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109 lines
22 KiB
JSON
109 lines
22 KiB
JSON
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"title": "Seasonal Sales Analysis",
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"content": "<p>Table: <code>sales</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| sale_id | int |\n| product_id | int |\n| sale_date | date |\n| quantity | int |\n| price | decimal |\n+---------------+---------+\nsale_id is the unique identifier for this table.\nEach row contains information about a product sale including the product_id, date of sale, quantity sold, and price per unit.\n</pre>\n\n<p>Table: <code>products</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| product_id | int |\n| product_name | varchar |\n| category | varchar |\n+---------------+---------+\nproduct_id is the unique identifier for this table.\nEach row contains information about a product including its name and category.\n</pre>\n\n<p>Write a solution to find the most popular product category for each season. The seasons are defined as:</p>\n\n<ul>\n\t<li><strong>Winter</strong>: December, January, February</li>\n\t<li><strong>Spring</strong>: March, April, May</li>\n\t<li><strong>Summer</strong>: June, July, August</li>\n\t<li><strong>Fall</strong>: September, October, November</li>\n</ul>\n\n<p>The <strong>popularity</strong> of a <strong>category</strong> is determined by the <strong>total quantity sold</strong> in that <strong>season</strong>. If there is a <strong>tie</strong>, select the category with the highest <strong>total revenue</strong> (<code>quantity × price</code>).</p>\n\n<p>Return <em>the result table ordered by season in <strong>ascending</strong> order</em>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example:</strong></p>\n\n<div class=\"example-block\">\n<p><strong>Input:</strong></p>\n\n<p>sales table:</p>\n\n<pre class=\"example-io\">\n+---------+------------+------------+----------+-------+\n| sale_id | product_id | sale_date | quantity | price |\n+---------+------------+------------+----------+-------+\n| 1 | 1 | 2023-01-15 | 5 | 10.00 |\n| 2 | 2 | 2023-01-20 | 4 | 15.00 |\n| 3 | 3 | 2023-03-10 | 3 | 18.00 |\n| 4 | 4 | 2023-04-05 | 1 | 20.00 |\n| 5 | 1 | 2023-05-20 | 2 | 10.00 |\n| 6 | 2 | 2023-06-12 | 4 | 15.00 |\n| 7 | 5 | 2023-06-15 | 5 | 12.00 |\n| 8 | 3 | 2023-07-24 | 2 | 18.00 |\n| 9 | 4 | 2023-08-01 | 5 | 20.00 |\n| 10 | 5 | 2023-09-03 | 3 | 12.00 |\n| 11 | 1 | 2023-09-25 | 6 | 10.00 |\n| 12 | 2 | 2023-11-10 | 4 | 15.00 |\n| 13 | 3 | 2023-12-05 | 6 | 18.00 |\n| 14 | 4 | 2023-12-22 | 3 | 20.00 |\n| 15 | 5 | 2024-02-14 | 2 | 12.00 |\n+---------+------------+------------+----------+-------+\n</pre>\n\n<p>products table:</p>\n\n<pre class=\"example-io\">\n+------------+-----------------+----------+\n| product_id | product_name | category |\n+------------+-----------------+----------+\n| 1 | Warm Jacket | Apparel |\n| 2 | Designer Jeans | Apparel |\n| 3 | Cutting Board | Kitchen |\n| 4 | Smart Speaker | Tech |\n| 5 | Yoga Mat | Fitness |\n+------------+-----------------+----------+\n</pre>\n\n<p><strong>Output:</strong></p>\n\n<pre class=\"example-io\">\n+---------+----------+----------------+---------------+\n| season | category | total_quantity | total_revenue |\n+---------+----------+----------------+---------------+\n| Fall | Apparel | 10 | 120.00 |\n| Spring | Kitchen | 3 | 54.00 |\n| Summer | Tech | 5 | 100.00 |\n| Winter | Apparel | 9 | 110.00 |\n+---------+----------+----------------+---------------+\n</pre>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li><strong>Fall (Sep, Oct, Nov):</strong>\n\n\t<ul>\n\t\t<li>Apparel: 10 items sold (6 Jackets in Sep, 4 Jeans in Nov), revenue $120.00 (6×$10.00 + 4×$15.00)</li>\n\t\t<li>Fitness: 3 Yoga Mats sold in Sep, revenue $36.00</li>\n\t\t<li>Most popular: Apparel with highest total quantity (10)</li>\n\t</ul>\n\t</li>\n\t<li><strong>Spring (Mar, Apr, May):</strong>\n\t<ul>\n\t\t<li>Kitchen: 3 Cutting Boards sold in Mar, revenue $54.00</li>\n\t\t<li>Tech: 1 Smart Speaker sold in Apr, revenue $20.00</li>\n\t\t<li>Apparel: 2 Warm Jackets sold in May, revenue $20.00</li>\n\t\t<li>Most popular: Kitchen with highest total quantity (3) and highest revenue ($54.00)</li>\n\t</ul>\n\t</li>\n\t<li><strong>Summer (Jun, Jul, Aug):</strong>\n\t<ul>\n\t\t<li>Apparel: 4 Designer Jeans sold in Jun, revenue $60.00</li>\n\t\t<li>Fitness: 5 Yoga Mats sold in Jun, revenue $60.00</li>\n\t\t<li>Kitchen: 2 Cutting Boards sold in Jul, revenue $36.00</li>\n\t\t<li>Tech: 5 Smart Speakers sold in Aug, revenue $100.00</li>\n\t\t<li>Most popular: Tech and Fitness both have 5 items, but Tech has higher revenue ($100.00 vs $60.00)</li>\n\t</ul>\n\t</li>\n\t<li><strong>Winter (Dec, Jan, Feb):</strong>\n\t<ul>\n\t\t<li>Apparel: 9 items sold (5 Jackets in Jan, 4 Jeans in Jan), revenue $110.00</li>\n\t\t<li>Kitchen: 6 Cutting Boards sold in Dec, revenue $108.00</li>\n\t\t<li>Tech: 3 Smart Speakers sold in Dec, revenue $60.00</li>\n\t\t<li>Fitness: 2 Yoga Mats sold in Feb, revenue $24.00</li>\n\t\t<li>Most popular: Apparel with highest total quantity (9) and highest revenue ($110.00)</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>The result table is ordered by season in ascending order.</p>\n</div>\n",
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"translatedTitle": "季节性销售分析",
