Details

Subject(s)

• Policy sciences—Statistical methods [Browse]
• Policy sciences—Data processing [Browse]
• Python (Computer program language) [Browse]
• R (Computer program language) [Browse]

Summary note

Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but approachable guide describes all the tools needed to collect data and prepare it for analysis. Offering detailed, step-by-step instructions, it covers collection of many different types of data including web files, APIs, and maps; data cleaning; data formatting; the integration of different sources into a comprehensive data set; and storage using third-party tools to facilitate access and shareability, from Google Docs to GitHub. Assuming no prior knowledge of R and Python, the author introduces programming concepts gradually, using real data sets that provide the reader with practical, functional experience.-- Provided by Publisher.

Bibliographic references

Includes bibliographical references and index.

Contents

• Introduction
• Setting up the tools
• Basics of R and Python
• Collecting data
• Cleaning data
• Formatting the "clean" data
• Integrating and storing data.

Show 4 more Contents items

ISBN

• 9781107117419 (hardcover : alkaline paper)
• 1107117410 (hardcover : alkaline paper)
• 9781107540255 (paperback)
• 1107540259 (paperback)

LCCN

2017020965

OCLC

981115653

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