Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Python Real-World Projects

You're reading from  Python Real-World Projects

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781803246765
Pages 478 pages
Edition 1st Edition
Languages
Author (1):
Steven F. Lott Steven F. Lott
Profile icon Steven F. Lott

Table of Contents (20) Chapters

Preface Chapter 1: Project Zero: A Template for Other Projects Chapter 2: Overview of the Projects Chapter 3: Project 1.1: Data Acquisition Base Application Chapter 4: Data Acquisition Features: Web APIs and Scraping Chapter 5: Data Acquisition Features: SQL Database Chapter 6: Project 2.1: Data Inspection Notebook Chapter 7: Data Inspection Features Chapter 8: Project 2.5: Schema and Metadata Chapter 9: Project 3.1: Data Cleaning Base Application Chapter 10: Data Cleaning Features Chapter 11: Project 3.7: Interim Data Persistence Chapter 12: Project 3.8: Integrated Data Acquisition Web Service Chapter 13: Project 4.1: Visual Analysis Techniques Chapter 14: Project 4.2: Creating Reports Chapter 15: Project 5.1: Modeling Base Application Chapter 16: Project 5.2: Simple Multivariate Statistics Chapter 17: Next Steps Other Books You Might Enjoy Index

14.4 Summary

In this chapter, we have built two important working results of data analysis:

  • Slide decks that can be used as presentations to interested users and stakeholders

  • Reports in PDF format that can be distributed to stakeholders

The line between these two is always hazy. Some presentations have a lot of details and are essentially reports presented in small pages.

Some reports are filled with figures and bullet points; they often seem to be presentations written in portrait mode.

Generally, presentations don’t have the depth of detail reports do. Often, reports are designed for long-term retention and provide background, as well as a bibliography to help readers fill in missing knowledge. Both are first-class parts of a Jupyter notebook and creating these should be part of every analyst’s skills.

This chapter has emphasized the additional tools required to create outstanding results. In the next chapter, we’ll shift gears and look at some of the statistical...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}