- Course
- Data
Analyzing Data Visualization Requirements
Being able to create visualizations is a powerful skill that you can learn. This course teaches you how to analyze your dataset and requirements, and how to adjust your visualization to create the most impactful visualization possible.
What you'll learn
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.
Table of contents
- Introducing Qualitative and Quantitative Visualizations | 1m 42s
- Defining Qualitative and Quantitative Visualizations | 3m 20s
- Exploring Examples of Quantitative Visualizations | 1m 31s
- Exploring Examples of Qualitative Visualizations | 2m 41s
- Evaluating Strengths and Weaknesses of Qualitative and Quantitative Visualizations | 5m 12s
- Combining Quantitative and Qualitative Visualizations | 4m 32s
- Demo: Choosing a Qualitative or Quantitative Visualization for a Dataset | 4m 53s
About the author
Chris is a software consultant focused on web, mobile, and machine learning. He uses React, React Native, Node.js, Ruby on Rails, and Python.