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"translatedContent": "<p>表：<code>sales</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| sale_id | int |\n| product_id | int |\n| sale_date | date |\n| quantity | int |\n| price | decimal |\n+---------------+---------+\nsale_id 是这张表的唯一主键。\n每一行包含一件产品的销售信息，包括 product_id，销售日期，销售数量，以及单价。\n</pre>\n\n<p>表：<code>products</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| product_id | int |\n| product_name | varchar |\n| category | varchar |\n+---------------+---------+\nproduct_id 是这张表的唯一主键。\n每一行包含一件产品的信息，包括它的名字和分类。\n</pre>\n\n<p>编写一个解决方案来找到每个季节最受欢迎的产品分类。季节定义如下：</p>\n\n<ul>\n\t<li><strong>冬季</strong>：十二月，一月，二月</li>\n\t<li><strong>春季</strong>：三月，四月，五月</li>\n\t<li><strong>夏季</strong>：六月，七月，八月</li>\n\t<li><strong>秋季</strong>：九月，十月，十一月</li>\n</ul>\n\n<p>一个 <strong>分类</strong> 的 <b>受欢迎度</b> 由某个 <strong>季节</strong> 的 <strong>总销售量</strong> 决定。如果有并列，选择总收入最高的类别 (<code>quantity × price</code>)。</p>\n\n<p>返回结果表以季节 <strong>升序</strong> 排序。</p>\n\n<p>结果格式如下所示。</p>\n\n<p> </p>\n\n<p><strong class=\"example\">示例：</strong></p>\n\n<div class=\"example-block\">\n<p><strong>输入：</strong></p>\n\n<p>sales 表：</p>\n\n<pre class=\"example-io\">\n+---------+------------+------------+----------+-------+\n| sale_id | product_id | sale_date | quantity | price |\n+---------+------------+------------+----------+-------+\n| 1 | 1 | 2023-01-15 | 5 | 10.00 |\n| 2 | 2 | 2023-01-20 | 4 | 15.00 |\n| 3 | 3 | 2023-03-10 | 3 | 18.00 |\n| 4 | 4 | 2023-04-05 | 1 | 20.00 |\n| 5 | 1 | 2023-05-20 | 2 | 10.00 |\n| 6 | 2 | 2023-06-12 | 4 | 15.00 |\n| 7 | 5 | 2023-06-15 | 5 | 12.00 |\n| 8 | 3 | 2023-07-24 | 2 | 18.00 |\n| 9 | 4 | 2023-08-01 | 5 | 20.00 |\n| 10 | 5 | 2023-09-03 | 3 | 12.00 |\n| 11 | 1 | 2023-09-25 | 6 | 10.00 |\n| 12 | 2 | 2023-11-10 | 4 | 15.00 |\n| 13 | 3 | 2023-12-05 | 6 | 18.00 |\n| 14 | 4 | 2023-12-22 | 3 | 20.00 |\n| 15 | 5 | 2024-02-14 | 2 | 12.00 |\n+---------+------------+------------+----------+-------+\n</pre>\n\n<p>products 表：</p>\n\n<pre class=\"example-io\">\n+------------+-----------------+----------+\n| product_id | product_name | category |\n+------------+-----------------+----------+\n| 1 | Warm Jacket | Apparel |\n| 2 | Designer Jeans | Apparel |\n| 3 | Cutting Board | Kitchen |\n| 4 | Smart Speaker | Tech |\n| 5 | Yoga Mat | Fitness |\n+------------+-----------------+----------+\n</pre>\n\n<p><strong>输出：</strong></p>\n\n<pre class=\"example-io\">\n+---------+----------+----------------+---------------+\n| season | category | total_quantity | total_revenue |\n+---------+----------+----------------+---------------+\n| Fall | Apparel | 10 | 120.00 |\n| Spring | Kitchen | 3 | 54.00 |\n| Summer | Tech | 5 | 100.00 |\n| Winter | Apparel | 9 | 110.00 |\n+---------+----------+----------------+---------------+\n</pre>\n\n<p><strong>解释：</strong></p>\n\n<ul>\n\t<li><strong>秋季（九月，十月，十一月）：</strong>\n\n\t<ul>\n\t\t<li>服装：售出 10 件商品（在 9 月有 6 件夹克，在 11 月 有 4 条牛仔裤），收入 $120.00（6×$10.00 + 4×$15.00）</li>\n\t\t<li>健身: 9 月售出 3 张瑜伽垫，收入 $36.00</li>\n\t\t<li>最受欢迎：服装总数量最多（10）</li>\n\t</ul>\n\t</li>\n\t<li><strong>春季（三月，四月，五月）：</strong>\n\t<ul>\n\t\t<li>厨房：5 月 售出 3 张菜板，收入 $54.00</li>\n\t\t<li>科技：4 