Visualizing time series data

In Chapter 2, Acquiring and Processing Time Series Data, we learned how to prepare a data model as a first step toward analyzing a new dataset. If preparing a data model is like approaching someone you like and making that first contact, then EDA is like dating that person. At this point, you have the dataset, and you are trying to get to know them, trying to figure out what makes them tick, what the person likes and dislikes, and so on.

EDA often employs visualization techniques to uncover patterns, spot anomalies, form and test hypotheses, and so on. Spending some time understanding your dataset will help you a lot when you are trying to squeeze out every last bit of performance from the models. You may understand what sort of features you must create, or what kind of modeling techniques should be applied, and so on.

In this chapter, we will cover a few visualization techniques that are well suited for time series datasets.

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