Data Visualization: a successful design process
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Pub.
2012
|
| Schriftenreihe: | Community experience distilled
|
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Tree map Print version record |
| Beschreibung: | 1 online resource (359 pages) |
| ISBN: | 1849693463 1849693471 9781849693462 9781849693479 |
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| 490 | 0 | |a Community experience distilled | |
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| 505 | 8 | |a Table of Contents; Data Visualization: a successful design process; Data Visualization: a successful design process; Credits; About the Author; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Errata; Piracy; Questions; 1. The Context of Data Visualization; Exploiting the digital age; Visualization as a discovery tool; The bedrock of visualization knowledge | |
| 505 | 8 | |a Defining data visualizationVisualization 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; 2. Setting the Purpose and Identifying Key Factors; Clarifying 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 | |
| 505 | 8 | |a Establishing intent -- the visualization's tonePragmatic 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 scientist; The communicator; The project manager; Summary; 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 | |
| 505 | 8 | |a An example of finding and telling storiesSummary; 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 data; Determining the degree of accuracy in interpretation; Creating an appropriate design metaphor; Choosing the final solution; The visualization anatomy -- data presentation; The use of color; To represent data; To bring the data layer to the fore; To conform to design requirements | |
| 505 | 8 | |a Creating interactivityAnnotation; Arrangement; Summary; 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 chart; Sankey 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) | |
| 505 | 8 | |a A comprehensive yet quick guide to the best approaches to designing data visualizations, with real examples and illustrative diagrams. Whatever the desired outcome ensure success by following this expert design process. This book is for anyone who has responsibility for, or is interested in trying to find innovative and effective ways to visually analyze and communicate data. There is no skill, no knowledge and no role-based pre-requisites or expectations of anyone reading this book | |
| 650 | 4 | |a Database management | |
| 650 | 4 | |a Information visualization | |
| 650 | 4 | |a Data mining | |
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| 650 | 7 | |a COMPUTERS / Desktop Applications / Databases |2 bisacsh | |
| 650 | 7 | |a COMPUTERS / System Administration / Storage & Retrieval |2 bisacsh | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Database management |2 fast | |
| 650 | 7 | |a Information visualization |2 fast | |
| 650 | 4 | |a Database management | |
| 650 | 4 | |a Information visualization | |
| 650 | 4 | |a Data mining | |
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Datensatz im Suchindex
| _version_ | 1804175391551651840 |
|---|---|
| any_adam_object | |
| author | Kirk, Andy |
| author_facet | Kirk, Andy |
| author_role | aut |
| author_sort | Kirk, Andy |
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| building | Verbundindex |
| bvnumber | BV043033437 |
| collection | ZDB-4-EBA |
| contents | Table of Contents; Data Visualization: a successful design process; Data Visualization: a successful design process; Credits; About the Author; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Errata; Piracy; Questions; 1. The Context of Data Visualization; Exploiting the digital age; Visualization as a discovery tool; The bedrock of visualization knowledge Defining data visualizationVisualization 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; 2. Setting the Purpose and Identifying Key Factors; Clarifying 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 tonePragmatic 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 scientist; The communicator; The project manager; Summary; 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 storiesSummary; 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 data; Determining the degree of accuracy in interpretation; Creating an appropriate design metaphor; Choosing the final solution; The visualization anatomy -- data presentation; The use of color; To represent data; To bring the data layer to the fore; To conform to design requirements Creating interactivityAnnotation; Arrangement; Summary; 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 chart; Sankey 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) A comprehensive yet quick guide to the best approaches to designing data visualizations, with real examples and illustrative diagrams. Whatever the desired outcome ensure success by following this expert design process. This book is for anyone who has responsibility for, or is interested in trying to find innovative and effective ways to visually analyze and communicate data. There is no skill, no knowledge and no role-based pre-requisites or expectations of anyone reading this book |
| ctrlnum | (OCoLC)837635476 (DE-599)BVBBV043033437 |
| dewey-full | 005.74 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.74 |
| dewey-search | 005.74 |
| dewey-sort | 15.74 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV043033437 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:15:33Z |
| institution | BVB |
| isbn | 1849693463 1849693471 9781849693462 9781849693479 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028458087 |
| oclc_num | 837635476 |
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| physical | 1 online resource (359 pages) |
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| publisher | Packt Pub. |
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| series2 | Community experience distilled |
