Time Series Analysis is used to analyze changing condition. It is the analysis of dynamics.
Usually, the images of time series are movement of temperature or stocks. But, for example, analysis of log-data of machines and MES (Manufacturing Execution System) is the kinds of time series analysis.
Most data related with time. So the idea of time series analysis is important in Data Science.
Data Literacy for time data is below.
Sensor Data Analysis needs various aproach.
When you find the title, "Time Series Analysis", it may deal with Self Correlation Analysis or Spectrum Analysis .
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