Explore the concept of seasonal data and its significance in predictive analysis. Learn how analyzing recurring patterns drives informed decision-making in various industries!
What is meant by seasonal data?
Data occurring at regular intervals.
Seasonal data refers to information that exhibits recurring patterns or trends over specific time intervals, often linked to seasonal variations, cycles, or periodic changes. This type of data shows regular fluctuations, such as sales surges during holidays, temperature changes throughout the year, or website traffic peaks at certain times. Analyzing seasonal data helps identify and understand repetitive patterns, enabling businesses to make informed decisions and predictions based on recurring trends.
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