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. Time-series analysis involves techniques to understand the underlying structure of the data, such as identifying trends, seasonal variations, and cyclical patterns. Common methods include moving averages, exponential smoothing, and ARIMA models. These techniques help in making informed decisions based on historical data.