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Nertil Poci

This course will teach you how to use NVD3 to build reusable charts and chart components for d3.js without taking away the power that d3.js gives you as well as visualize different datasets on your web applications.

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This course will teach you how to use NVD3 to build reusable charts and chart components for d3.js without taking away the power that d3.js gives you as well as visualize different datasets on your web applications.

Almost any application needs to visualize some data. When it comes to data visualization, you need to use a third party library since building data visualization components from scratch is time-consuming and unnecessary. In this course, Build Your First Data Visualization with NVD3, you’ll learn how to leverage the power of d3.js charts through the NVD3 library. First, you'll explore how to build reusable charts and chart components for your application. Next, you'll learn how to install and configure the NVD3 library, then display time series data retrieved from API into charts so that your users can understand how the application is performing. Next, you'll learn how to customize your data, NVD3 charts, and HTML content, and make them interactive. Finally, you’ll learn how to update graph data and customize data update settings for your charts to handle data that changes quickly. By the end of this course, you'll have the knowledge about NVD3 data visualization to design and customize your own NVD3 data charts.

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What's inside

Syllabus

Course Overview
Visualizing Data Using NVD3
Customizing NVD3 Graphs

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Clearly explains the basics of using NVD3 to build reusable charts and chart components for d3.js
Introduces learners to the features and benefits of NVD3 library
Shows how to install and configure the NVD3 library
Provides practical examples of how to display time series from API into charts
Covers customizing data, NVD3 charts, and HTML content
Teaches how to make NVD3 interactive charts

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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 Build Your First Data Visualization with NVD3 with these activities:
Read "Eloquent JavaScript"
Build a solid foundation by diving into the fundamentals of JavaScript to reinforce the concepts covered in this course.
Show steps
  • Read the book from beginning to end
  • Take notes on important concepts and code snippets
  • Complete the exercises and challenges presented in the book
Follow the NVD3 Tutorial on the Official Website
Strengthen your understanding of NVD3 by following the official tutorial, gaining hands-on experience with its features.
Show steps
  • Go through the official NVD3 tutorial
  • Practice building charts using the provided examples
Join a Study Group or Online Forum for NVD3
Engage in discussions and share knowledge with peers to enhance your understanding of NVD3 and clarify concepts through collaboration.
Show steps
  • Find or create a study group or join an online forum dedicated to NVD3
  • Participate in discussions and ask questions
  • Share your knowledge and assist other members
Three other activities
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Show all six activities
Create a Data Visualization Dashboard for a Sample Dataset
Develop your practical skills by creating an interactive dashboard that visualizes a sample dataset, solidifying your understanding of data visualization techniques.
Show steps
  • Choose a sample dataset that interests you
  • Design the dashboard layout and select relevant charts
  • Use NVD3 to implement the charts and connect them to the dataset
  • Customize the dashboard's appearance and interactivity
Solve NVD3 Coding Challenges on LeetCode
Sharpen your problem-solving skills and deepen your understanding of NVD3 by solving coding challenges on LeetCode.
Show steps
  • Sign up for a LeetCode account
  • Search for NVD3-related problems
  • Attempt to solve the problems and review solutions
Develop a Data Visualization Solution for a Real-World Problem
Enhance your practical skills and apply your NVD3 knowledge by developing a data visualization solution to address a real-world problem, demonstrating your ability to solve complex challenges using data visualization.
Show steps
  • Identify a real-world problem or challenge that can be addressed through data visualization
  • Gather and clean the necessary data
  • Design and develop a data visualization solution using NVD3
  • Deploy and present your solution, showcasing its impact and insights

