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Advanced Analytics with R and Tableau

You're reading from   Advanced Analytics with R and Tableau Advanced analytics using data classification, unsupervised learning and data visualization

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781786460110
Length 178 pages
Edition 1st Edition
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Authors (3):
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Roberto Rösler Roberto Rösler
Author Profile Icon Roberto Rösler
Roberto Rösler
Ruben Oliva Ramos Ruben Oliva Ramos
Author Profile Icon Ruben Oliva Ramos
Ruben Oliva Ramos
Jen Stirrup Jen Stirrup
Author Profile Icon Jen Stirrup
Jen Stirrup
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Table of Contents (10) Chapters Close

Preface 1. Advanced Analytics with R and Tableau FREE CHAPTER 2. The Power of R 3. A Methodology for Advanced Analytics Using Tableau and R 4. Prediction with R and Tableau Using Regression 5. Classifying Data with Tableau 6. Advanced Analytics Using Clustering 7. Advanced Analytics with Unsupervised Learning 8. Interpreting Your Results for Your Audience Index

Business understanding

When we are modeling data, it is crucial to keep the original business objectives in mind. These business objectives will direct the subsequent work in the data understanding, preparation and modeling steps, and the final evaluation and selection (after revisiting earlier steps if necessary) of a classification model or models.

At later stages, this will help to streamline the project because we will be able to keep the model's performance in line with the original requirement, while retaining a focus on ensuring a return on investment from the project.

The main business objective is to identify individuals who are higher earners, so that they can be targeted by a marketing campaign. For this purpose, we will investigate the data mining of demographic data in order to create a classification model in R. The model will be able to accurately determine whether individuals earn a salary that is above or below $50K per annum. The datasets used in this chapter were...

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