2018 IEEE 8th Symposium on Large Data Analysis and Visualization : 21 October 2018, Berlin, Germany / / Institute of Electrical and Electronics Engineers |
Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 |
Descrizione fisica | 1 online resource (111 pages) |
Disciplina | 001.4 |
Soggetto topico |
Information visualization - Data processing
Big data Data mining |
ISBN | 1-5386-6873-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910327860103321 |
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 | ||
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Lo trovi qui: Univ. Federico II | ||
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2018 IEEE 8th Symposium on Large Data Analysis and Visualization : 21 October 2018, Berlin, Germany / / Institute of Electrical and Electronics Engineers |
Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 |
Descrizione fisica | 1 online resource (111 pages) |
Disciplina | 001.4 |
Soggetto topico |
Information visualization - Data processing
Big data Data mining |
ISBN | 1-5386-6873-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996575374103316 |
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Agile Visualization with Pharo : crafting interactive visual support using roassal / / Alexandre Bergel |
Autore | Bergel Alexandre |
Pubbl/distr/stampa | New York, New York : , : Apress Media LLC, , [2022] |
Descrizione fisica | 1 online resource (268 pages) |
Disciplina | 001.4226 |
Soggetto topico |
Information visualization - Data processing
Agile software development |
ISBN | 1-4842-7161-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Chapter 1: Introduction -- Agile Visualization -- The Pharo Programming Language -- The Roassal Visualization Engine -- Roassal License -- Contributing to the Development of Roassal -- Accompanying Source Code -- Want to Have a Chat? -- Book Overview -- Who Should Read This Book? -- Acknowledgments -- Chapter 2: Quick Start -- Installation -- First Visualization -- Visualizing the Filesystem -- Charting Data -- Sunburst -- Graph Rendering -- What Have You Learned in This Chapter? -- Chapter 3: Pharo in a Nutshell -- Hello World -- Visualizing Some Numbers -- From Scripts to Object-Oriented Programming -- Pillars of Object-Oriented Programming -- Sending Messages -- Creating Objects -- Creating Classes -- Creating Methods -- Block Closures -- Control Structures -- Collections -- Cascades -- A Bit of Metaprogramming -- What Have You Learned in This Chapter? -- Chapter 4: Agile Visualization -- Visualizing Classes as a Running Example -- Example in the Pharo Environment -- Closing Words -- What Have You Learned in This Chapter? -- Chapter 5: Overview of Roassal -- Architecture of Roassal -- Shapes -- Canvas -- Events -- Interaction -- Normalizer -- Layouts -- Inspector Integration -- Animation -- What Have You Learned in This Chapter? -- Chapter 6: The Roassal Canvas -- Opening, Resizing, and Closing a Canvas -- Camera and Shapes -- Virtual Space -- Shape Order -- Canvas Controller -- Converting a Canvas to a Shape -- Events -- What Have You Learned in This Chapter? -- Chapter 7: Shapes -- Box -- Circle and Ellipse -- Label -- Polygon -- SVG Path -- Common Features -- Model -- Line -- Line Attach Point -- Line Marker -- Line with Control Points -- What Have You Learned in This Chapter? -- Chapter 8: Line Builder -- Difficulties with Build Lines -- Using a Line Builder.
