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Ahmad Varasteh

Throughout this guided project we are going to create a simple Parallel Coordinates Plot (PCP) using d3 js. PCP is one of the most common data visualization techniques used to visualize high-dimensional datasets. In this guided project you will create a simple PCP step by step. We will also cover some important topics in data visualization such as Linear and Ordinal scaling to best visualize our data. Having the knowledge of javascript programming language and the basics of d3 js are the two most important prerequisites to get the most out of this guided project.

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What's inside

Syllabus

Project Overview
Throughout this guided project we are going to create a simple Parallel Coordinates Plot (PCP) using d3 js. PCP is one of the most common data visualization techniques used to visualize high-dimensional datasets. In this guided project you will create a simple PCP step by step. We will also cover some important topics in data visualization such as Linear and Ordinal scaling to best visualize our data. Having the knowledge of javascript programming language and the basics of d3 js are the two most important prerequisites to get the most out of this guided project.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces Parallel Coordinates Plot (PCP), a common data visualization technique, suitable for learners interested in data visualization
Provides a step-by-step approach to creating a simple PCP, making it accessible to learners with a basic understanding of JavaScript and d3 js
Covers essential data visualization concepts like Linear and Ordinal scaling, which enhance the effectiveness of data visualization

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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 Simple Parallel Coordinates Plot using d3 js with these activities:
Review javascript programming language
Refresh your knowledge of javascript programming language, which is a prerequisite for this course.
Browse courses on JavaScript
Show steps
  • Review online tutorials and documentation
  • Solve coding challenges related to javascript
  • Attend a workshop on javascript
d3 js Tutorial
Complete a guided tutorial on d3 js, which is a required library for this course.
Show steps
  • Follow an online video tutorial on d3 js
  • Follow the official d3 js documentation
  • Attend a workshop on d3 js
Practice Linear and Ordinal Scaling Techniques
Brushing up on linear and ordinal scaling techniques will prepare you for visualizing high-dimensional datasets effectively.
Browse courses on Linear Scaling
Show steps
  • Review the concepts of linear scaling and ordinal scaling.
  • Find practice exercises or tutorials on applying these techniques.
  • Solve practice problems or complete the tutorials.
Six other activities
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Show all nine activities
Follow Tutorials on Creating Parallel Coordinates Plots Using D3
Following tutorials will provide you with practical experience in creating parallel coordinates plots using D3, which is essential for the project in this course.
Show steps
  • Search for tutorials on creating parallel coordinates plots using D3.
  • Select a tutorial that suits your skill level.
  • Follow the tutorial step-by-step to create your own parallel coordinates plot.
  • Experiment with different data sets and customizations.
Simple PCP using d3 js
Start a simple project to create a Parallel Coordinates Plot using d3 js, which will provide hands-on experience with the course material.
Show steps
  • Gather data
  • Create a basic PCP using d3 js
  • Implement additional features such as tooltips and legends
PCP Discussion Group
Participate in a discussion group with peers to discuss PCP, ask questions, and share knowledge, which will enhance your understanding of the course material.
Show steps
  • Join a discussion group
  • Attend meetings
  • Contribute to the discussion
Practice Creating Parallel Coordinates Plots with D3
Creating multiple parallel coordinates plots will reinforce your understanding of the process and enhance your proficiency in using D3.
Show steps
  • Gather different data sets that are suitable for visualization using parallel coordinates plots.
  • Use D3 to create parallel coordinates plots for each data set.
  • Experiment with different color schemes, axis labels, and other customization options.
  • Compare and contrast the effectiveness of different visualizations.
Blog post on PCP
Create a blog post or article that explains the concept of Parallel Coordinates Plots and their uses, reinforcing your understanding of the course material.
Show steps
  • Research PCP
  • Write an outline
  • Write the blog post
Create a Blog Post or Article on Parallel Coordinates Plots
Creating a comprehensive resource on parallel coordinates plots will not only solidify your knowledge but also contribute to the broader understanding of data visualization techniques.
Show steps
  • Research and gather information about parallel coordinates plots.
  • Outline the content of your blog post or article, including key concepts, examples, and best practices.
  • Write the content, ensuring clarity and accuracy.
  • Proofread and edit your writing.
  • Publish your blog post or article on a relevant platform.

