From 1d942a5d7ef5ff80ddb963cf6e853311096172bd Mon Sep 17 00:00:00 2001
From: Antim Pal <134076504+iamAntimPal@users.noreply.github.com>
Date: Sun, 23 Mar 2025 22:49:22 +0530
Subject: [PATCH 1/3] Create 1484. Group Sold Products By The Date.SQL

---
 .../1484. Group Sold Products By The Date.SQL                     | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 LeetCode SQL 50 Solution/1484. Group Sold Products By The Date.SQL

diff --git a/LeetCode SQL 50 Solution/1484. Group Sold Products By The Date.SQL b/LeetCode SQL 50 Solution/1484. Group Sold Products By The Date.SQL
new file mode 100644
index 0000000..e69de29

From 30cd2140526112de087159c1d0a038054312ee3c Mon Sep 17 00:00:00 2001
From: Antim Pal <134076504+iamAntimPal@users.noreply.github.com>
Date: Sun, 23 Mar 2025 22:49:30 +0530
Subject: [PATCH 2/3] Update 1484. Group Sold Products By The Date.SQL

---
 .../1484. Group Sold Products By The Date.SQL | 56 +++++++++++++++++++
 1 file changed, 56 insertions(+)

diff --git a/LeetCode SQL 50 Solution/1484. Group Sold Products By The Date.SQL b/LeetCode SQL 50 Solution/1484. Group Sold Products By The Date.SQL
index e69de29..ccf0ab1 100644
--- a/LeetCode SQL 50 Solution/1484. Group Sold Products By The Date.SQL	
+++ b/LeetCode SQL 50 Solution/1484. Group Sold Products By The Date.SQL	
@@ -0,0 +1,56 @@
+1484. Group Sold Products By The Date
+Solved
+Easy
+Topics
+Companies
+SQL Schema
+Pandas Schema
+Table Activities:
+
++-------------+---------+
+| Column Name | Type    |
++-------------+---------+
+| sell_date   | date    |
+| product     | varchar |
++-------------+---------+
+There is no primary key (column with unique values) for this table. It may contain duplicates.
+Each row of this table contains the product name and the date it was sold in a market.
+ 
+
+Write a solution to find for each date the number of different products sold and their names.
+
+The sold products names for each date should be sorted lexicographically.
+
+Return the result table ordered by sell_date.
+
+The result format is in the following example.
+
+ 
+
+Example 1:
+
+Input: 
+Activities table:
++------------+------------+
+| sell_date  | product     |
++------------+------------+
+| 2020-05-30 | Headphone  |
+| 2020-06-01 | Pencil     |
+| 2020-06-02 | Mask       |
+| 2020-05-30 | Basketball |
+| 2020-06-01 | Bible      |
+| 2020-06-02 | Mask       |
+| 2020-05-30 | T-Shirt    |
++------------+------------+
+Output: 
++------------+----------+------------------------------+
+| sell_date  | num_sold | products                     |
++------------+----------+------------------------------+
+| 2020-05-30 | 3        | Basketball,Headphone,T-shirt |
+| 2020-06-01 | 2        | Bible,Pencil                 |
+| 2020-06-02 | 1        | Mask                         |
++------------+----------+------------------------------+
+Explanation: 
+For 2020-05-30, Sold items were (Headphone, Basketball, T-shirt), we sort them lexicographically and separate them by a comma.
+For 2020-06-01, Sold items were (Pencil, Bible), we sort them lexicographically and separate them by a comma.
+For 2020-06-02, the Sold item is (Mask), we just return it.
\ No newline at end of file

From 93720734f89c8c71c3c2ea754cdea2a7e0877038 Mon Sep 17 00:00:00 2001
From: Antim Pal <134076504+iamAntimPal@users.noreply.github.com>
Date: Sun, 23 Mar 2025 22:49:52 +0530
Subject: [PATCH 3/3] Update 1484. Group Sold Products By The Date.SQL

---
 .../1484. Group Sold Products By The Date.SQL          | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/LeetCode SQL 50 Solution/1484. Group Sold Products By The Date.SQL b/LeetCode SQL 50 Solution/1484. Group Sold Products By The Date.SQL
index ccf0ab1..b89bee9 100644
--- a/LeetCode SQL 50 Solution/1484. Group Sold Products By The Date.SQL	
+++ b/LeetCode SQL 50 Solution/1484. Group Sold Products By The Date.SQL	
@@ -53,4 +53,12 @@ Output:
 Explanation: 
 For 2020-05-30, Sold items were (Headphone, Basketball, T-shirt), we sort them lexicographically and separate them by a comma.
 For 2020-06-01, Sold items were (Pencil, Bible), we sort them lexicographically and separate them by a comma.
-For 2020-06-02, the Sold item is (Mask), we just return it.
\ No newline at end of file
+For 2020-06-02, the Sold item is (Mask), we just return it.
+
+
+
+select sell_date, count( DISTINCT product ) as num_sold ,
+    
+    GROUP_CONCAT( DISTINCT product order by product ASC separator ',' ) as products
+    
+        FROM Activities GROUP BY sell_date order by sell_date ASC;
\ No newline at end of file