mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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107 lines
20 KiB
JSON
107 lines
20 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "3848",
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"questionFrontendId": "3497",
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"categoryTitle": "Database",
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"boundTopicId": 3630936,
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"title": "Analyze Subscription Conversion ",
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"titleSlug": "analyze-subscription-conversion",
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"content": "<p>Table: <code>UserActivity</code></p>\n\n<pre>\n+------------------+---------+\n| Column Name | Type | \n+------------------+---------+\n| user_id | int |\n| activity_date | date |\n| activity_type | varchar |\n| activity_duration| int |\n+------------------+---------+\n(user_id, activity_date, activity_type) is the unique key for this table.\nactivity_type is one of ('free_trial', 'paid', 'cancelled').\nactivity_duration is the number of minutes the user spent on the platform that day.\nEach row represents a user's activity on a specific date.\n</pre>\n\n<p>A subscription service wants to analyze user behavior patterns. The company offers a <code>7</code>-day <strong>free trial</strong>, after which users can subscribe to a <strong>paid plan</strong> or <strong>cancel</strong>. Write a solution to:</p>\n\n<ol>\n\t<li>Find users who converted from free trial to paid subscription</li>\n\t<li>Calculate each user's <strong>average daily activity duration</strong> during their <strong>free trial</strong> period (rounded to <code>2</code> decimal places)</li>\n\t<li>Calculate each user's <strong>average daily activity duration</strong> during their <strong>paid</strong> subscription period (rounded to <code>2</code> decimal places)</li>\n</ol>\n\n<p>Return <em>the result table ordered by </em><code>user_id</code><em> 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>UserActivity table:</p>\n\n<pre class=\"example-io\">\n+---------+---------------+---------------+-------------------+\n| user_id | activity_date | activity_type | activity_duration |\n+---------+---------------+---------------+-------------------+\n| 1 | 2023-01-01 | free_trial | 45 |\n| 1 | 2023-01-02 | free_trial | 30 |\n| 1 | 2023-01-05 | free_trial | 60 |\n| 1 | 2023-01-10 | paid | 75 |\n| 1 | 2023-01-12 | paid | 90 |\n| 1 | 2023-01-15 | paid | 65 |\n| 2 | 2023-02-01 | free_trial | 55 |\n| 2 | 2023-02-03 | free_trial | 25 |\n| 2 | 2023-02-07 | free_trial | 50 |\n| 2 | 2023-02-10 | cancelled | 0 |\n| 3 | 2023-03-05 | free_trial | 70 |\n| 3 | 2023-03-06 | free_trial | 60 |\n| 3 | 2023-03-08 | free_trial | 80 |\n| 3 | 2023-03-12 | paid | 50 |\n| 3 | 2023-03-15 | paid | 55 |\n| 3 | 2023-03-20 | paid | 85 |\n| 4 | 2023-04-01 | free_trial | 40 |\n| 4 | 2023-04-03 | free_trial | 35 |\n| 4 | 2023-04-05 | paid | 45 |\n| 4 | 2023-04-07 | cancelled | 0 |\n+---------+---------------+---------------+-------------------+\n</pre>\n\n<p><strong>Output:</strong></p>\n\n<pre class=\"example-io\">\n+---------+--------------------+-------------------+\n| user_id | trial_avg_duration | paid_avg_duration |\n+---------+--------------------+-------------------+\n| 1 | 45.00 | 76.67 |\n| 3 | 70.00 | 63.33 |\n| 4 | 37.50 | 45.00 |\n+---------+--------------------+-------------------+\n</pre>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li><strong>User 1:</strong>\n\n\t<ul>\n\t\t<li>Had 3 days of free trial with durations of 45, 30, and 60 minutes.