Blog.

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…

Correspondence analysis outputs consist of coordinates (usually plotted on a scatterplot) that explain the most variation across all of the brands. When we are interested…

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.

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!

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

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

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

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.

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

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

Correspondence analysis is one of those rare data science tools which make things simpler. You start with a big table that is too hard to…

Correspondence analysis is a data science tool for summarizing tables. This post explains the basics of how it works. It focuses on how to understand…

Correspondence analysis is a popular data science technique. It takes a large table, and turns it into a seemingly easy-to-read visualization. Unfortunately, it is not quite…

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.

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