Using Associations -- Graph Visualization -- What Have You Learned in This Chapter? -- Chapter 9: Shape Composition -- Composite Shapes -- Model Object in Composite -- Labels Part of a Composition -- Labeled Circles -- What Have You Learned in This Chapter? -- Chapter 10: Normalizing and Scaling Values -- Normalizing Shape Size -- The RSNormalizer Class -- Combining Normalization -- Normalizing Shape Position -- Line Width -- Scaling -- What Have You Learned in This Chapter? -- Chapter 11: Interactions -- Useful Interactions -- Using Any Shape in a Popup -- RSLabeled -- RSHighlightable -- What Have You Learned in This Chapter? -- Chapter 12: Layouts -- Circle Layout -- Grid Layout -- Flow Layout -- Rectangle Pack Layout -- Line Layout -- Tree Layout -- Force-Based Layout -- Conditional Layout -- Graphviz Layouts -- Installing Graphviz -- Bridging Roassal and Graphviz -- Graphviz Layout -- What Have You Learned in This Chapter? -- Chapter 13: Integration in the Inspector -- Pharo Inspector -- Visualizing a Collection of Numbers -- Chaining Visualizations -- What Have You Learned in This Chapter? -- Chapter 14: Reinforcement Learning -- Implementation Overview -- Defining the Map -- Modeling State -- The Reinforcement Learning Algorithm -- Running the Algorithm -- What Have You Learned in This Chapter? -- Chapter 15: Generating Visualizations From GitHub -- Requirements -- Creating a Workflow -- Trying the Workflow -- Running Unit Tests -- Running Tests -- Visualizing the UML Class Diagram -- Visualizing the Test Coverage -- What Have You Learned in This Chapter? -- Index. |
Record Nr. | UNINA-9910523888103321 |
Bergel Alexandre
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New York, New York : , : Apress Media LLC, , [2022] | ||
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Lo trovi qui: Univ. Federico II | ||
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Data visualization for dummies / / by Mico Yuk, Stephanie Diamond |
Autore | Yuk Mico |
Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Incorporation, , 2014 |
Descrizione fisica | 1 online resource (258 p.) |
Disciplina | 006.7 |
Altri autori (Persone) | DiamondStephanie |
Collana | --For dummies Data visualization for dummies |
Soggetto topico |
Information visualization - Data processing
Data analysis Information visualization Quality control |
Soggetto genere / forma | Electronic books. |
ISBN | 1-118-50293-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents at a Glance; Table of Contents; Introduction; Part I: Getting Started with Data Visualization; Chapter 1: Introducing Data Visualization; Understanding Data Visualization; Recognizing the Traits of Good Data Viz; Embracing the Design Process; Ensuring Excellence in Your Data Visualization; Chapter 2: Exploring Common Types of Data Visualizations; Understanding the Difference between Data Visualization and Infographics; Picking the Right Content Type; Appreciating Interactive Data Visualizations; Observing Visualizations in Different Fields; Using Dashboards; Discovering Infographics
Chapter 3: Knowing What You Must about Big Data Defining Big Data; Seeing How Big Data Changes Business; Avoiding Dying by Tool Choice; Part II: Mastering Basic Data Visualization Concepts; Chapter 4: Using Charts Effectively; Deciding Which Charts to Use and When to Use Them; Dipping Into Less-Common Charts; Chapter 5: Adding a Little Context; Making Text Useful; Exploring Text Analysis; Chapter 6: Paying Attention to Detail; Uncovering How People Digest Data; Presenting Common Visual Patterns; Deciding to Use a Template; Achieving Consistency across Devices Part III: Building Your First Data Visualization Chapter 7: Defining an Easy-to-Follow Storyboard; Business Intelligence Overview; Delving Into Your Story; Building Your First Storyboard; Chapter 8: Developing a Clear Mock-Up; Getting Started with Your Mock-Up; Building Template Layouts; Chapter 9: Adding Effective Visuals to Your Mock-Up; Recognize the Three Traits of an Effective Visual; Focus on Insight, Not Hindsight; Add Visuals to Your Mock-Up; Chapter 10: Adding Functionality and Applying