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Build Your First Data Visualization with RAWGraphs 1

Troy Kranendonk

This course takes complex data and allows anyone to visualize it.

Creating complex visuals doesn't need to be as daunting a task as it sounds. In this course, Build Your First Data Visualization with RAWGraphs, you'll be going over all the features RAWgraphs has to offer. First, you'll see how simple it is to load data. Next, you'll discover how to add data to a chart built on top of D3.JS. Finally, you'll analyze the data before exporting. By the end of this course, you’ll know how easy it is to build complex diagrams even without a design or programming background.

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RAWGraphs Data Visualization D3.js

What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explains concepts surrounding data visualization, which is basic knowledge for jobs in analytics and data science
Covers techniques associated with D3.js, which is a popular yet powerful tool for data visualization
Focuses on building graphs, which are fundamental for visualization and generating insights from data
Suitable for analysts and data visualization enthusiasts who have zero programming and design backgrounds
Targeted at beginners who need an introduction to the basics of data visualization with RAWGraphs
Instructor Troy Kranendonk has experience in data science and visualization, but his reputation is not widely recognized

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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 RAWGraphs 1 with these activities:
RAWGraphs Tutorial Series
Familiarize yourself with the features and capabilities of RAWGraphs by following a series of guided tutorials on its website or external resources.
Show steps
  • Watch video tutorials or read articles that demonstrate how to use RAWGraphs.
  • Follow along with the examples and practice creating basic visualizations.
Review D3.JS
Reinforce your understanding of D3.JS, a popular library for data visualization in JavaScript, to enhance your ability to create interactive data visualizations in RAWGraphs.
Browse courses on D3.js
Show steps
  • Visit the D3.JS website and review the tutorials and documentation.
  • Create a simple data visualization using D3.JS to practice using its core features.
Guided Visualization Practice
Engage in guided practice exercises that utilize RAWGraphs' features to strengthen your data visualization skills.
Show steps
  • Follow the step-by-step tutorials provided by RAWGraphs.
  • Experiment with different data sets and visualization types to explore RAWGraphs' capabilities.
Four other activities
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Show all seven activities
Peer Review Workshop
Collaborate with peers to review and provide feedback on each other's data visualizations, offering constructive criticism to enhance the quality of your work.
Show steps
  • Share your data visualization project with your peers.
  • Provide constructive feedback on the design, data analysis, and presentation of your peers' visualizations.
  • Incorporate the feedback received to refine and improve your own visualization.
Data Visualization Blog Post
Create a blog post or article that showcases your understanding of data visualization using RAWGraphs, offering insights and tips to help others improve their data visualization skills.
Show steps
  • Choose a specific data visualization technique or concept to focus on.
  • Write a clear and engaging article explaining the technique, providing examples, and sharing your own experiences using RAWGraphs.
  • Share your blog post or article on relevant platforms to reach a wider audience and contribute to the data visualization community.
Data Visualization Project
Develop your own data visualization project using RAWGraphs to showcase your understanding and creativity in presenting data.
Show steps
  • Gather and prepare a dataset for your visualization.
  • Design and create a visualization that effectively conveys your data insights.
  • Export and share your visualization, explaining your design choices and the story behind the data.
Data Visualization Workshop
Attend a workshop that covers advanced techniques and best practices for data visualization, focusing on the practical application of RAWGraphs.
Show steps
  • Participate in hands-on exercises and discussions led by experienced data visualization experts.
  • Learn about cutting-edge tools and techniques for creating effective and impactful visualizations.

