radonwilson
Board Regular
- Joined
- Jun 23, 2021
- Messages
- 50
- Office Version
- 2019
- Platform
- Windows
Is there a way by which I can add a slicer for the pivot table ROWS FIELD?
As you can see in the pivot table I put weeks in a row field, I am looking for a way by which I can switch between months and weeks using a slicer.
As you can see in the pivot table I put weeks in a row field, I am looking for a way by which I can switch between months and weeks using a slicer.
Book1 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | G | H | |||
1 | Date | Week | Month | Sales | ||||||
2 | 01-01-2023 | Week - 01 | Jan | 28641 | Row Labels | Sum of Sales | ||||
3 | 02-01-2023 | Week - 01 | Jan | 21232 | Week - 01 | 2,45,342.00 | ||||
4 | 03-01-2023 | Week - 01 | Jan | 40932 | Week - 02 | 2,30,052.00 | ||||
5 | 04-01-2023 | Week - 01 | Jan | 49990 | Week - 03 | 2,10,740.00 | ||||
6 | 05-01-2023 | Week - 01 | Jan | 42946 | Week - 04 | 2,69,864.00 | ||||
7 | 06-01-2023 | Week - 01 | Jan | 34171 | Week - 05 | 3,09,985.00 | ||||
8 | 07-01-2023 | Week - 01 | Jan | 27430 | Week - 06 | 2,22,395.00 | ||||
9 | 08-01-2023 | Week - 02 | Jan | 48838 | Week - 07 | 2,04,699.00 | ||||
10 | 09-01-2023 | Week - 02 | Jan | 30762 | Week - 08 | 2,06,470.00 | ||||
11 | 10-01-2023 | Week - 02 | Jan | 32328 | Week - 09 | 2,34,893.00 | ||||
12 | 11-01-2023 | Week - 02 | Jan | 29508 | Week - 10 | 2,49,543.00 | ||||
13 | 12-01-2023 | Week - 02 | Jan | 40648 | Week - 11 | 2,79,034.00 | ||||
14 | 13-01-2023 | Week - 02 | Jan | 25422 | Week - 12 | 2,55,326.00 | ||||
15 | 14-01-2023 | Week - 02 | Jan | 22546 | Week - 13 | 1,83,373.00 | ||||
16 | 15-01-2023 | Week - 03 | Jan | 21572 | Grand Total | 31,01,716.00 | ||||
17 | 16-01-2023 | Week - 03 | Jan | 33064 | ||||||
18 | 17-01-2023 | Week - 03 | Jan | 31588 | ||||||
19 | 18-01-2023 | Week - 03 | Jan | 26168 | ||||||
20 | 19-01-2023 | Week - 03 | Jan | 28922 | ||||||
21 | 20-01-2023 | Week - 03 | Jan | 37660 | ||||||
22 | 21-01-2023 | Week - 03 | Jan | 31766 | ||||||
23 | 22-01-2023 | Week - 04 | Jan | 21856 | ||||||
24 | 23-01-2023 | Week - 04 | Jan | 45724 | ||||||
25 | 24-01-2023 | Week - 04 | Jan | 43725 | ||||||
26 | 25-01-2023 | Week - 04 | Jan | 41959 | ||||||
27 | 26-01-2023 | Week - 04 | Jan | 45223 | ||||||
28 | 27-01-2023 | Week - 04 | Jan | 43278 | ||||||
29 | 28-01-2023 | Week - 04 | Jan | 28099 | ||||||
30 | 29-01-2023 | Week - 05 | Jan | 43653 | ||||||
31 | 30-01-2023 | Week - 05 | Jan | 44521 | ||||||
32 | 31-01-2023 | Week - 05 | Jan | 44660 | ||||||
33 | 01-02-2023 | Week - 05 | Feb | 47041 | ||||||
34 | 02-02-2023 | Week - 05 | Feb | 44496 | ||||||
35 | 03-02-2023 | Week - 05 | Feb | 42535 | ||||||
36 | 04-02-2023 | Week - 05 | Feb | 43079 | ||||||
37 | 05-02-2023 | Week - 06 | Feb | 24788 | ||||||
38 | 06-02-2023 | Week - 06 | Feb | 20140 | ||||||
