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Data visualization [[electronic resource] ] : a successful design process ; a structured design approach to equip you with the knowledge of how to successfully accomplish any data visualization challenge efficiently and effectively / / Andy Kirk
| Data visualization [[electronic resource] ] : a successful design process ; a structured design approach to equip you with the knowledge of how to successfully accomplish any data visualization challenge efficiently and effectively / / Andy Kirk |
| Autore | Kirk Andy <1898-1992.> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, UK, : Packt Pub., 2012 |
| Descrizione fisica | 1 online resource (206 p.) |
| Disciplina | 005.74 |
| Collana | Community experience distilled |
| Soggetto topico |
Information visualization
Software visualization |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-93798-0
1-84969-347-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The Context of Data Visualization; Exploiting the digital age; Visualization as a discovery tool; The bedrock of visualization knowledge; Defining data visualization; Visualization skills for the masses; The data visualization methodology; Visualization design objectives; Strive for form and function; Justifying the selection of everything we do; Creating accessibility through intuitive design; Never deceive the receiver; Summary
Chapter 2: Setting the Purpose and Identifying Key FactorsClarifying the purpose of your project; The reason for existing; The intended effect; Establishing intent - the visualization's function; When the function is to explain; When the function is to explore; When the function is to exhibit data; Establishing intent - the visualization's tone; Pragmatic and analytical; Emotive and abstract; Key factors surrounding a visualization project; The ""eight hats"" of data visualization design; The initiator; The data scientist; The journalist; The computer scientist; The designer The cognitive scientistThe communicator; The project manager; Summary; Chapter 3: Demonstrating Editorial Focus and Learning About Your Data; The importance of editorial focus; Preparing and familiarizing yourself with your data; Refining your editorial focus; Using visual analysis to find stories; An example of finding and telling stories; Summary; Chapter 4: Conceiving and Reasoning Visualization Design Options; Data visualization design is all about choices; Some helpful tips; The visualization anatomy - data representation; Choosing the correct visualization method Considering the physical properties of our dataDetermining the degree of accuracy in interpretation; Creating an appropriate design metaphor; Choosing the final solution; The visualization anatomy - data presentation; The use of color; Creating interactivity; Annotation; Arrangement; Summary; Chapter 5: Taxonomy of Data Visualization Methods; Data visualization methods; Choosing the appropriate chart type; Comparing categories; Dot plot; Bar chart (or column chart); Floating bar (or Gantt chart); Pixelated bar chart; Histogram; Slopegraph (or bumps chart or table chart); Radial chart Glyph chartSankey diagram; Area size chart; Small multiples (or trellis chart); Word cloud; Assessing hierarchies and part-to-whole relationships; Pie chart; Stacked bar chart (or stacked column chart); Square pie (or unit chart or waffle chart); Tree map; Circle packing diagram; Bubble hierarchy; Tree hierarchy; Showing changes over time; Line chart; Sparklines; Area chart; Horizon chart; Stacked area chart; Stream graph; Candlestick chart (or box and whiskers plot, OHLC chart); Barcode chart; Flow map; Plotting connections and relationships; Scatter plot; Bubble plot; Scatter plot matrix Heatmap (or matrix chart) |
| Record Nr. | UNINA-9910463220003321 |
Kirk Andy <1898-1992.>
|
||
| Birmingham, UK, : Packt Pub., 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data visualization [[electronic resource] ] : a successful design process ; a structured design approach to equip you with the knowledge of how to successfully accomplish any data visualization challenge efficiently and effectively / / Andy Kirk
| Data visualization [[electronic resource] ] : a successful design process ; a structured design approach to equip you with the knowledge of how to successfully accomplish any data visualization challenge efficiently and effectively / / Andy Kirk |
| Autore | Kirk Andy <1898-1992.> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, UK, : Packt Pub., 2012 |
| Descrizione fisica | 1 online resource (206 p.) |
| Disciplina | 005.74 |
| Collana | Community experience distilled |
| Soggetto topico |
Information visualization
Software visualization |
| ISBN |
1-283-93798-0
1-84969-347-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The Context of Data Visualization; Exploiting the digital age; Visualization as a discovery tool; The bedrock of visualization knowledge; Defining data visualization; Visualization skills for the masses; The data visualization methodology; Visualization design objectives; Strive for form and function; Justifying the selection of everything we do; Creating accessibility through intuitive design; Never deceive the receiver; Summary
Chapter 2: Setting the Purpose and Identifying Key FactorsClarifying the purpose of your project; The reason for existing; The intended effect; Establishing intent - the visualization's function; When the function is to explain; When the function is to explore; When the function is to exhibit data; Establishing intent - the visualization's tone; Pragmatic and analytical; Emotive and abstract; Key factors surrounding a visualization project; The ""eight hats"" of data visualization design; The initiator; The data scientist; The journalist; The computer scientist; The designer The cognitive scientistThe communicator; The project manager; Summary; Chapter 3: Demonstrating Editorial Focus and Learning About Your Data; The importance of editorial focus; Preparing and familiarizing yourself with your data; Refining your editorial focus; Using visual analysis to find stories; An example of finding and telling stories; Summary; Chapter 4: Conceiving and Reasoning Visualization Design Options; Data visualization design is all about choices; Some helpful tips; The visualization anatomy - data representation; Choosing the correct visualization method Considering the physical properties of our dataDetermining the degree of accuracy in interpretation; Creating an appropriate design metaphor; Choosing the final solution; The visualization anatomy - data presentation; The use of color; Creating interactivity; Annotation; Arrangement; Summary; Chapter 5: Taxonomy of Data Visualization Methods; Data visualization methods; Choosing the appropriate chart type; Comparing categories; Dot plot; Bar chart (or column chart); Floating bar (or Gantt chart); Pixelated bar chart; Histogram; Slopegraph (or bumps chart or table chart); Radial chart Glyph chartSankey diagram; Area size chart; Small multiples (or trellis chart); Word cloud; Assessing hierarchies and part-to-whole relationships; Pie chart; Stacked bar chart (or stacked column chart); Square pie (or unit chart or waffle chart); Tree map; Circle packing diagram; Bubble hierarchy; Tree hierarchy; Showing changes over time; Line chart; Sparklines; Area chart; Horizon chart; Stacked area chart; Stream graph; Candlestick chart (or box and whiskers plot, OHLC chart); Barcode chart; Flow map; Plotting connections and relationships; Scatter plot; Bubble plot; Scatter plot matrix Heatmap (or matrix chart) |
| Record Nr. | UNINA-9910786069503321 |
|
Kirk Andy <1898-1992.>
|
||
| Birmingham, UK, : Packt Pub., 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||