Career center

Learners who complete Build Your First Data Visualization with RAWGraphs 1 will develop knowledge and skills that may be useful to these careers:
Business Intelligence Analyst
Business Intelligence Analysts are responsible for collecting, analyzing, and interpreting data to help businesses make better decisions. This course can help you build the skills you need to succeed in this role by teaching you how to use RAWGraphs to visualize data, which is an essential skill for any Business Intelligence Analyst. You'll learn how to create charts and graphs that are clear and easy to understand, which can help you communicate your findings to stakeholders effectively.
See salaries and explore the career path for Business Intelligence Analyst
Data Analyst
Data Analysts use data to solve problems and make informed decisions. They use their skills in data visualization, statistics, and programming to analyze data and identify trends and patterns. This course can help you build the skills you need to succeed in this role by teaching you how to use RAWGraphs to visualize data. You'll learn how to create charts and graphs that are clear and easy to understand, which can help you communicate your findings to stakeholders effectively.
See salaries and explore the career path for Data Analyst
Data Scientist
Data Scientists use their skills in mathematics, statistics, and programming to build models and algorithms that can be used to make predictions and solve problems. This course can help you build the skills you need to succeed in this role by teaching you how to use RAWGraphs to visualize data. You'll learn how to create charts and graphs that are clear and easy to understand, which can help you communicate your findings to stakeholders effectively.
See salaries and explore the career path for Data Scientist
Information Architect
Information Architects design and organize websites and other digital products to make them easy for users to find and use. This course can help you build the skills you need to succeed in this role by teaching you how to use RAWGraphs to visualize data. You'll learn how to create charts and graphs that are clear and easy to understand, which can help you communicate your findings to stakeholders effectively.
See salaries and explore the career path for Information Architect
Marketing Analyst
Marketing Analysts use data to understand customer behavior and develop marketing campaigns. This course can help you build the skills you need to succeed in this role by teaching you how to use RAWGraphs to visualize data. You'll learn how to create charts and graphs that are clear and easy to understand, which can help you communicate your findings to stakeholders effectively.
See salaries and explore the career path for Marketing Analyst
Product Manager
Product Managers are responsible for developing and managing products. They use their skills in data analysis, user research, and product development to create products that meet the needs of users. This course can help you build the skills you need to succeed in this role by teaching you how to use RAWGraphs to visualize data. You'll learn how to create charts and graphs that are clear and easy to understand, which can help you communicate your findings to stakeholders effectively.
See salaries and explore the career path for Product Manager
Project Manager
Project Managers plan, execute, and close projects. They use their skills in project management, communication, and stakeholder management to ensure that projects are completed on time and within budget. This course can help you build the skills you need to succeed in this role by teaching you how to use RAWGraphs to visualize data. You'll learn how to create charts and graphs that are clear and easy to understand, which can help you communicate your findings to stakeholders effectively.
See salaries and explore the career path for Project Manager
Research Analyst
Research Analysts use their skills in research, analysis, and writing to provide insights into a variety of topics. This course can help you build the skills you need to succeed in this role by teaching you how to use RAWGraphs to visualize data. You'll learn how to create charts and graphs that are clear and easy to understand, which can help you communicate your findings to stakeholders effectively.
See salaries and explore the career path for Research Analyst
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their skills in programming, data structures, and algorithms to create software that meets the needs of users. This course may be useful for Software Engineers who want to learn how to use RAWGraphs to visualize data, which can help them communicate their findings to stakeholders effectively.
See salaries and explore the career path for Software Engineer
Statistician
Statisticians collect, analyze, and interpret data to help businesses and organizations make informed decisions. This course may be useful for Statisticians who want to learn how to use RAWGraphs to visualize data, which can help them communicate their findings to stakeholders effectively.
See salaries and explore the career path for Statistician
Systems Analyst
Systems Analysts design and implement computer systems. They use their skills in systems analysis, programming, and project management to create systems that meet the needs of users. This course may be useful for Systems Analysts who want to learn how to use RAWGraphs to visualize data, which can help them communicate their findings to stakeholders effectively.
See salaries and explore the career path for Systems Analyst
Technical Writer
Technical Writers create documentation for software and other technical products. They use their skills in writing, editing, and technical communication to create documentation that is clear and easy to understand. This course may be useful for Technical Writers who want to learn how to use RAWGraphs to visualize data, which can help them create more effective documentation.
See salaries and explore the career path for Technical Writer
User Experience Designer
User Experience Designers design and evaluate the user experience of websites, apps, and other digital products. They use their skills in user research, design, and prototyping to create products that are easy to use and enjoyable to use. This course may be useful for User Experience Designers who want to learn how to use RAWGraphs to visualize data, which can help them communicate their findings to stakeholders effectively.
See salaries and explore the career path for User Experience Designer
Web Developer
Web Developers design and develop websites. They use their skills in HTML, CSS, and JavaScript to create websites that are visually appealing and functional. This course may be useful for Web Developers who want to learn how to use RAWGraphs to visualize data, which can help them create more effective websites.
See salaries and explore the career path for Web Developer

