Advanced Analytics with R and Tableau:
bLeverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R/bh2About This Book/h2ulliA comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and R/liliCombine Tableau analytics a...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham
Packt Publishing Limited
2017
|
Ausgabe: | 1 |
Schlagworte: | |
Zusammenfassung: | bLeverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R/bh2About This Book/h2ulliA comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and R/liliCombine Tableau analytics and visualization with the power of R using this step-by-step guide/liliWondering how R can be used with Tableau? This book is your one-stop solution./li/ulh2Who This Book Is For/h2This book will appeal to Tableau users who want to go beyond the Tableau interface and deploy the full potential of Tableau, by using R to perform advanced analytics with Tableau.A basic familiarity with R is useful but not compulsory, as the book will start off with concrete examples of R and will move quickly into more advanced spheres of analytics using online data sources to support hands-on learning. Those R developers who want to integrate R in Tableau will also benefit from this book.h2What You Will Learn/h2ulliIntegrate Tableau's analytics with the industry-standard, statistical prowess of R./liliMake R function calls in Tableau, and visualize R functions with Tableau using RServe./liliUse the CRISP-DM methodology to create a roadmap for analytics investigations./liliImplement various supervised and unsupervised learning algorithms in R to return values to Tableau./liliMake quick, cogent, and data-driven decisions for your business using advanced analytical techniques such as forecasting, predictions, association rules, clustering, classification, and other advanced Tableau/R calculated field functions./li/ulh2In Detail/h2Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation.Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics.By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.h2Style and approach/h2Tableau (uniquely) offers excellent visualization combined with advanced analytics; R is at the pinnacle of statistical computational languages. |
Beschreibung: | 1 Online-Ressource (178 Seiten) |
ISBN: | 9781786460240 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV047070055 | ||
003 | DE-604 | ||
005 | 20211207 | ||
007 | cr|uuu---uuuuu | ||
008 | 201218s2017 |||| o||u| ||||||eng d | ||
020 | |a 9781786460240 |9 978-1-78646-024-0 | ||
035 | |a (ZDB-5-WPSE)9781786460240178 | ||
035 | |a (OCoLC)1227481734 | ||
035 | |a (DE-599)BVBBV047070055 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
100 | 1 | |a Stirrup, Jen |e Verfasser |4 aut | |
245 | 1 | 0 | |a Advanced Analytics with R and Tableau |c Stirrup, Jen |
250 | |a 1 | ||
264 | 1 | |a Birmingham |b Packt Publishing Limited |c 2017 | |
300 | |a 1 Online-Ressource (178 Seiten) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
520 | |a bLeverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R/bh2About This Book/h2ulliA comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and R/liliCombine Tableau analytics and visualization with the power of R using this step-by-step guide/liliWondering how R can be used with Tableau? This book is your one-stop solution./li/ulh2Who This Book Is For/h2This book will appeal to Tableau users who want to go beyond the Tableau interface and deploy the full potential of Tableau, by using R to perform advanced analytics with Tableau.A basic familiarity with R is useful but not compulsory, as the book will start off with concrete examples of R and will move quickly into more advanced spheres of analytics using online data sources to support hands-on learning. | ||
520 | |a Those R developers who want to integrate R in Tableau will also benefit from this book.h2What You Will Learn/h2ulliIntegrate Tableau's analytics with the industry-standard, statistical prowess of R./liliMake R function calls in Tableau, and visualize R functions with Tableau using RServe./liliUse the CRISP-DM methodology to create a roadmap for analytics investigations./liliImplement various supervised and unsupervised learning algorithms in R to return values to Tableau./liliMake quick, cogent, and data-driven decisions for your business using advanced analytical techniques such as forecasting, predictions, association rules, clustering, classification, and other advanced Tableau/R calculated field functions./li/ulh2In Detail/h2Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation.Moving from data visualization into deeper, | ||
520 | |a more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics.By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.h2Style and approach/h2Tableau (uniquely) offers excellent visualization combined with advanced analytics; R is at the pinnacle of statistical computational languages. | ||
650 | 4 | |a COMPUTERS / Data Visualization | |
650 | 4 | |a COMPUTERS / Enterprise Applications / Business Intelligence Tools | |
700 | 1 | |a Ramos, Ruben Oliva |e Sonstige |4 oth | |
912 | |a ZDB-5-WPSE | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-032477081 |
Datensatz im Suchindex
_version_ | 1804182072506449920 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Stirrup, Jen |
author_facet | Stirrup, Jen |
author_role | aut |
author_sort | Stirrup, Jen |
author_variant | j s js |
building | Verbundindex |
bvnumber | BV047070055 |
collection | ZDB-5-WPSE |
ctrlnum | (ZDB-5-WPSE)9781786460240178 (OCoLC)1227481734 (DE-599)BVBBV047070055 |
