Practical python data wrangling and data quality : getting started with reading, cleaning, and analyzing data /

Practical python data wrangling and data quality : getting started with reading, cleaning, and analyzing data /

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Bibliographic Details
Author / Creator:	McGregor, Susan, author.
Edition:	First edition.
Imprint:	Sebastpol, CA : O'Reilly Media, 2021. ©2022
Description:	1 online resource (65 pages)
Language:	English
Subject:	Data mining. Electronic data processing -- Data preparation. Python (Computer program language) Data Mining Data mining Electronic data processing -- Data preparation Python (Computer program language)
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13686992

Hidden Bibliographic Details
Other authors / contributors:	O'Reilly for Higher Education (Firm), distributor. Safari, an O'Reilly Media Company.
ISBN:	9781492091493 1492091499 9781492091479 1492091472 9781492091455 1492091456 1492091502 9781492091509
Digital file characteristics:	text file
Notes:	Includes index. Made available through: Safari, an O'Reilly Media Company. Description based on online resource; title from digital title page (viewed on February 01, 2022).
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 ways.
Other form:	Print version: 1492091502 9781492091509

Description
Item Description:	Includes index.
Physical Description:	1 online resource (65 pages)
ISBN:	9781492091493 1492091499 9781492091479 1492091472 9781492091455 1492091456 1492091502 9781492091509