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 Build Your First Data Visualization with RAWGraphs 1.
Cover image
Beautiful Evidence
Save
Classic in the field of data visualization. It provides a comprehensive overview of the principles of effective data visualization. This book is helpful for anyone who wants to understand the theory and practice of data visualization.
Beautiful Evidence
Hardcover
$$
Cover image
Information Visualization
Save
Classic in the field of information visualization. It provides a comprehensive overview of the cognitive, perceptual, and design principles that underlie effective data visualization. This book is helpful for anyone who wants to understand the theory and practice of data visualization.
Information Visualization
Paperback
Check
Information Visualization
Kindle Edition
Check
Cover image
R Graphics Cookbook
Save
Provides a collection of recipes for creating data visualizations in R. It covers a wide range of topics, including basic charts, interactive visualizations, and advanced techniques. This book is helpful for anyone who wants to create data visualizations in R.
R Graphics Cookbook
Paperback
Check
R Graphics Cookbook
Kindle Edition
Check
Cover image
Advanced R, Second Edition
Save
Provides a comprehensive overview of ggplot2, a popular data visualization library for R. It covers all the features of ggplot2, from data preparation to creating interactive visualizations. This book is helpful for both beginners and experienced ggplot2 users.
Advanced R, Second Edition (Chapman & Hall/CRC The...
Paperback
$$$
Advanced R, Second Edition (Chapman & Hall/CRC The...
Kindle Edition
$$$
Cover image
D3.js in Action, Third Edition
Save
Provides a comprehensive overview of D3.js, a popular data visualization library for JavaScript. It covers all the features of D3.js, from data manipulation to creating interactive visualizations. This book is helpful for both beginners and experienced D3.js users.
D3.js in Action, Third Edition
Paperback
Check
D3.js in Action, Third Edition
Kindle Edition
Check
Cover image
The Truthful Art
Save
Provides a comprehensive overview of the principles of effective data visualization. It covers a wide range of topics, including data visualization ethics, chart selection, and design principles. This book is helpful for anyone who wants to create data visualizations that are both accurate and persuasive.
The Truthful Art
Paperback
Check
The Truthful Art
Kindle Edition
Check
Cover image
Data Visualization
Save
Provides a comprehensive overview of data visualization principles and techniques. It covers a wide range of topics, including data preparation, chart selection, and design principles. This book is helpful for both beginners and experienced data visualization practitioners.
Data Visualization: A Successful Design Process: A...
Paperback
$
Data Visualization: Representing Information on...
Kindle Edition
$$$
Data Visualization Design and Utilization (Korean...
Paperback
$$$
Cover image
Visualizing Data
Save
Provides a practical introduction to data visualization. It covers a wide range of topics, including data exploration, chart selection, and design principles. This book is helpful for both beginners and experienced data visualization practitioners.
Visualizing Data: Exploring and Explaining Data...
Paperback
$$
Visualizing Data: Exploring and Explaining Data...
Kindle Edition
$$
Cover image
Data Points
Save
Provides a collection of essays on data visualization. It covers a wide range of topics, including the history of data visualization, the principles of effective data visualization, and the ethical implications of data visualization. This book is helpful for anyone who wants to understand the role of data visualization in society.
Data Points
Paperback
Check
Data Points
Kindle Edition
Check

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Time
19 hours
Level
Introductory
Via
Pluralsight
Instructor
Troy Kranendonk
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explains concepts surrounding data visualization, which is basic knowledge for jobs in analytics and data science
Covers techniques associated with D3.js, which is a popular yet powerful tool for data visualization
Focuses on building graphs, which are fundamental for visualization and generating insights from data
Suitable for analysts and data visualization enthusiasts who have zero programming and design backgrounds
Targeted at beginners who need an introduction to the basics of data visualization with RAWGraphs
Instructor Troy Kranendonk has experience in data science and visualization, but his reputation is not widely recognized
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