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Hi Friends I have Following Datasets
requirements:
1) Format of the data
2. Add 2 slicers on the same page – “Top Customers” slicer and “Date Range” slicer
Top Customers – This slicer contains 3 values – [Top 10, Top 20, Top 30].
If someone clicks on Top 10, only those Customers should get filtered whose Total amount (Offline + Online combined) is falling in Top 10 (by descending order).
Similarly, if Top 20 is clicked, then top 20 customers by total amount should be filtered, etc.
Date Slicer – Create a Date range slicer based on the sale date
Expected Result:
Additional screenshot:
--If someone clicks on “Top 10” in the Top Customers slicer, then, only Top 10 customers by Total Amount should be filtered as shown in the below screenshot
Hi @RAHULBANDI ,
After testing, the data you provided seems to be problematic and does not yield the expected results, can you explain further?
Looking forward to your reply.
Best Regards,
Henry
Data-set for the above scenario:
| Sale Date | Type of Sale | Customer Name | Sale Amount | Units Purchased |
| 1-Jan-22 | Online | Customer19 | 258 | 153 |
| 1-Jan-22 | Online | Customer22 | 2933 | 173 |
| 1-Jan-22 | Online | Customer33 | 10909 | 120 |
| 1-Jan-22 | Online | Customer37 | 3247 | 155 |
| 1-Jan-22 | Online | Customer67 | 1747 | 197 |
| 1-Jan-22 | Online | Customer67 | 6217 | 159 |
| 1-Jan-22 | Online | Customer68 | 1435 | 102 |
| 1-Jan-22 | Offline | Customer68 | 4967 | 135 |
| 1-Jan-22 | Online | Customer8 | 3500 | 184 |
| 2-Jan-22 | Offline | Customer13 | 5657 | 113 |
| 2-Jan-22 | Online | Customer35 | 5180 | 113 |
| 2-Jan-22 | Online | Customer51 | 5614 | 167 |
| 2-Jan-22 | Online | Customer53 | 2379 | 155 |
| 2-Jan-22 | Offline | Customer69 | 2294 | 122 |
| 2-Jan-22 | Online | Customer69 | 8405 | 149 |
| 2-Jan-22 | Offline | Customer69 | 4520 | 102 |
| 2-Jan-22 | Offline | Customer69 | 17307 | 147 |
| 2-Jan-22 | Online | Customer69 | 920 | 170 |
| 2-Jan-22 | Offline | Customer69 | 2909 | 177 |
| 3-Jan-22 | Online | Customer46 | 55536 | 115 |
| 3-Jan-22 | Online | Customer53 | 4280 | 129 |
| 3-Jan-22 | Offline | Customer55 | 9644 | 116 |
| 3-Jan-22 | Offline | Customer70 | 3377 | 185 |
| 3-Jan-22 | Online | Customer70 | 12737 | 162 |
| 3-Jan-22 | Online | Customer70 | 1817 | 139 |
| 3-Jan-22 | Online | Customer70 | 6497 | 194 |
| 3-Jan-22 | Online | Customer71 | 749 | 160 |
| 3-Jan-22 | Online | Customer71 | 2226 | 132 |
| 4-Jan-22 | Offline | Customer45 | 4180 | 150 |
| 4-Jan-22 | Offline | Customer49 | 4814 | 148 |
| 4-Jan-22 | Offline | Customer51 | 3857 | 166 |
| 5-Jan-22 | Online | Customer25 | 4363 | 124 |
| 5-Jan-22 | Offline | Customer46 | 12695 | 182 |
| 5-Jan-22 | Online | Customer17 | 5962 | 115 |
| 5-Jan-22 | Offline | Customer17 | 3043 | 172 |
| 6-Jan-22 | Online | Customer26 | 1870 | 166 |
| 6-Jan-22 | Offline | Customer30 | 3610 | 141 |
| 6-Jan-22 | Online | Customer46 | 14076 | 171 |
| 6-Jan-22 | Online | Customer48 | 1571 | 199 |
| 6-Jan-22 | Offline | Customer5 | 8341 | 194 |
| 6-Jan-22 | Online | Customer50 | 65174 | 192 |
| 7-Jan-22 | Online | Customer34 | 8741 | 153 |
| 7-Jan-22 | Offline | Customer37 | 2823 | 158 |
| 7-Jan-22 | Online | Customer46 | 14076 | 118 |
| 7-Jan-22 | Online | Customer6 | 3358 | 164 |
| 8-Jan-22 | Offline | Customer20 | 25996 | 113 |
| 8-Jan-22 | Online | Customer28 | 10494 | 126 |
| 8-Jan-22 | Online | Customer35 | 5547 | 195 |
| 8-Jan-22 | Online | Customer53 | 7075 | 135 |
| 8-Jan-22 | Offline | Customer55 | 9644 | 164 |
| 8-Jan-22 | Offline | Customer9 | 4330 | 196 |
| 9-Jan-22 | Offline | Customer12 | 5174 | 118 |
| 9-Jan-22 | Offline | Customer12 | 20193 | 126 |
| 9-Jan-22 | Online | Customer15 | 5296 | 113 |
| 9-Jan-22 | Online | Customer23 | 5353 | 186 |
| 9-Jan-22 | Online | Customer56 | 15309 | 149 |
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