Introduction to Data Analysis with MySQL

MySQL is not just a database management system; it's a powerful tool for performing data analysis as well. In this guide, we'll explore how you can use MySQL to analyze and extract valuable insights from your data.


SELECT Statement for Data Retrieval

The 

SELECT
statement is your primary tool for retrieving data from a MySQL database. Here's a basic example:

            SELECT column1, column2
            FROM tablename
            WHERE some_condition;

This query selects specific columns from a table, applying a condition to filter the data.


Aggregate Functions

MySQL provides various aggregate functions like 

SUM
, 
AVERAGE
, 
MIN
, and 
MAX
to perform calculations on your data. For instance:

            SELECT AVG(salary)
            FROM employees;

This query calculates the average salary of employees.


GROUP BY and HAVING

You can use 

GROUP BY
to group rows based on a specific column's values and 
HAVING
to filter grouped results. Here's an example:

            SELECT department, AVG(salary)
            FROM employees
            GROUP BY department
            HAVING AVG(salary) > 50000;

Conclusion

MySQL is a versatile tool for performing data analysis. You've learned how to use SQL queries for data retrieval, aggregate functions, and grouping to extract insights from your database. As you continue to explore MySQL, you'll discover even more powerful capabilities for data analysis.