Core Data Analysis: Summarization, Correlation, and Visualization

This text examines the goals of data analysis with respect to enhancing knowledge, and identifies data summarization and correlation analysis as the core issues. Data summarization, both quantitative and categorical, is treated within the encoder-decoder

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Boris Mirkin

Core Data Analysis: Summarization, Correlation, and Visualization Second Edition

Undergraduate Topics in Computer Science Series Editor Ian Mackie, University of Sussex, Brighton, UK Advisory Editors Samson Abramsky, Department of Computer Science, University of Oxford, Oxford, UK Chris Hankin, Department of Computing, Imperial College London, London, UK Dexter C. Kozen, Computer Science Department, Cornell University, Ithaca, NY, USA Andrew Pitts, William Gates Bldg., University of Cambridge, Cambridge, UK Hanne Riis Nielson, Dept of Appl Math & CS, Technical University of Denmark, Kgs. Lyngby, Denmark Steven S Skiena, Department of Computer Science, Stony Brook University, Stony Brook, NY, USA Iain Stewart, Dept Computer Sci, Science Labs, University of Durham, Durham, UK Mike Hinchey, Lero, Tierney Building, University of Limerick, Limerick, Ireland

‘Undergraduate Topics in Computer Science’ (UTiCS) delivers high-quality instructional content for undergraduates studying in all areas of computing and information science. From core foundational and theoretical material to final-year topics and applications, UTiCS books take a fresh, concise, and modern approach and are ideal for self-study or for a one- or two-semester course. The texts are all authored by established experts in their fields, reviewed by an international advisory board, and contain numerous examples and problems, many of which include fully worked solutions. The UTiCS concept relies on high-quality, concise books in softback format, and generally a maximum of 275-300 pages. For undergraduate textbooks that are likely to be longer, more expository, Springer continues to offer the highly regarded Texts in Computer Science series, to which we refer potential authors.

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Boris Mirkin

Core Data Analysis: Summarization, Correlation, and Visualization Second Edition

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Boris Mirkin Department of Data Analysis and Artificial Intelligence, Faculty of Computer Science National Research University Higher School of Economics Moscow, Russia Professor Emeritus, Department of Computer Science and Information Systems Birkbeck, University of London London, UK

ISSN 1863-7310 ISSN 2197-1781 (electronic) Undergraduate Topics in Computer Science ISBN 978-3-030-00270-1 ISBN 978-3-030-00271-8 (eBook) https://doi.org/10.1007/978-3-030-00271-8 Library of Congress Control Number: 2018959271 1st edition: © Springer-Verlag London Limited 2011 2nd edition: © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names,