Tutorial: Use ChatGPT+SQL to Analyze Large Datasets. Introduction. What’s SQL? Let’s start with the tutorial.

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This method is tailored for people with no prior knowledge of relational databases & SQL, and people who want to investigate large datasets without mastering complex tools or software. If you happen to fit into these categories, following this tutorial can make it easier to unlock the facility of ChatGPT and SQL to realize invaluable insights out of your data.

Structured Query Language (SQL) is a strong programming language designed specifically for managing and manipulating data in relational databases.

  1. Begin by looking for a webhosting service that features cPanel, MySQL database, and phpMyAdmin. Many hosting providers offer these features as a part of their packages. Personally, I take advantage of HostWithLove because they provide a server location near where I work.
  2. After completing the registration process, log in to your cPanel account. If you happen to’re unsure how you can access your cPanel, reach out to your hosting provider’s support team for assistance.
  3. Once logged in, locate the “MySQL Database Wizard” inside your cPanel dashboard. This tool will guide you thru the technique of organising your MySQL database.
id INT AUTO_INCREMENT PRIMARY KEY, <- that is required
,
...remainder of your dataset columns

Helps me generate a MYSQL data type for this sample data.
If you happen to are unsure concerning the data type, please ask me for more details.

CREATE TABLE (
...your columns
);

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