Color; Recognizing the Human Components; Dipping Into Color Chapter 11: Adding Some Finishing Touches Choosing Useful Links; Adding Legal Stuff; Discovering Visual Cues; Adding Location Intelligence; Chapter 12: Exploring User Adoption; Understanding User Adoption; Considering Five UA Measurements; Marketing to Data Viz Users; Part IV: Putting Data Viz Techniques into Practice; Chapter 13: Evaluating Real Data Visualizations; Analyzing Data Visualizations by Category; Evaluating Data Visualizations; Chapter 14: Recognizing Newbie Pitfalls; Going Overboard with Data; Falling into the One-Shoe-Fits-All Trap; Focusing on the Tool Instead of the Story Building Mobile Last Abusing Pie Charts; Using Green for Alerts; Ignoring Basic Statistics; Not Mastering User Engagement; Part V: The Part of Tens; Chapter 15: Top Ten Data Visualization Resources; Edward Tufte; Visually; The Functional Art; Visualizing Data; Chart Porn; The Excel Charts Blog; Flowing Data; Data visualization.ch; GE Data Visualization; #dataviz and #bigdata; Chapter 16: Top Ten Fears of New Data-Viz Creators; Telling the Wrong Story; Creating an Ugly Data Viz; Picking the Wrong Things to Measure; Alienating Other Stakeholders; Misunderstanding the Audience for Your Data Viz Forgetting about Copyrights and Legal Matters |
Record Nr. | UNINA-9910463469503321 |
Yuk Mico
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Hoboken, New Jersey : , : John Wiley & Sons, Incorporation, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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Data visualization for dummies / / by Mico Yuk, Stephanie Diamond |
Autore | Yuk Mico |
Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Incorporation, , 2014 |
Descrizione fisica | 1 online resource (258 p.) |
Disciplina | 006.7 |
Altri autori (Persone) | DiamondStephanie |
Collana | --For dummies Data visualization for dummies |
Soggetto topico |
Information visualization - Data processing
Data analysis Information visualization Quality control |
ISBN | 1-118-50293-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents at a Glance; Table of Contents; Introduction; Part I: Getting Started with Data Visualization; Chapter 1: Introducing Data Visualization; Understanding Data Visualization; Recognizing the Traits of Good Data Viz; Embracing the Design Process; Ensuring Excellence in Your Data Visualization; Chapter 2: Exploring Common Types of Data Visualizations; Understanding the Difference between Data Visualization and Infographics; Picking the Right Content Type; Appreciating Interactive Data Visualizations; Observing Visualizations in Different Fields; Using Dashboards; Discovering Infographics
Chapter 3: Knowing What You Must about Big Data Defining Big Data; Seeing How Big Data Changes Business; Avoiding Dying by Tool Choice; Part II: Mastering Basic Data Visualization Concepts; Chapter 4: Using Charts Effectively; Deciding Which Charts to Use and When to Use Them; Dipping Into Less-Common Charts; Chapter 5: Adding a Little Context; Making Text Useful; Exploring Text Analysis; Chapter 6: Paying Attention to Detail; Uncovering How People Digest Data; Presenting Common Visual Patterns; Deciding to Use a Template; Achieving Consistency across Devices Part III: Building Your First Data Visualization Chapter 7: Defining an Easy-to-Follow Storyboard; Business Intelligence Overview; Delving Into Your Story; Building Your First Storyboard; Chapter 8: Developing a Clear Mock-Up; Getting Started with Your Mock-Up; Building Template Layouts; Chapter 9: Adding Effective Visuals to Your Mock-Up; Recognize the Three Traits of an Effective Visual; Focus on Insight, Not Hindsight; Add Visuals to Your Mock-Up; Chapter 10: Adding Functionality and Applying Color; Recognizing the Human Components; Dipping Into Color Chapter 11: Adding Some Finishing Touches Choosing Useful Links; Adding Legal Stuff; Discovering Visual Cues; Adding Location Intelligence; Chapter 12: Exploring User Adoption; Understanding User Adoption; Considering Five UA Measurements; Marketing to Data Viz Users; Part IV: Putting Data Viz Techniques into