如何在不同條件下獲得不同的計數

Question

我的數據看起來像這樣

我有 4 個不同的結果類別：正常、輕度、中度和重度

我想獲取每個類別的患者數量，如果是嚴重類別，我想根據其相應的結果值（例如，Severe_500_to_599、Severe_600_to_699、Severe_700_to_799 和severe_>800）進一步將其划分為更多類別，然后獲取計數這些子類別。

所以我的結果應該是這樣的，

目前我正在通過提出具體條件來進行個人計數，

select count(distinct SOURCE_PATIENT_ID)
from Table1
where RESULT_CATEGORY = 'SEVERE' and RESULT_VALUE_STANDARDIZED between '1100' and '1199' and RESULT_UNIT <> 'MG/DL';

有沒有辦法在一個查詢中獲得所有結果？

謝謝！

Answer 1

您可以使用 Union all 來組合您的查詢

select  'SEVERE-599' as ResultCategory,
        count(distinct SOURCE_PATIENT_ID)
from Table1
where RESULT_CATEGORY = 'SEVERE' and RESULT_VALUE_STANDARDIZED between '500' and '599' and RESULT_UNIT <> 'MG/DL'
Union ALL
select  'SEVERE-699' as ResultCategory,
        count(distinct SOURCE_PATIENT_ID)
from Table1
where RESULT_CATEGORY = 'SEVERE' and RESULT_VALUE_STANDARDIZED between '600' and '699' and RESULT_UNIT <> 'MG/DL'

Answer 2

此處可以使用帶有QUALIFY子句的 Window function 將數據集划分為單獨的桶，然后從這些桶中獲取單個值。

以下查詢 -

with data (patient_id, result_category, result_value) as (
select * from values 
(110,'Normal',35),
(123,'Normal',135),
(111,'Mild',151),
(191,'Mild',199),
(112,'Moderate',211),
(113,'Severe',501),
(115,'Severe',500),
(144,'Severe',723),
(146,'Severe',801)
)
select 
case 
    when result_category = 'Severe' 
        AND result_value between 500 and 599 
    then 
        'Severe Bucket (500-599)' 
    when result_category = 'Severe' 
        AND result_value between 700 and 799 
    then 
        'Severe Bucket (700-799)' 
    when result_category = 'Severe' 
        AND result_value between 800 and 899 
    then 
        'Severe Bucket (800-899)' 
    else 
        result_category
end new_result_category, 
sum(result_value) over (partition by new_result_category) patient_count 
from data
qualify row_number() over (partition by new_result_category 
order by patient_id desc) = 1;

將給出如下結果 -

NEW_RESULT_CATEGORY	PATIENT_COUNT 個
溫和的	350
緩和	211
嚴重鏟斗 (700-799)	723
嚴重鏟斗 (500-599)	1001
普通的	170
嚴重鏟斗 (800-899)	801

Answer 3

我可以建議被低估的grouping sets嗎？

with cte as

(select *, case when result_value between 500 and 599  then 'Severe Bucket (500-599)' 
                when result_value between 700 and 799 then  'Severe Bucket (700-799)' 
                when result_value between 800 and 899 then 'Severe Bucket (800-899)' 
           end as breakdown
 from data)

select coalesce(result_category,breakdown) as category,
       count(distinct patient_id) as patient_count 
from cte
group by grouping sets (result_category,breakdown)
having coalesce(result_category,breakdown) is not null