A time series is a sequence of data points collected or recorded at specific time intervals. This type of data is often used in various fields, such as economics, finance, and environmental science, to analyze trends over time. For example, stock prices or monthly sales figures can be represented as time series data, allowing analysts to observe patterns and make forecasts. Analyzing a time series involves techniques like trend analysis, seasonal decomposition, and forecasting. These methods help identify underlying patterns, such as regular fluctuations or long-term growth, which can inform decision-making. Tools like ARIMA (AutoRegressive Integrated Moving Average) models are commonly used for this purpose.