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Hello,
I have the following example data:
| Date | Sale | Cost |
| 1/1/2020 | 53 | 7 |
| 1/15/2020 | 78 | 21 |
| 2/1/2020 | 31 | 12 |
| 2/15/2020 | 84 | 5 |
| 3/1/2020 | 53 | 20 |
| 3/15/2020 | 31 | 18 |
| 4/1/2020 | 55 | 7 |
| 4/15/2020 | 96 | 6 |
| 5/1/2020 | 69 | 8 |
| 5/15/2020 | 33 | 15 |
| 6/1/2020 | 54 | 17 |
| 6/15/2020 | 46 | 18 |
| 7/1/2020 | 65 | 18 |
| 7/15/2020 | 84 | 22 |
| 8/1/2020 | 35 | 13 |
| 8/15/2020 | 52 | 10 |
| 9/1/2020 | 97 | 9 |
| 9/15/2020 | 88 | 13 |
| 10/1/2020 | 46 | 21 |
| 10/15/2020 | 72 | 9 |
| 11/1/2020 | 97 | 16 |
| 11/15/2020 | 51 | 19 |
| 12/1/2020 | 35 | 7 |
| 12/15/2020 | 71 | 5 |
| 1/1/2021 | 90 | 6 |
| 1/15/2021 | 75 | 20 |
| 2/1/2021 | 46 | 22 |
| 2/15/2021 | 89 | 21 |
| 3/1/2021 | 67 | 21 |
| 3/15/2021 | 88 | 9 |
| 4/1/2021 | 92 | 20 |
| 4/15/2021 | 95 | 7 |
| 5/1/2021 | 88 | 6 |
| 5/15/2021 | 88 | 18 |
| 6/1/2021 | 31 | 6 |
| 6/15/2021 | 48 | 19 |
I want to display 3 specific custom date filters on a scatter plot. For example I want to to display the following date filters:
1/1/2020 - 12/31/2020
4/1/2020 - 3/31/2021
7/1/2020 - 6/30/2021
I understand that there will be overlaps in the data, but I want 3 different data markers to be displayed on the scatterplot. Right now I can only achieve individual quarters to be displayed, instead of the year long distinction that I need.
I want the visual to breakdown the lines as so:
1st line:
| 1/1/2020 | 53 | 7 |
| 1/15/2020 | 78 | 21 |
| 2/1/2020 | 31 | 12 |
| 2/15/2020 | 84 | 5 |
| 3/1/2020 | 53 | 20 |
| 3/15/2020 | 31 | 18 |
| 4/1/2020 | 55 | 7 |
| 4/15/2020 | 96 | 6 |
| 5/1/2020 | 69 | 8 |
| 5/15/2020 | 33 | 15 |
| 6/1/2020 | 54 | 17 |
| 6/15/2020 | 46 | 18 |
| 7/1/2020 | 65 | 18 |
| 7/15/2020 | 84 | 22 |
| 8/1/2020 | 35 | 13 |
| 8/15/2020 | 52 | 10 |
| 9/1/2020 | 97 | 9 |
| 9/15/2020 | 88 | 13 |
| 10/1/2020 | 46 | 21 |
| 10/15/2020 | 72 | 9 |
| 11/1/2020 | 97 | 16 |
| 11/15/2020 | 51 | 19 |
| 12/1/2020 | 35 | 7 |
| 12/15/2020 | 71 | 5 |
2nd line:
| 4/1/2020 | 55 | 7 |
| 4/15/2020 | 96 | 6 |
| 5/1/2020 | 69 | 8 |
| 5/15/2020 | 33 | 15 |
| 6/1/2020 | 54 | 17 |
| 6/15/2020 | 46 | 18 |
| 7/1/2020 | 65 | 18 |
| 7/15/2020 | 84 | 22 |
| 8/1/2020 | 35 | 13 |
| 8/15/2020 | 52 | 10 |
| 9/1/2020 | 97 | 9 |
| 9/15/2020 | 88 | 13 |
| 10/1/2020 | 46 | 21 |
| 10/15/2020 | 72 | 9 |
| 11/1/2020 | 97 | 16 |
| 11/15/2020 | 51 | 19 |
| 12/1/2020 | 35 | 7 |
| 12/15/2020 | 71 | 5 |
| 1/1/2021 | 90 | 6 |
| 1/15/2021 | 75 | 20 |
| 2/1/2021 | 46 | 22 |
| 2/15/2021 | 89 | 21 |
| 3/1/2021 | 67 | 21 |
| 3/15/2021 | 88 | 9 |
3rd line:
| 7/1/2020 | 65 | 18 |
| 7/15/2020 | 84 | 22 |
| 8/1/2020 | 35 | 13 |
| 8/15/2020 | 52 | 10 |
| 9/1/2020 | 97 | 9 |
| 9/15/2020 | 88 | 13 |
| 10/1/2020 | 46 | 21 |
| 10/15/2020 | 72 | 9 |
| 11/1/2020 | 97 | 16 |
| 11/15/2020 | 51 | 19 |
| 12/1/2020 | 35 | 7 |
| 12/15/2020 | 71 | 5 |
| 1/1/2021 | 90 | 6 |
| 1/15/2021 | 75 | 20 |
| 2/1/2021 | 46 | 22 |
| 2/15/2021 | 89 | 21 |
| 3/1/2021 | 67 | 21 |
| 3/15/2021 | 88 | 9 |
| 4/1/2021 | 92 | 20 |
| 4/15/2021 | 95 | 7 |
| 5/1/2021 | 88 | 6 |
| 5/15/2021 | 88 | 18 |
| 6/1/2021 | 31 | 6 |
| 6/15/2021 | 48 | 19 |
Solved! Go to Solution.
