中文说明：
时间序列数据是指按照时间先后依次排列的观测值所构成的数列，如各年度的国内生产总值、人口数据等。研究时间序列数据模型处理的主要目的是进行数据预测，如预测下一年度的销售额、预测股票价格的走势等。
English Description：
Time series data is a series of observations arranged in time sequence, such as GDP and population data of each year. The main purpose of studying time series data model processing is to make data prediction, such as forecasting the sales of the next year, forecasting the trend of stock price and so on.