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            "title": "Game Play Analysis I",
            "titleSlug": "game-play-analysis-i",
            "content": "<p>Table: <code>Activity</code></p>\n\n<pre>\n+--------------+---------+\n| Column Name  | Type    |\n+--------------+---------+\n| player_id    | int     |\n| device_id    | int     |\n| event_date   | date    |\n| games_played | int     |\n+--------------+---------+\n(player_id, event_date) is the primary key (combination of columns with unique values) of this table.\nThis table shows the activity of players of some games.\nEach row is a record of a player who logged in and played a number of games (possibly 0) before logging out on someday using some device.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to find the <strong>first login date</strong> for each player.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nActivity table:\n+-----------+-----------+------------+--------------+\n| player_id | device_id | event_date | games_played |\n+-----------+-----------+------------+--------------+\n| 1         | 2         | 2016-03-01 | 5            |\n| 1         | 2         | 2016-05-02 | 6            |\n| 2         | 3         | 2017-06-25 | 1            |\n| 3         | 1         | 2016-03-02 | 0            |\n| 3         | 4         | 2018-07-03 | 5            |\n+-----------+-----------+------------+--------------+\n<strong>Output:</strong> \n+-----------+-------------+\n| player_id | first_login |\n+-----------+-------------+\n| 1         | 2016-03-01  |\n| 2         | 2017-06-25  |\n| 3         | 2016-03-02  |\n+-----------+-------------+\n</pre>\n",
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            "exampleTestcases": "{\"headers\":{\"Activity\":[\"player_id\",\"device_id\",\"event_date\",\"games_played\"]},\"rows\":{\"Activity\":[[1,2,\"2016-03-01\",5],[1,2,\"2016-05-02\",6],[2,3,\"2017-06-25\",1],[3,1,\"2016-03-02\",0],[3,4,\"2018-07-03\",5]]}}",
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                    "lang": "Pandas",
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                    "code": "import pandas as pd\n\ndef game_analysis(activity: pd.DataFrame) -> pd.DataFrame:\n    ",
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            "sampleTestCase": "{\"headers\":{\"Activity\":[\"player_id\",\"device_id\",\"event_date\",\"games_played\"]},\"rows\":{\"Activity\":[[1,2,\"2016-03-01\",5],[1,2,\"2016-05-02\",6],[2,3,\"2017-06-25\",1],[3,1,\"2016-03-02\",0],[3,4,\"2018-07-03\",5]]}}",
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                "insert into Activity (player_id, device_id, event_date, games_played) values ('1', '2', '2016-03-01', '5')",
                "insert into Activity (player_id, device_id, event_date, games_played) values ('1', '2', '2016-05-02', '6')",
                "insert into Activity (player_id, device_id, event_date, games_played) values ('2', '3', '2017-06-25', '1')",
                "insert into Activity (player_id, device_id, event_date, games_played) values ('3', '1', '2016-03-02', '0')",
                "insert into Activity (player_id, device_id, event_date, games_played) values ('3', '4', '2018-07-03', '5')"
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