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Advanced Analytics with R and Tableau

更新時間：2021-07-02 20:26:18

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ThisbookwillappealtoTableauuserswhowanttogobeyondtheTableauinterfaceanddeploythefullpotentialofTableau,byusingRtoperformadvancedanalyticswithTableau.AbasicfamiliaritywithRisusefulbutnotcompulsory,asthebookwillstartoffwithconcreteexamplesofRandwillmovequicklyintomoreadvancedspheresofanalyticsusingonlinedatasourcestosupporthands-onlearning.ThoseRdeveloperswhowanttointegrateRinTableauwillalsobenefitfromthisbook.

目錄(86章)

倒序

封面
書名頁
Advanced Analytics with R and Tableau
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Chapter 1. Advanced Analytics with R and Tableau
Installing R for Windows
RStudio
Implementing the scripts for the book
Tableau and R connectivity using Rserve
Summary
Chapter 2. The Power of R
Core essentials of R programming
Data structures in R
Data frames
Control structures in R
For loops and vectorization in R
Functions
Creating your own function
Making R run more efficiently in Tableau
Summary
Chapter 3. A Methodology for Advanced Analytics Using Tableau and R
Industry standard methodologies for analytics
CRISP-DM
Team Data Science Process
Working with dirty data
Introduction to dplyr
Summary
Chapter 4. Prediction with R and Tableau Using Regression
Getting started with regression
Comparing actual values with predicted results
Getting started with multiple regression?
Solving the business question
Sharing our data analysis using Tableau
Summary
Chapter 5. Classifying Data with Tableau
Business understanding
Understanding the data
Modeling in R
Model deployment
Decision trees in Tableau using R
Bayesian methods
Graphs
Summary
Chapter 6. Advanced Analytics Using Clustering
What is Clustering?
Finding clusters in data
Clustering in Tableau
Clustering example in Tableau
Interpreting your results
How Clustering Works in Tableau
Scaling
Clustering without using k-means
Statistics for Clustering
Introduction to R
Summary
Chapter 7. Advanced Analytics with Unsupervised Learning
What are neural networks?
Backpropagation and Feedforward neural networks
Evaluating a neural network model
Neural network performance measures
Visualizing neural network results
Neural network in R
Modeling and evaluating data in Tableau
Summary
Chapter 8. Interpreting Your Results for Your Audience
Introduction to decision system and machine learning
Decision system-based Bayesian
Bayesian Theory
Fuzzy logic
Building a simple decision system-based Bayesian theory
Integrating a decision system and IoT project
Building your own decision system-based IoT
Summary
References
Index 更新時間：2021-07-02 20:26:18

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Advanced Analytics with R and Tableau