Calculate Difference Value FromMultiple Selected Value

[mrfsca]

I want to create a matrix that shows several variables with columns for the current month, YTD this year, YTD last year, and then the difference between YTD this year and last year. These columns can be selected from a slicer on the side. What I want is how to calculate the difference between YTD based on multiple selected values. I want to calculate the (AD-OEE) from the selected YTD of the larger year minus the (AD-OEE) selected YTD of the smaller year. If you look at the attachment (pic1), I want to replace 'Jan21' with 'YoY' value. I found this post but when I tried, I didn't get what I wanted
https://community.fabric.microsoft.com/t5/Desktop/Difference-between-two-columns-or-rows/td-p/188185

Difference =
IF (
    HASONEVALUE ( 'Table'[YEAR] ),
    BLANK (),
    CALCULATE (
        SUM ( 'Table'[AMOUNT] ),
        FILTER ( 'Table', 'Table'[YEAR] = MAX ( 'Table'[YEAR] ) )
    )
        - CALCULATE (
            SUM ( 'Table'[AMOUNT] ),
            FILTER ( 'Table', 'Table'[YEAR] = MIN ( 'Table'[YEAR] ) )
        )
)

Oh, currently, I am using 3 overlapped matrices. Is there any advice to make it more visually effective but with the same goal? Pic2 is what I want to create. Can anyone help me out?

(pic1)

(pic2)

Data that I used (dummy)

Period	Period Information	AD	ACD	DT	AU	IDT	SDT	NDT	NRL	AP	RR	OE	OEE
Jan 21	MTD Jan 21	29	29	24	26	31	30	30	25	28	72	10	76
Feb 21	MTD Feb 21	28	22	25	5	26	28	0	0	29	70	55	95
Mar 21	MTD Mar 21	30	21	21	19	25	13	1	26	4	36	8	85
Apr 21	MTD Apr 21	30	29	27	13	25	31	24	6	13	49	47	34
May 21	MTD May 21	29	25	24	40	29	17	25	13	11	67	31	53
Jun 21	MTD Jun 21	30	31	31	36	3	5	13	18	21	98	6	1
Jul 21	MTD Jul 21	28	29	29	94	30	29	2	16	23	67	50	91
Aug 21	MTD Aug 21	30	29	20	32	27	29	26	2	0	23	29	19
Sep 21	MTD Sep 21	29	27	27	9	24	25	25	2	7	72	11	72
Oct 21	MTD Oct 21	28	26	31	73	14	24	22	1	8	64	53	37
Nov 21	MTD Nov 21	29	23	23	73	30	30	25	12	31	11	93	3
Dec 21	MTD Dec 21	28	30	21	60	9	0	28	28	6	6	14	17
Dec 21	YTD  2021	348	321	303	480	273	261	221	149	181	635	407	583
Jan 22	MTD Jan 22	30	31	28	68	0	14	22	0	8	25	18	59
Feb 22	MTD Feb 22	28	29	28	55	22	16	28	11	11	32	11	76
Mar 22	MTD Mar 22	31	25	21	59	13	13	24	13	30	29	23	6
Apr 22	MTD Apr 22	31	30	27	21	0	26	24	15	16	73	88	4
May 22	MTD May 22	29	22	24	46	3	4	2	8	6	33	63	97
Jun 22	MTD Jun 22	28	20	25	79	10	24	8	26	7	69	88	13
Jul 22	MTD Jul 22	28	25	23	16	10	7	16	5	2	86	86	33
Aug 22	MTD Aug 22	31	25	28	46	24	29	2	29	28	71	70	2
Sep 22	MTD Sep 22	29	28	22	14	1	22	1	28	5	20	60	55
Oct 22	MTD Oct 22	30	21	24	40	21	22	6	1	15	1	28	31
Nov 22	MTD Nov 22	30	29	25	63	24	14	15	13	21	67	84	33
Dec 22	MTD Dec 22	31	25	22	72	30	6	11	10	13	84	82	60
Dec 22	YTD  2022	356	310	297	579	158	197	159	159	162	590	701	469
Jan 23	MTD Jan 23	29	20	21	89	8	13	10	8	19	47	15	23
Feb 23	MTD Feb 23	29	23	30	30	24	9	9	22	31	56	6	65
Mar 23	MTD Mar 23	28	27	29	99	21	22	8	18	12	52	74	84
Apr 23	MTD Apr 23	28	22	25	70	8	17	2	22	18	89	17	47
May 23	MTD May 23	29	24	30	97	0	10	2	12	19	64	4	17
Jun 23	MTD Jun 23	28	25	30	13	25	13	27	18	24	20	47	13
Jul 23	MTD Jul 23	30	26	20	42	26	6	26	1	5	13	44	100
Aug 23	MTD Aug 23	30	30	28	73	19	9	13	27	15	45	94	96
Sep 23	MTD Sep 23	30	30	30	22	4	17	24	19	15	61	36	96
Oct 23	MTD Oct 23	31	22	23	62	29	24	6	23	26	16	72	76
Nov 23	MTD Nov 23	30	29	21	36	17	0	24	22	6	27	72	1
Dec 23	MTD Dec 23	28	31	22	59	13	9	20	7	26	63	93	31
Dec 23	YTD  2023	350	309	309	692	194	149	171	199	216	553	574	649

[Habitat]

What does your raw data look like?

Need more details to understand it.

[mrfsca]

Hi, I just updated my post. It now includes the dummy data that I used.