{ "data": { "question": { "questionId": "3711", "questionFrontendId": "3374", "boundTopicId": null, "title": "First Letter Capitalization II", "titleSlug": "first-letter-capitalization-ii", "content": "

Table: user_content

\n\n
\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| content_id  | int     |\n| content_text| varchar |\n+-------------+---------+\ncontent_id is the unique key for this table.\nEach row contains a unique ID and the corresponding text content.\n
\n\n

Write a solution to transform the text in the content_text column by applying the following rules:

\n\n\n\n

Return the result table that includes both the original content_text and the modified text following the above rules.

\n\n

The result format is in the following example.

\n\n

 

\n

Example:

\n\n
\n

Input:

\n\n

user_content table:

\n\n
\n+------------+---------------------------------+\n| content_id | content_text                    |\n+------------+---------------------------------+\n| 1          | hello world of SQL              |\n| 2          | the QUICK-brown fox             |\n| 3          | modern-day DATA science         |\n| 4          | web-based FRONT-end development |\n+------------+---------------------------------+\n
\n\n

Output:

\n\n
\n+------------+---------------------------------+---------------------------------+\n| content_id | original_text                   | converted_text                  |\n+------------+---------------------------------+---------------------------------+\n| 1          | hello world of SQL              | Hello World Of Sql              |\n| 2          | the QUICK-brown fox             | The Quick-Brown Fox             |\n| 3          | modern-day DATA science         | Modern-Day Data Science         |\n| 4          | web-based FRONT-end development | Web-Based Front-End Development |\n+------------+---------------------------------+---------------------------------+\n
\n\n

Explanation:

\n\n\n
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MySQL 8.0.

\"], \"mssql\": [\"MS SQL Server\", \"

mssql server 2019.

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Oracle Sql 11.2.

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Python 3.10 with Pandas 2.2.2 and NumPy 1.26.4

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PostgreSQL 16

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