Introduction to Data Science for Social and Policy Research

Collecting and Organizing Data with R and Python

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Science & Nature, Mathematics
Cover of the book Introduction to Data Science for Social and Policy Research by Jose Manuel Magallanes Reyes, Cambridge University Press
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Author: Jose Manuel Magallanes Reyes ISBN: 9781108363594
Publisher: Cambridge University Press Publication: September 21, 2017
Imprint: Cambridge University Press Language: English
Author: Jose Manuel Magallanes Reyes
ISBN: 9781108363594
Publisher: Cambridge University Press
Publication: September 21, 2017
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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