Mastering D3.js :: bring your data to life by creating and deploying complex data visualizations with D3.js /
If you are a software developer working with data visualizations and want to build complex data visualizations, this book is for you. Basic knowledge of D3 framework is expected. With real-world examples, you will learn how to structure your applications to create enterprise-level charts and interac...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Pub.,
2014.
|
| Schriftenreihe: | Community experience distilled.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | If you are a software developer working with data visualizations and want to build complex data visualizations, this book is for you. Basic knowledge of D3 framework is expected. With real-world examples, you will learn how to structure your applications to create enterprise-level charts and interactive dashboards. |
| Beschreibung: | 1 online resource (1 volume) : illustrations |
| ISBN: | 9781783286287 1783286288 178328627X 9781783286270 |
Internformat
MARC
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| 100 | 1 | |a Castillo, Pablo Navarro. | |
| 245 | 1 | 0 | |a Mastering D3.js : |b bring your data to life by creating and deploying complex data visualizations with D3.js / |c Pablo Navarro Castillo. |
| 246 | 3 | 0 | |a Bring your data to life by creating and deploying complex data visualizations with D3.js |
| 260 | |a Birmingham, UK : |b Packt Pub., |c 2014. | ||
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Community experience distilled | |
| 588 | 0 | |a Online resource; title from title page (Safari, viewed September 17, 2014). | |
| 505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Data Visualization; Defining data visualization; Some kinds of data visualizations; Infographics; Exploratory visualizations; Dashboards; Learning about data visualization; Introducing the D3 library; Summary; Chapter 2: Reusable Charts; Creating reusable charts; Creating elements with D3; Binding data; Encapsulating the creation of elements; Creating the svg element; The barcode chart; Accessor methods; Chart initialization; Adding data; Adding the date accessor function | |
| 505 | 8 | |a Updating the datasetFixing the enter and exit transitions; Using the barcode chart; Creating a layout algorithm; The radial layout; Computing the angles; Using the layout; Summary; Chapter 3: Creating Visualizations without SVG; SVG support in the browser market; Visualizations without SVG; Loading and sorting the data; The force layout method; Setting the color and size; Creating a legend; Polyfilling; Feature detection; The canvg example; Using canvas and D3; Creating figures with canvas; Creating shapes; Integrating canvas and D3; Summary; Chapter 4: Creating a Color Picker with D3 | |
| 505 | 8 | |a Creating a slider controlThe drag behavior; Creating the slider; Using the slider; Creating a color picker; The color picker selector; Adding the color picker window; The color picker window; Summary; Chapter 5: Creating User Interface Elements; Highlighting chart elements; Creating tooltips; Using the tooltip; Selecting a range with brushing; Creating the area chart; Adding brushing; The brush listener; Summary; Chapter 6: Interaction between Charts; Learning the basics of Backbone; Events; Models; Collections; Views; Routers; The stock explorer application; Creating the stock charts | |
| 505 | 8 | |a The stock title chartThe stock area chart; Preparing the application structure; The index page; Creating the models and collections; The stock model; The stock collection; The application model; Implementing the views; The title view; The stock selector view; The stock context view; The stock detail view; The application view; Defining the routes; Initializing the application; Summary; Chapter 7: Creating a Charting Package; The development workflow; Writing the code; Creating a release; Semantic Versioning; Creating the package contents; The heat map chart; The matrix layout | |
| 505 | 8 | |a The project setupInstalling the Node modules; Building with Grunt; Concatenating our source files; Minifying the library; Checking our code with JSHint; Testing our package; Registering the sequences of tasks; Managing the frontend dependencies; Using the package in other projects; Summary; Chapter 8: Data-driven Applications; Creating the application; The project setup; Generating a static site with Jekyll; Creating the application components; Creating the models and collections; Creating the views; The application setup; Hosting the visualization with GitHub Pages | |
| 520 | |a If you are a software developer working with data visualizations and want to build complex data visualizations, this book is for you. Basic knowledge of D3 framework is expected. With real-world examples, you will learn how to structure your applications to create enterprise-level charts and interactive dashboards. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Information visualization |x Data processing. | |
| 650 | 0 | |a JavaScript (Computer program language) |0 http://id.loc.gov/authorities/subjects/sh96004880 | |
