更新 - 我如何获得一年中的平均值
UPDATED - How do I get an avg in a range of year
我有 2 个表 attendance 和 people。
我需要按年份范围获取AVG出勤率。
为此，我需要获取列 people.DT_NASCIMENTO_FUNDACAO（日期）和 attendance.DT_SOLICITACAO_ATENDIMENTO（日期）。
这个查询的结果应该是这样的：
-------------------------
| 0 - 18 | 19 - 23| ... |
-------------------------
| 0.2 | 0.8 | ... |
-------------------------
其中 0.2 和 0.8 是按年份范围划分的出勤率的十进制表示。
人有 CD_PESSOA PK，出席人数有 NU_USUARIO LIKE FK。
______ ____________
|PEOPLE| 1 ------------------> N | ATTENDANCE |
------- ------------
我创建了一个代码来计算某个年份发生的次数：
SELECT
SUM(CASE
WHEN EXTRACT(YEAR FROM TO_DATE(P.DT_NASCIMENTO_FUNDACAO))
BETWEEN EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO)) - 18
AND EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO))
THEN 1 ELSE 0 END) AS "0 - 18",
SUM(CASE
WHEN EXTRACT(YEAR FROM TO_DATE(P.DT_NASCIMENTO_FUNDACAO))
BETWEEN EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO)) - 23
AND EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO)) - 19
THEN 1 ELSE 0 END) AS "19 - 23"
FROM ATTENDANCE G JOIN PEOPLE P
ON (G.NU_USUARIO = P.CD_PESSOA)
WHERE EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO)) >= EXTRACT(YEAR FROM SYSDATE) - 1
AND EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO)) <= EXTRACT(YEAR FROM SYSDATE);
结果我有：
现在，我需要更改此结果以显示百分比表示。我该怎么做？
Here 在此 link 中，我创建了 sql 文件以创建表格并插入示例数据（50 人和 2000 人出席）。
这里我们有大约 50 个关于出生日期和 1000 出勤日期的样本数据。
people.DT_NASCIMENTO_FUNDACAO
01-07-2010
15-09-2014
10-07-1970
26-01-1989
02-05-1982
09-05-2009
25-08-2006
02-12-2013
08-04-2008
11-01-1962
01-05-1980
11-11-1993
15-07-2013
03-03-1990
09-10-2013
31-12-2008
25-07-2015
16-06-1972
03-11-1985
03-11-2006
19-03-1955
03-01-1974
08-01-2015
13-11-2003
07-01-1989
22-01-2007
30-11-1999
04-12-1970
24-05-1983
25-04-2012
11-11-1988
16-09-1980
21-05-1989
01-06-2011
14-09-1973
16-10-2015
10-02-2000
30-10-2004
27-02-1965
30-01-2015
23-05-1993
07-01-1987
04-03-1998
22-10-2011
17-12-1999
19-02-1955
21-07-1961
attendance.DT_SOLICITACAO_ATENDIMENTO
18-09-2020
21-09-2020
18-09-2020
18-09-2020
18-09-2020
18-09-2020
30-09-2020
30-09-2020
30-09-2020
14-09-2020
23-09-2020
18-09-2020
18-09-2020
18-09-2020
18-09-2020
08-09-2020
08-09-2020
08-09-2020
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18-09-2020
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04-09-2020
04-09-2020
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08-09-2020
08-09-2020
08-09-2020
09-09-2020
25-08-2020
25-08-2020
25-08-2020
25-08-2020
01-09-2020
01-09-2020
01-09-2020
01-09-2020
01-09-2020
01-09-2020
01-09-2020
01-09-2020
01-09-2020
08-09-2020