Career center

Learners who complete Simple Parallel Coordinates Plot using d3 js will develop knowledge and skills that may be useful to these careers:
Data Visualization Developer
Data Visualization Developers create interactive data visualizations that help users understand complex data. This course can help you develop the skills needed to create visualizations that are both informative and visually appealing. You will learn about different types of visualizations, how to use data to create them, and how to present them in a way that is easy to understand. This course can help you build a foundation for a career as a Data Visualization Developer.
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. This course can help you develop the skills needed to work with data, including data cleaning, data analysis, and data visualization. You will learn about different types of data, how to use statistical techniques to analyze data, and how to communicate your findings to others. This course can help you build a foundation for a career as a Data Analyst.
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses improve their performance. This course can help you develop the skills needed to work with data, including data cleaning, data analysis, and data visualization. You will learn about different types of data, how to use statistical techniques to analyze data, and how to communicate your findings to others. This course can help you build a foundation for a career as a Business Intelligence Analyst.
Market Researcher
Market Researchers collect and analyze data to help businesses understand their customers. This course can help you develop the skills needed to work with data, including data cleaning, data analysis, and data visualization. You will learn about different types of data, how to use statistical techniques to analyze data, and how to communicate your findings to others. This course can help you build a foundation for a career as a Market Researcher.
UX Researcher
UX Researchers study how users interact with products and services. This course can help you develop the skills needed to collect and analyze data, including data cleaning, data analysis, and data visualization. You will learn about different types of data, how to use statistical techniques to analyze data, and how to communicate your findings to others. This course can help you build a foundation for a career as a UX Researcher.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help you develop the skills needed to work with data, including data cleaning, data analysis, and data visualization. You will learn about different types of data, how to use statistical techniques to analyze data, and how to communicate your findings to others. This course can help you build a foundation for a career as a Software Engineer.
Web Developer
Web Developers design and develop websites. This course can help you develop the skills needed to work with data, including data cleaning, data analysis, and data visualization. You will learn about different types of data, how to use statistical techniques to analyze data, and how to communicate your findings to others. This course can help you build a foundation for a career as a Web Developer.
Data Scientist
Data Scientists use data to solve complex problems. This course can help you develop the skills needed to work with data, including data cleaning, data analysis, and data visualization. You will learn about different types of data, how to use statistical techniques to analyze data, and how to communicate your findings to others. This course can help you build a foundation for a career as a Data Scientist.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. This course can help you develop the skills needed to work with data, including data cleaning, data analysis, and data visualization. You will learn about different types of data, how to use statistical techniques to analyze data, and how to communicate your findings to others. This course can help you build a foundation for a career as a Machine Learning Engineer.
Statistician
Statisticians collect, analyze, and interpret data to help businesses and organizations make informed decisions. This course can help you develop the skills needed to work with data, including data cleaning, data analysis, and data visualization. You will learn about different types of data, how to use statistical techniques to analyze data, and how to communicate your findings to others. This course can help you build a foundation for a career as a Statistician.
Financial Analyst
Financial Analysts use data to help businesses make investment decisions. This course can help you develop the skills needed to work with data, including data cleaning, data analysis, and data visualization. You will learn about different types of data, how to use statistical techniques to analyze data, and how to communicate your findings to others. This course can help you build a foundation for a career as a Financial Analyst.
Marketing Manager
Marketing Managers develop and implement marketing campaigns. This course can help you develop the skills needed to work with data, including data cleaning, data analysis, and data visualization. You will learn about different types of data, how to use statistical techniques to analyze data, and how to communicate your findings to others. This course can help you build a foundation for a career as a Marketing Manager.
Sales Manager
Sales Managers develop and implement sales strategies. This course can help you develop the skills needed to work with data, including data cleaning, data analysis, and data visualization. You will learn about different types of data, how to use statistical techniques to analyze data, and how to communicate your findings to others. This course can help you build a foundation for a career as a Sales Manager.
Product Manager
Product Managers develop and manage products. This course can help you develop the skills needed to work with data, including data cleaning, data analysis, and data visualization. You will learn about different types of data, how to use statistical techniques to analyze data, and how to communicate your findings to others. This course can help you build a foundation for a career as a Product Manager.
Project Manager
Project Managers plan and execute projects. This course can help you develop the skills needed to work with data, including data cleaning, data analysis, and data visualization. You will learn about different types of data, how to use statistical techniques to analyze data, and how to communicate your findings to others. This course can help you build a foundation for a career as a Project Manager.

Reading list

We've selected nine 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 Simple Parallel Coordinates Plot using d3 js.
Provides a comprehensive introduction to d3.js, the JavaScript library used to create the PCP in this course. It covers the basics of d3.js, as well as more advanced topics such as data binding and scales. This book is essential reading for anyone who wants to learn more about d3.js and create interactive data visualizations for the web.
Provides a comprehensive introduction to data visualization, covering the principles of visual perception, data encoding, and interaction design. It also includes a chapter on d3.js, making it a valuable resource for anyone who wants to learn more about data visualization and how to use d3.js to create interactive data visualizations.
Provides a comprehensive overview of data visualization, covering the principles of visual perception, data encoding, and interaction design. It also includes a number of examples of how to create effective data visualizations for different types of data.
Provides a beautiful and insightful introduction to data visualization, covering the principles of visual perception, data encoding, and interaction design. It also includes a number of examples of how to create effective data visualizations for different types of data.
This classic book on data visualization must-read for anyone who wants to learn more about the principles of visual perception and how to create effective data visualizations. It covers a wide range of topics, including the use of color, typography, and layout.
Provides a practical guide to data visualization, covering the principles of visual perception, data encoding, and interaction design. It also includes a number of examples of how to create effective data visualizations for different types of data.
Provides a simple and practical guide to data visualization, covering the principles of visual perception, data encoding, and interaction design. It also includes a number of examples of how to create effective data visualizations for different types of data.
Provides a hands-on introduction to d3.js, covering the basics of the library as well as more advanced topics such as data binding, scales, and transitions. It also includes a number of examples of interactive data visualizations that you can create with d3.js.
Provides a comprehensive overview of parallel coordinates, including their history, theory, and applications. It also includes a number of examples of how parallel coordinates can be used to visualize high-dimensional data.

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