Practical Data Analysis Cookbook

Chapter 7. Time Series Techniques

In this chapter, we will cover various techniques of handling, analyzing, and predicting the future with time series data. You will learn the following recipes:

• Handling date objects in Python
• Understanding time series data
• Smoothing and transforming the observations
• Filtering the time series data
• Removing trend and seasonality
• Forecasting the future with ARMA and ARIMA models

Introduction

Time series can be found everywhere; if you analyze the stock market, sunspot occurrences, or river flows, you are observing phenomena that are stretched in time. It is almost inevitable that any data scientist throughout his or her career will deal with time series data at some point. In this chapter, we will see various techniques ...