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Ahmad Varasteh
During this guided project, you will create a simple scatter plot using D3 js. Starting from loading our dataset we are going to cover some steps in order to create a fully functional scatter plot. 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.
Register for this course and see more details by visiting:
OpenCourser.com/course/sr4bfv/a
What's inside
Syllabus
Project Overview
During this guided project, you will create a simple scatter plot using D3 js. Starting from loading our dataset we are going to cover some steps in order to create a fully functional scatter plot. 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
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches the basics of d3.js, which is a popular data visualization library for JavaScript
Suitable for those with knowledge of JavaScript and the basics of d3.js
Focuses on creating simple scatter plots, which are a common type of data visualization
Covers important data visualization topics such as linear and ordinal scaling
Provides practical experience through a guided project
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Save A Simple Scatter Plot using D3 js to your list so you can find it easily later:
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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 A Simple Scatter Plot using D3 js with these
activities:
Read 'Interactive Data Visualization for the Web' by Scott Murray
Show steps
Solidify understanding of data visualization concepts and techniques, particularly using D3.js.
View
Interactive Data Visualization for the Web: An...
on Amazon
Show steps
-
Skim the preface and introduction to get an overview of the book.
-
Read and understand the chapters on D3 basics and data binding.
-
Practice creating simple visualizations using the code examples in the book.
-
Complete the exercises at the end of each chapter to reinforce your learning.
Follow the 'D3.js Tutorial' by Mike Bostock
Show steps
Gain hands-on experience with D3.js and develop your skills in creating interactive visualizations.
Browse courses on
D3.js
Show steps
-
Complete the introductory tutorial to get started with D3.js.
-
Work through the tutorials on scales, axes, and shapes.
-
Create a custom visualization using the techniques learned in the tutorials.
Solve D3.js Coding Challenges
Show steps
Sharpen your D3.js skills and problem-solving abilities by working through coding challenges.
Browse courses on
D3.js
Show steps
-
Find coding challenges related to D3.js on platforms like Codewars or HackerRank.
-
Attempt to solve the challenges on your own.
-
Compare your solutions to others and learn from alternative approaches.
Two other activities
Expand to see all activities and additional details
Show all five activities
Build a Scatter Plot Dashboard with D3.js
Show steps
Apply your D3.js skills to create a functional and interactive scatter plot dashboard, reinforcing your understanding of the library and data visualization principles.
Browse courses on
D3.js
Show steps
-
Gather and clean the data for your scatter plot.
-
Create a basic scatter plot utilizzando D3.js.
-
Add axes, labels, and a title to your visualization.
-
Implement interactive features, such as tooltips or zooming.
-
Deploy your dashboard online or share it with others.
Attend a D3.js Meetup or Conference
Show steps
Connect with other D3.js users, learn about latest trends, and gain insights from industry experts.
Browse courses on
D3.js
Show steps
-
Find a D3.js meetup or conference in your area.
-
Attend the event and actively participate in discussions and networking.
-
Follow up with interesting people you meet and continue the conversation online.
Read 'Interactive Data Visualization for the Web' by Scott Murray
Show steps
Solidify understanding of data visualization concepts and techniques, particularly using D3.js.
View
Interactive Data Visualization for the Web: An...
on Amazon
Show steps
Show steps
Show steps
- Skim the preface and introduction to get an overview of the book.
- Read and understand the chapters on D3 basics and data binding.
- Practice creating simple visualizations using the code examples in the book.
- Complete the exercises at the end of each chapter to reinforce your learning.
Follow the 'D3.js Tutorial' by Mike Bostock
Show steps
Gain hands-on experience with D3.js and develop your skills in creating interactive visualizations.
Browse courses on
D3.js
Show steps
Show steps
Show steps
- Complete the introductory tutorial to get started with D3.js.
- Work through the tutorials on scales, axes, and shapes.
- Create a custom visualization using the techniques learned in the tutorials.
Solve D3.js Coding Challenges
Show steps
Sharpen your D3.js skills and problem-solving abilities by working through coding challenges.
Browse courses on
D3.js
Show steps
Show steps
Show steps
- Find coding challenges related to D3.js on platforms like Codewars or HackerRank.
- Attempt to solve the challenges on your own.
- Compare your solutions to others and learn from alternative approaches.
Two other activities
Expand to see all activities and additional details
Show all five activities
Build a Scatter Plot Dashboard with D3.js
Show steps
Apply your D3.js skills to create a functional and interactive scatter plot dashboard, reinforcing your understanding of the library and data visualization principles.
Browse courses on
D3.js
Show steps
Show steps
Show steps
- Gather and clean the data for your scatter plot.
- Create a basic scatter plot utilizzando D3.js.
- Add axes, labels, and a title to your visualization.
- Implement interactive features, such as tooltips or zooming.
- Deploy your dashboard online or share it with others.
Attend a D3.js Meetup or Conference
Show steps
Connect with other D3.js users, learn about latest trends, and gain insights from industry experts.
Browse courses on
D3.js
Show steps
Show steps
Show steps
- Find a D3.js meetup or conference in your area.
- Attend the event and actively participate in discussions and networking.
- Follow up with interesting people you meet and continue the conversation online.