Practice; Chapter 13: Evaluating Real Data Visualizations; Analyzing Data Visualizations by Category; Evaluating Data Visualizations; Chapter 14: Recognizing Newbie Pitfalls; Going Overboard with Data; Falling into the One-Shoe-Fits-All Trap; Focusing on the Tool Instead of the Story Building Mobile Last Abusing Pie Charts; Using Green for Alerts; Ignoring Basic Statistics; Not Mastering User Engagement; Part V: The Part of Tens; Chapter 15: Top Ten Data Visualization Resources; Edward Tufte; Visually; The Functional Art; Visualizing Data; Chart Porn; The Excel Charts Blog; Flowing Data; Data visualization.ch; GE Data Visualization; #dataviz and #bigdata; Chapter 16: Top Ten Fears of New Data-Viz Creators; Telling the Wrong Story; Creating an Ugly Data Viz; Picking the Wrong Things to Measure; Alienating Other Stakeholders; Misunderstanding the Audience for Your Data Viz Forgetting about Copyrights and Legal Matters |
Record Nr. | UNINA-9910787630103321 |
Yuk Mico
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Hoboken, New Jersey : , : John Wiley & Sons, Incorporation, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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Data visualization for dummies / / by Mico Yuk, Stephanie Diamond |
Autore | Yuk Mico |
Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Incorporation, , 2014 |
Descrizione fisica | 1 online resource (258 p.) |
Disciplina | 006.7 |
Altri autori (Persone) | DiamondStephanie |
Collana | --For dummies Data visualization for dummies |
Soggetto topico |
Information visualization - Data processing
Data analysis Information visualization Quality control |
ISBN | 1-118-50293-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents at a Glance; Table of Contents; Introduction; Part I: Getting Started with Data Visualization; Chapter 1: Introducing Data Visualization; Understanding Data Visualization; Recognizing the Traits of Good Data Viz; Embracing the Design Process; Ensuring Excellence in Your Data Visualization; Chapter 2: Exploring Common Types of Data Visualizations; Understanding the Difference between Data Visualization and Infographics; Picking the Right Content Type; Appreciating Interactive Data Visualizations; Observing Visualizations in Different Fields; Using Dashboards; Discovering Infographics
Chapter 3: Knowing What You Must about Big Data Defining Big Data; Seeing How Big Data Changes Business; Avoiding Dying by Tool Choice; Part II: Mastering Basic Data Visualization Concepts; Chapter 4: Using Charts Effectively; Deciding Which Charts to Use and When to Use Them; Dipping Into Less-Common Charts; Chapter 5: Adding a Little Context; Making Text Useful; Exploring Text Analysis; Chapter 6: Paying Attention to Detail; Uncovering How People Digest Data; Presenting Common Visual Patterns; Deciding to Use a Template; Achieving Consistency across Devices Part III: Building Your First Data Visualization Chapter 7: Defining an Easy-to-Follow Storyboard; Business Intelligence Overview; Delving Into Your Story; Building Your First Storyboard; Chapter 8: Developing a Clear Mock-Up; Getting Started with Your Mock-Up; Building Template Layouts; Chapter 9: Adding Effective Visuals to Your Mock-Up; Recognize the Three Traits of an Effective Visual; Focus on Insight, Not Hindsight; Add Visuals to Your Mock-Up; Chapter 10: Adding Functionality and Applying Color; Recognizing the Human Components; Dipping Into Color Chapter 11: Adding Some Finishing Touches Choosing Useful Links; Adding Legal Stuff; Discovering Visual Cues; Adding Location Intelligence; Chapter 12: Exploring User Adoption; Understanding User Adoption; Considering Five UA Measurements; Marketing to Data Viz Users; Part IV: Putting Data Viz Techniques into Practice; Chapter 13: Evaluating Real Data Visualizations; Analyzing Data Visualizations by Category; Evaluating Data Visualizations; Chapter 14: Recognizing Newbie Pitfalls; Going Overboard with Data; Falling into the One-Shoe-Fits-All Trap; Focusing on the Tool Instead of the Story Building Mobile Last Abusing Pie Charts; Using Green for Alerts; Ignoring Basic Statistics; Not Mastering User Engagement; Part V: The Part of Tens; Chapter 15: Top Ten Data Visualization Resources; Edward Tufte; Visually; The Functional Art; Visualizing Data; Chart Porn; The Excel Charts Blog; Flowing Data; Data visualization.ch; GE Data Visualization; #dataviz and #bigdata; Chapter 16: Top Ten Fears of New Data-Viz Creators; Telling the Wrong Story; Creating an Ugly Data Viz; Picking the Wrong Things to Measure; Alienating Other Stakeholders; Misunderstanding the Audience for Your Data Viz Forgetting about Copyrights and Legal Matters |
