Hi Experts, I have a data like mentioned below. Where in, I want to add an additional category called channel, which is a break up sale type for a day. The problem here is, the channel type is not fix count for a store, it varies 4 to 6 and depends upon store to store so how can I manage the sale for a day on inclusion of this Channel type. We can assume all six channel type as A, B, C, D, E, F. Earlier I added Day Part which was a fix count so we just devided by 4 on the sale value to balance the store-wise sale for a day. Please advise and help me as I have huge pressure to meet the deadlines. Regards Rahul Date assetType Region City State Store DAYPART DAYPARTID ADS_DAY ADS_MONTH ADS_YEAR 18-May-15 High Street North & Central Delhi Delhi 1001 Breakfast 1 0 51427.12 377531.35 18-May-15 High Street North & Central Delhi Delhi 1001 Lunch 2 60754 1226183.81 9910780.29 18-May-15 High Street North & Central Delhi Delhi 1001 Snack 3 92030.22 1624105.49 14714132.77 18-May-15 High Street North & Central Delhi Delhi 1001 Dinner 4 78326.5 1579755.5 11341499.65 18-May-15 High Street South Hyderabad Andhra Pradesh 1002 Breakfast 1 0 2919.26 25772.72 18-May-15 High Street South Hyderabad Andhra Pradesh 1002 Lunch 2 18289.86 412083.51 3318900.01 18-May-15 High Street South Hyderabad Andhra Pradesh 1002 Snack 3 28888.02 542433.74 4254478.99 18-May-15 High Street South Hyderabad Andhra Pradesh 1002 Dinner 4 29440.27 764147.1 5787352.55 18-May-15 High Street South Hyderabad Andhra Pradesh 1003 Breakfast 1 253 2534 9177.05 18-May-15 High Street South Hyderabad Andhra Pradesh 1003 Lunch 2 32509.08 511543.61 3947812.33 18-May-15 High Street South Hyderabad Andhra Pradesh 1003 Snack 3 39483.37 671119.98 5237376.17 18-May-15 High Street South Hyderabad Andhra Pradesh 1003 Dinner 4 36658.14 825789.63 6297839.63 18-May-15 High Street South Hyderabad Andhra Pradesh 1004 Breakfast 1 214 1236.93 8800.36 18-May-15 High Street South Hyderabad Andhra Pradesh 1004 Lunch 2 16821.72 255253.94 2122059.36 18-May-15 High Street South Hyderabad Andhra Pradesh 1004 Snack 3 19188.65 367893.14 3004546.54 18-May-15 High Street South Hyderabad Andhra Pradesh 1004 Dinner 4 30749.51 522403.79 3986165.71 18-May-15 High Street South Hyderabad Andhra Pradesh 1005 Breakfast 1 299 1546 15029.91 18-May-15 High Street South Hyderabad Andhra Pradesh 1005 Lunch 2 20776.37 465879.18 3896834.88 18-May-15 High Street South Hyderabad Andhra Pradesh 1005 Snack 3 29085.13 584998.16 4474962.43 18-May-15 High Street South Hyderabad Andhra Pradesh 1005 Dinner 4 39734.47 734959 5464303.32 18-May-15 IT Park South Bangalore Karnataka 1008 Breakfast 1 0 217 27646.5 18-May-15 IT Park South Bangalore Karnataka 1008 Lunch 2 24701.35 527201.1 4423561.8 18-May-15 IT Park South Bangalore Karnataka 1008 Snack 3 18778.25 406638.9 3081668.05 18-May-15 IT Park South Bangalore Karnataka 1008 Dinner 4 21557.2 491405.55 3949460.35 18-May-15 Mall North & Central Delhi Delhi 1009 Breakfast 1 0 0 59 18-May-15 Mall North & Central Delhi Delhi 1009 Lunch 2 46292.8 989138.36 7339227.45 18-May-15 Mall North & Central Delhi Delhi 1009 Snack 3 75595.36 1513032.78 12696425.84 18-May-15 Mall North & Central Delhi Delhi 1009 Dinner 4 85261.88 1884253.69 14383477.62 18-May-15 High Street South Bangalore Karnataka 1010 Breakfast 1 0 -312.5 7402.5 18-May-15 High Street South Bangalore Karnataka 1010 Lunch 2 26716.2 578170.25 4182295.3 18-May-15 High Street South Bangalore Karnataka 1010 Snack 3 27725.2 712407.92 4537838.22 18-May-15 High Street South Bangalore Karnataka 1010 Dinner 4 34050.2 795203.45 5621502.9 18-May-15 Drive Thru South Hyderabad Andhra Pradesh 1012 Breakfast 1 0 5956.93 35407.19
... View more