D3.js in Action: Build 17 D3.js Data Visualization Projects from Udemy

What's inside

Syllabus

Be Familiar with D3.js (Introduction to D3.js)

What is D3.js?

General Instructions to Follow

What Software You Need?

Primer on Technology Fundamentals (D3.js Prerequisites)

CSS Selectors - Part 1

Source Code: CSS Selectors - Part 1

CSS Selectors - Part 2

Source Code: CSS Selectors - Part 2

SVG Basics - Part 1

Source Code: SVG Basics - Part 1

SVG Basics - Part 2

Source Code: SVG Basics - Part 2

SVG Basics - Part 3

Source Code: SVG Basics - Part 3

Be Ready to Start (Basics of D3.js)

Set Up D3.js Development Environment

Source Code: Set Up D3.js Development Environment

Select the Required Elements - Part 1

Source Code: Select the Required Elements - Part 1

Select the Required Elements - Part 2

Source Code: Select the Required Elements - Part 2

Style the Selected Elements

Source Code: Style the Selected Elements

Add Class to the Selected Elements

Source Code: Add Class to the Selected Elements

Set Attributes to the Selected Elements

Source Code: Set Attributes to the Selected Elements

Set Content for the Selected Elements

Source Code: Set Content for the Selected Elements

Add New Elements

Source Code: Add New Elements

Hands-On: Create SVG on the Fly

Source Code: Hands-On - Create SVG on the Fly

D3.js Data Joins (The Core of D3.js)

Join an Array of Data with Selected Elements

Source Code: Join an Array of Data with Selected Elements

Join an Array of Objects with Selected Elements

Source Code: Join an Array of Objects with Selected Elements

Introduction to Data Joins: The Core of D3.js

Enter, Update and Exit Selections in Version 3

Source Code: Enter, Update and Exit Selections in Version 3

Enter, Update and Exit Selections in Version 5

Source Code: Enter, Update and Exit Selections in Version 5

The Real Magic of D3

Source Code: The Real Magic of D3

Project 1: Horizontal Bar Chart

Project 2: Vertical Bar Chart

Adjust the Size Up or Down (D3.js Scales)

Introduction to Scales in D3.js

Linear Scales

Source Code : Linear Scales

Avoid Hardcoding with min and max

Source Code : Avoid Hardcoding with min and max

Color Scales

Source Code: Color Scales

Power and Logarithmic Scales

Source Code: Power and Logarithmic Scales

Time Scales: Part 1

Time Scales: Part 2

Source Code: Time Scales

Sequential Scales

Source Code: Sequential Scales

Quantize Scales

Quantile & Threshold Scales

Source Code: Quantize, Quantile & Threshold Scales

Ordinal Scales

Source Code: Ordinal Scales

Have an Axis for Reference (D3.js Axes)

Add X and Y Axis

Source Code: Add X and Y Axis

Style the Axis as You Want - Part 1

Style the Axis as You Want - Part 2 (Update to Part 1)

Source Code: Style the Axis as You Want

Hands-On: Display 4 Axes Based on User Input - Part 1

Hands-On: Display 4 Axes Based on User Input - Part 2

Hands-On: Display 4 Axes Based on User Input - Part 3 (Update Lecture)

Source Code - Hands-On: Display 4 Axes Based on User Input

Project 3: Vertical Bar Chart with Axes - Part 1

Project 3: Vertical Bar Chart with Axes - Part 2 (Update to Part 1)

Project 4: Scatterplot

Draw Different Shapes (D3.js Shapes)

Line Generator - Part 1

Line Generator - Part 2

Source Code: Line Generator

Project 5: Line Chart - Part 1

Project 5: Line Chart - Part 2 (Update to Part 1)

Area Generator

Source Code: Area Generator

Project 6: Area Chart - Part 1

Project 6: Area Chart - Part 2

Stack Generator

Source Code: Stack Generator

Project 7: Stacked Area Chart - Part 1

Project 7: Stacked Area Chart - Part 2

Project 7: Stacked Area Chart - Part 3

Arc Generator - Part 1

Source Code: Arc Generator - Part 1

Arc Generator - Part 2

Source Code: Arc Generator - Part 2

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides hands-on experience with 17 different D3.js projects, which allows learners to immediately apply their knowledge and build a strong portfolio