Career center

Learners who complete Build Your First Data Visualization with NVD3 will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers build, maintain, and manage data pipelines. The work of a Data Engineer is very hands-on and requires knowledge of software engineering practices and general software development skills. Especially relevant to this role is the sections of this course that allow learners to customize their NVD3 charts and make them more interactive. This may help Data Engineers create helpful visual data dashboards and similar data tools.
Data Analyst
Data Analysts typically work with large amounts of data to examine trends, identify patterns, and draw meaningful insights. This course and its focus on how to take raw data and turn it into digestible visual charts could be a valuable tool in a Data Analyst's arsenal.
Software Engineer
Software Engineers design, develop, and maintain software systems. Given the focus of this course on using NVD3 data visualization for d3.js, Software Engineers may be able to use this course to enhance their skillset and build more user-friendly and engaging software.
Data Scientist
Data Scientists combine statistics, data analysis, machine learning, programming, and other techniques to understand and solve complex problems. This course in particular may be useful for Data Scientists looking to visual data in order to present their findings and insights.
User Experience Designer
User Experience Designers ensure that software and other products are easy and enjoyable to use. This course may be helpful for those looking to advance in this career by giving them experience with visual data, which can be a large part of a User Experience Designer's job.
Web Developer
Web Developers design and develop websites and web services. This course may be useful for Web Developers who wish to integrate data visualization elements to enhance user engagement and understanding.
Data Visualization Analyst
Data Visualization Analysts create visual representations of data in order to communicate information clearly and efficiently. This course can help build a foundation for those who want to understand the tools and techniques used in the profession.
Information Architect
Information Architects ensure that websites and other information systems are well-organized, easy to navigate, and meet the needs of users. This course may be helpful for Information Architects by showing them how to visualize data in order to help users quickly and easily find the information they need.
Product Manager
Product Managers turn customers needs into products by leading teams made up of designers and engineers. This course may be helpful for Product Managers by giving them the skills to visualize and understand data, which is essential for making good decisions about products.
Business Analyst
Business Analysts help businesses solve problems and make better decisions by analyzing data and identifying trends. This course may provide Business Analysts with skills in data visualization that can help them present their findings to stakeholders.
Data Journalist
Data Journalists use data to create visual and written stories for media outlets. This course could provide these professionals with the technical skills needed to tell data-driven stories using visual aids.
Statistician
Statisticians collect, analyze, interpret, and present data. This course may be useful for Statisticians by providing practical experience with data visualization techniques commonly used in their field.
Market Researcher
Market Researchers collect and analyze data on consumer behavior. This course may be useful for Market Researchers by providing them with skills in data visualization, which can help them communicate their research findings to clients.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical methods to solve problems in financial markets. This course may provide these professionals with the skills to visualize data so they can communicate their findings effectively.
Epidemiologist
Epidemiologists study the distribution and patterns of health events and diseases across populations. This course may be useful for Epidemiologists by providing them with data visualization skills, which are essential for communicating their findings to public health officials and policy makers.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Build Your First Data Visualization with NVD3.
Focuses specifically on interactive data visualization for the web, covering topics such as creating responsive visualizations, working with data from various sources, and designing for usability. It can provide practical guidance and best practices for building effective data visualizations in a web context.
Provides in-depth knowledge of browser networking, covering topics such as HTTP/2, caching, performance optimization, and more. While not directly related to data visualization, understanding these concepts can be beneficial for building efficient and performant web applications that display visualizations.
Provides a practical guide to using D3.js for data visualization, covering topics such as creating charts, maps, and other visualizations. It can serve as a hands-on companion to the course, offering step-by-step examples and exercises.
Provides a comprehensive overview of data visualization principles and techniques, covering topics such as choosing the right chart type, designing effective visualizations, and communicating data insights. It can serve as a valuable foundation for understanding the principles behind data visualization.
Covers data visualization using Python and JavaScript, providing insights into the tools and techniques used for creating interactive and informative visualizations. It can provide a broader perspective on data visualization, especially for those interested in using Python as well.
Focuses on the principles of effective data visualization, providing guidance on choosing the right chart type for different types of data and insights. It can help students develop a deeper understanding of the purpose and impact of visualizations.
This classic book on data visualization provides a comprehensive overview of the principles and best practices for creating effective and informative visualizations. It serves as a valuable reference for understanding the history and foundations of data visualization.
Provides a concise and practical guide to the good parts of JavaScript, covering topics such as functional programming, closures, and more. While not directly related to data visualization, understanding these concepts can be beneficial for building efficient and maintainable code.
This handbook provides a comprehensive overview of data visualization best practices and techniques, covering topics such as choosing the right chart type, designing for usability, and more. It can serve as a valuable reference for those who want to improve their data visualization skills.

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