17-09-2020
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08-09-2020
21-09-2020
13-10-2020
04-09-2020
18-09-2020
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12-07-2019
12-07-2019
12-07-2019
11-07-2019
11-07-2019
11-07-2019
09-07-2019
11-07-2019
11-07-2019
11-07-2019
11-07-2019
我该怎么做？
为了解决我的问题，需要对数据库进行组操作，包括创建 2 个临时表。
我的案例的解决方案是：
WITH TABLE_X AS (
SELECT P.CD_PESSOA, P.DT_NASCIMENTO_FUNDACAO, TO_DATE(SYSDATE) AS DATA_ATUAL, TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO),
EXTRACT(YEAR FROM SYSDATE) - EXTRACT(YEAR FROM TO_DATE(P.DT_NASCIMENTO_FUNDACAO)) AS IDADE
FROM ATTENDANCE G JOIN PEOPLE P
ON (G.NU_USUARIO = P.CD_PESSOA)
WHERE EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO)) >= EXTRACT(YEAR FROM SYSDATE) - 1
AND EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO)) <= EXTRACT(YEAR FROM SYSDATE)
ORDER BY IDADE DESC
),
TABLE_Y AS (SELECT
SUM(CASE WHEN IDADE BETWEEN 0 AND 18 THEN 1 ELSE 0 END) AS "0-18",
SUM(CASE WHEN IDADE BETWEEN 19 AND 23 THEN 1 ELSE 0 END) AS "19-23",
SUM(CASE WHEN IDADE BETWEEN 24 AND 28 THEN 1 ELSE 0 END) AS "24-28",
SUM(CASE WHEN IDADE BETWEEN 29 AND 33 THEN 1 ELSE 0 END) AS "29-33",
SUM(CASE WHEN IDADE BETWEEN 34 AND 38 THEN 1 ELSE 0 END) AS "34-38",
SUM(CASE WHEN IDADE BETWEEN 39 AND 43 THEN 1 ELSE 0 END) AS "39-43",
SUM(CASE WHEN IDADE BETWEEN 44 AND 48 THEN 1 ELSE 0 END) AS "44-48",
SUM(CASE WHEN IDADE BETWEEN 49 AND 53 THEN 1 ELSE 0 END) AS "49-53",
SUM(CASE WHEN IDADE BETWEEN 54 AND 58 THEN 1 ELSE 0 END) AS "54-58",
SUM(CASE WHEN IDADE >= 59 THEN 1 ELSE 0 END) AS "59+",
SUM(CASE WHEN IDADE IS NULL THEN 1 ELSE 0 END) AS "VALORES_NULL",
COUNT(IDADE) AS TOTAL_IDADE
FROM TABLE_X
)
SELECT
ROUND(("0-18" / TOTAL_IDADE) * 100, 2) ||'%' AS "0-18",
ROUND(("19-23" / TOTAL_IDADE) * 100, 2) ||'%' AS "19-23",
ROUND(("24-28" / TOTAL_IDADE) * 100, 2) ||'%' AS "24-28",
ROUND(("29-33" / TOTAL_IDADE) * 100, 2) ||'%' AS "29-33",
ROUND(("34-38" / TOTAL_IDADE) * 100, 2) ||'%' AS "29-33",
ROUND(("39-43" / TOTAL_IDADE) * 100, 2) ||'%' AS "34-38",
ROUND(("44-48" / TOTAL_IDADE) * 100, 2) ||'%' AS "44-48",
ROUND(("49-53" / TOTAL_IDADE) * 100, 2) ||'%' AS "49-53",
ROUND(("54-58" / TOTAL_IDADE) * 100, 2) ||'%' AS "54-58",
ROUND(("59+" / TOTAL_IDADE) * 100, 2) ||'%' AS "59+"
FROM TABLE_Y
结果我有：
我有 2 个表 attendance 和 people。
我需要按年份范围获取AVG出勤率。
为此，我需要获取列 people.DT_NASCIMENTO_FUNDACAO（日期）和 attendance.DT_SOLICITACAO_ATENDIMENTO（日期）。
这个查询的结果应该是这样的：
-------------------------
| 0 - 18 | 19 - 23| ... |
-------------------------
| 0.2 | 0.8 | ... |
-------------------------
