 04/02/2016 0 716.00 06/02/2016 0 10000.00 06/02/2016 0 4500.00 06/02/2016 0 100.00 29/02/2016 0 12060.00 03/03/2016 0 14312.00 16/03/2016 13000.00 0 31/03/2016 0 12713.00 20/04/2016 22000.00 0
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