edition | 1 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03860nmm a2200349zc 4500</leader><controlfield tag="001">BV047070055</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20211207 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">201218s2017 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781786460240</subfield><subfield code="9">978-1-78646-024-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-5-WPSE)9781786460240178</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1227481734</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047070055</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Stirrup, Jen</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Advanced Analytics with R and Tableau</subfield><subfield code="c">Stirrup, Jen</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham</subfield><subfield code="b">Packt Publishing Limited</subfield><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (178 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">bLeverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R/bh2About This Book/h2ulliA comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and R/liliCombine Tableau analytics and visualization with the power of R using this step-by-step guide/liliWondering how R can be used with Tableau? This book is your one-stop solution./li/ulh2Who This Book Is For/h2This book will appeal to Tableau users who want to go beyond the Tableau interface and deploy the full potential of Tableau, by using R to perform advanced analytics with Tableau.A basic familiarity with R is useful but not compulsory, as the book will start off with concrete examples of R and will move quickly into more advanced spheres of analytics using online data sources to support hands-on learning. </subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Those R developers who want to integrate R in Tableau will also benefit from this book.h2What You Will Learn/h2ulliIntegrate Tableau's analytics with the industry-standard, statistical prowess of R./liliMake R function calls in Tableau, and visualize R functions with Tableau using RServe./liliUse the CRISP-DM methodology to create a roadmap for analytics investigations./liliImplement various supervised and unsupervised learning algorithms in R to return values to Tableau./liliMake quick, cogent, and data-driven decisions for your business using advanced analytical techniques such as forecasting, predictions, association rules, clustering, classification, and other advanced Tableau/R calculated field functions./li/ulh2In Detail/h2Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation.Moving from data visualization into deeper, </subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics.By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.h2Style and approach/h2Tableau (uniquely) offers excellent visualization combined with advanced analytics; R is at the pinnacle of statistical computational languages. </subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS / Data Visualization</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS / Enterprise Applications / Business Intelligence Tools</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ramos, Ruben Oliva</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-5-WPSE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032477081</subfield></datafield></record></collection> |
id | DE-604.BV047070055 |
illustrated | Not Illustrated |
index_date | 2024-07-03T16:13:34Z |
indexdate | 2024-07-10T09:01:44Z |
institution | BVB |
isbn | 9781786460240 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032477081 |
oclc_num | 1227481734 |
open_access_boolean | |
physical | 1 Online-Ressource (178 Seiten) |
psigel | ZDB-5-WPSE |
publishDate | 2017 |
publishDateSearch | 2017 |
publishDateSort | 2017 |
publisher | Packt Publishing Limited |
record_format | marc |
spelling | Stirrup, Jen Verfasser aut Advanced Analytics with R and Tableau Stirrup, Jen 1 Birmingham Packt Publishing Limited 2017 1 Online-Ressource (178 Seiten) txt rdacontent c rdamedia cr rdacarrier bLeverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R/bh2About This Book/h2ulliA comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and R/liliCombine Tableau analytics and visualization with the power of R using this step-by-step guide/liliWondering how R can be used with Tableau? This book is your one-stop solution./li/ulh2Who This Book Is For/h2This book will appeal to Tableau users who want to go beyond the Tableau interface and deploy the full potential of Tableau, by using R to perform advanced analytics with Tableau.A basic familiarity with R is useful but not compulsory, as the book will start off with concrete examples of R and will move quickly into more advanced spheres of analytics using online data sources to support hands-on learning. Those R developers who want to integrate R in Tableau will also benefit from this book.h2What You Will Learn/h2ulliIntegrate Tableau's analytics with the industry-standard, statistical prowess of R./liliMake R function calls in Tableau, and visualize R functions with Tableau using RServe./liliUse the CRISP-DM methodology to create a roadmap for analytics investigations./liliImplement various supervised and unsupervised learning algorithms in R to return values to Tableau./liliMake quick, cogent, and data-driven decisions for your business using advanced analytical techniques such as forecasting, predictions, association rules, clustering, classification, and other advanced Tableau/R calculated field functions./li/ulh2In Detail/h2Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation.Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics.By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.h2Style and approach/h2Tableau (uniquely) offers excellent visualization combined with advanced analytics; R is at the pinnacle of statistical computational languages. COMPUTERS / Data Visualization COMPUTERS / Enterprise Applications / Business Intelligence Tools Ramos, Ruben Oliva Sonstige oth |
spellingShingle | Stirrup, Jen Advanced Analytics with R and Tableau COMPUTERS / Data Visualization COMPUTERS / Enterprise Applications / Business Intelligence Tools |
title | Advanced Analytics with R and Tableau |
title_auth | Advanced Analytics with R and Tableau |
title_exact_search | Advanced Analytics with R and Tableau |
title_exact_search_txtP | Advanced Analytics with R and Tableau |
title_full | Advanced Analytics with R and Tableau Stirrup, Jen |
title_fullStr | Advanced Analytics with R and Tableau Stirrup, Jen |
title_full_unstemmed | Advanced Analytics with R and Tableau Stirrup, Jen |
title_short | Advanced Analytics with R and Tableau |
title_sort | advanced analytics with r and tableau |
topic | COMPUTERS / Data Visualization COMPUTERS / Enterprise Applications / Business Intelligence Tools |
topic_facet | COMPUTERS / Data Visualization COMPUTERS / Enterprise Applications / Business Intelligence Tools |
work_keys_str_mv | AT stirrupjen advancedanalyticswithrandtableau AT ramosrubenoliva advancedanalyticswithrandtableau |