Spis treści publikacji pt. „Data Visualization: a successful design process”.

Tytuł: „Data Visualization: a successful design process”
Autor: Andy Kirk
Wydawca: Packt Publishing
Data wydania: 2012-12-26
Język: Angielski
Liczba stron: 206

Spis treści

Spis treści / Table of contents

Preface / 1

Chapter 1: The Context of Data Visualization / 7

Exploiting the digital age / 7

Visualization as a discovery tool / 10

The bedrock of visualization knowledge / 12

Defining data visualization / 16

Visualization skills for the masses / 18

The data visualization methodology / 19

Visualization design objectives / 21

Strive for form and function / 21

Justifying the selection of everything we do / 22

Creating accessibility through intuitive design / 24

Never deceive the receiver / 26

Summary / 28

Chapter 2: Setting the Purpose and Identifying Key Factors / 29

Clarifying the purpose of your project / 30

The reason for existing / 30

The intended effect / 31

Establishing intent – the visualization’s function / 33

When the function is to explain / 33

When the function is to explore / 35

When the function is to exhibit data / 37

Establishing intent – the visualization’s tone / 39

Pragmatic and analytical / 40

Emotive and abstract / 42

Key factors surrounding a visualization project / 45

The “eight hats” of data visualization design / 48

The initiator / 48

The data scientist / 49

The journalist / 49

The computer scientist / 49

The designer / 49

The cognitive scientist / 50

The communicator / 50

The project manager / 50

Summary / 51

Chapter 3: Demonstrating Editorial Focus and Learning About Your Data / 53

The importance of editorial focus / 54

Preparing and familiarizing yourself with your data / 56

Refining your editorial focus / 63

Using visual analysis to find stories / 67

An example of finding and telling stories / 71

Summary / 78

Chapter 4: Conceiving and Reasoning

Visualization Design Options / 79

Data visualization design is all about choices / 80

Some helpful tips / 82

The visualization anatomy – data representation / 84

Choosing the correct visualization method / 84

Considering the physical properties of our data / 86

Determining the degree of accuracy in interpretation / 87

Creating an appropriate design metaphor / 92

Choosing the final solution / 94

The visualization anatomy – data presentation / 95

The use of color / 96

Creating interactivity / 107

Annotation / 111

Arrangement / 115

Summary / 117

Chapter 5: Taxonomy of Data Visualization Methods / 119

Data visualization methods / 120

Choosing the appropriate chart type / 121

Comparing categories / 122

Dot plot / 122

Bar chart (or column chart) / 123

Floating bar (or Gantt chart) / 123

Pixelated bar chart / 124

Histogram / 125

Slopegraph (or bumps chart or table chart) / 126

Radial chart / 126

Glyph chart / 127

Sankey diagram / 128

Area size chart / 129

Small multiples (or trellis chart) / 130

Word cloud / 131

Assessing hierarchies and part-to-whole relationships / 131

Pie chart / 131

Stacked bar chart (or stacked column chart) / 132

Square pie (or unit chart or waffle chart) / 133

Tree map / 134

Circle packing diagram / 134

Bubble hierarchy / 135

Tree hierarchy / 136

Showing changes over time / 137

Line chart / 137

Sparklines / 138

Area chart / 139

Horizon chart / 139

Stacked area chart / 140

Stream graph 141

Candlestick chart (or box and whiskers plot, OHLC chart) / 142

Barcode chart / 142

Flow map / 143

Plotting connections and relationships / 144

Scatter plot / 144

Bubble plot / 145

Scatter plot matrix / 146

Heatmap (or matrix chart) / 146

Parallel sets (or parallel coordinates) / 147

Radial network (or chord diagram) / 148

Network diagram (or force-directed/node-link network) 149

Mapping geo-spatial data / 150

Choropleth map / 151

Dot plot map / 152

Bubble plot map / 152

Isarithmic map (or contour map or topological map) / 153

Particle flow map / 154

Cartogram / 155

Dorling cartogram / 156

Network connection map / 157

Summary / 158

Chapter 6: Constructing and Evaluating Your Design Solution / 159

For constructing visualizations, technology matters / 159

Visualization software, applications, and programs / 161

Charting and statistical analysis tools / 161

Programming environments / 165

Tools for mapping / 167

Other specialist tools / 169

The construction process / 169

Approaching the finishing line / 172

Post-launch evaluation / 173

Developing your capabilities / 176

Practice, practice, practice! / 176

Evaluating the work of others / 177

Publishing and sharing your output / 178

Immerse yourself into learning about the field / 178

Summary / 181

Index / 183

Kreatywne pozdrowienia,

Informacje o artykule

 

Data aktualizacji: 27.12.2023 r.
Autor: Zespół Infografika Polska
Redakcja: Natalia Cieślak
Nadzór merytoryczny: Anita Bednarczyk

Korekta: Katarzyna Kamińska
Grafiki: infografikapolska.pl/baza
Źródło informacji: Institute of Infographics
Kontakt z redakcją: info@infografikapolska.pl

Data aktualizacji: 27.12.2023 r.
Autor: Zespół Infografika Polska
Redakcja: Natalia Cieślak
Nadzór merytoryczny: Anita Bednarczyk
Korekta: Katarzyna Kamińska
Grafiki: infografikapolska.pl/baza
Źródło informacji: Institute of Infographics
Kontakt z redakcją: info@infografikapolska.pl

Wyrusz z nami w wirtualną podróż do świata infografiki ilustracyjnej i dziennikarskiej!

Nasze kursy o infografice to wirtualna przygoda, w której możesz poczuć się jak prawdziwy odkrywca, eksplorując nieznany dotąd świat. To idealna możliwość poszerzenia swoich horyzontów, bez wychodzenia z domu.

Wyrusz z nami w wirtualną podróż do świata infografiki ilustracyjnej i dziennikarskiej!

Nasze kursy o infografice to wirtualna przygoda, w której możesz poczuć się jak prawdziwy odkrywca, eksplorując nieznany dotąd świat. To idealna możliwość poszerzenia swoich horyzontów, bez wychodzenia z domu.