List of Tables

Chapter 1. Getting to know graph visualization

Table 1.1. A list of names and countries where those names are common

Chapter 2. Case studies

Table 2.1. More industries and data where graph visualization can be used

Chapter 3. An introduction to Gephi and KeyLines

Table 3.1. A list of the more popular graph visualization tools

Chapter 4. Data modeling

Table 4.1. A sample student registry

Table 4.2. A sample teacher registry

Table 4.3. A sample teacher directory

Table 4.4. A sample class registration, combining data elements from tables 4.1 and 4.3

Table 4.5. Three different ways to display data about David Smith. The matching birthdays indicate it’s probably the same David Smith, but it’s hard for an automated process to understand this because none of the fields match.

Chapter 5. How to build graph visualizations

Table 5.1. Visual properties and when they’re helpful

Chapter 7. How to organize a chart

Table 7.1. Popular layouts and when they’re most helpful

Chapter 8. Big data: using graphs when there’s too much data

Table 8.1. The benefits and drawbacks of filtering on the data side versus the visual side

Chapter 9. Dynamic graphs: how to show data over time

Table 9.1. A list of ways graphs can change over time and why those changes might be relevant to see

Chapter 10. Graphs on maps: the where of graph visualization

Table 10.1. A list of potential properties on LaGuardia Airport