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Correspondence Analysis
Easily Perform Correspondence AnalysisDisplayr is the easiest and most intuitive correspondence analysis tool, specifically designed for survey research to uncover and communicate data insights effectively. Try it free ...
https://www.displayr.com/correspondence-analysis/ -
How Correspondence Analysis Works (With Examples)
What is correspondence analysis? Correspondence analysis is a data science tool for summarizing tables. It helps you see relationships between categories—like brands and customer opinions, or products and preferences—by turning raw numbers into intuitive visual maps. Instead of getting lost in the...
https://www.displayr.com/how-correspondence-analysis-works/ -
Understanding Correspondence Analysis: A Comprehensive Guide for 2025
This is a comprehensive guide to understanding correspondence analysis and is designed for anyone looking to gain an understanding of how correspondence analysis works and how to apply it. In particular, this guide will be especially helpful for market researchers who...
https://www.displayr.com/understanding-correspondence-analysis-a-comprehensive-guide/ -
How to Interpret Correspondence Analysis Plots (It Probably Isn’t the Way You Think)
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 as easy to read as most people assume. In How correspondence analysis works (a simple explanation),...
https://www.displayr.com/interpret-correspondence-analysis-plots-probably-isnt-way-think/ -
Easily Add Images to a Correspondence Analysis Plot in R
You can take your correspondence analysis plots to the next level by including images. Better still, you don't need to paste in the images after the analysis is complete - you can include them right from the start. The plot above...
https://www.displayr.com/easily-add-images-to-a-correspondence-analysis-plot-in-r/ -
Understanding the Math of Correspondence Analysis
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. Correspondence analysis is a popular tool for visualizing the patterns in large tables. For many practitioners, it...
https://www.displayr.com/math-correspondence-analysis/ -
Correspondence Analysis of Square Tables
Square tables are data tables where the rows and columns have the same labels, commonly seen as a crosstab of brand switching or brand repertoire data. Correspondence analysis is often used to visualize these tables as a much simpler chart. In this...
https://www.displayr.com/correspondence-analysis-of-brand-switching-and-other-square-tables/ -
How to do Traditional Correspondence Analysis in Displayr
Correspondence analysis is a data analysis technique which summarizes the patterns in a table of data as a visualization. Tables with more than a handful of rows and columns can often become difficult to read, and the patterns can get...
https://www.displayr.com/how-to-do-traditional-correspondence-analysis-in-displayr/ -
When To Use (And Not Use) Correspondence Analysis
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 read, and end with a relatively simple visualization. In this post I explain how you...
https://www.displayr.com/use-not-use-correspondence-analysis/ -
Adding Supplementary Points To A Correspondence Analysis
Retrospectively adding supplementary points to a correspondence analysis can greatly assist in the interpretation of results. In other words, including supplementary row or column points to a correspondence analysis after the core data has determined the map can improve interpretation...
https://www.displayr.com/supplementary-points-improving-interpretation-of-correspondence-analysis/ -
Using Bubble Charts to Show Significant Relationships and Residuals in Correspondence Analysis
While correspondence analysis does a great job at highlighting relationships in large tables, a practical problem is that correspondence analysis only shows the strongest relationships, and sometimes some of the weaker relationships may be of more interest. One of our users (thanks Katie...
https://www.displayr.com/bubble-charts-significant-correspondence-analysis/ -
Normalization and Scaling in Correspondence Analysis
This post gives recommendations for the best approach to normalization for different situations, making correspondence plots less misleading....
https://www.displayr.com/normalization-correspondence-analysis/ -
Focusing the Results of Correspondence Analysis in Displayr
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, there may be circumstances when we are interested in a specific row of the table...
https://www.displayr.com/focusing-the-results-of-correspondence-analysis-in-displayr/ -
3D Correspondence Analysis Plots in R Using Plotly
In this post I show how Plotly can be used to create interactive 3D visualizations of correspondence analysis. Back in the "olden days" of the 1970s it was apparently not unknown for statisticians to create 3D visualizations using tinkertoys. For some inexplicable reason,...
https://www.displayr.com/3d-correspondence-analysis-plots-in-r-using-plotly/ -
3D Correspondence Analysis Plots in Displayr
In this post I show you to create 3D visualizations of correspondence analysis using Displayr. This allows you to view an extra dimension of your data (and looks great too!). Traditional correspondence analysis Traditional correspondence analysis plots typically plot the first two...
https://www.displayr.com/3d-correspondence-analysis-plots-in-displayr/ -
Customization of Bubble Charts for Correspondence Analysis in Displayr
When you insert a bubble chart in Displayr (Insert > Visualization > Bubbleplot), you can customize some aspects of its appearance from the controls that appear in the object inspector on the right of the screen. More advanced customizations can be performed by instead inserting...
https://www.displayr.com/advanced-customization-of-bubble-charts-for-correspondence-analysis-in-displayr/
