Nettbokhandelen for kjøp og salg av bøker.

Kom i gang

Lær å selge
Lær å kjøpe brukt
Kjøp pensumbøker
Logg inn eller registrer deg
Kjøp et gavekort
For forfattere

Kundeservice

Hjelp
Spor ordre
Brukervilkår
Personvernregler
Informasjonskapsler

Bookis

Om oss
Jobb hos oss!
Gi tilbakemelding
Sjangere

Kontakt oss

Rask levering med

Trygg betaling med

Visa
Mastercard
Vipps
Klarna

© 2026 Bookis AS

Norsk

Norge

Region er basert på IP-adresse

  1. Hjem
  5. Datavitenskap og -analyse
  1. Hjem
  3. Sjangere
  7. Datavitenskap og -analyse
Data Science in R

Pocket • 2015 • 1. utgave

Data Science in R

Av USA) Nolan Deborah (University of California Berkeley, USA) Lang Duncan Temple (University of California Davis

0 vurderinger • 0.0 av 5

‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌

Om boken

Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData 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 ...Vis mer

Datavitenskap og -analyse
Beslutningsteori
Avkolonisering av kunnskap

Om boken

ISBN

9781482234817

Forlag

Apple Academic Press Inc.

Publiseringsår

2015

Språk

Utgave

1

Originaltittel

Data Science in R

Format

Pocket

Frakt og retur

Frakt

Brukte bøker sendes av selgeren. Forventet leveringstid etter pakken er sendt er 2-4 dager.

Returer

Kontakt selgeren etter levering.

Omtaler · 0

0 vurderinger • 0.0 av 5

Du vil kanskje også like

Data Visualisation A Handbook for Data Driven Design

Data Visualisation A Handbook for Data Driven Design

Andy Kirk

Data Analysis For Social Science: A Friendly and Practical Introduction

Data Analysis For Social Science: A Friendly and Practical Introduction

Elena Llaudet

The Future of Data

The Future of Data

Anil Agarwal

Python Data Science Handbook Essential Tools for Working with Data

Python Data Science Handbook Essential Tools for Working with Data

Jake VanderPlas

Data and Society A Critical Introduction

Data and Society A Critical Introduction

Anne Beaulieu

An Introduction to Statistical Learning with Applications in R

An Introduction to Statistical Learning with Applications in R

Gareth James

The Data Revolution A Critical Analysis of Big Data, Open Data & Data Infrastructures

The Data Revolution A Critical Analysis of Big Data, Open Data & Data Infrastructures

Rob Kitchin

Data analytics for accounting

Data analytics for accounting

Finn Kinserdal

Data Feminism

Data Feminism

Catherine D'Ignazio

The Art of Statistics

The Art of Statistics

David Spiegelhalter

Storytelling with Data Let's Practice!

Storytelling with Data Let's Practice!

Cole Nussbaumer Knaflic

Data mining for business analytics

Data mining for business analytics

Galit Shmueli

Data Visualization

Data Visualization

Kieran Healy

Statistical Analysis with R For Dummies

Statistical Analysis with R For Dummies

Joseph Schmuller

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Hadley Wickham

R for Everyone

R for Everyone

Jared P. Lander

Quantitative Social Science

Quantitative Social Science

Kosuke Imai

Financial Analytics with R

Financial Analytics with R

Mark Bennett

Statistics and Data Analysis for Financial Engineering with R examples

Statistics and Data Analysis for Financial Engineering with R examples

David Ruppert

The New Statistics with R

The New Statistics with R

University of Oxford) Hector Andy (Professor of Ecology Department of Plant Sciences

How to do Linguistics with R

How to do Linguistics with R

Natalia (Universite catholique de Louvain) Levshina

Data Analysis with R

Data Analysis with R

Statistics : An Introduction Using R

Statistics : An Introduction Using R

Michael J. Crawley

Doing Data Science

Doing Data Science

Data-Driven Modeling & Scientific Computation

Data-Driven Modeling & Scientific Computation

Johannes Nathan

Data Smart: Using Data Science to Transform Information Into Insight

Data Smart: Using Data Science to Transform Information Into Insight

John W. Foreman

Learning R

Learning R

Richard Cotton

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Foster Provost

The R Book

The R Book

Mick Crawley

Data Analysis and Data Mining: An Introduction

Data Analysis and Data Mining: An Introduction

Adelchi Azzalini

Discovering Statistics Using R

Discovering Statistics Using R

Andy P. Field

Data Analysis with Open Source Tools

Data Analysis with Open Source Tools

Philipp Janert

Analyzing Linguistic Data A Practical Introduction to Statistics Using R

Analyzing Linguistic Data A Practical Introduction to Statistics Using R

R. H. Baayen

Statistical Computing with R

Statistical Computing with R

Maria L. Rizzo

Statistics

Statistics

Michael J.Crawley

Statistics for the Behavioral Sciences

Statistics for the Behavioral Sciences

Susan A. Nolan

Introductory Statistics with R

Introductory Statistics with R

Petter Dalgaard

Data Science and Big Data Analytics

Data Science and Big Data Analytics

Big Data

Big Data

Viktor Mayer-Schönberger