Blog.

Explore correspondence analysis to visualize data and uncover relationships between categories. Simple methods explained.

Unlock the complexity of data visualization with our guide on how to interpret correspondence analysis for better insights.

You can take your correspondence analysis plots to the next level by including images. This post describes how to create this plot using R.

Correspondence analysis outputs are difficult to read correctly. Moonplots are a better alternative to brand maps because they are much easier to interpret.

If you've ever wanted a deeper understanding of what's going on behind the scenes of Correspondence analysis, then this post is for you. Examples are in R.

In this post I discuss the special case of Correspondence Analysis with square tables. Such tables often arise in the context of brand switching.

Correspondence analysis is a data analysis technique which summarizes the patterns in a table of data as a visualization. Learn how to create your own.

Unlock the power of correspondence analysis to simplify complex data tables into clear visualizations for better insights.

Supplementary points of data can be added to a "core" correspondence analysis to aid interpretation without influencing the placement of core data.

While correspondence analysis does a great job at highlighting relationships in large tables, a practical problem is that correspondence analysis only shows

This post gives recommendations for the best approach to normalization for different situations, making correspondence plots less misleading.

Correspondence analysis is often used to visualize a table of data. The goal is to represent as much information as possible, as accurately as possible. However,…

Plotly can be used to create interactive, 3D visualizations of correspondence analysis. You can publish these as online dashboards using Displayr.

Displayr allows you to create 3D correspondence analysis plots. These show three dimensions of data instead of only 2, and look awesome too!

Advanced Customization of Bubble Charts for Correspondence Analysis in Displayr for when weak relationships are interesting.

You can take your correspondence analysis plots to the next level by including images. Better still, you can include them from the start of your analysis.

Correspondence Analysis Webinar: DIY Market Mapping Using Correspondence Analysis Ebook: DIY Correspondence Analysis How Correspondence Analysis Works (A Simple Explanation) Understanding the Math of Correspondence…

Correspondence analysis is perhaps the most widely used multivariate tool in market research. It’s our “go to” tool for displaying complex tables, such as brand…

In this post I explain the difference between the two techniques, and their relative strengths and weaknesses. I assume that you already are familiar with…

Correspondence analysis is a great tool for analyzing big quantities of data, uncovering the key insights faster then visualizations like Heatmaps.