An Introduction to Automated Data Processing

An Introduction to Automated Data Processing
Title An Introduction to Automated Data Processing PDF eBook
Author Ernest Dana Gibson
Publisher
Pages 456
Release 1966
Genre Business
ISBN

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An Introduction to Automated Data Processing

An Introduction to Automated Data Processing
Title An Introduction to Automated Data Processing PDF eBook
Author E. Dana Gibson
Publisher
Pages
Release 1968
Genre
ISBN

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Introduction to Automated Data Processing

Introduction to Automated Data Processing
Title Introduction to Automated Data Processing PDF eBook
Author Robert G. Langenbach
Publisher
Pages 256
Release 1968
Genre Business
ISBN

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Manual for Introduction to Automated Data Processing

Manual for Introduction to Automated Data Processing
Title Manual for Introduction to Automated Data Processing PDF eBook
Author Samuel James Wanous
Publisher
Pages 88
Release 1968
Genre Electronic data processing
ISBN

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Introduction to Automated Data Processing

Introduction to Automated Data Processing
Title Introduction to Automated Data Processing PDF eBook
Author Samuel James Wanous
Publisher
Pages 260
Release 1968
Genre Computers
ISBN

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Introduction to Automated Data Processing

Introduction to Automated Data Processing
Title Introduction to Automated Data Processing PDF eBook
Author Samuel James Wanous
Publisher South-Western Pub
Pages 312
Release 1979-01-01
Genre Computers
ISBN 9780538106009

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Automated Data Collection with R

Automated Data Collection with R
Title Automated Data Collection with R PDF eBook
Author Simon Munzert
Publisher John Wiley & Sons
Pages 474
Release 2015-01-20
Genre Computers
ISBN 111883481X

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A hands on guide to web scraping and text mining for both beginners and experienced users of R Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL. Provides basic techniques to query web documents and data sets (XPath and regular expressions). An extensive set of exercises are presented to guide the reader through each technique. Explores both supervised and unsupervised techniques as well as advanced techniques such as data scraping and text management. Case studies are featured throughout along with examples for each technique presented. R code and solutions to exercises featured in the book are provided on a supporting website.