Re: What are common patterns to look for in time-series data ?

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URL: http://forum.446.s1.nabble.com/What-are-common-patterns-to-look-for-in-time-series-data-tp20323p20359.html

Time-series data consists of observations recorded over time, often showing patterns that help in forecasting and decision-making. Trends indicate the overall direction of data—upward, downward, or stable. Seasonality refers to periodic fluctuations, like holiday sales or annual temperature changes, driven by external factors.

Cyclic patterns are similar but occur over varying time intervals, influenced by economic and social factors. Noise represents random fluctuations caused by unpredictable events like market crashes. Autocorrelation occurs when past values impact future ones, aiding in forecasting.

Recognizing these patterns enhances predictive modeling and strategic planning. To master time-series analysis, consider enrolling in a Data Science Course in Pune for hands-on expertise.

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