Uses D3.js V5, which is a widely adopted version of the library, ensuring compatibility with modern web development practices and resources

Explains concepts in a detailed and easily understandable manner, which makes it suitable for individuals with little to no prior experience in D3.js

Covers CSS selectors and SVG basics, which are fundamental technologies for web development and data visualization, providing a solid foundation for using D3.js

Includes projects such as family trees and ancestry charts, which may appeal to learners interested in visualizing complex hierarchical data structures

Focuses on D3.js V5, which means that learners may need to adapt their knowledge when working with newer versions of the library in the future

Reviews summary

Practical d3.js project building

According to learners, this course is a highly practical, project-based approach to learning D3.js. Students appreciate the hands-on nature, where the instructor codes along step-by-step to build 17 diverse data visualization projects. Reviewers frequently mention that the course is effective at building confidence in applying D3.js concepts to real-world scenarios. While some note that a basic understanding of JavaScript is helpful, many found the explanations clear and detailed enough to follow, even as beginners to D3.

Many found the D3.js concepts clearly explained.

"Reviewers often mentioned the instructor's ability to explain complex D3.js concepts in a clear and understandable manner."

"The concepts were explained in detail, making it easy to follow along."

"Even beginners to D3 found the explanations clear and helpful."

"The detailed explanation of D3.js V5 basics was appreciated."

Course helps students feel ready for real projects.

"Many students reported feeling confident to build their own D3.js visualizations after completing the course."

"The practical projects were effective in boosting confidence in applying D3.js."

"The course successfully prepares learners to tackle real-world data visualization tasks."

Learners value the hands-on projects approach.

"The focus on building 17 practical projects is highly praised by students."

"Reviewers found the hands-on approach of coding along with the instructor very effective."

"The course is 100% practical with many projects which helps build confidence."

"Students appreciate learning by doing through the numerous projects included."

Some feel prior JS knowledge is beneficial.

"A few reviewers noted that while D3.js basics are covered, having a solid understanding of JavaScript is beneficial for the course."

"Some learners found the pace challenging without a strong JavaScript background."

"Students with prior JS experience seemed to grasp the concepts more easily."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in D3.js in Action: Build 17 D3.js Data Visualization Projects with these activities:

Review SVG Basics

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Solidify your understanding of SVG, the foundation for creating D3.js visualizations, to better grasp how D3 manipulates the DOM.

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Read documentation on SVG elements and attributes.
Practice creating basic shapes using SVG code.
Experiment with styling SVG elements using CSS.

Read 'Interactive Data Visualization for the Web, 2nd Edition'

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Enhance your understanding of D3.js concepts and techniques by studying a comprehensive guide to interactive data visualization.

View Interactive Data Visualization for the Web: An... on Amazon

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Read the chapters relevant to the course topics.
Try out the code examples provided in the book.
Apply the concepts learned to your own projects.

Recreate D3.js examples from memory

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Reinforce your D3.js knowledge by attempting to recreate visualizations from the course without referring to the original code.

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Select a D3.js example from the course.
Try to recreate the visualization from scratch.
Compare your result with the original code.
Identify and correct any errors or omissions.

Four other activities

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Write a blog post about a D3.js project

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Solidify your understanding of D3.js by explaining a project you've built, detailing the challenges you faced and the solutions you implemented.

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Choose a D3.js project you've worked on.
Describe the project's purpose and functionality.
Explain the D3.js concepts used in the project.
Share your insights and lessons learned.

Create a personal data dashboard

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Apply your D3.js skills by building a dashboard that visualizes your personal data, such as fitness tracking, financial data, or social media activity.

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Choose a data source and collect relevant data.
Design the layout and choose appropriate visualizations.
Implement the dashboard using D3.js.
Add interactive elements to explore the data.

Read 'D3.js Cookbook, Second Edition'

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Expand your D3.js knowledge by exploring a collection of practical recipes for solving common data visualization problems.

View Data Visualization with D3 4.x Cookbook on Amazon

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Browse the cookbook for relevant recipes.
Study the code examples and explanations.
Adapt the recipes to your own projects.

Contribute to a D3.js open source project

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Deepen your understanding of D3.js by contributing to an open-source project, collaborating with other developers, and learning from real-world codebases.

