使用多个数据透视表将行转为列
Transpose rows to columns using multiple pivots
我正在尝试将行转置为列，但运气不佳。我现在拥有的
WEEK_NUMBER
VAL9
VAL4
VAL5
VAL7
45
63.27%
28.58%
7.92%
0.23%
52
65.66%
26.16%
7.80%
0.38%
50
90.97%
8.45%
0.29%
0.29%
46
82.49%
12.43%
3.01%
2.06%
47
66.33%
29.53%
3.77%
0.36%
51
65.36%
31.83%
2.69%
0.11%
49
61.88%
28.29%
9.46%
0.37%
44
45.34%
45.55%
8.45%
0.66%
48
43.75%
40.01%
16.01%
0.23%
这基于以下查询
select
to_char(for_date,'ww') as week_number
,val9
,val4
,val5
,val7
from data_tab
where to_char(for_date,'yy') = '21'
我正在尝试获得以下结果
01
02
..
51
52
VAL9
0
0
..
65.36%
65.66%
VAL4
0
0
..
31.83%
26.16%
VAL5
0
0
..
2.69%
7.80%
VAL7
0
0
..
0.11%
0.38%
我已尝试执行下一个查询，但没有成功。如果有人能指出正确的方向，我将不胜感激。
select * from (
select
to_char(for_date,'ww') as week_number
,val9
,val4
,val5
,val7
from data_tab
where to_char(for_date,'yy') = '21')
pivot (
min(val9)--, min(val4), min(val5), min(val7)
for week_number in (01 ,02 ,03 ,04 ,05 ,06 ,07 ,08 ,09 ,10 ,11 ,12 ,13 ,14 ,15 ,16 ,17 ,18 ,19 ,20 ,21 ,22 ,23 ,24 ,25 ,26 ,27 ,28 ,29 ,30 ,31 ,32 ,33 ,34 ,35 ,36 ,37 ,38 ,39 ,40 ,41 ,42 ,43 ,44 ,45 ,46 ,47 ,48 ,49 ,50 ,51 ,52 ,53)
)
UNPIVOT 然后 PIVOT:
SELECT *
FROM (
SELECT to_char(for_date,'ww') as week_number
, val9
, val4
, val5
, val7
FROM data_tab
WHERE for_date >= DATE '2021-01-01'
AND for_date < DATE '2022-01-01'
-- WHERE EXTRACT(YEAR FROM for_date) = 2021
)
UNPIVOT (
value FOR key IN (val9, val4, val5, val7)
)
PIVOT (
MAX(value) FOR week_number IN (
'01' AS "01",
'02' AS "02",
-- ...
'44' AS "44",
'45' AS "45",
'46' AS "46",
'47' AS "47",
'48' AS "48",
'49' AS "49",
'50' AS "50",
'51' AS "51",
'52' AS "52",
'53' AS "53"
)
)
其中，对于示例数据：
CREATE TABLE data_tab (for_date, val9, val4, val5, val7) AS
SELECT DATE '2021-11-13', 63.27, 28.58, 7.92, 0.23 FROM DUAL UNION ALL
SELECT DATE '2021-12-31', 65.66, 26.16, 7.80, 0.38 FROM DUAL UNION ALL
SELECT DATE '2021-12-17', 90.97, 8.45, 0.29, 0.29 FROM DUAL UNION ALL
SELECT DATE '2021-11-20', 82.49, 12.43, 3.01, 2.06 FROM DUAL UNION ALL
SELECT DATE '2021-11-27', 66.33, 29.53, 3.77, 0.36 FROM DUAL UNION ALL
SELECT DATE '2021-12-24', 65.36, 31.83, 2.69, 0.11 FROM DUAL UNION ALL
SELECT DATE '2021-12-10', 61.88, 28.29, 9.46, 0.37 FROM DUAL UNION ALL
SELECT DATE '2021-11-06', 45.34, 45.55, 8.45, 0.66 FROM DUAL UNION ALL
SELECT DATE '2021-12-03', 43.75, 40.01, 16.01, 0.23 FROM DUAL;
输出：
KEY
01
02
44
45
46
47
48
49
50
51
52
53
VAL9
null
null
null
45.34
63.27
82.49
66.33
43.75
61.88
90.97
65.36
65.66
VAL4
null
null
null
45.55
28.58
12.43
29.53
40.01
28.29
8.45
31.83
26.16
VAL5
null
null
null
8.45
7.92
3.01
3.77
16.01
9.46
.29
2.69
7.8
VAL7
null
null
null
.66
.23
2.06
.36
.23
.37
.29
.11
.38
db<>fiddle here
我正在尝试将行转置为列，但运气不佳。我现在拥有的
| WEEK_NUMBER | VAL9 | VAL4 | VAL5 | VAL7 |
|---|---|---|---|---|
