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  • Book Overview & Buying Big Data Visualization
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Big Data Visualization

Big Data Visualization

By : James D. Miller , Dalong Chen
2 (1)
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Big Data Visualization

Big Data Visualization

2 (1)
By: James D. Miller , Dalong Chen
Buy this Book

Overview of this book

Gain valuable insight into big data analytics with this book. Covering the tools you need to analyse data, together with IBM certified expert James Miller?s insight, this book is the key to data visualization success. ? Learn the tools & techniques to process big data for efficient data visualization ? Packed with insightful real-world use cases ? Addresses the difficulties faced by professionals in the field of big data analytics
Table of Contents (9 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Introduction to Big Data Visualization
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1. Introduction to Big Data Visualization
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An explanation of data visualization
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Challenges of big data visualization
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Approaches to big data visualization
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Summary
2
2. Access, Speed, and Storage with Hadoop
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2. Access, Speed, and Storage with Hadoop
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About Hadoop
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Log files and Excel
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Hadoop and big data
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Example 1
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Example 2
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Summary
3
3. Understanding Your Data Using R
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3. Understanding Your Data Using R
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Definitions and explanations
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Adding context
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About R
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Example 1
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Digging in with R
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Example 2
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Summary
4
4. Addressing Big Data Quality
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4. Addressing Big Data Quality
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Data quality categorized
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DataManager
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DataManager and big data
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Some examples
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More examples
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Summary
5
5. Displaying Results Using D3
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5. Displaying Results Using D3
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About D3
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D3 and big data
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Some basic examples
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More examples
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Summary
6
6. Dashboards for Big Data - Tableau
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6. Dashboards for Big Data - Tableau
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About Tableau
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Tableau and big data
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Example 1 - Sales transactions
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Example 2
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Summary
7
7. Dealing with Outliers Using Python
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7. Dealing with Outliers Using Python
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About Python
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Python and big data
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Outliers
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Some basic examples
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More examples
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Summary
8
8. Big Data Operational Intelligence with Splunk
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8. Big Data Operational Intelligence with Splunk
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About Splunk
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Splunk visualization -  real-time log analysis
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Splunk visualization - deeper into the logs
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Summary

More examples

Let us now go a bit further into D3 by looking at some additional examples.

Another twist on bar chart visualizations

A bar chart is a pretty common type of data visualization and we've already seen some examples using the D3 libraries. One more bar-chart D3 template is worth a quick look. This one is able to handle negative values. Think about it--most bar charts show positive values so flipping the tic of an axis (as its referred to) requires some special logic.

The D3 example named Bar Chart with Negative Values II handles this kind of scenario nicely and it can be viewed and downloaded from the following location: http://blocks.org/mbostock/79a82f4b9bffb69d89ae.

This sample template shows both negative and positive values for the letters A through H, and it is shown in the following figure:

Getting back to our manufacturing plant, a new challenge has been implemented by management. That is a product output target has been set for each of the plant's machines. Management wants...

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83
Tech Concepts
36
Programming languages
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