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Data Exel / Table
Item No | Amount | Dates | Main Item |
0010 | 265.61 | 31-March-2023 | Banana |
0014 | 383.13 | 31-March-2023 | Banana |
0015 | 180.23 | 31-March-2023 | Banana |
0017 | 203.75 | 31-March-2023 | Banana |
0039 | 214.21 | 31-March-2023 | Banana |
0044 | 149.86 | 31-March-2023 | Banana |
0091 | 320.46 | 31-March-2023 | Banana |
0111 | 121.48 | 31-March-2023 | Banana |
0113 | 200.26 | 31-March-2023 | Banana |
0122 | 132.47 | 31-March-2023 | Banana |
0128 | 90.66 | 31-March-2023 | Banana |
0136 | 77.86 | 31-March-2023 | Banana |
0137 | 110.17 | 31-March-2023 | Banana |
0157 | 52.41 | 31-March-2023 | Banana |
0158 | 61.59 | 31-March-2023 | Banana |
0010 | 264.46 | 31-March-2023 | Retail |
0014 | 304.82 | 31-March-2023 | Retail |
0015 | 174.67 | 31-March-2023 | Retail |
0017 | 186.86 | 31-March-2023 | Retail |
0039 | 214.21 | 31-March-2023 | Retail |
0044 | 149.50 | 31-March-2023 | Retail |
0091 | 317.04 | 31-March-2023 | Retail |
0111 | 120.85 | 31-March-2023 | Retail |
0113 | 200.26 | 31-March-2023 | Retail |
0122 | 106.91 | 31-March-2023 | Retail |
0128 | 90.61 | 31-March-2023 | Retail |
0136 | 77.86 | 31-March-2023 | Retail |
0137 | 110.17 | 31-March-2023 | Retail |
0157 | 52.41 | 31-March-2023 | Retail |
0158 | 61.59 | 31-March-2023 | Retail |
0010 | 270.57 | 30-April-2023 | Banana |
0014 | 376.16 | 30-April-2023 | Banana |
0015 | 184.73 | 30-April-2023 | Banana |
0017 | 209.52 | 30-April-2023 | Banana |
0039 | 218.99 | 30-April-2023 | Banana |
0044 | 153.78 | 30-April-2023 | Banana |
0091 | 331.14 | 30-April-2023 | Banana |
0111 | 123.00 | 30-April-2023 | Banana |
0113 | 204.25 | 30-April-2023 | Banana |
0122 | 139.32 | 30-April-2023 | Banana |
0128 | 90.43 | 30-April-2023 | Banana |
0136 | 78.68 | 30-April-2023 | Banana |
0137 | 113.37 | 30-April-2023 | Banana |
0157 | 51.18 | 30-April-2023 | Banana |
0158 | 63.20 | 30-April-2023 | Banana |
0010 | 268.28 | 30-April-2023 | Retail |
0014 | 322.93 | 30-April-2023 | Retail |
0015 | 179.35 | 30-April-2023 | Retail |
0017 | 194.84 | 30-April-2023 | Retail |
0039 | 218.99 | 30-April-2023 | Retail |
0044 | 153.64 | 30-April-2023 | Retail |
0091 | 321.59 | 30-April-2023 | Retail |
0111 | 122.66 | 30-April-2023 | Retail |
0113 | 204.25 | 30-April-2023 | Retail |
0122 | 114.12 | 30-April-2023 | Retail |
0128 | 90.42 | 30-April-2023 | Retail |
0136 | 78.68 | 30-April-2023 | Retail |
0137 | 113.37 | 30-April-2023 | Retail |
0157 | 51.18 | 30-April-2023 | Retail |
0158 | 63.20 | 30-April-2023 | Retail |
0010 | 269.79 | 31-May-2023 | Banana |
0014 | 483.19 | 31-May-2023 | Banana |
0015 | 176.85 | 31-May-2023 | Banana |
0017 | 225.53 | 31-May-2023 | Banana |
