Group by Day Example

SELECT DAY(date_column) AS day, COUNT(*) AS count
FROM date_month_year_table
GROUP BY DAY(date_column);

Output:

Explanation: This MySQL query extracts the day component from the “date_column” in the “date_month_year_table” and counts the occurrences for each unique day. The result is presented with two columns: “day,” representing the day of the month, and “count,” indicating the frequency of records for each specific day.

This query is part of a broader exploration of MySQL’s `GROUP BY` functionality, allowing for the systematic analysis and aggregation of data based on the day component of date values within the specified table.

GROUP BY clause is an essential feature for data analysis. It enables users to aggregate information based on specific criteria. To group records based on day, month, and year, we can use DAY(), MONTH(), and YEAR() functions respectively.

In this article, we will look at how to use MySQL’s GROUP BY clause to organize data based on the DAY, MONTH, and YEAR components of date data. We will start by creating a database and a table and populate it with the sample data. Then, we will use the three methods of GROUP BY: GROUP BY DAY(), GROUP BY MONTH (), and GROUP BY YEAR ().