ISBN: 9781107117419 - introduction to data science for social and policy research: collecting and organizing data with r and python (14 risultati)

Hardcover. Condizione: Like New. First Edition. Firm, square and tight with sharp corners and sturdy hinges, just showing a few minor rubs and some mild cosmetic wear. Hence a non-text page is stamped 'damaged'. Despite such this book is in nearly new condition. Thus the contents are crisp, fresh and clean. It has no pen-marks and is not from a library so no such stamps or labels. Offered for sale at a very sensible price.…

hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condizione: New.

Condizione: New. BIC Classification: JHBC. Category: (U) Tertiary Education (US: College). . . 2017. 1st Edition. hardcover. . . . .

Condizione: New. BIC Classification: JHBC. Category: (U) Tertiary Education (US: College). . . 2017. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.

Condizione: New. pp. 250.

Hardcover. Condizione: Brand New. 303 pages. 9.25x6.25x1.00 inches. In Stock.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condizione: new. Hardcover. 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. Real-world data sets are messy and complicated. This book shows students in social science and public management how to prepare these data sets for analysis, with detailed, step-by-step instructions. R and Python code is introduced gradually, providing readers with the tools they need to work with real data. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Real-world data sets are messy and complicated. This book shows students in social science and public management how to prepare these data sets for analysis, with detailed, step-by-step instructions. R and Python code is introduced gradually, providing read. …

Condizione: New. Print on Demand pp. 250.

Condizione: New. PRINT ON DEMAND pp. 250.

Buch. Condizione: Neu. Introduction to Data Science for Social and Policy Research | Jose Manuel Magallanes Reyes | Buch | Gebunden | Englisch | 2018 | Cambridge University Press | EAN 9781107117419 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …