Data Visualization With d3 js Mold Your Data into Beautiful Visualizations With D3 js 1st Edition by Swizec Teller ISBN 1782160000 9781782160007

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ISBN 10: 1782160000 
ISBN 13: 9781782160007
Author: Swizec Teller

Data visualization using d3.jsD3.js is a library of open source data visualization made of JavaScript, the language most popular on the Web. This book explains the basic concepts of D3.js through simple examples, and advanced techniques for creating spectacular data visualizations, from building an environment to use D3.js to anyone who knows JavaScript. I will guide you to the world kindly. This book will be a great guide to anybody who is interested in data visualization and knows JavaScript at all.

Data Visualization With d3 js Mold Your Data into Beautiful Visualizations With D3 js 1st Table of contents:

1. Introduction to Data Visualization and D3.js

• 1.1 The Importance of Data Visualization
• 1.2 Overview of D3.js
• 1.3 Installing and Setting Up D3.js
• 1.4 The Role of HTML, CSS, and SVG in D3.js Visualizations
• 1.5 How to Approach Data Visualization with D3.js

2. Getting Started with D3.js

• 2.1 Understanding the D3.js API
• 2.2 Selecting DOM Elements with D3.js
• 2.3 Creating Your First Visualization: A Simple Bar Chart
• 2.4 Working with Data Formats (CSV, JSON, etc.)
• 2.5 Binding Data to DOM Elements

3. The Basics of SVG and HTML5

• 3.1 Introduction to Scalable Vector Graphics (SVG)
• 3.2 Basic Shapes in SVG: Rectangles, Circles, and Paths
• 3.3 Using HTML5 Canvas with D3.js
• 3.4 Coordinate Systems in SVG and Canvas
• 3.5 Styling SVG Elements with CSS

4. Advanced Visualizations with D3.js

• 4.1 Line Charts and Area Charts
• 4.2 Pie Charts and Donut Charts
• 4.3 Scatter Plots and Bubble Charts
• 4.4 Histograms and Box Plots
• 4.5 Creating Multi-Layered Visualizations

5. Working with Axes, Scales, and Transitions

• 5.1 Understanding Scales in D3.js
• 5.2 Setting up Axes for Your Visualizations
• 5.3 Adding Transitions for Smooth Animations
• 5.4 Tooltips and Dynamic Interactivity
• 5.5 Customizing Axes and Gridlines

6. Data-Driven Design: Interactivity and User Control

• 6.1 Adding Interactivity with D3.js
• 6.2 Filtering Data and Updating Visualizations
• 6.3 Creating Dynamic Dashboards
• 6.4 Zooming and Panning in Visualizations
• 6.5 Handling User Input with Forms and Controls

7. Mapping and Geospatial Data

• 7.1 Visualizing Geospatial Data with D3.js
• 7.2 Working with GeoJSON and TopoJSON
• 7.3 Creating Choropleth Maps
• 7.4 Plotting Points on Maps (Lat/Long Coordinates)
• 7.5 Interactive Maps with D3.js

8. Advanced Topics: Force Layouts and Network Graphs

• 8.1 Introduction to Force-Directed Graphs
• 8.2 Creating Network Visualizations
• 8.3 Customizing Node and Link Styles
• 8.4 D3.js and Social Network Analysis
• 8.5 Interactive and Animated Network Graphs

9. Real-Time Data Visualization

• 9.1 Visualizing Streaming Data
• 9.2 Connecting D3.js to Web APIs
• 9.3 Creating Real-Time Dashboards with D3.js
• 9.4 Handling WebSocket Data with D3.js
• 9.5 Dynamic Updates in Visualizations

10. Data Visualization Best Practices

• 10.1 Choosing the Right Type of Visualization
• 10.2 Color Theory and Visual Hierarchy
• 10.3 Accessibility in Data Visualizations
• 10.4 Optimizing Performance for Large Datasets
• 10.5 Design Principles for Effective Storytelling

11. Deploying D3.js Visualizations

• 11.1 Exporting Visualizations to Static Images
• 11.2 Deploying Visualizations on the Web
• 11.3 Using D3.js with Web Frameworks (e.g., React, Angular)
• 11.4 Embedding D3.js in Websites and Blogs
• 11.5 Sharing Interactive Visualizations on the Web

12. Case Studies and Real-World Applications

• 12.1 Data Visualization in Business Intelligence
• 12.2 Scientific and Medical Data Visualizations
• 12.3 Political and Social Data Visualizations
• 12.4 D3.js in Journalism and News Media
• 12.5 Visualizing Complex Datasets in the Real World

13. Troubleshooting and Debugging D3.js Visualizations

• 13.1 Common Errors in D3.js
• 13.2 Debugging D3.js Code
• 13.3 Performance Optimization Tips
• 13.4 Using Developer Tools to Test and Debug Visualizations

14. Conclusion: Mastering Data Visualization with D3.js

• 14.1 Recap of Key Learnings
• 14.2 Next Steps in Data Visualization
• 14.3 Resources for Continued Learning
• 14.4 Future Trends in Data Visualization

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