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Find a D3.js open-source project on GitHub.
Explore the project's codebase and documentation.
Identify a bug or feature to work on.
Submit a pull request with your changes.

Career center

Learners who complete D3.js in Action: Build 17 D3.js Data Visualization Projects will develop knowledge and skills that may be useful to these careers:

Data Visualization Engineer

A Data Visualization Engineer is responsible for creating visual representations of data that are easy to understand and interpret. This role involves using tools and techniques to transform raw data into compelling visuals, such as charts, graphs, and interactive dashboards. This course focusing on D3.js, a powerful JavaScript library for manipulating documents based on data, directly helps build the skills needed to excel as a Data Visualization Engineer, especially with its coverage of data-driven document transformations. The numerous hands-on projects, including bar charts, scatterplots, and line charts, provide practical experience in creating various types of visualizations, which are essential for communicating complex data insights effectively. Anyone aspiring to become a Data Visualization Engineer should consider taking this course.

See salaries and explore the career path for Data Visualization Engineer

Information Designer

An Information Designer specializes in presenting complex data and information in a clear, concise, and visually appealing manner. They create infographics, data visualizations, and interactive displays to enhance understanding. Learning D3.js, a JavaScript library for data-driven document manipulation, helps in crafting custom visualizations that effectively communicate complex information. By working through projects such as animated bar charts and interactive family trees, this course significantly enhances the skills of an Information Designer. This role typically requires a master's degree.

See salaries and explore the career path for Information Designer

Data Journalist

A Data Journalist uses data to uncover and tell stories. They combine journalistic skills with data analysis and visualization techniques to create compelling narratives. The training in D3.js, with its comprehensive coverage of data-driven document manipulation and visualization techniques, helps in creating interactive and informative graphics for news articles and online content. The projects included in this D3.js course, such as creating animated charts and family trees, help Data Journalists present complex information in an engaging and easily understandable format. Having someone who is adept at visualization will help to stand out in their field.

See salaries and explore the career path for Data Journalist

Market Research Analyst

A Market Research Analyst studies market conditions, consumer behavior, and competitor activities to advise companies on product development, pricing, and marketing strategies. Presenting research findings through data visualization is a key aspect of this role. This course focusing on D3.js helps Market Research Analysts by enabling them to create custom visualizations, such as bar charts and scatterplots, to effectively communicate market trends and insights. With its practical project-based approach, this course provides the specific skills needed to excel in visually presenting market research data.

See salaries and explore the career path for Market Research Analyst

Business Intelligence Analyst

A Business Intelligence Analyst examines data trends, identifies key performance indicators, and develops reports to inform business decisions. They work closely with stakeholders to understand their data needs and deliver actionable insights. This course helps aspiring Business Intelligence Analysts gain proficiency in data visualization, a core skill for presenting findings and recommendations. By learning D3.js and building projects such as animated bar charts and stacked area charts, the candidate can develop the ability to create compelling visualizations that communicate complex data in a clear and concise manner. The D3.js course, with its detailed coverage of scales and axes, ensures a solid foundation for creating informative and accurate data visualizations for any Business Intelligence Analyst.

See salaries and explore the career path for Business Intelligence Analyst

Data Analyst

A Data Analyst collects, processes, and performs statistical analyses of data. They present their findings in reports, dashboards, and other formats to help organizations make informed decisions. This course helps Data Analysts develop skills that enable them to create custom visualizations using D3.js, enhancing their ability to present complex data insights effectively. Through hands-on projects, learning about chart creation, axes, and scales, the candidate can create interactive dashboards and reports that effectively communicate key findings. The D3.js focus of this course directly addresses the visual communication skills vital for any successful Data Analyst.

See salaries and explore the career path for Data Analyst

Data Scientist

A Data Scientist uses statistical analysis, machine learning, and data visualization techniques to extract insights and solve complex problems. They often work with large datasets and need to communicate their findings effectively. This course helps the Data Scientist by enabling them to leverage D3.js to create custom visualizations that reveal patterns and trends in data. The ability to create visualizations like scatterplots, line charts, and area charts, as taught in this course, helps communicate insights from complex data models to stakeholders. The comprehensive project-based approach of the D3.js training, from basic charts to complex family trees, provides a solid foundation for a Data Scientist looking to enhance their data storytelling capabilities.

