Welcome to Loot.co.za! Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search

Checkout
- Your Cart Price

Your cart

Your cart is empty

Books > Social sciences > Sociology, social studies > Social research & statistics

Buy Now

Introduction to Data Science for Social and Policy Research - Collecting and Organizing Data with R and Python (Paperback) Loot Price: R1,158

Discovery Miles 11 580

Repayment Terms: R109 pm x 12*

Add to cart

Introduction to Data Science for Social and Policy Research - Collecting and Organizing Data with R and Python (Paperback):...

Introduction to Data Science for Social and Policy Research - Collecting and Organizing Data with R and Python (Paperback)

Jose Manuel Magallanes Reyes

(sign in to rate)

Loot Price R1,158 Discovery Miles 11 580 | Repayment Terms: R109 pm x 12*

Expected to ship within 12 - 19 working days

Description
Details
Customer Reviews

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	September 2017
Authors:	Jose Manuel Magallanes Reyes
Dimensions:	229 x 152 x 18mm (L x W x T)
Format:	Paperback - Trade
Pages:	314
ISBN-13:	978-1-107-54025-5
Categories:	Books > Social sciences > Sociology, social studies > Social research & statistics > General Promotions
LSN:	1-107-54025-9
Barcode:	9781107540255