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Python Real-World Projects

You're reading from   Python Real-World Projects Craft your Python portfolio with deployable applications

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803246765
Length 478 pages
Edition 1st Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Table of Contents (20) Chapters Close

Preface 1. Chapter 1: Project Zero: A Template for Other Projects 2. Chapter 2: Overview of the Projects FREE CHAPTER 3. Chapter 3: Project 1.1: Data Acquisition Base Application 4. Chapter 4: Data Acquisition Features: Web APIs and Scraping 5. Chapter 5: Data Acquisition Features: SQL Database 6. Chapter 6: Project 2.1: Data Inspection Notebook 7. Chapter 7: Data Inspection Features 8. Chapter 8: Project 2.5: Schema and Metadata 9. Chapter 9: Project 3.1: Data Cleaning Base Application 10. Chapter 10: Data Cleaning Features 11. Chapter 11: Project 3.7: Interim Data Persistence 12. Chapter 12: Project 3.8: Integrated Data Acquisition Web Service 13. Chapter 13: Project 4.1: Visual Analysis Techniques 14. Chapter 14: Project 4.2: Creating Reports 15. Chapter 15: Project 5.1: Modeling Base Application 16. Chapter 16: Project 5.2: Simple Multivariate Statistics 17. Chapter 17: Next Steps 18. Other Books You Might Enjoy 19. Index

17.3 Concept of metadata and provenance

The description of a dataset includes three important aspects:

  • The syntax or physical format and logical layout of the data

  • The semantics, or meaning, of the data

  • The provenance, or the origin and transformations applied to the data

The physical format of a dataset is often summarized using the name of a well-known file format. For example, the data may be in CSV format. The order of columns in a CSV file may change, leading to a need to have headings or some metadata describing the logical layout of the columns within a CSV file.

Much of this information can be enumerated in JSON schema definitions.

In some cases, the metadata might be yet another CSV file that has column numbers, preferred data types, and column names. We might have a secondary CSV file that looks like the following example:

1,height,height in inches
2,weight,weight in pounds
3,price,price in dollars

This metadata information describes the contents of a separate CSV file with...

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