Record Nr. | UNINA-9910816467103321 |
Yuk Mico
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Hoboken, New Jersey : , : John Wiley & Sons, Incorporation, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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Data visualization with JavaScript / / Stephen A. Thomas |
Autore | Thomas Stephen A. <1962-> |
Edizione | [1st edition] |
Pubbl/distr/stampa | San Francisco, California : , : No Starch Press, , 2015 |
Descrizione fisica | 1 online resource (381 p.) |
Disciplina | 005.2/762 |
Soggetto topico |
Information visualization - Data processing
JavaScript (Computer program language) |
Soggetto genere / forma | Electronic books. |
ISBN |
1-4571-8986-0
1-59327-676-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
About the Author; Brief Contents; Contents in Detail; Acknowledgments; Introduction; The Book's Philosophy; The Book's Contents; Source Code for Examples; Chapter 1: Graphing Data; Creating a Basic Bar Chart; Step 1: Include the Required JavaScript; Step 2: Set Aside a Element to Hold the Chart; Step 3: Define the Data; Step 4: Draw the Chart; Step 5: Fix the Vertical Axis; Step 6: Fix the Horizontal Axis; Step 7: Adjust the Styling; Step 8: Vary the Bar Color; Step 9: Work Around flotr2 "Bugs"; Plotting Continuous Data with a Line Chart; Step 1: Define the Data
Step 2: Graph the CO2 DataStep 3: Add the Temperature Data; Step 4: Improve the Chart's Readability; Step 5: Clarify the Temperature Measurements; Step 6: Label the Chart; Step 7: Work Around flotr2 "Bugs"; Emphasizing Fractions Using a Pie Chart; Step 1: Define the Data; Step 2: Draw the Chart; Step 3: Label the Values; Step 4: Work Around flotr2 "Bugs"; Plotting X/Y Data with a Scatter Chart; Step 1: Define the Data; Step 2: Format the Data; Step 3: Plot the Data; Step 4: Adjust the Chart's Axes; Step 5: Label the Data; Step 6: Clarify the X-Axis; Step 7: Answer Users' Questions Step 8: Work Around flotr2 "Bugs"Adding Magnitudes to X/Y Data with a Bubble Chart; Step 1: Define the Data; Step 2: Create a Background for the Chart; Step 3: Plot the Data; Step 4: Add the Background; Step 5: Color the Bubbles; Step 6: Adjust the Legend Styles; Step 7: Work Around flotr2 "Bugs"; Displaying Multidimensional Data with a Radar Chart; Step 1: Define the Data; Step 2: Create the Chart; Step 3: Work Around flotr2 "Bugs"; Summing Up; Chapter 2: Making Charts Interactive; Selecting Chart Content; Step 1: Include the Required JavaScript Libraries Step 2: Set Aside a Element to Hold the ChartStep 3: Prepare the Data; Step 4: Draw the Chart; Step 5: Add the Controls; Step 6: Define the Data Structure for the Interaction; Step 7: Determine Chart Data Based on the Interaction State; Step 8: Add the Controls Using JavaScript; Step 9: Respond to the Interaction Controls; Zooming In on Charts; Step 1: Prepare the Page; Step 2: Draw the Chart; Step 3: Prepare the Data to Support Interaction; Step 4: Prepare to Accept Interaction Events; Step 5: Enable the Interaction; Tracking Data Values Step 1: Set Aside a Element to Hold the ChartsStep 2: Prepare the Data; Step 3: Draw the Charts; Step 4: Implement the Interaction; Retrieving Data Using AJAX; Step 1: Understand the Source Data; Step 2: Get the First Level of Data via AJAX; Step 3: Process the First Level of Data; Step 4: Get the Real Data; Step 5: Process the Data; Step 6: Create the Chart; Summing Up; Chapter 3: Integrating Charts on a Page; Creating a Classic Sparkline; Step 1: Include the Required JavaScript Libraries; Step 2: Create the HTML Markup for the Sparkline; Step 3: Draw the Sparkline Step 4: Adjust the Chart Style |
