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Essentials of Business Analytics

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Cover of 'Essentials of Business Analytics'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Data Collection
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    Chapter 3 Data Management—Relational Database Systems (RDBMS)
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    Chapter 4 Big Data Management
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    Chapter 5 Data Visualization
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    Chapter 6 Statistical Methods: Basic Inferences
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    Chapter 7 Statistical Methods: Regression Analysis
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    Chapter 8 Advanced Regression Analysis
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    Chapter 9 Text Analytics
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    Chapter 10 Simulation
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    Chapter 11 Introduction to Optimization
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    Chapter 12 Forecasting Analytics
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    Chapter 13 Count Data Regression
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    Chapter 14 Survival Analysis
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    Chapter 15 Machine Learning (Unsupervised)
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    Chapter 16 Machine Learning (Supervised)
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    Chapter 17 Deep Learning
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    Chapter 18 Retail Analytics
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    Chapter 19 Marketing Analytics
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    Chapter 20 Financial Analytics
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    Chapter 21 Social Media and Web Analytics
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    Chapter 22 Healthcare Analytics
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    Chapter 23 Pricing Analytics
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    Chapter 24 Supply Chain Analytics
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    Chapter 25 Case Study: Ideal Insurance
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    Chapter 26 Case Study: AAA Airline
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    Chapter 27 Case Study: InfoMedia Solutions
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    Chapter 28 Introduction to R
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    Chapter 29 Introduction to Python
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    Chapter 30 Probability and Statistics
Attention for Chapter 28: Introduction to R
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Chapter title
Introduction to R
Chapter number 28
Book title
Essentials of Business Analytics
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-319-68837-4_28
Book ISBNs
978-3-31-968836-7, 978-3-31-968837-4
Authors

Peeyush Taori, Hemanth Kumar Dasararaju

Mendeley readers

The data shown below were compiled from readership statistics for 6,188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 167 3%
Brazil 87 1%
United Kingdom 73 1%
Germany 45 <1%
Spain 31 <1%
France 26 <1%
South Africa 24 <1%
Canada 22 <1%
Italy 20 <1%
Other 284 5%
Unknown 5409 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1707 28%
Researcher 1221 20%
Student > Master 993 16%
Student > Bachelor 439 7%
Student > Doctoral Student 368 6%
Other 1170 19%
Unknown 290 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 2020 33%
Environmental Science 540 9%
Computer Science 420 7%
Engineering 347 6%
Social Sciences 314 5%
Other 2083 34%
Unknown 464 7%