Technical Aspects of Data Communication by John E. McNamara Hardcover 2nd Ed.

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The product is a 2nd edition hardcover textbook titled "Technical Aspects of Data Communication" by John E. McNamara. Published by Elsevier Science & Technology Books in 1988, this textbook is focused on the subject area of computers and data processing. Authored by John E. McNamara, this technical-level text covers the technical aspects of data communication in 383 pages. The book is written in English and measures 9.8 inches in length and 7.5 inches in width, making it a valuable resource for those interested in the technical aspects of data communication.

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Data Pipelines Pocket Reference: Moving and Processing Data for Analytics – GOOD

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Data Pipelines Pocket Reference: Moving and Processing Data for Analytics - GOOD Product Id:1492087831 Condition:USED_GOOD Notes:Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc...

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Data Entry 3rd Edition: 1996 Concepts and Applications

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The product is a textbook titled "Data Entry: Concepts and Applications" published by EMC/Paradigm Publishing in 1996. It covers the subject area of data processing and is written in English. The authors are Beth M. Buzby and Kathy Locke. The book is designed for high school, adult education, and vocational training levels, including beginner, intermediate, and business levels. It provides concepts and applications related to data entry in a comprehensive and educational format.

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R for Data Science 2nd Edition Wickham, Cetinkaya-Rundel, & Grolemund Like New

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The product is the second edition of "R for Data Science" by Hadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund. Published by O'Reilly Media, this textbook focuses on data modeling, design, visualization, processing, and mining. With a publication year of 2023, this trade paperback book offers 576 pages of content in English. It aims to guide readers through the process of importing, tidying, transforming, visualizing, and modeling data using R programming language. The book is a comprehensive resource for individuals looking to enhance their skills in data science and analysis.

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