You're reading from Time Series Analysis with Python Cookbook Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation

Product type Paperback

Published in Apr 2025

Publisher

ISBN-13 9781805124283

Length 98 pages

Edition 2nd Edition

Languages

Python

Concepts

Data Analysis

Author (1):

Tarek A. Atwan

View More author details

Table of Contents (13) Chapters

1. Time Series Analysis with Python Cookbook, Second Edition: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation FREE CHAPTER

2. Getting Started with Time Series Analysis

3. Reading Time Series Data from Files

4. Reading Time Series Data from Databases

5. Persisting Time Series Data to Files

6. Persisting Time Series Data to Databases

7. Working with Date and Time in Python

8. Handling Missing Data

9. Outlier Detection Using Statistical Methods

10. Exploratory Data Analysis and Diagnosis

11. Building Univariate Time Series Models Using Statistical Methods

12. Additional Statistical Modeling Techniques for Time Series

13. Outlier Detection Using Unsupervised Machine Learning

Detecting outliers using visualizations

There are two general approaches for using statistical techniques to detect outliers: parametric and non-parametric methods. Parametric methods assume you know the underlying distribution of the data. For example, if your data follows a normal distribution. On the other hand, in non-parametric methods, you make no such assumptions.

Using histograms and box plots are basic non-parametric techniques that can provide insight into the distribution of the data and the presence of outliers. More specifically, box plots, also known as box and whisker plots, provide a five-number summary: the minimum, first quartile (25th percentile), median (50th percentile), third quartile (75th percentile), and the maximum. There are different implementations for how far the whiskers extend, for example, the whiskers can extend to the minimum and maximum values. In most statistical software, including Python's matplotlib and seaborn libraries, the whiskers extend...