June 2016
Beginner to intermediate
284 pages
6h 22m
English
Content preview from Mastering Python Data AnalysisBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 8. Time Series Analysis
Sometimes the data that we will analyze is a variable measured at fixed time intervals; when we have such data, we are talking about a time series. More specifically, at each step of the time series, there is more than one possible outcome and part of the outcome for each step is randomized and might only depend on a few steps back in time. For these reasons, simple linear regression does not work. In time series analysis, we build models to explain the variations in time, which is sometimes referred to as longitudinal analysis.
This chapter covers the following topics in time series analysis:
- Time series modeling, its usefulness, and how Pandas handles data
- Various common patterns in time series
- The concept of stationarity ...
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