chore: update sql problems

Author: thinkasany

solution/1000-1099/1083.Sales Analysis II/README.md

@@ -100,7 +100,7 @@ FROM
     Sales
     JOIN Product USING (product_id)
 GROUP BY 1
-HAVING sum(product_name = 'S8') > 0 AND sum(product_name = 'iPhone') = 0;
+HAVING SUM(product_name = 'S8') > 0 AND SUM(product_name = 'iPhone') = 0;
 ```
 
 <!-- tabs:end -->

solution/1000-1099/1083.Sales Analysis II/README_EN.md

@@ -90,7 +90,7 @@ FROM
     Sales
     JOIN Product USING (product_id)
 GROUP BY 1
-HAVING sum(product_name = 'S8') > 0 AND sum(product_name = 'iPhone') = 0;
+HAVING SUM(product_name = 'S8') > 0 AND SUM(product_name = 'iPhone') = 0;
 ```
 
 <!-- tabs:end -->

solution/1000-1099/1083.Sales Analysis II/Solution.sql

@@ -4,4 +4,4 @@ FROM
     Sales
     JOIN Product USING (product_id)
 GROUP BY 1
-HAVING sum(product_name = 'S8') > 0 AND sum(product_name = 'iPhone') = 0;
+HAVING SUM(product_name = 'S8') > 0 AND SUM(product_name = 'iPhone') = 0;

solution/1100-1199/1173.Immediate Food Delivery I/README.md

@@ -69,7 +69,7 @@ Delivery 表:
 ```sql
 # Write your MySQL query statement below
 SELECT
-    round(sum(order_date = customer_pref_delivery_date) / count(1) * 100, 2) AS immediate_percentage
+    ROUND(SUM(order_date = customer_pref_delivery_date) / COUNT(1) * 100, 2) AS immediate_percentage
 FROM Delivery;
 ```
 

solution/1100-1199/1173.Immediate Food Delivery I/README_EN.md

@@ -65,7 +65,7 @@ We can use the `sum` function to count the number of instant orders, and then di
 ```sql
 # Write your MySQL query statement below
 SELECT
-    round(sum(order_date = customer_pref_delivery_date) / count(1) * 100, 2) AS immediate_percentage
+    ROUND(SUM(order_date = customer_pref_delivery_date) / COUNT(1) * 100, 2) AS immediate_percentage
 FROM Delivery;
 ```
 

solution/1100-1199/1173.Immediate Food Delivery I/Solution.sql

@@ -1,4 +1,4 @@
 # Write your MySQL query statement below
 SELECT
-    round(sum(order_date = customer_pref_delivery_date) / count(1) * 100, 2) AS immediate_percentage
+    ROUND(SUM(order_date = customer_pref_delivery_date) / COUNT(1) * 100, 2) AS immediate_percentage
 FROM Delivery;

solution/2000-2099/2072.The Winner University/README.md

@@ -155,7 +155,7 @@ SELECT
         ELSE 'No Winner'
     END AS winner
 FROM
-    (SELECT count(1) AS cnt FROM NewYork WHERE score >= 90) AS n1,
+    (SELECT COUNT(1) AS cnt FROM NewYork WHERE score >= 90) AS n1,
     (SELECT COUNT(1) AS cnt FROM California WHERE score >= 90) AS n2;
 ```
 

solution/2000-2099/2072.The Winner University/README_EN.md

@@ -148,7 +148,7 @@ SELECT
         ELSE 'No Winner'
     END AS winner
 FROM
-    (SELECT count(1) AS cnt FROM NewYork WHERE score >= 90) AS n1,
+    (SELECT COUNT(1) AS cnt FROM NewYork WHERE score >= 90) AS n1,
     (SELECT COUNT(1) AS cnt FROM California WHERE score >= 90) AS n2;
 ```
 

solution/2000-2099/2072.The Winner University/Solution.sql

@@ -6,5 +6,5 @@ SELECT
         ELSE 'No Winner'
     END AS winner
 FROM
-    (SELECT count(1) AS cnt FROM NewYork WHERE score >= 90) AS n1,
+    (SELECT COUNT(1) AS cnt FROM NewYork WHERE score >= 90) AS n1,
     (SELECT COUNT(1) AS cnt FROM California WHERE score >= 90) AS n2;

solution/2300-2399/2329.Product Sales Analysis V/README.md

@@ -94,7 +94,7 @@ Product 表：
 
 ```sql
 # Write your MySQL query statement below
-SELECT user_id, sum(quantity * price) AS spending
+SELECT user_id, SUM(quantity * price) AS spending
 FROM
     Sales
     JOIN Product USING (product_id)

solution/2300-2399/2329.Product Sales Analysis V/README_EN.md

@@ -89,7 +89,7 @@ Users 102 and 103 spent the same amount and we break the tie by their ID while u
 
 ```sql
 # Write your MySQL query statement below
-SELECT user_id, sum(quantity * price) AS spending
+SELECT user_id, SUM(quantity * price) AS spending
 FROM
     Sales
     JOIN Product USING (product_id)

solution/2300-2399/2329.Product Sales Analysis V/Solution.sql

@@ -1,5 +1,5 @@
 # Write your MySQL query statement below
-SELECT user_id, sum(quantity * price) AS spending
+SELECT user_id, SUM(quantity * price) AS spending
 FROM
     Sales
     JOIN Product USING (product_id)