Comparative approaches to using R and Python for statistical data analysis:
"This book is a comprehensive source of emerging research and perspectives on the latest computer software and available languages for the visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression"--Provided by pu...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) :
IGI Global,
[2017]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book is a comprehensive source of emerging research and perspectives on the latest computer software and available languages for the visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression"--Provided by publisher. |
| Beschreibung: | PDFs (197 pages) : illustrations. Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781522519898 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 245 | 1 | 0 | |a Comparative approaches to using R and Python for statistical data analysis |c by Rui Sarmento and Vera Costa. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) : |b IGI Global, |c [2017] | |
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| 505 | 0 | |a Statistics -- Introduction to programming R and Python languages -- Dataset -- Descriptive analysis -- Statistical inference -- Introduction to linear regression -- Factor analysis -- Clusters -- Discussion and conclusion. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book is a comprehensive source of emerging research and perspectives on the latest computer software and available languages for the visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression"--Provided by publisher. | |
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| 588 | |a Description based on title screen (IGI Global, viewed 01/17/2017). | ||
| 650 | 0 | |a Mathematical statistics |x Data processing. | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a R (Computer program language) | |
| 653 | |a Clusters | ||
| 653 | |a Datasets | ||
| 653 | |a Descriptive statistics | ||
| 653 | |a Factor analysis | ||
| 653 | |a Linear regression | ||
| 653 | |a Matrices | ||
| 653 | |a Programming installation | ||
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00147545 |
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| author | Sarmento, Rui, 1979- Costa, Vera 1983- |
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| contents | Statistics -- Introduction to programming R and Python languages -- Dataset -- Descriptive analysis -- Statistical inference -- Introduction to linear regression -- Factor analysis -- Clusters -- Discussion and conclusion. |
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| spelling | Sarmento, Rui, 1979- author. Comparative approaches to using R and Python for statistical data analysis by Rui Sarmento and Vera Costa. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) : IGI Global, [2017] PDFs (197 pages) : illustrations. text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Statistics -- Introduction to programming R and Python languages -- Dataset -- Descriptive analysis -- Statistical inference -- Introduction to linear regression -- Factor analysis -- Clusters -- Discussion and conclusion. Restricted to subscribers or individual electronic text purchasers. "This book is a comprehensive source of emerging research and perspectives on the latest computer software and available languages for the visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression"--Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 01/17/2017). Mathematical statistics Data processing. Python (Computer program language) R (Computer program language) Clusters Datasets Descriptive statistics Factor analysis Linear regression Matrices Programming installation Statistical inference Costa, Vera 1983- author. IGI Global, publisher. (Original) (DLC)2016050989 Print version: 168318016X 9781683180166 (DLC) 2016050989 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-68318-016-6 Volltext |
| spellingShingle | Sarmento, Rui, 1979- Costa, Vera 1983- Comparative approaches to using R and Python for statistical data analysis Statistics -- Introduction to programming R and Python languages -- Dataset -- Descriptive analysis -- Statistical inference -- Introduction to linear regression -- Factor analysis -- Clusters -- Discussion and conclusion. Mathematical statistics Data processing. Python (Computer program language) R (Computer program language) |
| title | Comparative approaches to using R and Python for statistical data analysis |
| title_auth | Comparative approaches to using R and Python for statistical data analysis |
| title_exact_search | Comparative approaches to using R and Python for statistical data analysis |
| title_full | Comparative approaches to using R and Python for statistical data analysis by Rui Sarmento and Vera Costa. |
| title_fullStr | Comparative approaches to using R and Python for statistical data analysis by Rui Sarmento and Vera Costa. |
| title_full_unstemmed | Comparative approaches to using R and Python for statistical data analysis by Rui Sarmento and Vera Costa. |
| title_short | Comparative approaches to using R and Python for statistical data analysis |
| title_sort | comparative approaches to using r and python for statistical data analysis |
| topic | Mathematical statistics Data processing. Python (Computer program language) R (Computer program language) |
| topic_facet | Mathematical statistics Data processing. Python (Computer program language) R (Computer program language) |
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