Add new constraint

src/components/Course/CourseSidebar.tsx

@@ -62,7 +62,7 @@ export function CourseSidebar(props: CourseSidebarProps) {
       </div>
 
       <div className="relative h-full">
-        <div className="absolute inset-0 overflow-y-auto [scrollbar-color:#3f3f46_#27272a;]">
+        <div className="absolute pb-[150px] inset-0 overflow-y-auto [scrollbar-color:#3f3f46_#27272a;]">
           {chapters?.map((chapter, index) => {
             const isActive = openedChapterId === chapter.id;
 

src/data/courses/sql/chapters/data-definition-language/lessons/constraints-challenge.md

@@ -26,15 +26,4 @@ You need to create a table named `book_inventory` for a bookstore system. The ta
 
 ## Expected Output
 
-After executing your query, the table should be created successfully with all specified columns and constraints.
+After executing your query, the table should be created successfully with all specified columns and constraints.
-
-## Notes
-
-This challenge tests your knowledge of:
-
-- SQL data types (INTEGER, VARCHAR, DECIMAL, BOOLEAN, DATE, TIMESTAMP)
-- Primary key and unique constraints
-- NOT NULL constraints
-- DEFAULT values
-- CHECK constraints for data validation
-- Working with date and time data types

src/data/courses/sql/chapters/data-definition-language/lessons/data-analysis-challenge.md

@@ -0,0 +1,88 @@
+---
+title: Data Analysis Challenge
+description: Practice querying temporal data from a bookstore's sales records
+order: 340
+type: challenge
+setup: |
+  ```sql
+  CREATE TABLE sales (
+      id INTEGER PRIMARY KEY,
+      book_title VARCHAR(100),
+      sale_date DATE,
+      quantity INTEGER,
+      amount DECIMAL(10,2)
+  );
+
+  INSERT INTO sales (id, book_title, sale_date, quantity, amount) VALUES
+      (1, 'The Great Gatsby', '2024-03-15', 2, 25.98),
+      (2, 'To Kill a Mockingbird', '2024-03-15', 1, 14.99),
+      (3, '1984', '2024-12-10', 3, 35.97),
+      (4, 'Pride and Prejudice', '2024-03-16', 1, 9.99),
+      (5, 'The Hobbit', '2024-10-17', 2, 33.98),
+      (6, 'The Great Gatsby', '2024-03-17', 1, 12.99),
+      (7, 'Dune', '2024-05-18', 4, 79.96),
+      (8, 'The Hobbit', '2024-03-18', 1, 16.99),
+      (9, '1984', '2024-03-19', 2, 23.98),
+      (10, 'Pride and Prejudice', '2024-03-19', 3, 29.97);
+  ```
+---
+
+Given the following `sales` table containing the books sales data:
+
+| id  | book_title            | sale_date  | quantity | amount |
+| --- | --------------------- | ---------- | -------- | ------ |
+| 1   | The Great Gatsby      | 2024-03-15 | 2        | 25.98  |
+| 2   | To Kill a Mockingbird | 2024-03-15 | 1        | 14.99  |
+| 3   | 1984                  | 2024-12-10 | 3        | 35.97  |
+| 4   | Pride and Prejudice   | 2024-03-16 | 1        | 9.99   |
+| 5   | The Hobbit            | 2024-10-17 | 2        | 33.98  |
+| 6   | The Great Gatsby      | 2024-03-17 | 1        | 12.99  |
+| 7   | Dune                  | 2024-05-18 | 4        | 79.96  |
+| 8   | The Hobbit            | 2024-03-18 | 1        | 16.99  |
+| 9   | 1984                  | 2024-03-19 | 2        | 23.98  |
+| 10  | Pride and Prejudice   | 2024-03-19 | 3        | 29.97  |
+
+with following data types of columns:
+
+| Column     | Type          |
+| ---------- | ------------- |
+| id         | INTEGER       |
+| book_title | VARCHAR(100)  |
+| sale_date  | DATE          |
+| quantity   | INTEGER       |
+| amount     | DECIMAL(10,2) |
+
+Write a query to help the store manager find the sales based on the following criteria:
+
+- All sales that happened between `2024-05-16` and `2024-12-18` (inclusive)
+- Only include sales where the `quantity` sold was more than `1`
+- Order the results by `sale_date`, and then by `amount` in descending order
+- Show only the `book_title`, `sale_date`, `quantity`, `sale_quarter` and `amount` columns
+- Format the `sale_date` as `Month Day, Year` e.g. `December 10, 2024`
+- `sale_quarter` should contain the quarter of the year when the sale happened. You can use the `EXTRACT` function to get the quarter of the year from the `sale_date` column.
+- To format the `sale_date` column, you can use the `TO_CHAR` function with `TO_CHAR(sale_date, 'Month DD, YYYY')`.
+
+## Expected Output
+
+The result should look like this:
+
+| book_title | sale_date         | quantity | sale_quarter | amount |
+| ---------- | ----------------- | -------- | ------------ | ------ |
+| 1984       | December 10, 2024 | 3        | 4            | 35.97  |
+| The Hobbit | October 17, 2024  | 2        | 4            | 33.98  |
+| Dune       | May 18, 2024      | 4        | 2            | 79.96  |
+
+## Solution
+
+```sql
+SELECT
+    book_title,
+    TO_CHAR(sale_date, 'Month DD, YYYY') AS sale_date,
+    quantity,
+    EXTRACT(QUARTER FROM sale_date) AS sale_quarter,
+    amount
+FROM sales
+WHERE sale_date BETWEEN '2024-05-16' AND '2024-12-18'
+  AND quantity > 1
+ORDER BY sale_date, amount DESC;
+```