39 | 07-02-2023 | Week - 06 | Feb | 43805 | ||||||
40 | 08-02-2023 | Week - 06 | Feb | 20228 | ||||||
41 | 09-02-2023 | Week - 06 | Feb | 41249 | ||||||
42 | 10-02-2023 | Week - 06 | Feb | 26937 | ||||||
43 | 11-02-2023 | Week - 06 | Feb | 45248 | ||||||
44 | 12-02-2023 | Week - 07 | Feb | 28155 | ||||||
45 | 13-02-2023 | Week - 07 | Feb | 28670 | ||||||
46 | 14-02-2023 | Week - 07 | Feb | 20984 | ||||||
47 | 15-02-2023 | Week - 07 | Feb | 44510 | ||||||
48 | 16-02-2023 | Week - 07 | Feb | 24378 | ||||||
49 | 17-02-2023 | Week - 07 | Feb | 30446 | ||||||
50 | 18-02-2023 | Week - 07 | Feb | 27556 | ||||||
51 | 19-02-2023 | Week - 08 | Feb | 23307 | ||||||
52 | 20-02-2023 | Week - 08 | Feb | 28109 | ||||||
53 | 21-02-2023 | Week - 08 | Feb | 26271 | ||||||
54 | 22-02-2023 | Week - 08 | Feb | 40875 | ||||||
55 | 23-02-2023 | Week - 08 | Feb | 27831 | ||||||
56 | 24-02-2023 | Week - 08 | Feb | 26053 | ||||||
57 | 25-02-2023 | Week - 08 | Feb | 34024 | ||||||
58 | 26-02-2023 | Week - 09 | Feb | 48242 | ||||||
59 | 27-02-2023 | Week - 09 | Feb | 35165 | ||||||
60 | 28-02-2023 | Week - 09 | Feb | 35374 | ||||||
61 | 01-03-2023 | Week - 09 | Mar | 48708 | ||||||
62 | 02-03-2023 | Week - 09 | Mar | 27238 | ||||||
63 | 03-03-2023 | Week - 09 | Mar | 20019 | ||||||
64 | 04-03-2023 | Week - 09 | Mar | 20147 | ||||||
65 | 05-03-2023 | Week - 10 | Mar | 39942 | ||||||
66 | 06-03-2023 | Week - 10 | Mar | 36845 | ||||||
67 | 07-03-2023 | Week - 10 | Mar | 28798 | ||||||
68 | 08-03-2023 | Week - 10 | Mar | 39438 | ||||||
69 | 09-03-2023 | Week - 10 | Mar | 47166 | ||||||
70 | 10-03-2023 | Week - 10 | Mar | 29653 | ||||||
71 | 11-03-2023 | Week - 10 | Mar | 27701 | ||||||
72 | 12-03-2023 | Week - 11 | Mar | 43263 | ||||||
73 | 13-03-2023 | Week - 11 | Mar | 39185 | ||||||
74 | 14-03-2023 | Week - 11 | Mar | 23556 | ||||||
75 | 15-03-2023 | Week - 11 | Mar | 46019 | ||||||
76 | 16-03-2023 | Week - 11 | Mar | 45616 | ||||||
77 | 17-03-2023 | Week - 11 | Mar | 41415 | ||||||
78 | 18-03-2023 | Week - 11 | Mar | 39980 | ||||||
79 | 19-03-2023 | Week - 12 | Mar | 45027 | ||||||
80 | 20-03-2023 | Week - 12 | Mar | 29631 | ||||||
81 | 21-03-2023 | Week - 12 | Mar | 22717 | ||||||
82 | 22-03-2023 | Week - 12 | Mar | 46373 | ||||||
83 | 23-03-2023 | Week - 12 | Mar | 37210 | ||||||
84 | 24-03-2023 | Week - 12 | Mar | 30209 | ||||||
85 | 25-03-2023 | Week - 12 | Mar | 44159 | ||||||
86 | 26-03-2023 | Week - 13 | Mar | 21719 | ||||||
87 | 27-03-2023 | Week - 13 | Mar | 21835 | ||||||
88 | 28-03-2023 | Week - 13 | Mar | 20581 | ||||||
89 | 29-03-2023 | Week - 13 | Mar | 37063 | ||||||
90 | 30-03-2023 | Week - 13 | Mar | 35444 | ||||||
91 | 31-03-2023 | Week - 13 | Mar | 46731 | ||||||
Sheet1 |
Cell Formulas | ||
---|---|---|
Range | Formula | |
B2:B91 | B2 | ="Week - "&TEXT(WEEKNUM([@Date],1),"00") |
C2:C91 | C2 | =TEXT([@Date],"MMM") |