| 650 | 0 | |a Visual analytics. |0 http://id.loc.gov/authorities/subjects/sh2007004134 | |
| 650 | 6 | |a Visualisation de l'information |x Informatique. | |
| 650 | 6 | |a JavaScript (Langage de programmation) | |
| 650 | 6 | |a Analyse visuelle. | |
| 650 | 7 | |a REFERENCE |x Questions & Answers. |2 bisacsh | |
| 650 | 7 | |a JavaScript (Computer program language) |2 fast | |
| 650 | 7 | |a Visual analytics |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Castillo, Pablo Navarro. |t Mastering D3.js : bring your data to life by creating and deploying complex data visualizations with D3.js. Navarro Castillo, Pablo. |d Birmingham, England : Packt Publishing, ©2014 |h v, 334 pages |k Community experience distilled. |z 9781783286270 |
| 830 | 0 | |a Community experience distilled. |0 http://id.loc.gov/authorities/names/no2011030603 | |
| 856 | 4 | 0 | |l FWS01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=836709 |3 Volltext |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH27086249 | ||
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn891187292 |
|---|---|
| _version_ | 1816882287342518272 |
| adam_text | |
| any_adam_object | |
| author | Castillo, Pablo Navarro |
| author_facet | Castillo, Pablo Navarro |
| author_role | |
| author_sort | Castillo, Pablo Navarro |
| author_variant | p n c pn pnc |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.9.I52 C378 2014 |
| callnumber-search | QA76.9.I52 C378 2014 |
| callnumber-sort | QA 276.9 I52 C378 42014 |
| callnumber-subject | QA - Mathematics |
| collection | ZDB-4-EBA |
| contents | Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Data Visualization; Defining data visualization; Some kinds of data visualizations; Infographics; Exploratory visualizations; Dashboards; Learning about data visualization; Introducing the D3 library; Summary; Chapter 2: Reusable Charts; Creating reusable charts; Creating elements with D3; Binding data; Encapsulating the creation of elements; Creating the svg element; The barcode chart; Accessor methods; Chart initialization; Adding data; Adding the date accessor function Updating the datasetFixing the enter and exit transitions; Using the barcode chart; Creating a layout algorithm; The radial layout; Computing the angles; Using the layout; Summary; Chapter 3: Creating Visualizations without SVG; SVG support in the browser market; Visualizations without SVG; Loading and sorting the data; The force layout method; Setting the color and size; Creating a legend; Polyfilling; Feature detection; The canvg example; Using canvas and D3; Creating figures with canvas; Creating shapes; Integrating canvas and D3; Summary; Chapter 4: Creating a Color Picker with D3 Creating a slider controlThe drag behavior; Creating the slider; Using the slider; Creating a color picker; The color picker selector; Adding the color picker window; The color picker window; Summary; Chapter 5: Creating User Interface Elements; Highlighting chart elements; Creating tooltips; Using the tooltip; Selecting a range with brushing; Creating the area chart; Adding brushing; The brush listener; Summary; Chapter 6: Interaction between Charts; Learning the basics of Backbone; Events; Models; Collections; Views; Routers; The stock explorer application; Creating the stock charts The stock title chartThe stock area chart; Preparing the application structure; The index page; Creating the models and collections; The stock model; The stock collection; The application model; Implementing the views; The title view; The stock selector view; The stock context view; The stock detail view; The application view; Defining the routes; Initializing the application; Summary; Chapter 7: Creating a Charting Package; The development workflow; Writing the code; Creating a release; Semantic Versioning; Creating the package contents; The heat map chart; The matrix layout The project setupInstalling the Node modules; Building with Grunt; Concatenating our source files; Minifying the library; Checking our code with JSHint; Testing our package; Registering the sequences of tasks; Managing the frontend dependencies; Using the package in other projects; Summary; Chapter 8: Data-driven Applications; Creating the application; The project setup; Generating a static site with Jekyll; Creating the application components; Creating the models and collections; Creating the views; The application setup; Hosting the visualization with GitHub Pages |
| ctrlnum | (OCoLC)891187292 |
| dewey-full | 001.4/226028566 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 001 - Knowledge |
| dewey-raw | 001.4/226028566 |
| dewey-search | 001.4/226028566 |
| dewey-sort | 11.4 9226028566 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Allgemeines |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn891187292 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:26:13Z |
| institution | BVB |
| isbn | 9781783286287 1783286288 178328627X 9781783286270 |
| language | English |
| oclc_num | 891187292 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (1 volume) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Packt Pub., |
