At the core of creating meaningful data visualizations is a thorough knowledge of understanding your data and your visualization requirements. In this course, Analyzing Data Visualization Requirements, you’ll learn how to prepare to build data visualizations. First, you’ll learn how to distinguish different types of data. Next, you’ll discover how to use visualizations to explore a dataset, or explain a point. Finally, you’ll examine how to adapt a visualization for a specific audience and medium. When you’re finished with this course, you’ll have a foundational knowledge of data visualizations that will help you as you move forward to create visualizations for your own datasets.
Author Name: Chris Achard
Author Description:
Chris is an independent software consultant focused on web, mobile, and machine learning. He primarily uses React.js with Node.js or Ruby on Rails for web applications, React Native for mobile applications, and Python for machine learning and data science. He’s written an ebook about React, and is excited about teaching software development to others. Recently, he’s been experimenting with generative AI models and other advanced AI techniques.

Table of Contents

• Course Overview
  1min
• Visualizing Quantities or Qualities
  23mins
• Visualizing Numerical Data and Categories
  33mins
• Visualizing to Explain or Explore
  29mins
• Selecting Data to Explain or Explore
  19mins
• Displaying the Appropriate Level of Detail
  29mins
• Providing an Appropriate Visualization for Your Audience
  23mins
• Applying Data Visualization Requirement Analysis
  21mins