Practical Python Data Wrangling and Data Quality / Susan E. McGregor

By:

McGregor, Susan [VerfasserIn]

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Beijing ; Boston ; Farnham ; Sebastopol ; Tokyo : O'Reilly, 2022Edition: First editionDescription: 1 Online-Ressource (65 pages)ISBN:

9781492091479
1492091472
9781492091455
1492091456

Additional physical formats: 9781492091493 | 1492091499 | 1492091502 | 9781492091509 | Erscheint auch als: 1492091502 Druck-AusgabeOnline resources:

Summary: There are awesome discoveries to be made and valuable stories to be told in datasets--and this book will help you uncover them. Whether you already work with data or just want to understand its possibilities, the techniques and advice in this practical book will help you learn how to better clean, evaluate, and analyze data to generate meaningful insights and compelling visualizations. Through foundational concepts and worked examples, author Susan McGregor provides the concepts and tools you need to evaluate and analyze all kinds of data and communicate your findings effectively. This book provides a methodical, jargon-free way for practitioners of all levels to harness the power of data. Use Python 3.8+ to read, write, and transform data from a variety of sources Understand and use programming basics in Python to wrangle data at scale Organize, document, and structure your code using best practices Complete exercises either on your own machine or on the web Collect data from structured data files, web pages, and APIs Perform basic statistical analysis to make meaning from data sets Visualize and present data in clear and compelling waysPPN: PPN: 1804361143Package identifier: Produktsigel: ZDB-4-NLEBK

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