See salaries and explore the career path for Data Scientist

User Interface Developer

A User Interface Developer designs and implements the visual elements and interactive components of websites and applications. They collaborate with designers and product managers to create engaging and user-friendly interfaces. This course is particularly relevant for User Interface Developers who want to enhance their skills in data visualization. D3.js, as covered in this course, provides the tools to create dynamic and interactive data displays within user interfaces. The hands-on projects, including creating animated elements and interactive charts, equip UI Developers with the ability to integrate data visualization seamlessly into web applications, improving user experience and comprehension.

See salaries and explore the career path for User Interface Developer

Research Scientist

A Research Scientist conducts experiments, analyzes data, and publishes findings to advance knowledge in a specific field. Visualizing data is crucial for understanding patterns and trends. This course enables Research Scientists to create custom visualizations using D3.js, that reveal insights from their data. Through hands-on projects and detailed coverage of scales, axes, and chart types, this course provides the skills necessary to effectively communicate research findings. The D3.js skills gained are highly valuable for publications and presentations, enhancing the impact of research.

See salaries and explore the career path for Research Scientist

Web Developer

A Web Developer is responsible for building and maintaining websites and web applications. They work with various programming languages, frameworks, and tools to create functional and visually appealing web experiences. This course helps Web Developers integrate data visualization into their projects, allowing them to create more dynamic and informative web applications. By mastering D3.js, as taught in this course, a Web Developer can add interactive charts, graphs, and data displays improving user engagement. The course's hands-on approach, with projects ranging from basic bar charts to complex ancestry charts, allows for immediate application of skills in real-world web development scenarios.

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Front-End Engineer

A Front End Engineer focuses on developing the client-side of web applications, ensuring a seamless user experience. They use HTML, CSS, and JavaScript to create interactive and responsive interfaces. This course may be useful for Front End Engineers looking to enhance their skills in creating data-driven user interfaces. The course gives instruction in D3.js, enabling Front End Engineers to incorporate interactive data visualizations such as animated bar charts, scatterplots, and line charts into their applications. The D3.js course, with its practical project-based approach, can help Front End Engineers differentiate themselves by offering advanced data visualization capabilities.

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UX Designer

A UX Designer focuses on enhancing user satisfaction by improving the usability, accessibility, and desirability of a product. A key aspect of this role is effectively presenting data to users, which this course supports. The ability to create clear and engaging visualizations using D3.js, as covered in this course, helps in designing user interfaces that effectively communicate complex information. The D3.js course, with its hands-on projects, provides insights into how visual elements can be manipulated to enhance understanding and engagement, ultimately improving the overall user experience. This detailed knowledge of data visualization also helps the UX Designer consider requirements and constraints when collaborating with engineers.

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Instructional Designer

An Instructional Designer creates learning materials and experiences, such as online courses and training programs. Data visualization can be a powerful tool for enhancing learning and understanding. This course provides Instructional Designers with the skills to create custom data visualizations using D3.js, making learning content more engaging and effective. The hands-on projects and detailed coverage of chart types, scales, and axes enhance the ability to design visually appealing and informative educational materials.

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Statistician

A Statistician collects, analyzes, and interprets numerical data to identify trends and relationships. They apply statistical methodologies to solve problems in various fields. This course enables Statisticians to enhance their data presentation skills by creating interactive and informative visualizations using D3.js. The ability to create custom charts, graphs, and data displays helps Statisticians communicate complex statistical findings in a clear and engaging manner. With its practical approach and comprehensive coverage of D3.js, this course is a valuable asset for Statisticians seeking to improve their data storytelling abilities.

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Information Architect

An Information Architect designs and organizes the structure of websites and applications, focusing on usability and information findability. They create wireframes, sitemaps, and navigation systems to ensure users can easily find what they need. This course may be useful to Information Architects who deal heavily with data-driven websites. D3.js, with its ability to create custom data visualizations like family trees and interactive charts, offers tools to present complex information in an accessible manner. While an Information Architect might not directly code, the course can enhance their understanding of how data can be visually structured to improve user experience.

See salaries and explore the career path for Information Architect

D3.js in Action

Build 17 D3.js Data Visualization Projects

What's inside

Syllabus

Good to know

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Reviews summary

Practical d3.js project building

Activities

Career center

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