| spelling | Kirk, Andy Verfasser aut Data Visualization a successful design process Birmingham Packt Pub. 2012 1 online resource (359 pages) txt rdacontent c rdamedia cr rdacarrier Community experience distilled Tree map Print version record Table of Contents; Data Visualization: a successful design process; Data Visualization: a successful design process; Credits; About the Author; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Errata; Piracy; Questions; 1. The Context of Data Visualization; Exploiting the digital age; Visualization as a discovery tool; The bedrock of visualization knowledge Defining data visualizationVisualization 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; 2. Setting the Purpose and Identifying Key Factors; Clarifying 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 tonePragmatic 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 scientist; The communicator; The project manager; Summary; 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 storiesSummary; 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 data; Determining the degree of accuracy in interpretation; Creating an appropriate design metaphor; Choosing the final solution; The visualization anatomy -- data presentation; The use of color; To represent data; To bring the data layer to the fore; To conform to design requirements Creating interactivityAnnotation; Arrangement; Summary; 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 chart; Sankey 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) A comprehensive yet quick guide to the best approaches to designing data visualizations, with real examples and illustrative diagrams. Whatever the desired outcome ensure success by following this expert design process. This book is for anyone who has responsibility for, or is interested in trying to find innovative and effective ways to visually analyze and communicate data. There is no skill, no knowledge and no role-based pre-requisites or expectations of anyone reading this book Database management Information visualization Data mining COMPUTERS / Database Management / General bisacsh COMPUTERS / Desktop Applications / Databases bisacsh COMPUTERS / System Administration / Storage & Retrieval bisacsh Data mining fast Database management fast Information visualization fast Informationsgrafik (DE-588)7675049-8 gnd rswk-swf Visualisierung (DE-588)4188417-6 gnd rswk-swf Visualisierung (DE-588)4188417-6 s Informationsgrafik (DE-588)7675049-8 s 1\p DE-604 Erscheint auch als Druck-Ausgabe Kirk, Andy Data Visualization : a successful design process http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=526173 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kirk, Andy Data Visualization a successful design process Table of Contents; Data Visualization: a successful design process; Data Visualization: a successful design process; Credits; About the Author; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Errata; Piracy; Questions; 1. The Context of Data Visualization; Exploiting the digital age; Visualization as a discovery tool; The bedrock of visualization knowledge Defining data visualizationVisualization 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; 2. Setting the Purpose and Identifying Key Factors; Clarifying 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 tonePragmatic 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 scientist; The communicator; The project manager; Summary; 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 storiesSummary; 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 data; Determining the degree of accuracy in interpretation; Creating an appropriate design metaphor; Choosing the final solution; The visualization anatomy -- data presentation; The use of color; To represent data; To bring the data layer to the fore; To conform to design requirements Creating interactivityAnnotation; Arrangement; Summary; 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 chart; Sankey 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) A comprehensive yet quick guide to the best approaches to designing data visualizations, with real examples and illustrative diagrams. Whatever the desired outcome ensure success by following this expert design process. This book is for anyone who has responsibility for, or is interested in trying to find innovative and effective ways to visually analyze and communicate data. There is no skill, no knowledge and no role-based pre-requisites or expectations of anyone reading this book Database management Information visualization Data mining COMPUTERS / Database Management / General bisacsh COMPUTERS / Desktop Applications / Databases bisacsh COMPUTERS / System Administration / Storage & Retrieval bisacsh Data mining fast Database management fast Information visualization fast Informationsgrafik (DE-588)7675049-8 gnd Visualisierung (DE-588)4188417-6 gnd |
| subject_GND | (DE-588)7675049-8 (DE-588)4188417-6 |
| title | Data Visualization a successful design process |
| title_auth | Data Visualization a successful design process |
| title_exact_search | Data Visualization a successful design process |
| title_full | Data Visualization a successful design process |
| title_fullStr | Data Visualization a successful design process |
| title_full_unstemmed | Data Visualization a successful design process |
| title_short | Data Visualization |
| title_sort | data visualization a successful design process |
| title_sub | a successful design process |
| topic | Database management Information visualization Data mining COMPUTERS / Database Management / General bisacsh COMPUTERS / Desktop Applications / Databases bisacsh COMPUTERS / System Administration / Storage & Retrieval bisacsh Data mining fast Database management fast Information visualization fast Informationsgrafik (DE-588)7675049-8 gnd Visualisierung (DE-588)4188417-6 gnd |
| topic_facet | Database management Information visualization Data mining COMPUTERS / Database Management / General COMPUTERS / Desktop Applications / Databases COMPUTERS / System Administration / Storage & Retrieval Informationsgrafik Visualisierung |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=526173 |
| work_keys_str_mv | AT kirkandy datavisualizationasuccessfuldesignprocess |