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Predictive Analytics using Rattle and Qlik Sense

You're reading from   Predictive Analytics using Rattle and Qlik Sense Create comprehensive solutions for predictive analysis using Rattle and share them with Qlik Sense

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781784395803
Length 242 pages
Edition 1st Edition
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Author (1):
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Ferran Garcia Pagans Ferran Garcia Pagans
Author Profile Icon Ferran Garcia Pagans
Ferran Garcia Pagans
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Table of Contents (11) Chapters Close

Preface 1. Getting Ready with Predictive Analytics FREE CHAPTER 2. Preparing Your Data 3. Exploring and Understanding Your Data 4. Creating Your First Qlik Sense Application 5. Clustering and Other Unsupervised Learning Methods 6. Decision Trees and Other Supervised Learning Methods 7. Model Evaluation 8. Visualizations, Data Applications, Dashboards, and Data Storytelling 9. Developing a Complete Application Index

Chapter 8. Visualizations, Data Applications, Dashboards, and Data Storytelling

In this chapter, we'll focus on data visualization. Representing your data and insights visually will help business users to understand it. A good data application allows the business user to explore data, understand it, and discover new things.

Usually, a dashboard is a visual representation of the most important Key Performance Indicator (KPI) of a company, department, or business process. A dashboard can be created on a sheet of paper, in a spreadsheet, or with the help of a data visualization tool such as Qlik Sense.

When you create a dashboard with Qlik Sense, you create a live application. A Qlik Sense application can take the form of a dashboard or an analytic application. As you will see in this chapter, Qlik Sense allows you to combine this dashboard, analysis, and reporting in the same data application.

In data visualizations; charts, tables and other visualizations are the building blocks...

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