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Data Visualization with D3 4.x Cookbook : Visualization Strategies for Tackling Dirty Data

Bibliographic Details
Title: Data Visualization with D3 4.x Cookbook : Visualization Strategies for Tackling Dirty Data
Description: Discover over 65 recipes to help you create breathtaking data visualizations using the latest features of D3Key FeaturesLearn about D3 4.0 from the inside out and master its new featuresUtilize D3 packages to generate graphs, manipulate data, and create beautiful presentationsSolve real-world visualization problems with the help of practical recipesBook DescriptionMaster D3.js and create amazing visualizations with the Data Visualization with D3 4.x Cookbook. Written by professional data engineer Nick Zhu, this D3.js cookbook features over 65 recipes.? Solve real-world visualization problems using D3.js practical recipes? Understand D3 fundamentals? Includes illustrations, ready-to-go code samples and pre-built chart recipesWhat you will learnWith Nick?s expertise, discover how to create data-driven dynamic visualizations which take advantage of JavaScript?s latest capabilities. This cookbook helps you to fully understand D3.js fundamentals and advanced techniques, so that you can make dynamic and interactive charts and graphs.Who this book is forWho is this book for? úÿÿDevelopers and analysts familiar with HTML, CSS and JavaScript who want to get the most out of D3.js? Great as a quick-reference guide for experienced data visualization developers
Authors: Nick Zhu
Resource Type: eBook.
Subjects: Information visualization--Data processing, Information visualization
Categories: COMPUTERS / Data Science / Data Visualization, COMPUTERS / Languages / JavaScript, COMPUTERS / Internet / Web Programming
Database: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 1481580
RelevancyScore: 931
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 930.90771484375
IllustrationInfo
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  Data: Data Visualization with D3 4.x Cookbook : Visualization Strategies for Tackling Dirty Data
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  Data: Discover over 65 recipes to help you create breathtaking data visualizations using the latest features of D3Key FeaturesLearn about D3 4.0 from the inside out and master its new featuresUtilize D3 packages to generate graphs, manipulate data, and create beautiful presentationsSolve real-world visualization problems with the help of practical recipesBook DescriptionMaster D3.js and create amazing visualizations with the Data Visualization with D3 4.x Cookbook. Written by professional data engineer Nick Zhu, this D3.js cookbook features over 65 recipes.? Solve real-world visualization problems using D3.js practical recipes? Understand D3 fundamentals? Includes illustrations, ready-to-go code samples and pre-built chart recipesWhat you will learnWith Nick?s expertise, discover how to create data-driven dynamic visualizations which take advantage of JavaScript?s latest capabilities. This cookbook helps you to fully understand D3.js fundamentals and advanced techniques, so that you can make dynamic and interactive charts and graphs.Who this book is forWho is this book for? úÿÿDevelopers and analysts familiar with HTML, CSS and JavaScript who want to get the most out of D3.js? Great as a quick-reference guide for experienced data visualization developers
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    Classifications:
      – Code: 001.4226
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Information visualization--Data processing
        Type: general
      – SubjectFull: Information visualization
        Type: general
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      – TitleFull: Data Visualization with D3 4.x Cookbook : Visualization Strategies for Tackling Dirty Data
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            NameFull: Nick Zhu
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            – D: 01
              M: 01
              Type: published
              Y: 2017
            – D: 21
              M: 11
              Type: profile
              Y: 2019
          Identifiers:
            – Type: isbn-print
              Value: 9781786468253
            – Type: isbn-electronic
              Value: 9781786469960
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