其中 0.2 和 0.8 是按年份范围划分的出勤率的十进制表示。
人有 CD_PESSOA PK，出席人数有 NU_USUARIO LIKE FK。
______ ____________
|PEOPLE| 1 ------------------> N | ATTENDANCE |
------- ------------
我创建了一个代码来计算某个年份发生的次数：
SELECT
SUM(CASE
WHEN EXTRACT(YEAR FROM TO_DATE(P.DT_NASCIMENTO_FUNDACAO))
BETWEEN EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO)) - 18
AND EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO))
THEN 1 ELSE 0 END) AS "0 - 18",
SUM(CASE
WHEN EXTRACT(YEAR FROM TO_DATE(P.DT_NASCIMENTO_FUNDACAO))
BETWEEN EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO)) - 23
AND EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO)) - 19
THEN 1 ELSE 0 END) AS "19 - 23"
FROM ATTENDANCE G JOIN PEOPLE P
ON (G.NU_USUARIO = P.CD_PESSOA)
WHERE EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO)) >= EXTRACT(YEAR FROM SYSDATE) - 1
AND EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO)) <= EXTRACT(YEAR FROM SYSDATE);
结果我有：
现在，我需要更改此结果以显示百分比表示。我该怎么做？
Here 在此 link 中，我创建了 sql 文件以创建表格并插入示例数据（50 人和 2000 人出席）。
这里我们有大约 50 个关于出生日期和 1000 出勤日期的样本数据。
people.DT_NASCIMENTO_FUNDACAO
01-07-2010
15-09-2014
10-07-1970
26-01-1989
02-05-1982
09-05-2009
25-08-2006
02-12-2013
08-04-2008
11-01-1962
01-05-1980
11-11-1993
15-07-2013
03-03-1990
09-10-2013
31-12-2008
25-07-2015
16-06-1972
03-11-1985
03-11-2006
19-03-1955
03-01-1974
08-01-2015
13-11-2003
07-01-1989
22-01-2007
30-11-1999
04-12-1970
24-05-1983
25-04-2012
11-11-1988
16-09-1980
21-05-1989
01-06-2011
14-09-1973
16-10-2015
10-02-2000
30-10-2004
27-02-1965
30-01-2015
23-05-1993
07-01-1987
04-03-1998
22-10-2011
17-12-1999
19-02-1955
21-07-1961
attendance.DT_SOLICITACAO_ATENDIMENTO
18-09-2020
21-09-2020
18-09-2020
18-09-2020
18-09-2020
18-09-2020
30-09-2020
30-09-2020
30-09-2020
14-09-2020
23-09-2020
18-09-2020
18-09-2020
18-09-2020
18-09-2020
08-09-2020
08-09-2020
08-09-2020
08-09-2020
08-09-2020
08-09-2020
08-09-2020
08-09-2020
18-09-2020
21-09-2020
21-09-2020
04-09-2020
04-09-2020
04-09-2020
04-09-2020
04-09-2020
08-09-2020
08-09-2020
08-09-2020
09-09-2020
25-08-2020
25-08-2020
25-08-2020
25-08-2020
01-09-2020
01-09-2020
01-09-2020
01-09-2020
01-09-2020
01-09-2020
01-09-2020
01-09-2020
01-09-2020
08-09-2020
17-09-2020
08-09-2020
08-09-2020
08-09-2020
17-09-2020
08-09-2020
08-09-2020
08-09-2020
08-09-2020
08-09-2020
08-09-2020
08-09-2020
08-09-2020
08-09-2020
08-09-2020
08-09-2020
21-09-2020
13-10-2020
04-09-2020
18-09-2020
18-09-2020
18-09-2020
18-09-2020
18-09-2020
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18-09-2020
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18-09-2020