</li>\n\t\t<li>Average trial duration: (45 + 30 + 60) / 3 = 45.00 minutes.</li>\n\t\t<li>Had 3 days of paid subscription with durations of 75, 90, and 65 minutes.</li>\n\t\t<li>Average paid duration: (75 + 90 + 65) / 3 = 76.67 minutes.</li>\n\t</ul>\n\t</li>\n\t<li><strong>User 2:</strong>\n\t<ul>\n\t\t<li>Had 3 days of free trial with durations of 55, 25, and 50 minutes.</li>\n\t\t<li>Average trial duration: (55 + 25 + 50) / 3 = 43.33 minutes.</li>\n\t\t<li>Did not convert to a paid subscription (only had free_trial and cancelled activities).</li>\n\t\t<li>Not included in the output because they didn't convert to paid.</li>\n\t</ul>\n\t</li>\n\t<li><strong>User 3:</strong>\n\t<ul>\n\t\t<li>Had 3 days of free trial with durations of 70, 60, and 80 minutes.</li>\n\t\t<li>Average trial duration: (70 + 60 + 80) / 3 = 70.00 minutes.</li>\n\t\t<li>Had 3 days of paid subscription with durations of 50, 55, and 85 minutes.</li>\n\t\t<li>Average paid duration: (50 + 55 + 85) / 3 = 63.33 minutes.</li>\n\t</ul>\n\t</li>\n\t<li><strong>User 4:</strong>\n\t<ul>\n\t\t<li>Had 2 days of free trial with durations of 40 and 35 minutes.</li>\n\t\t<li>Average trial duration: (40 + 35) / 2 = 37.50 minutes.</li>\n\t\t<li>Had 1 day of paid subscription with duration of 45 minutes before cancelling.</li>\n\t\t<li>Average paid duration: 45.00 minutes.</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>The result table only includes users who converted from free trial to paid subscription (users 1, 3, and 4), and is ordered by user_id in ascending order.</p>\n</div>\n",
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"translatedTitle": "分析订阅转化",
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"translatedContent": "<p>表：<code>UserActivity</code></p>\n\n<pre>\n+------------------+---------+\n| Column Name | Type | \n+------------------+---------+\n| user_id | int |\n| activity_date | date |\n| activity_type | varchar |\n| activity_duration| int |\n+------------------+---------+\n(user_id, activity_date, activity_type) 是这张表的唯一主键。\nactivity_type 是('free_trial', 'paid', 'cancelled')中的一个。\nactivity_duration 是用户当天在平台上花费的分钟数。\n每一行表示一个用户在特定日期的活动。\n</pre>\n\n<p>订阅服务想要分析用户行为模式。公司提供7天免费试用，试用结束后，用户可以选择订阅 <strong>付费计划</strong> 或 <strong>取消</strong>。编写解决方案：</p>\n\n<ol>\n\t<li>查找从免费试用转为付费订阅的用户</li>\n\t<li>计算每位用户在 <strong>免费试用</strong> 期间的 <strong>平均每日活动时长</strong>（四舍五入至小数点后 <code>2</code> 位）</li>\n\t<li>计算每位用户在 <strong>付费</strong> 订阅期间的 <strong>平均每日活动时长</strong>（四舍五入到小数点后 <code>2</code> 位）</li>\n</ol>\n\n<p>返回结果表以<em> </em><code>user_id</code><em> </em><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>UserActivity 表：</p>\n\n<pre class=\"example-io\">\n+---------+---------------+---------------+-------------------+\n| user_id | activity_date | activity_type | activity_duration |\n+---------+---------------+---------------+-------------------+\n| 1 | 2023-01-01 | free_trial | 45 |\n| 1 | 2023-01-02 | free_trial | 30 |\n| 1 | 2023-01-05 | free_trial | 60 |\n| 1 | 2023-01-10 | paid | 75 |\n| 1 | 2023-01-12 | paid | 90 |\n| 1 | 2023-01-15 | paid | 65 |\n| 2 | 2023-02-01 | free_trial | 55 |\n| 2 | 2023-02-03 | free_trial | 25 |\n| 2 | 2023-02-07 | free_trial | 50 |\n| 2 | 2023-02-10 | cancelled | 0 |\n| 3 | 2023-03-05 | free_trial | 70 |\n| 3 | 2023-03-06 | free_trial | 60 |\n| 3 | 2023-03-08 | free_trial | 80 |\n| 3 | 2023-03-12 | paid | 50 |\n| 3 | 2023-03-15 | paid | 55 |\n| 3 | 2023-03-20 | paid | 85 |\n| 4 | 2023-04-01 | free_trial | 40 |\n| 4 | 2023-04-03 | free_trial | 35 |\n| 4 | 2023-04-05 | paid | 45 |\n| 4 | 2023-04-07 | cancelled | 0 |\n+---------+---------------+---------------+-------------------+\n</pre>\n\n<p><strong>输出：</strong></p>\n\n<pre class=\"example-io\">\n+---------+--------------------+-------------------+\n| user_id | trial_avg_duration | paid_avg_duration |\n+---------+--------------------+-------------------+\n| 1 | 45.00 | 76.67 |\n| 3 | 70.00 | 63.33 |\n| 4 | 37.50 | 45.00 |\n+---------+--------------------+-------------------+\n</pre>\n\n<p><strong>解释：</strong></p>\n\n<ul>\n\t<li><strong>用户 1:</strong>\n\n\t<ul>\n\t\t<li>体验了 3 天免费试用，时长分别为 45，30 和 60 分钟。</li>\n\t\t<li>平均试用时长：(45 + 30 + 60) / 3 = 45.00 分钟。</li>\n\t\t<li>拥有 3 天付费订阅，时长分别为 75，90 和 65分钟。</li>\n\t\t<li>平均花费市场：(75 + 90 + 65) / 3 = 76.67 分钟。</li>\n\t</ul>\n\t</li>\n\t<li><strong>用户 2:</strong>\n\t<ul>\n\t\t<li>体验了 3 天免费试用，时长分别为 55，25 和 50 分钟。</li>\n\t\t<li>平均试用时长：(55 + 25 + 50) / 3 = 43.33 分钟。</li>\n\t\t<li>没有转为付费订阅（只有 free_trial 和 cancelled 活动）。</li>\n\t\t<li>未包含在输出中，因为他未转换为付费用户。</li>\n\t</ul>\n\t</li>\n\t<li><strong>用户 3:</strong>\n\t<ul>\n\t\t<li>体验了 3 天免费试用，时长分别为 70，60 和 80 分钟。</li>\n\t\t<li>平均试用时长：(70 + 60 + 80) / 3 = 70.00 分钟。</li>\n\t\t<li>拥有 3 天付费订阅，时长分别为 50，55 和 85 分钟。</li>\n\t\t<li>平均花费时长：(50 + 55 + 85) / 3 = 63.33 分钟。</li>\n\t</ul>\n\t</li>\n\t<li><strong>用户 4:</strong>\n\t<ul>\n\t\t<li>体验了 2 天免费试用，时长分别为 40 和 35 分钟。</li>\n\t\t<li>平均试用时长：(40 + 35) / 2 = 37.50 分钟。</li>\n\t\t<li>在取消前有 1 天的付费订阅，时长为45分钟。</li>\n\t\t<li>平均花费时长：45.00 分钟。</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>结果表仅包括从免费试用转为付费订阅的用户（用户 1，3 和 4），并且以 user_id 升序排序。</p>\n</div>\n",
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"sampleTestCase": "{\"headers\":{\"UserActivity\":[\"user_id\",\"activity_date\",\"activity_type\",\"activity_duration\"]},\"rows\":{\"UserActivity\":[[1,\"2023-01-01\",\"free_trial\",45],[1,\"2023-01-02\",\"free_trial\",30],[1,\"2023-01-05\",\"free_trial\",60],[1,\"2023-01-10\",\"paid\",75],[1,\"2023-01-12\",\"paid\",90],[1,\"2023-01-15\",\"paid\",65],[2,\"2023-02-01\",\"free_trial\",55],[2,\"2023-02-03\",\"free_trial\",25],[2,\"2023-02-07\",\"free_trial\",50],[2,\"2023-02-10\",\"cancelled\",0],[3,\"2023-03-05\",\"free_trial\",70],[3,\"2023-03-06\",\"free_trial\",60],[3,\"2023-03-08\",\"free_trial\",80],[3,\"2023-03-12\",\"paid\",50],[3,\"2023-03-15\",\"paid\",55],[3,\"2023-03-20\",\"paid\",85],[4,\"2023-04-01\",\"free_trial\",40],[4,\"2023-04-03\",\"free_trial\",35],[4,\"2023-04-05\",\"paid\",45],[4,\"2023-04-07\",\"cancelled\",0]]}}",
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"insert into UserActivity (user_id, activity_date, activity_type, activity_duration) values ('1', '2023-01-01', 'free_trial', '45')",
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"insert into UserActivity (user_id, activity_date, activity_type, activity_duration) values ('2', '2023-02-07', 'free_trial', '50')",
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"insert into UserActivity (user_id, activity_date, activity_type, activity_duration) values ('3', '2023-03-08', 'free_trial', '80')",
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"insert into UserActivity (user_id, activity_date, activity_type, activity_duration) values ('3', '2023-03-12', 'paid', '50')",
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"insert into UserActivity (user_id, activity_date, activity_type, activity_duration) values ('4', '2023-04-05', 'paid', '45')",
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"insert into UserActivity (user_id, activity_date, activity_type, activity_duration) values ('4', '2023-04-07', 'cancelled', '0')"
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