| 45 | 63.27% | 28.58% | 7.92% | 0.23% |
| 52 | 65.66% | 26.16% | 7.80% | 0.38% |
| 50 | 90.97% | 8.45% | 0.29% | 0.29% |
| 46 | 82.49% | 12.43% | 3.01% | 2.06% |
| 47 | 66.33% | 29.53% | 3.77% | 0.36% |
| 51 | 65.36% | 31.83% | 2.69% | 0.11% |
| 49 | 61.88% | 28.29% | 9.46% | 0.37% |
| 44 | 45.34% | 45.55% | 8.45% | 0.66% |
| 48 | 43.75% | 40.01% | 16.01% | 0.23% |
这基于以下查询
select
to_char(for_date,'ww') as week_number
,val9
,val4
,val5
,val7
from data_tab
where to_char(for_date,'yy') = '21'
我正在尝试获得以下结果
| 01 | 02 | .. | 51 | 52 | |
|---|---|---|---|---|---|
| VAL9 | 0 | 0 | .. | 65.36% | 65.66% |
| VAL4 | 0 | 0 | .. | 31.83% | 26.16% |
| VAL5 | 0 | 0 | .. | 2.69% | 7.80% |
| VAL7 | 0 | 0 | .. | 0.11% | 0.38% |
我已尝试执行下一个查询，但没有成功。如果有人能指出正确的方向，我将不胜感激。
select * from (
select
to_char(for_date,'ww') as week_number
,val9
,val4
,val5
,val7
from data_tab
where to_char(for_date,'yy') = '21')
pivot (
min(val9)--, min(val4), min(val5), min(val7)
for week_number in (01 ,02 ,03 ,04 ,05 ,06 ,07 ,08 ,09 ,10 ,11 ,12 ,13 ,14 ,15 ,16 ,17 ,18 ,19 ,20 ,21 ,22 ,23 ,24 ,25 ,26 ,27 ,28 ,29 ,30 ,31 ,32 ,33 ,34 ,35 ,36 ,37 ,38 ,39 ,40 ,41 ,42 ,43 ,44 ,45 ,46 ,47 ,48 ,49 ,50 ,51 ,52 ,53)
)
UNPIVOT 然后 PIVOT:
SELECT *
FROM (
SELECT to_char(for_date,'ww') as week_number
, val9
, val4
, val5
, val7
FROM data_tab
WHERE for_date >= DATE '2021-01-01'
AND for_date < DATE '2022-01-01'
-- WHERE EXTRACT(YEAR FROM for_date) = 2021
)
UNPIVOT (
value FOR key IN (val9, val4, val5, val7)
)
PIVOT (
MAX(value) FOR week_number IN (
'01' AS "01",
'02' AS "02",
-- ...
'44' AS "44",
'45' AS "45",
'46' AS "46",
'47' AS "47",
'48' AS "48",
'49' AS "49",
'50' AS "50",
'51' AS "51",
'52' AS "52",
'53' AS "53"
)
)
其中，对于示例数据：
CREATE TABLE data_tab (for_date, val9, val4, val5, val7) AS
SELECT DATE '2021-11-13', 63.27, 28.58, 7.92, 0.23 FROM DUAL UNION ALL
SELECT DATE '2021-12-31', 65.66, 26.16, 7.80, 0.38 FROM DUAL UNION ALL
SELECT DATE '2021-12-17', 90.97, 8.45, 0.29, 0.29 FROM DUAL UNION ALL
SELECT DATE '2021-11-20', 82.49, 12.43, 3.01, 2.06 FROM DUAL UNION ALL
SELECT DATE '2021-11-27', 66.33, 29.53, 3.77, 0.36 FROM DUAL UNION ALL
SELECT DATE '2021-12-24', 65.36, 31.83, 2.69, 0.11 FROM DUAL UNION ALL
SELECT DATE '2021-12-10', 61.88, 28.29, 9.46, 0.37 FROM DUAL UNION ALL
SELECT DATE '2021-11-06', 45.34, 45.55, 8.45, 0.66 FROM DUAL UNION ALL
SELECT DATE '2021-12-03', 43.75, 40.01, 16.01, 0.23 FROM DUAL;
输出：
KEY 01 02 44 45 46 47 48 49 50 51 52 53 VAL9 null null null 45.34 63.27 82.49 66.33 43.75 61.88 90.97 65.36 65.66 VAL4 null null null 45.55 28.58 12.43 29.53 40.01 28.29 8.45 31.83 26.16 VAL5 null null null 8.45 7.92 3.01 3.77 16.01 9.46 .29 2.69 7.8 VAL7 null null null .66 .23 2.06 .36 .23 .37 .29 .11 .38
db<>fiddle here