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28-09-2020
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18-03-2019
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19-03-2019
15-01-2019
05-02-2019
20-03-2019
27-12-2018
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29-01-2019
13-11-2018
22-03-2019
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17-01-2019
25-03-2019
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25-03-2019
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13-03-2019
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11-07-2019
我该怎么做？
为了解决我的问题，需要对数据库进行组操作，包括创建 2 个临时表。
我的案例的解决方案是：
WITH TABLE_X AS (
SELECT P.CD_PESSOA, P.DT_NASCIMENTO_FUNDACAO, TO_DATE(SYSDATE) AS DATA_ATUAL, TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO),
EXTRACT(YEAR FROM SYSDATE) - EXTRACT(YEAR FROM TO_DATE(P.DT_NASCIMENTO_FUNDACAO)) AS IDADE
FROM ATTENDANCE G JOIN PEOPLE P
ON (G.NU_USUARIO = P.CD_PESSOA)
WHERE EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO)) >= EXTRACT(YEAR FROM SYSDATE) - 1
AND EXTRACT(YEAR FROM TO_DATE(G.DT_SOLICITACAO_ATENDIMENTO)) <= EXTRACT(YEAR FROM SYSDATE)
ORDER BY IDADE DESC
),
TABLE_Y AS (SELECT
SUM(CASE WHEN IDADE BETWEEN 0 AND 18 THEN 1 ELSE 0 END) AS "0-18",
SUM(CASE WHEN IDADE BETWEEN 19 AND 23 THEN 1 ELSE 0 END) AS "19-23",
SUM(CASE WHEN IDADE BETWEEN 24 AND 28 THEN 1 ELSE 0 END) AS "24-28",
SUM(CASE WHEN IDADE BETWEEN 29 AND 33 THEN 1 ELSE 0 END) AS "29-33",
SUM(CASE WHEN IDADE BETWEEN 34 AND 38 THEN 1 ELSE 0 END) AS "34-38",
SUM(CASE WHEN IDADE BETWEEN 39 AND 43 THEN 1 ELSE 0 END) AS "39-43",
SUM(CASE WHEN IDADE BETWEEN 44 AND 48 THEN 1 ELSE 0 END) AS "44-48",
SUM(CASE WHEN IDADE BETWEEN 49 AND 53 THEN 1 ELSE 0 END) AS "49-53",
SUM(CASE WHEN IDADE BETWEEN 54 AND 58 THEN 1 ELSE 0 END) AS "54-58",
SUM(CASE WHEN IDADE >= 59 THEN 1 ELSE 0 END) AS "59+",
SUM(CASE WHEN IDADE IS NULL THEN 1 ELSE 0 END) AS "VALORES_NULL",
COUNT(IDADE) AS TOTAL_IDADE
FROM TABLE_X
)
SELECT
ROUND(("0-18" / TOTAL_IDADE) * 100, 2) ||'%' AS "0-18",
ROUND(("19-23" / TOTAL_IDADE) * 100, 2) ||'%' AS "19-23",
ROUND(("24-28" / TOTAL_IDADE) * 100, 2) ||'%' AS "24-28",
ROUND(("29-33" / TOTAL_IDADE) * 100, 2) ||'%' AS "29-33",
ROUND(("34-38" / TOTAL_IDADE) * 100, 2) ||'%' AS "29-33",
ROUND(("39-43" / TOTAL_IDADE) * 100, 2) ||'%' AS "34-38",
ROUND(("44-48" / TOTAL_IDADE) * 100, 2) ||'%' AS "44-48",
ROUND(("49-53" / TOTAL_IDADE) * 100, 2) ||'%' AS "49-53",
ROUND(("54-58" / TOTAL_IDADE) * 100, 2) ||'%' AS "54-58",
ROUND(("59+" / TOTAL_IDADE) * 100, 2) ||'%' AS "59+"
FROM TABLE_Y
结果我有：