Data Science in R : (Record no. 30783)

MARC details
000 -LEADER
fixed length control field 02529nam a2200265Ia 4500
001 - CONTROL NUMBER
control field 41553
003 - CONTROL NUMBER IDENTIFIER
control field IN-BdCUP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230421155128.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230413s2023 000 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781482234817
040 ## - CATALOGING SOURCE
Language of cataloging eng
Transcribing agency IN-BdCUP
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.502855133
Item number NOL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Nolan, Deborah
245 #0 - TITLE STATEMENT
Title Data Science in R :
Remainder of title A Case Studies Approach to Computational Reasoning and Problem Solving /
Statement of responsibility, etc. Nolan, Deborah & Lang, Duncan Temple
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. London :
Name of publisher, distributor, etc. Chapman and Hall/CRC,
Date of publication, distribution, etc. 2015.
300 ## - PHYSICAL DESCRIPTION
Extent 539 p. ;
Dimensions 25 cm.
520 ## - SUMMARY, ETC.
Summary, etc. Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and Computation Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions. The book's collection of projects, comprehensive sample solutions, and follow-up exercises encompass practical topics pertaining to data processing, including: Non-standard, complex data formats, such as robot logs and email messages Text processing and regular expressions Newer technologies, such as Web scraping, Web services, Keyhole Markup Language (KML), and Google Earth Statistical methods, such as classification trees, k-nearest neighbors, and na�ve Bayes Visualization and exploratory data analysis Relational databases and Structured Query Language (SQL) Simulation Algorithm implementation Large data and efficiency Suitable for self-study or as supplementary reading in a statistical computing course, the book enables instructors to incorporate interesting problems into their courses so that students gain valuable experience and data science skills. Students learn how to acquire and work with unstructured or semistructured data as well as how to narrow down and carefully frame the questions of interest about the data. Blending computational details with statistical and data analysis concepts, this book provides readers with an understanding of how professional data scientists think about daily computational tasks. It will improve readers' computational reasoning of real-world data analyses.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Problem solving
Topical term or geographic name entry element Business & Economics
Topical term or geographic name entry element Data Science in R
Topical term or geographic name entry element Computational Reasoning
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Lang, Duncan Temple
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Bill number Total checkouts Full call number Barcode Date last seen Actual Cost, replacement price Bill Date Koha item type
    Dewey Decimal Classification     Ranganathan Library Ranganathan Library 13/03/2020 K. K. Distributors, Delhi 6367.00 4113   519.502855133 NOL 038212 13/04/2023 4139.00 02/02/2020 Book
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