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Data science in R : a case studies approach to computational reasoning and problem solving / Deborah Nolan and Duncan Temple Lang.

By: Contributor(s): Material type: TextTextSeries: Chapman & Hall/CRC the R seriesPublication details: Boca Raton : CRC Press, ©2015Description: xxiii, 515 p. : illustrations (some color) ; 26 cmISBN:
  • 9781482234817
Subject(s): DDC classification:
  • 000SA.055 23 N787
Contents:
1. Predicting location via indoor positioning systems -- 2. Modeling runners' times in the cherry blossom race -- 3. Using statistics to identify spam --4. Processing robot and sensor log files: seeking a circular target -- 5. Strategies for analyzing a 12-gigabyte data set: airline flight delays -- 6. Pairs trading -- 7. Simulation study of a Branching process -- 8. A self-organizing dynamic system with a phase transition -- 9. Simulating blackjack -- 10. Baseball: exploring data in a relational database -- 11. CIA Factbook mashup -- 12. Exploring data science jobs with web scraping and text mining.
Summary: 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.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.055 N787 (Browse shelf(Opens below)) Available 137098
Total holds: 0

Includes bibliographical references and index.

1. Predicting location via indoor positioning systems --
2. Modeling runners' times in the cherry blossom race --
3. Using statistics to identify spam --4. Processing robot and sensor log files: seeking a circular target --
5. Strategies for analyzing a 12-gigabyte data set: airline flight delays --
6. Pairs trading --
7. Simulation study of a Branching process --
8. A self-organizing dynamic system with a phase transition --
9. Simulating blackjack --
10. Baseball: exploring data in a relational database --
11. CIA Factbook mashup --
12. Exploring data science jobs with web scraping and text mining.

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.

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