Record Nr. | UNINA-9910460423003321 |
Thomas Stephen A. <1962->
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San Francisco, California : , : No Starch Press, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Data visualization with JavaScript / / Stephen A. Thomas |
Autore | Thomas Stephen A. <1962-> |
Edizione | [1st edition] |
Pubbl/distr/stampa | San Francisco, California : , : No Starch Press, , 2015 |
Descrizione fisica | 1 online resource (381 p.) |
Disciplina | 005.2/762 |
Soggetto topico |
Information visualization - Data processing
JavaScript (Computer program language) |
ISBN |
1-4571-8986-0
1-59327-676-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
About the Author; Brief Contents; Contents in Detail; Acknowledgments; Introduction; The Book's Philosophy; The Book's Contents; Source Code for Examples; Chapter 1: Graphing Data; Creating a Basic Bar Chart; Step 1: Include the Required JavaScript; Step 2: Set Aside a Element to Hold the Chart; Step 3: Define the Data; Step 4: Draw the Chart; Step 5: Fix the Vertical Axis; Step 6: Fix the Horizontal Axis; Step 7: Adjust the Styling; Step 8: Vary the Bar Color; Step 9: Work Around flotr2 "Bugs"; Plotting Continuous Data with a Line Chart; Step 1: Define the Data
Step 2: Graph the CO2 DataStep 3: Add the Temperature Data; Step 4: Improve the Chart's Readability; Step 5: Clarify the Temperature Measurements; Step 6: Label the Chart; Step 7: Work Around flotr2 "Bugs"; Emphasizing Fractions Using a Pie Chart; Step 1: Define the Data; Step 2: Draw the Chart; Step 3: Label the Values; Step 4: Work Around flotr2 "Bugs"; Plotting X/Y Data with a Scatter Chart; Step 1: Define the Data; Step 2: Format the Data; Step 3: Plot the Data; Step 4: Adjust the Chart's Axes; Step 5: Label the Data; Step 6: Clarify the X-Axis; Step 7: Answer Users' Questions Step 8: Work Around flotr2 "Bugs"Adding Magnitudes to X/Y Data with a Bubble Chart; Step 1: Define the Data; Step 2: Create a Background for the Chart; Step 3: Plot the Data; Step 4: Add the Background; Step 5: Color the Bubbles; Step 6: Adjust the Legend Styles; Step 7: Work Around flotr2 "Bugs"; Displaying Multidimensional Data with a Radar Chart; Step 1: Define the Data; Step 2: Create the Chart; Step 3: Work Around flotr2 "Bugs"; Summing Up; Chapter 2: Making Charts Interactive; Selecting Chart Content; Step 1: Include the Required JavaScript Libraries Step 2: Set Aside a Element to Hold the ChartStep 3: Prepare the Data; Step 4: Draw the Chart; Step 5: Add the Controls; Step 6: Define the Data Structure for the Interaction; Step 7: Determine Chart Data Based on the Interaction State; Step 8: Add the Controls Using JavaScript; Step 9: Respond to the Interaction Controls; Zooming In on Charts; Step 1: Prepare the Page; Step 2: Draw the Chart; Step 3: Prepare the Data to Support Interaction; Step 4: Prepare to Accept Interaction Events; Step 5: Enable the Interaction; Tracking Data Values Step 1: Set Aside a Element to Hold the ChartsStep 2: Prepare the Data; Step 3: Draw the Charts; Step 4: Implement the Interaction; Retrieving Data Using AJAX; Step 1: Understand the Source Data; Step 2: Get the First Level of Data via AJAX; Step 3: Process the First Level of Data; Step 4: Get the Real Data; Step 5: Process the Data; Step 6: Create the Chart; Summing Up; Chapter 3: Integrating Charts on a Page; Creating a Classic Sparkline; Step 1: Include the Required JavaScript Libraries; Step 2: Create the HTML Markup for the Sparkline; Step 3: Draw the Sparkline Step 4: Adjust the Chart Style |
Record Nr. | UNINA-9910797289203321 |
Thomas Stephen A. <1962->
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San Francisco, California : , : No Starch Press, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Data visualization with JavaScript / / Stephen A. Thomas |
Autore | Thomas Stephen A. <1962-> |
Edizione | [1st edition] |
Pubbl/distr/stampa | San Francisco, California : , : No Starch Press, , 2015 |
Descrizione fisica | 1 online resource (381 p.) |
Disciplina | 005.2/762 |
Soggetto topico |
Information visualization - Data processing
