Creating Sample Data
To demonstrate computing moving averages in the MySQL let’s first create some sample data. We’ll create a simple table with the two columns: date and value representing the date and corresponding numeric value.
CREATE TABLE sample_data (
date DATE,
value DECIMAL(10, 2)
);
INSERT INTO sample_data (date, value)
VALUES
('2024-01-01', 10.5),
('2024-01-02', 12.3),
('2024-01-03', 11.8),
('2024-01-04', 14.2),
('2024-01-05', 13.5),
('2024-01-06', 12.6),
('2024-01-07', 13.8),
('2024-01-08', 15.1),
('2024-01-09', 16.5),
('2024-01-10', 17.2);
Output:
date | value |
---|---|
2024-01-01 | 10.5 |
2024-01-02 | 12.3 |
2024-01-03 | 11.8 |
2024-01-04 | 14.2 |
2024-01-05 | 13.5 |
2024-01-06 | 12.6 |
2024-01-07 | 13.8 |
2024-01-08 | 15.1 |
2024-01-09 | 16.5 |
2024-01-10 | 17.2 |
Compute a Moving Average in MySQL
Moving the averages is an important technique in the field of data analysis and time-series data processing. By reducing data fluctuations moving averages aid in highlighting trends in the data.
We’ll examine how to compute moving averages in MySQL a well-liked relational database administration system in this post. Gaining an understanding of this concept can improve your capacity to get useful information from the data.