更新全部线下底稿内容，包括数据处理过程、数据质量评估、分析指标及对应截图

底稿/附件/2 执行SQL/CAATS-01-04 分析指标汇总-线下.txt

@@ -524,7 +524,7 @@ ORDER BY
 
 
 
--- 1.1.3.2 线下按门店性质关联原单统计净销售金额
+-- 1.1.3.2-1 线下按门店性质关联原单统计净销售金额
 SELECT 
 	toYear(a.saletime) AS "年份",
 	a.store_nature AS "门店性质",
@@ -560,7 +560,7 @@ ORDER BY
 
    
    
--- 1.1.3.2 线下按门店性质关联原单统计24年净销售金额
+-- 1.1.3.2-2 线下按门店性质关联原单统计24年净销售金额
 SELECT 
 	toYear(a.saletime) AS "年份",
 	a.store_nature AS "门店性质",
@@ -598,7 +598,7 @@ ORDER BY
    
    
    
--- 1.1.3.3 线下按门店性质不关联原单统计净销售金额
+-- 1.1.3.3-1 线下按门店性质不关联原单统计净销售金额
 SELECT
 	toYear(a.sale_time) AS "年份",
 	a.store_nature AS "门店性质",
@@ -609,7 +609,7 @@ ORDER BY "年份","门店性质";
 
 
 
--- 1.1.3.3 线下按门店性质不关联原单统计24年净销售
+-- 1.1.3.3-2 线下按门店性质不关联原单统计24年净销售
 SELECT
 	toYear(a.sale_time) AS "年份",
 	a.store_nature AS "门店性质",
@@ -937,7 +937,7 @@ ORDER BY
         WHEN "单笔订单销售金额（元）"='≥5000' THEN 7
     END ASC;
    
--- 3.1.2 线下每年各天订单数和销售金额
+-- 3.1.2-1 线下每年各天订单数和销售金额
 -- 各天
 SELECT
     toYear(a.saletime) AS "年份",
@@ -969,7 +969,7 @@ order BY
     "年份","日期";
 
 
--- 3.1.2 线下每年各小时订单数和销售金额
+-- 3.1.2-2 线下每年各小时订单数和销售金额
 -- 各小时
 SELECT
     toYear(a.saletime) AS "年份",
@@ -1254,7 +1254,7 @@ ORDER BY
 -- 6.1.1 线下每年净销售金额前100订单净销售金额
 SELECT 
 	toYear(a.saletime) AS "年份",
-	a.store_code AS "订单编号",
+	a.store_code AS "店铺编码",
 	b.store_name AS "店铺名称",
 	a.receipt_no AS "订单号",
     SUM(CASE
@@ -1540,7 +1540,7 @@ ORDER BY "年份","净销售金额（元）" DESC;
 
 
 
--- 6.2.1线下22年订单支付金额前20名注册用户的销售金额、订单数量
+-- 6.2.1-1线下22年订单支付金额前20名注册用户的销售金额、订单数量
 SELECT
 	'2022' AS "年份",
 	a.member_id AS "注册用户ID",
@@ -1594,7 +1594,7 @@ ORDER BY SUM(c.amt) DESC
 LIMIT 20;
 
 
--- 6.2.1线下23年订单支付金额前20名注册用户的销售金额、订单数量
+-- 6.2.1-2线下23年订单支付金额前20名注册用户的销售金额、订单数量
 SELECT
 	'2023' AS "年份",
 	a.member_id AS "注册用户ID",
@@ -1648,7 +1648,7 @@ ORDER BY SUM(c.amt) DESC
 LIMIT 20;
 
 
--- 6.2.1线下24年订单支付金额前20名注册用户的销售金额、订单数量
+-- 6.2.1-3线下24年订单支付金额前20名注册用户的销售金额、订单数量
 SELECT
 	'2024' AS "年份",
 	a.member_id AS "注册用户ID",
@@ -1702,7 +1702,7 @@ ORDER BY SUM(c.amt) DESC
 LIMIT 20;
 
 
--- 6.2.1线下25年订单支付金额前20名注册用户的销售金额、订单数量
+-- 6.2.1-4线下25年订单支付金额前20名注册用户的销售金额、订单数量
 SELECT
 	'2025' AS "年份",
 	a.member_id AS "注册用户ID",
@@ -1753,6 +1753,4 @@ LEFT JOIN custom_settle_ratio_local r
 ON r.settle_year = toString(toYear(c.saletime)) AND r.store_nature = c.store_nature
 GROUP BY a.member_id
 ORDER BY SUM(c.amt) DESC
-LIMIT 20;
-
-
+LIMIT 20;