Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Javascript and jQuery for data analysis and visualization / / Jon J. Raasch [and three others]
| Javascript and jQuery for data analysis and visualization / / Jon J. Raasch [and three others] |
| Autore | Raasch Jon J. |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : John Wiley and Sons, , [2015] |
| Descrizione fisica | 1 online resource (478 p.) |
| Disciplina | 005.133 |
| Soggetto topico |
JavaScript (Computer program language)
HTML (Document markup language) Scripting languages (Computer science) Computer programming |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-20938-2
1-118-84721-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Introduction; Part I: The Beauty of Numbers Made Visible; Chapter 1 The World of Data Visualization; Bringing Numbers to Life; Acquiring the Data; Visualizing the Data; Simultaneous Acquisition and Visualization; Applications of Data Visualization; Uses in the Public Sector; Business-to-Business and Intrabusiness Uses; Business-to-Consumer Uses; Web Professionals: In the Thick of It; Control of Presentation; What Tech Brings to the Table; Faster and Better JavaScript Processing; Rise of HTML5; Lowering the Implementation Bar; Summary
Chapter 2 Working with the Essentials of AnalysisKey Analytic Concepts; Mean Versus Median; Standard Deviation; Working with Sampled Data; Standard Deviation Variation; Per Capita Calculations; Margin of Error; Detecting Patterns with Data Mining; Projecting Future Trends; Summary; Chapter 3 Building a Visualization Foundation; Exploring the Visual Data Spectrum; Charting Primitives; Exploring Advanced Visualizations; Candlestick Chart; Bubble Chart; Surface Charts; Map Charts; Infographics; Making Use of the HTML5 Canvas; Integrating SVG; Summary Part II: Working with JavaScript for AnalysisChapter 4 Integrating Existing Data; Reading Data from Standard Text Files; Working Asynchronously; Reading CSV Files; Incorporating XML Data; Understanding the XML Format; Getting XML Data; Styling with XSLT; Displaying JSON Content; Understanding JSON Syntax; Reading JSON Data; Asynchronous JSON; Summary; Chapter 5 Acquiring Data Interactively; Using HTML5 Form Controls; Introducing HTML5 Input Types; Form Widgets and Data Formatting; Maximizing Mobile Forms; Using Contextual Keyboards; Styling Mobile Forms for Usability; Form Widgets for Mobile SummaryChapter 6 Validating Your Data; Server-Side Versus Client-Side Validation; Native HTML5 Validation; Native Versus JavaScript Validation; Getting Started with HTML5 Validation; HTML5 Validation for Numbers; Required Fields and Max Length; Custom HTML5 Validation Rules; Custom HTML5 Validation Messages; h5Validate Polyfill; jQuery Validation Engine; Getting Started with jQuery Validation Engine; Validators; Error Messages; Summary; Chapter 7 Examining and Sorting Data Tables; Outputting Basic Table Data; Building a Table; Using Semantic Table Markup; Labeling Your Table Configuring the ColumnsAssuring Maximum Readability; Styling Your Table; Increasing Readability; Adding Dynamic Highlighting; Including Computations; Using JavaScript for Calculations; Populating the Table; Using the DataTables Library; Making Pretty Tables with DataTables; Sorting with DataTables; Using Calculated Columns with DataTables; Relating a Data Table to a Chart; Mashing Visualizations Together; Summary; Chapter 8 Statistical Analysis on the Client Side; Statistical Analysis with jStat; Getting Started with jStat; Stat 101; Rendering Probability Distributions with Flot Getting Started with Flot |
| Record Nr. | UNINA-9910140505603321 |
Raasch Jon J.
|
||
| Indianapolis, Indiana : , : John Wiley and Sons, , [2015] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Javascript and jQuery for data analysis and visualization / / Jon J. Raasch [and three others]
| Javascript and jQuery for data analysis and visualization / / Jon J. Raasch [and three others] |
| Autore | Raasch Jon J. |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : John Wiley and Sons, , [2015] |
| Descrizione fisica | 1 online resource (478 p.) |
| Disciplina | 005.133 |
| Soggetto topico |
JavaScript (Computer program language)
HTML (Document markup language) Scripting languages (Computer science) Computer programming |
| ISBN |
1-119-20938-2
1-118-84721-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Introduction; Part I: The Beauty of Numbers Made Visible; Chapter 1 The World of Data Visualization; Bringing Numbers to Life; Acquiring the Data; Visualizing the Data; Simultaneous Acquisition and Visualization; Applications of Data Visualization; Uses in the Public Sector; Business-to-Business and Intrabusiness Uses; Business-to-Consumer Uses; Web Professionals: In the Thick of It; Control of Presentation; What Tech Brings to the Table; Faster and Better JavaScript Processing; Rise of HTML5; Lowering the Implementation Bar; Summary
Chapter 2 Working with the Essentials of AnalysisKey Analytic Concepts; Mean Versus Median; Standard Deviation; Working with Sampled Data; Standard Deviation Variation; Per Capita Calculations; Margin of Error; Detecting Patterns with Data Mining; Projecting Future Trends; Summary; Chapter 3 Building a Visualization Foundation; Exploring the Visual Data Spectrum; Charting Primitives; Exploring Advanced Visualizations; Candlestick Chart; Bubble Chart; Surface Charts; Map Charts; Infographics; Making Use of the HTML5 Canvas; Integrating SVG; Summary Part II: Working with JavaScript for AnalysisChapter 4 Integrating Existing Data; Reading Data from Standard Text Files; Working Asynchronously; Reading CSV Files; Incorporating XML Data; Understanding the XML Format; Getting XML Data; Styling with XSLT; Displaying JSON Content; Understanding JSON Syntax; Reading JSON Data; Asynchronous JSON; Summary; Chapter 5 Acquiring Data Interactively; Using HTML5 Form Controls; Introducing HTML5 Input Types; Form Widgets and Data Formatting; Maximizing Mobile Forms; Using Contextual Keyboards; Styling Mobile Forms for Usability; Form Widgets for Mobile SummaryChapter 6 Validating Your Data; Server-Side Versus Client-Side Validation; Native HTML5 Validation; Native Versus JavaScript Validation; Getting Started with HTML5 Validation; HTML5 Validation for Numbers; Required Fields and Max Length; Custom HTML5 Validation Rules; Custom HTML5 Validation Messages; h5Validate Polyfill; jQuery Validation Engine; Getting Started with jQuery Validation Engine; Validators; Error Messages; Summary; Chapter 7 Examining and Sorting Data Tables; Outputting Basic Table Data; Building a Table; Using Semantic Table Markup; Labeling Your Table Configuring the ColumnsAssuring Maximum Readability; Styling Your Table; Increasing Readability; Adding Dynamic Highlighting; Including Computations; Using JavaScript for Calculations; Populating the Table; Using the DataTables Library; Making Pretty Tables with DataTables; Sorting with DataTables; Using Calculated Columns with DataTables; Relating a Data Table to a Chart; Mashing Visualizations Together; Summary; Chapter 8 Statistical Analysis on the Client Side; Statistical Analysis with jStat; Getting Started with jStat; Stat 101; Rendering Probability Distributions with Flot Getting Started with Flot |
| Record Nr. | UNINA-9910830842603321 |
|
Raasch Jon J.
|
||
| Indianapolis, Indiana : , : John Wiley and Sons, , [2015] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||