Multivariate Analysis

Your constantly-updated definition of Multivariate Analysis and collection of videos and articles
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What is Multivariate Analysis?

Multivariate analysis is required when there are 4 or more dependent variables to be examined against an independent variable or variables. The challenge for an information visualization designer is to help someone make sense of these complex relationships. While a univariate analysis (with only a single dependent variable) is very simple to carry out – the more dependent variables added to a data set, the more difficult it becomes to represent these relationships in a meaningful way to the user.

Literature on Multivariate Analysis

Here’s the entire UX literature on Multivariate Analysis by the Interaction Design Foundation, collated in one place:

Learn more about Multivariate Analysis

Take a deep dive into Multivariate Analysis with our course Information Visualization .

Information visualization skills are in high demand, partly thanks to the rise in big data. Tech research giant Gartner Inc. observed that digital transformation has put data at the center of every organization. With the ever-increasing amount of information being gathered and analyzed, there’s an increasing need to present data in meaningful and understandable ways.

In fact, even if you are not involved in big data, information visualization will be able to help in your work processes as a designer. This is because many design processes—including conducting user interviews and analyzing user flows and sales funnels—involve the collation and presentation of information. Information visualization turns raw data into meaningful patterns, which will help you find actionable insights. From designing meaningful interfaces, to processing your own UX research, information visualization is an indispensable tool in your UX design kit.

This course is presented by Alan Dix, a former professor at Lancaster University in the UK. A world-renowned authority in the field of human-computer interaction, Alan is the author of the university-level textbook Human-Computer Interaction. “Information Visualization” is full of simple but practical lessons to guide your development in information visualization. We start with the basics of what information visualization is, including its history and necessity, and then walk you through the initial steps in creating your own information visualizations. While there’s plenty of theory here, we’ve got plenty of practice for you, too.

All open-source articles on Multivariate Analysis

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