JavaScript (Computer program language) |
ISBN |
1-4571-8986-0
1-59327-676-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
About the Author; Brief Contents; Contents in Detail; Acknowledgments; Introduction; The Book's Philosophy; The Book's Contents; Source Code for Examples; Chapter 1: Graphing Data; Creating a Basic Bar Chart; Step 1: Include the Required JavaScript; Step 2: Set Aside a Element to Hold the Chart; Step 3: Define the Data; Step 4: Draw the Chart; Step 5: Fix the Vertical Axis; Step 6: Fix the Horizontal Axis; Step 7: Adjust the Styling; Step 8: Vary the Bar Color; Step 9: Work Around flotr2 "Bugs"; Plotting Continuous Data with a Line Chart; Step 1: Define the Data
Step 2: Graph the CO2 DataStep 3: Add the Temperature Data; Step 4: Improve the Chart's Readability; Step 5: Clarify the Temperature Measurements; Step 6: Label the Chart; Step 7: Work Around flotr2 "Bugs"; Emphasizing Fractions Using a Pie Chart; Step 1: Define the Data; Step 2: Draw the Chart; Step 3: Label the Values; Step 4: Work Around flotr2 "Bugs"; Plotting X/Y Data with a Scatter Chart; Step 1: Define the Data; Step 2: Format the Data; Step 3: Plot the Data; Step 4: Adjust the Chart's Axes; Step 5: Label the Data; Step 6: Clarify the X-Axis; Step 7: Answer Users' Questions Step 8: Work Around flotr2 "Bugs"Adding Magnitudes to X/Y Data with a Bubble Chart; Step 1: Define the Data; Step 2: Create a Background for the Chart; Step 3: Plot the Data; Step 4: Add the Background; Step 5: Color the Bubbles; Step 6: Adjust the Legend Styles; Step 7: Work Around flotr2 "Bugs"; Displaying Multidimensional Data with a Radar Chart; Step 1: Define the Data; Step 2: Create the Chart; Step 3: Work Around flotr2 "Bugs"; Summing Up; Chapter 2: Making Charts Interactive; Selecting Chart Content; Step 1: Include the Required JavaScript Libraries Step 2: Set Aside a Element to Hold the ChartStep 3: Prepare the Data; Step 4: Draw the Chart; Step 5: Add the Controls; Step 6: Define the Data Structure for the Interaction; Step 7: Determine Chart Data Based on the Interaction State; Step 8: Add the Controls Using JavaScript; Step 9: Respond to the Interaction Controls; Zooming In on Charts; Step 1: Prepare the Page; Step 2: Draw the Chart; Step 3: Prepare the Data to Support Interaction; Step 4: Prepare to Accept Interaction Events; Step 5: Enable the Interaction; Tracking Data Values Step 1: Set Aside a Element to Hold the ChartsStep 2: Prepare the Data; Step 3: Draw the Charts; Step 4: Implement the Interaction; Retrieving Data Using AJAX; Step 1: Understand the Source Data; Step 2: Get the First Level of Data via AJAX; Step 3: Process the First Level of Data; Step 4: Get the Real Data; Step 5: Process the Data; Step 6: Create the Chart; Summing Up; Chapter 3: Integrating Charts on a Page; Creating a Classic Sparkline; Step 1: Include the Required JavaScript Libraries; Step 2: Create the HTML Markup for the Sparkline; Step 3: Draw the Sparkline Step 4: Adjust the Chart Style |
Record Nr. | UNINA-9910813627103321 |
Thomas Stephen A. <1962->
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San Francisco, California : , : No Starch Press, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Information visualization : perception for design / / Colin Ware |
Autore | Ware Colin |
Edizione | [Second edition.] |
Pubbl/distr/stampa | Amsterdam, [Netherlands] : , : Morgan Kaufmann Publishers, , 2004 |
Descrizione fisica | 1 online resource (513 pages) : illustrations |
Disciplina | 152.14 |
Collana | Morgan Kaufmann Series in Interactive Technologies |
Soggetto topico |
Information visualization - Data processing
Quality control Engineering inspection |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-01011-1
0-08-047849-2 9786611010119 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910450418703321 |
Ware Colin
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Amsterdam, [Netherlands] : , : Morgan Kaufmann Publishers, , 2004 | ||
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Lo trovi qui: Univ. Federico II | ||
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