Aikasarjadata
Aikasarjadata refers to data collected over a period of time. This type of data is characterized by its temporal dimension, meaning the order in which observations are made is crucial. Time series data can be found in many fields, including economics, finance, meteorology, engineering, and biology. Examples include stock prices recorded daily, temperature readings taken hourly, or sales figures reported monthly.
Analyzing time series data often involves identifying trends, seasonality, and cyclical patterns. Trends represent long-term movements
Common techniques for time series analysis include moving averages, exponential smoothing, and ARIMA models. These methods