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Forecasting Time Series Data with Prophet

You're reading from   Forecasting Time Series Data with Prophet Build, improve, and optimize time series forecasting models using Meta's advanced forecasting tool

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Product type Paperback
Published in Mar 2023
Publisher Packt
ISBN-13 9781837630417
Length 282 pages
Edition 2nd Edition
Languages
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Author (1):
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Greg Rafferty Greg Rafferty
Author Profile Icon Greg Rafferty
Greg Rafferty
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Table of Contents (20) Chapters Close

Preface 1. Part 1: Getting Started with Prophet
2. Chapter 1: The History and Development of Time Series Forecasting FREE CHAPTER 3. Chapter 2: Getting Started with Prophet 4. Chapter 3: How Prophet Works 5. Part 2: Seasonality, Tuning, and Advanced Features
6. Chapter 4: Handling Non-Daily Data 7. Chapter 5: Working with Seasonality 8. Chapter 6: Forecasting Holiday Effects 9. Chapter 7: Controlling Growth Modes 10. Chapter 8: Influencing Trend Changepoints 11. Chapter 9: Including Additional Regressors 12. Chapter 10: Accounting for Outliers and Special Events 13. Chapter 11: Managing Uncertainty Intervals 14. Part 3: Diagnostics and Evaluation
15. Chapter 12: Performing Cross-Validation 16. Chapter 13: Evaluating Performance Metrics 17. Chapter 14: Productionalizing Prophet 18. Index 19. Other Books You May Enjoy

Making interactive plots with Plotly

In this final section, we’ll use the Plotly library to build some interactive plots. Plotly is a completely separate visualization package from the Matplotlib package, which we’ve been using throughout this book. A plot made with Plotly is richly interactive, allowing tooltips on mouse hover, zooming in and out of a plot, and all sorts of other interactivities.

If you’re familiar with Tableau or Power BI, Plotly brings similar interactivity to Python. Additionally, the Plotly team also built Dash, a library for creating web-based dashboards. A full tutorial for creating such a dashboard is beyond the scope of this book, but I encourage you to learn about this valuable tool if you would like to share your Prophet forecasts with a wide audience.

Prophet does not automatically install Plotly as a dependency, so before we begin, you will need to install it on your machine. It is a simple process and can be accomplished through...

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