| record_format | marc |
| series | Community experience distilled. |
| series2 | Community experience distilled |
| spelling | Castillo, Pablo Navarro. Mastering D3.js : bring your data to life by creating and deploying complex data visualizations with D3.js / Pablo Navarro Castillo. Bring your data to life by creating and deploying complex data visualizations with D3.js Birmingham, UK : Packt Pub., 2014. 1 online resource (1 volume) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Community experience distilled Online resource; title from title page (Safari, viewed September 17, 2014). Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Data Visualization; Defining data visualization; Some kinds of data visualizations; Infographics; Exploratory visualizations; Dashboards; Learning about data visualization; Introducing the D3 library; Summary; Chapter 2: Reusable Charts; Creating reusable charts; Creating elements with D3; Binding data; Encapsulating the creation of elements; Creating the svg element; The barcode chart; Accessor methods; Chart initialization; Adding data; Adding the date accessor function Updating the datasetFixing the enter and exit transitions; Using the barcode chart; Creating a layout algorithm; The radial layout; Computing the angles; Using the layout; Summary; Chapter 3: Creating Visualizations without SVG; SVG support in the browser market; Visualizations without SVG; Loading and sorting the data; The force layout method; Setting the color and size; Creating a legend; Polyfilling; Feature detection; The canvg example; Using canvas and D3; Creating figures with canvas; Creating shapes; Integrating canvas and D3; Summary; Chapter 4: Creating a Color Picker with D3 Creating a slider controlThe drag behavior; Creating the slider; Using the slider; Creating a color picker; The color picker selector; Adding the color picker window; The color picker window; Summary; Chapter 5: Creating User Interface Elements; Highlighting chart elements; Creating tooltips; Using the tooltip; Selecting a range with brushing; Creating the area chart; Adding brushing; The brush listener; Summary; Chapter 6: Interaction between Charts; Learning the basics of Backbone; Events; Models; Collections; Views; Routers; The stock explorer application; Creating the stock charts The stock title chartThe stock area chart; Preparing the application structure; The index page; Creating the models and collections; The stock model; The stock collection; The application model; Implementing the views; The title view; The stock selector view; The stock context view; The stock detail view; The application view; Defining the routes; Initializing the application; Summary; Chapter 7: Creating a Charting Package; The development workflow; Writing the code; Creating a release; Semantic Versioning; Creating the package contents; The heat map chart; The matrix layout The project setupInstalling the Node modules; Building with Grunt; Concatenating our source files; Minifying the library; Checking our code with JSHint; Testing our package; Registering the sequences of tasks; Managing the frontend dependencies; Using the package in other projects; Summary; Chapter 8: Data-driven Applications; Creating the application; The project setup; Generating a static site with Jekyll; Creating the application components; Creating the models and collections; Creating the views; The application setup; Hosting the visualization with GitHub Pages If you are a software developer working with data visualizations and want to build complex data visualizations, this book is for you. Basic knowledge of D3 framework is expected. With real-world examples, you will learn how to structure your applications to create enterprise-level charts and interactive dashboards. English. Information visualization Data processing. JavaScript (Computer program language) http://id.loc.gov/authorities/subjects/sh96004880 Visual analytics. http://id.loc.gov/authorities/subjects/sh2007004134 Visualisation de l'information Informatique. JavaScript (Langage de programmation) Analyse visuelle. REFERENCE Questions & Answers. bisacsh JavaScript (Computer program language) fast Visual analytics fast Print version: Castillo, Pablo Navarro. Mastering D3.js : bring your data to life by creating and deploying complex data visualizations with D3.js. Navarro Castillo, Pablo. Birmingham, England : Packt Publishing, ©2014 v, 334 pages Community experience distilled. 9781783286270 Community experience distilled. http://id.loc.gov/authorities/names/no2011030603 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=836709 Volltext |