月 售出 1 台智能音箱，收入 $20.00</li>\n\t\t<li>服装: 五月售出 2 件保暖夹克，收入 $20.00</li>\n\t\t<li>最受欢迎：厨房总数量最多（3）且收入最多（$54.00）</li>\n\t</ul>\n\t</li>\n\t<li><strong>夏季（六月，七月，八月</strong><strong>）：</strong>\n\t<ul>\n\t\t<li>服装：六月售出 4 件名牌牛仔裤，收入 $60.00</li>\n\t\t<li>健身：六月售出 5 张瑜伽垫，收入 $60.00</li>\n\t\t<li>厨房：七月售出 2 张菜板，收入 $36.00</li>\n\t\t<li>科技：八月售出 5 台智能音箱，收入 $100.00</li>\n\t\t<li>最受欢迎：科技和健身都有 5 件商品，但科技收入更多（$100.00 vs $60.00）</li>\n\t</ul>\n\t</li>\n\t<li><strong>冬季（十二月，一月，二月</strong><strong>）：</strong>\n\t<ul>\n\t\t<li>服装：售出 9 件商品（一月有 5 件夹克和 4 条牛仔裤），收入 $110.00</li>\n\t\t<li>厨房：十二月售出 6 张菜板，收入 $108.00</li>\n\t\t<li>科技：十二月售出 3 台智能音箱，收入 $60.00</li>\n\t\t<li>健身：二月售出 2 张瑜伽垫，收入 $24.00</li>\n\t\t<li>最受欢迎：服装总数量最多（9）且收入最多（$110.00）</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>结果表以季节升序排序。</p>\n</div>\n",
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"sampleTestCase": "{\"headers\":{\"sales\":[\"sale_id\",\"product_id\",\"sale_date\",\"quantity\",\"price\"],\"products\":[\"product_id\",\"product_name\",\"category\"]},\"rows\":{\"sales\":[[1,1,\"2023-01-15\",5,10.00],[2,2,\"2023-01-20\",4,15.00],[3,3,\"2023-03-10\",3,18.00],[4,4,\"2023-04-05\",1,20.00],[5,1,\"2023-05-20\",2,10.00],[6,2,\"2023-06-12\",4,15.00],[7,5,\"2023-06-15\",5,12.00],[8,3,\"2023-07-24\",2,18.00],[9,4,\"2023-08-01\",5,20.00],[10,5,\"2023-09-03\",3,12.00],[11,1,\"2023-09-25\",6,10.00],[12,2,\"2023-11-10\",4,15.00],[13,3,\"2023-12-05\",6,18.00],[14,4,\"2023-12-22\",3,20.00],[15,5,\"2024-02-14\",2,12.00]],\"products\":[[1,\"Warm Jacket\",\"Apparel\"],[2,\"Designer Jeans\",\"Apparel\"],[3,\"Cutting Board\",\"Kitchen\"],[4,\"Smart Speaker\",\"Tech\"],[5,\"Yoga Mat\",\"Fitness\"]]}}",
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"Truncate table sales",
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"insert into sales (sale_id, product_id, sale_date, quantity, price) values ('1', '1', '2023-01-15', '5', '10.0')",
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|
||
"exampleTestcases": "{\"headers\":{\"sales\":[\"sale_id\",\"product_id\",\"sale_date\",\"quantity\",\"price\"],\"products\":[\"product_id\",\"product_name\",\"category\"]},\"rows\":{\"sales\":[[1,1,\"2023-01-15\",5,10.00],[2,2,\"2023-01-20\",4,15.00],[3,3,\"2023-03-10\",3,18.00],[4,4,\"2023-04-05\",1,20.00],[5,1,\"2023-05-20\",2,10.00],[6,2,\"2023-06-12\",4,15.00],[7,5,\"2023-06-15\",5,12.00],[8,3,\"2023-07-24\",2,18.00],[9,4,\"2023-08-01\",5,20.00],[10,5,\"2023-09-03\",3,12.00],[11,1,\"2023-09-25\",6,10.00],[12,2,\"2023-11-10\",4,15.00],[13,3,\"2023-12-05\",6,18.00],[14,4,\"2023-12-22\",3,20.00],[15,5,\"2024-02-14\",2,12.00]],\"products\":[[1,\"Warm Jacket\",\"Apparel\"],[2,\"Designer Jeans\",\"Apparel\"],[3,\"Cutting Board\",\"Kitchen\"],[4,\"Smart Speaker\",\"Tech\"],[5,\"Yoga Mat\",\"Fitness\"]]}}",
|
||
"__typename": "QuestionNode"
|
||
}
|
||
}
|
||
} |