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-Time series data is the number of columns in accordance with the chronological order of priority observations posed, such as gross domestic product each year, the population data. The main purpose of study time series data model for data processing is forecast sales next year as forecast, predict stock price movements, etc.