What are common patterns to look for in time-series data ?
Time-series data consists of observations that are recorded over a period of time. These observations often show certain patterns which can be used by analysts to make predictions and gain insights. In fields such as finance, economics and weather forecasting or machine learning, it is important to recognize these patterns. Trend is one of the most common patterns found in time series data. Trend is the direction of the data over time. The trend can be up, down, or stable. Stock prices, for example, may have a long-term trend upward due to economic growth. However, sales of seasonal products may show a downward trend once the peak demand subsides.Data Science Course in Pune
Seasonality is another important pattern. It refers to periodic fluctuations which occur regularly due to predictable influences. Seasonality can be seen in the retail sales that spike up during holidays or the temperature fluctuations that follow annual cycles. These effects are usually caused by external factors, such as economic cycles, cultural events or weather conditions. https://www.sevenmentor.com/da....ta-science-course-in
