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Visualizing
Streaming
Data
INTERACTIVE ANALYSIS
BEYOND STATIC LIMITS
Anthony Aragues
Interactive Analysis Beyond Static Limits
Visualizing Streaming Data
Anthony Aragues
Beijing
Boston Farnham Sebastopol
Tokyo
Visualizing Streaming Data
by Anthony Aragues
Copyright © 2018 Anthony Aragues. All rights reserved.
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978-1-492-03185-7
[TI]
Table of Contents
Preface. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii
1.
Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Why Visualizations
The Standard
Terms
Data Formats
Data Visualization Applications
Assumptions and Setup
Presentation Goals
Pre-batch Analysis
The Analyst Decision Queue
Data Pipeline Visualization
Show Movement on a Map
Asking New Questions
Seeing Frequency and Order
Data Source Types
What to Stream
Data Storage Considerations
Managing Multiple Sources
How to Stream Data
Buffering
Streaming Best Practices
2
3
4
4
6
6
2.
Goals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
10
15
16
17
18
18
19
22
22
23
24
30
32
34
iii
3.
Data Sources. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
4.
Streaming Your Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29

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