An Introduction to Time Series Analysis

Time series analysis involves examining data points collected sequentially over time to identify patterns, trends, or seasonal effects. It helps us understand how a variable changes over time, forecast future values, and make informed decisions. Common examples include stock prices, weather data, or sales figures. By analyzing these sequences, businesses and researchers can detect consistent behaviors, cyclical patterns, or irregular fluctuations, enabling better planning and forecasting. Overall, it’s a powerful tool for understanding temporal data and making predictions based on past observations.