Abstract
In this chapter, by observing some real-life examples of time series, we will understand the concept of time series and then learn about brief history and objectives of time series analysis. We introduce the programming language Python and its extension packages and demonstrate some useful usages in the field of time series. We also introduce the concept of stationarity and two important time series models: white noise and random walk. At last, we discuss different ways for visualization of time series data with Python so as to further check time series.
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Notes
- 1.
On November 9, 2021, the highest price of Bitcoin had been beyond 67331 USD.
- 2.
We notice that the fifth edition of this book also came out in 2016.
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Huang, C., Petukhina, A. (2022). Time Series Concepts and Python. In: Applied Time Series Analysis and Forecasting with Python. Statistics and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-13584-2_1
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DOI: https://doi.org/10.1007/978-3-031-13584-2_1
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