| spellingShingle | Castillo, Pablo Navarro Mastering D3.js : bring your data to life by creating and deploying complex data visualizations with D3.js / Community experience distilled. Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Data Visualization; Defining data visualization; Some kinds of data visualizations; Infographics; Exploratory visualizations; Dashboards; Learning about data visualization; Introducing the D3 library; Summary; Chapter 2: Reusable Charts; Creating reusable charts; Creating elements with D3; Binding data; Encapsulating the creation of elements; Creating the svg element; The barcode chart; Accessor methods; Chart initialization; Adding data; Adding the date accessor function Updating the datasetFixing the enter and exit transitions; Using the barcode chart; Creating a layout algorithm; The radial layout; Computing the angles; Using the layout; Summary; Chapter 3: Creating Visualizations without SVG; SVG support in the browser market; Visualizations without SVG; Loading and sorting the data; The force layout method; Setting the color and size; Creating a legend; Polyfilling; Feature detection; The canvg example; Using canvas and D3; Creating figures with canvas; Creating shapes; Integrating canvas and D3; Summary; Chapter 4: Creating a Color Picker with D3 Creating a slider controlThe drag behavior; Creating the slider; Using the slider; Creating a color picker; The color picker selector; Adding the color picker window; The color picker window; Summary; Chapter 5: Creating User Interface Elements; Highlighting chart elements; Creating tooltips; Using the tooltip; Selecting a range with brushing; Creating the area chart; Adding brushing; The brush listener; Summary; Chapter 6: Interaction between Charts; Learning the basics of Backbone; Events; Models; Collections; Views; Routers; The stock explorer application; Creating the stock charts The stock title chartThe stock area chart; Preparing the application structure; The index page; Creating the models and collections; The stock model; The stock collection; The application model; Implementing the views; The title view; The stock selector view; The stock context view; The stock detail view; The application view; Defining the routes; Initializing the application; Summary; Chapter 7: Creating a Charting Package; The development workflow; Writing the code; Creating a release; Semantic Versioning; Creating the package contents; The heat map chart; The matrix layout The project setupInstalling the Node modules; Building with Grunt; Concatenating our source files; Minifying the library; Checking our code with JSHint; Testing our package; Registering the sequences of tasks; Managing the frontend dependencies; Using the package in other projects; Summary; Chapter 8: Data-driven Applications; Creating the application; The project setup; Generating a static site with Jekyll; Creating the application components; Creating the models and collections; Creating the views; The application setup; Hosting the visualization with GitHub Pages Information visualization Data processing. JavaScript (Computer program language) http://id.loc.gov/authorities/subjects/sh96004880 Visual analytics. http://id.loc.gov/authorities/subjects/sh2007004134 Visualisation de l'information Informatique. JavaScript (Langage de programmation) Analyse visuelle. REFERENCE Questions & Answers. bisacsh JavaScript (Computer program language) fast Visual analytics fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh96004880 http://id.loc.gov/authorities/subjects/sh2007004134 |
| title | Mastering D3.js : bring your data to life by creating and deploying complex data visualizations with D3.js / |
| title_alt | Bring your data to life by creating and deploying complex data visualizations with D3.js |
| title_auth | Mastering D3.js : bring your data to life by creating and deploying complex data visualizations with D3.js / |
| title_exact_search | Mastering D3.js : bring your data to life by creating and deploying complex data visualizations with D3.js / |
| title_full | Mastering D3.js : bring your data to life by creating and deploying complex data visualizations with D3.js / Pablo Navarro Castillo. |
| title_fullStr | Mastering D3.js : bring your data to life by creating and deploying complex data visualizations with D3.js / Pablo Navarro Castillo. |
| title_full_unstemmed | Mastering D3.js : bring your data to life by creating and deploying complex data visualizations with D3.js / Pablo Navarro Castillo. |
| title_short | Mastering D3.js : |
| title_sort | mastering d3 js bring your data to life by creating and deploying complex data visualizations with d3 js |
| title_sub | bring your data to life by creating and deploying complex data visualizations with D3.js / |
| topic | Information visualization Data processing. JavaScript (Computer program language) http://id.loc.gov/authorities/subjects/sh96004880 Visual analytics. http://id.loc.gov/authorities/subjects/sh2007004134 Visualisation de l'information Informatique. JavaScript (Langage de programmation) Analyse visuelle. REFERENCE Questions & Answers. bisacsh JavaScript (Computer program language) fast Visual analytics fast |
| topic_facet | Information visualization Data processing. JavaScript (Computer program language) Visual analytics. Visualisation de l'information Informatique. JavaScript (Langage de programmation) Analyse visuelle. REFERENCE Questions & Answers. Visual analytics |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=836709 |
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