0039 | 221.21 | 31-May-2023 | Banana |
0044 | 158.10 | 31-May-2023 | Banana |
0091 | 320.64 | 31-May-2023 | Banana |
0111 | 128.08 | 31-May-2023 | Banana |
0113 | 197.06 | 31-May-2023 | Banana |
0122 | 169.61 | 31-May-2023 | Banana |
0128 | 85.24 | 31-May-2023 | Banana |
0136 | 83.05 | 31-May-2023 | Banana |
0137 | 116.30 | 31-May-2023 | Banana |
0157 | 51.16 | 31-May-2023 | Banana |
0158 | 61.40 | 31-May-2023 | Banana |
0010 | 264.70 | 31-May-2023 | Retail |
0014 | 318.27 | 31-May-2023 | Retail |
0015 | 175.69 | 31-May-2023 | Retail |
0017 | 193.69 | 31-May-2023 | Retail |
0039 | 221.21 | 31-May-2023 | Retail |
0044 | 157.93 | 31-May-2023 | Retail |
0091 | 319.40 | 31-May-2023 | Retail |
0111 | 127.96 | 31-May-2023 | Retail |
0113 | 197.06 | 31-May-2023 | Retail |
0122 | 136.76 | 31-May-2023 | Retail |
0128 | 85.22 | 31-May-2023 | Retail |
0136 | 83.05 | 31-May-2023 | Retail |
0137 | 116.27 | 31-May-2023 | Retail |
0157 | 51.16 | 31-May-2023 | Retail |
0158 | 61.40 | 31-May-2023 | Retail |
Output Has to be in Matrix (we Can have any Date after 31st March 2023)
Row Labels | 31-March-2023 | 30-April-2023 | 31-May-2023 | Diff may _ Mar | Diff Apr - Mar | Diff May - Apr |
Banana | 2564.15 | 2608.32 | 2747.21 | |||
0010 | 265.61 | 270.57 | 269.79 | |||
0014 | 383.13 | 376.16 | 483.19 | |||
0015 | 180.23 | 184.73 | 176.85 | |||
0017 | 203.75 | 209.52 | 225.53 | |||
0039 | 214.21 | 218.99 | 221.21 | |||
0044 | 149.86 | 153.78 | 158.1 | |||
0091 | 320.46 | 331.14 | 320.64 | |||
0111 | 121.48 | 123 | 128.08 | |||
0113 | 200.26 | 204.25 | 197.06 | |||
0122 | 132.47 | 139.32 | 169.61 | |||
0128 | 90.66 | 90.43 | 85.24 | |||
0136 | 77.86 | 78.68 | 83.05 | |||
0137 | 110.17 | 113.37 | 116.3 | |||
0157 | 52.41 | 51.18 | 51.16 | |||
0158 | 61.59 | 63.2 | 61.4 | |||
Retail | 2432.22 | 2497.5 | 2509.77 | |||
0010 | 264.46 | 268.28 | 264.7 | |||
0014 | 304.82 | 322.93 | 318.27 | |||
0015 | 174.67 | 179.35 | 175.69 | |||
0017 | 186.86 | 194.84 | 193.69 | |||
0039 | 214.21 | 218.99 | 221.21 | |||
0044 | 149.5 | 153.64 | 157.93 | |||
0091 | 317.04 | 321.59 | 319.4 | |||
0111 | 120.85 | 122.66 | 127.96 | |||
0113 | 200.26 | 204.25 | 197.06 | |||
0122 | 106.91 | 114.12 | 136.76 | |||
0128 | 90.61 | 90.42 | 85.22 | |||
0136 | 77.86 | 78.68 | 83.05 | |||
0137 | 110.17 | 113.37 | 116.27 | |||
0157 | 52.41 | 51.18 | 51.16 | |||
0158 | 61.59 | 63.2 | 61.4 |
Solved! Go to Solution.
depends on how many comparisons you want. If it is only the largest and smallest dates then yes.
Can we do it with out filters
depends on how many comparisons you want. If it is only the largest and smallest dates then yes.
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