Practical python data wrangling and data quality : getting started with reading, cleaning, and analyzing data / Susan E. McGregor.

Format:

Book

Author/Creator:

McGregor, Susan, author.

Contributor:

O'Reilly for Higher Education (Firm), distributor.

Safari, an O'Reilly Media Company.

Language:

English

Subjects (All):

Data mining.

Electronic data processing--Data preparation.

Electronic data processing.

Python (Computer program language).

Physical Description:

1 online resource (65 pages)

Edition:

First edition.

Place of Publication:

Sebastpol, CA : O'Reilly Media, 2021.

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.

Notes:

OCLC-licensed vendor bibliographic record.

Includes index.

ISBN:

9781492091493

1492091499

OCLC:

1235774593