Hi @Anonymous ,
Please try:
First create a new table:
NewTable =
VAR _a = { "1/1/2020 - 12/31/2020", "4/1/2020 - 3/31/2021", "7/1/2020 - 6/30/2021" }
VAR _b =
CROSSJOIN ( _a, VALUES ( 'Table'[Date] ) )
VAR _c =
FILTER (
_b,
[Date]
>= DATE ( RIGHT ( LEFT ( [Value], FIND ( "-", [Value] ) - 2 ), 4 ), LEFT (
LEFT ( [Value], FIND ( "-", [Value] ) - 2 ),
FIND ( "/", LEFT ( [Value], FIND ( "-", [Value] ) - 2 ) ) - 1
), MID (
LEFT ( [Value], FIND ( "-", [Value] ) - 2 ),
FIND ( "/", [Value], FIND ( "/", [Value], 1 ) ) + 1,
FIND ( "/", [Value], 1 + FIND ( "/", [Value], 1 ) )
- FIND ( "/", [Value], 1 ) - 1
) )
&& [Date]
<= DATE ( RIGHT ( RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ), 4 ), LEFT (
RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ),
FIND ( "/", RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ) ) - 1
), MID (
RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ),
FIND (
"/",
RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ),
FIND ( "/", [Value], 1 )
) + 1,
FIND (
"/",
RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ),
1
+ FIND ( "/", RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ), 1 )
)
- FIND ( "/", RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ), 1 ) - 1
) )
)
RETURN
_c
Output:
Then apply these two measrues to a matrix visual:
Sale = SUMX(FILTER('Table',[Date] in SELECTCOLUMNS('NewTable',"Date",[Date])),[Sale])
Cost = SUMX(FILTER('Table',[Date] in SELECTCOLUMNS('NewTable',"Date",[Date])),[Cost])
Final output:
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
Please try:
First create a new table:
NewTable =
VAR _a = { "1/1/2020 - 12/31/2020", "4/1/2020 - 3/31/2021", "7/1/2020 - 6/30/2021" }
VAR _b =
CROSSJOIN ( _a, VALUES ( 'Table'[Date] ) )
VAR _c =
FILTER (
_b,
[Date]
>= DATE ( RIGHT ( LEFT ( [Value], FIND ( "-", [Value] ) - 2 ), 4 ), LEFT (
LEFT ( [Value], FIND ( "-", [Value] ) - 2 ),
FIND ( "/", LEFT ( [Value], FIND ( "-", [Value] ) - 2 ) ) - 1
), MID (
LEFT ( [Value], FIND ( "-", [Value] ) - 2 ),
FIND ( "/", [Value], FIND ( "/", [Value], 1 ) ) + 1,
FIND ( "/", [Value], 1 + FIND ( "/", [Value], 1 ) )
- FIND ( "/", [Value], 1 ) - 1
) )
&& [Date]
<= DATE ( RIGHT ( RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ), 4 ), LEFT (
RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ),
FIND ( "/", RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ) ) - 1
), MID (
RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ),
FIND (
"/",
RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ),
FIND ( "/", [Value], 1 )
) + 1,
FIND (
"/",
RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ),
1
+ FIND ( "/", RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ), 1 )
)
- FIND ( "/", RIGHT ( [Value], LEN ( [Value] ) - FIND ( "-", [Value] ) - 1 ), 1 ) - 1
) )
)
RETURN
_c
Output:
Then apply these two measrues to a matrix visual:
Sale = SUMX(FILTER('Table',[Date] in SELECTCOLUMNS('NewTable',"Date",[Date])),[Sale])
Cost = SUMX(FILTER('Table',[Date] in SELECTCOLUMNS('NewTable',"Date",[Date])),[Cost])
Final output:
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
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