Career center
Learners who complete A Simple Scatter Plot using D3 js will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. This course provides a strong foundation in data visualization techniques, which are essential for effectively communicating insights from data analysis. By learning how to create clear and concise scatter plots, Data Scientists can more effectively present their findings to stakeholders and drive decision-making.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course provides a strong foundation in data visualization techniques, which are essential for effectively communicating insights from data analysis. By learning how to create clear and concise scatter plots, Data Analysts can more effectively present their findings to stakeholders and drive decision-making.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing business data to identify inefficiencies and opportunities for improvement. This course provides a strong foundation in data visualization techniques, which are essential for effectively communicating insights from data analysis. By learning how to create clear and concise scatter plots, Business Analysts can more effectively present their findings to stakeholders and drive decision-making.
Market Researcher
Market Researcher
Market Researchers are responsible for conducting research to understand consumer behavior and market trends. This course provides a strong foundation in data visualization techniques, which are essential for effectively communicating insights from market research. By learning how to create clear and concise scatter plots, Market Researchers can more effectively present their findings to stakeholders and drive decision-making.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for analyzing financial data to make investment recommendations. This course provides a strong foundation in data visualization techniques, which are essential for effectively communicating insights from financial analysis. By learning how to create clear and concise scatter plots, Financial Analysts can more effectively present their findings to clients and drive investment decisions.
Actuary
Actuary
Actuaries are responsible for assessing and managing risk. This course provides a strong foundation in data visualization techniques, which are essential for effectively communicating insights from actuarial analysis. By learning how to create clear and concise scatter plots, Actuaries can more effectively present their findings to stakeholders and drive risk management decisions.
Statistician
Statistician
Statisticians are responsible for collecting, analyzing, and interpreting data to draw conclusions about the world. This course provides a strong foundation in data visualization techniques, which are essential for effectively communicating insights from statistical analysis. By learning how to create clear and concise scatter plots, Statisticians can more effectively present their findings to stakeholders and drive decision-making.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists are responsible for creating visual representations of data that can be easily understood by stakeholders. This course provides a strong foundation in data visualization techniques, including scatter plots. By learning how to create clear and concise scatter plots, Data Visualization Specialists can help businesses make informed decisions.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. This course provides a strong foundation in data visualization techniques, which can be useful for developing user interfaces and dashboards. By learning how to create clear and concise scatter plots, Software Engineers can help users visualize data and make informed decisions.
Web Developer
Web Developer
Web Developers are responsible for designing and developing websites. This course provides a strong foundation in data visualization techniques, which can be useful for creating interactive data visualizations on the web. By learning how to create clear and concise scatter plots, Web Developers can help users visualize data and make informed decisions.
Graphic designer
Graphic designer
Graphic Designers are responsible for creating visual content, such as logos, brochures, and websites. This course provides a strong foundation in data visualization techniques, which can be useful for creating data-driven designs. By learning how to create clear and concise scatter plots, Graphic Designers can help businesses communicate data in a visually appealing way.
User Experience (UX) Designer
User Experience (UX) Designer
UX Designers are responsible for designing user interfaces that are easy to use and understand. This course provides a strong foundation in data visualization techniques, which can be useful for creating user interfaces that are data-driven. By learning how to create clear and concise scatter plots, UX Designers can help businesses create user interfaces that are both visually appealing and functional.
Product Manager
Product Manager
Product Managers are responsible for managing the development and launch of new products. This course provides a strong foundation in data visualization techniques, which can be useful for understanding user needs and making data-driven decisions. By learning how to create clear and concise scatter plots, Product Managers can help businesses create products that are successful in the marketplace.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. This course provides a strong foundation in data visualization techniques, which can be useful for understanding customer behavior and making data-driven decisions. By learning how to create clear and concise scatter plots, Marketing Managers can help businesses create marketing campaigns that are effective and successful.
Sales Manager
Sales Manager
Sales Managers are responsible for managing sales teams and driving sales revenue. This course provides a strong foundation in data visualization techniques, which can be useful for understanding sales performance and making data-driven decisions. By learning how to create clear and concise scatter plots, Sales Managers can help businesses increase sales revenue and profitability.
For more career information including salaries, visit:
OpenCourser.com/course/sr4bfv/a
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
A Simple Scatter Plot using D3 js.
Save
Classic text on data visualization. It provides a comprehensive overview of the principles of data visualization, as well as practical advice for creating effective visualizations.
Comprehensive guide to D3.js. It provides a depth of knowledge that makes it a valuable reference for those who want to master D3.js.
Introduces D3.js, and explains how to use it to create powerful, interactive, and visually appealing data visualizations. It is useful as a complementary reference to this course, especially for those with basic D3.js experience.
Is an accessible introduction to data visualization using D3.js. It useful reference for this course, especially for those who are new to D3.js.
Provides a practical guide to creating beautiful and effective data visualizations. It covers the principles of data visualization, as well as practical techniques for creating visualizations that are both visually appealing and informative.
Classic text on information visualization. It provides a theoretical foundation for data visualization, as well as practical advice for creating effective visualizations.
Save
Provides a fascinating exploration of the patterns and structures that can be found in data. It valuable resource for those who want to learn more about the visual aspects of data.
Save
Provides a comprehensive introduction to data visualization using R. It covers the principles of data visualization, as well as practical techniques for creating effective data visualizations.
Save
Provides a comprehensive introduction to data visualization. It covers the principles of data visualization, as well as practical techniques for creating effective data visualizations.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/sr4bfv/a
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Effort
3 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Ahmad Varasteh
Language
English
Good to know
Teaches the basics of d3.js, which is a popular data visualization library for JavaScript
Suitable for those with knowledge of JavaScript and the basics of d3.js
Focuses on creating simple scatter plots, which are a common type of data visualization
Covers important data visualization topics such as linear and ordinal scaling
Provides practical experience through a guided project
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