Time-series data

Time-series data refers to a sequence of data points collected or recorded at successive points in time, typically at regular intervals. It tracks how a particular variable, like temperature, stock prices, or sales, changes over periods—hours, days, months, or years. This type of data helps identify trends, patterns, or seasonal effects, enabling better forecasting and decision-making. Essentially, it’s like a timeline of data points that shows how something evolves over time, providing valuable insights into the dynamics of the variable being studied.