Introduction to Data Science for Social and Policy Research: Collecting and Organizing Data with R and Python
Jose Manuel Magallanes Reyes
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.
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.
年:
2017
出版:
1
出版社:
Cambridge University Press
语言:
english
页:
314
ISBN 10:
1107540259
ISBN 13:
9781107540255
文件:
PDF, 24.51 MB
IPFS:
,
english, 2017