Life is full of patterns, from the stripes on a zebra to the way your favorite song has a catchy tune. Data is no different! When you look closely, you can often see trends and patterns that help you understand what the data is trying to tell you.

These are very handy words to learn more about in relation to patters of data.

Pattern: A set order or arrangement, a series of events that repeat in a recognizable way.

Trend: A general direction in which something is developing or changing.

Anomaly: Something that doesn't fit the pattern or trend.

Correlation: A relationship between two sets of data.

Can you remember what we learnt about patterns? Patterns are sets of things, like numbers or shapes, that repeat in a particular way. Think about the stripes on a zebra or the days of the week. They follow a specific order or arrangement. 

 In data maths, this is known as "pattern recognition," which means spotting the rule or the code that makes the pattern happen.

Where Can We Find Patterns? 

In Numbers: A sequence like 2, 4, 6, 8 is a pattern because it keeps adding 2. In maths, this is called an "Arithmetic Sequence." An arithmetic sequence is a pattern where the difference between consecutive numbers stays the same. Remember, consecutive means one after the other.

In Nature: The petals on a flower often form a pattern. For example, have you ever looked closely at a sunflower? The seeds form a beautiful spiral pattern. Or how about the scales on a fish? They usually form repeating patterns too. Fractals are complex patterns that look similar at any level of magnification. That means if you zoom in or zoom out, they still look pretty much the same!

In Time: Your daily routine is a pattern of activities. Time itself can have patterns. Think about your day: you wake up, eat, go to school, play, eat again, and sleep. This daily routine is a pattern that repeats every 24 hours. This is known as a "Cyclical Pattern." Cyclical patterns are patterns that repeat after a set period. In this case, the cycle is 24 hours.