# Blog.

## Correspondence Analysis.

Learn More about Dimension Reduction in Displayr
09 September 2020 | by Tim Ali

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

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Rotate Your Correspondence Analysis to Better Understand Your Brand Positioning
08 February 2019 | by Tim Bock

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

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Focusing the Results of Correspondence Analysis in Displayr
29 October 2018 | by Jake Hoare

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

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How to do Traditional Correspondence Analysis in Displayr
25 September 2018 | by Chris Facer

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.

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3D Correspondence Analysis Plots in R Using Plotly
18 September 2018 | by Tim Bock

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

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3D Correspondence Analysis Plots in Displayr
14 September 2018 | by Tim Bock

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

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Adding Supplementary Points to a Correspondence Analysis
17 August 2017 | by Jake Hoare

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

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Moonplots: A Better Visualization for Brand Maps
15 August 2017 | by Tim Bock

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

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Normalization and Scaling in Correspondence Analysis
08 August 2017 | by Tim Bock

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

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Understanding the Math of Correspondence Analysis
08 August 2017 | by Tim Bock

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.

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Correspondence Analysis of Square Tables
25 July 2017 | by Jake Hoare

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

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Customization of Bubble Charts for Correspondence Analysis in Displayr
08 July 2017 | by Tim Bock

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

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Using Bubble Charts to Show Significant Relationships and Residuals in Correspondence Analysis
08 July 2017 | by Tim Bock

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

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When to Use, and Not Use, Correspondence Analysis
23 May 2017 | by Tim Bock

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

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Correspondence Analysis Versus Multiple Correspondence Analysis: Which to Use and When?
22 May 2017 | by Tim Bock
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...

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How Correspondence Analysis Works (A Simple Explanation)
19 May 2017 | by Tim Bock

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

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How to Interpret Correspondence Analysis Plots (It Probably Isnâ€™t the Way You Think)
19 May 2017 | by Tim Bock

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

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Easily Add Images to a Correspondence Analysis Map in Displayr
17 May 2017 | by Tim Bock

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.

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Easily Add Images to a Correspondence Analysis Plot in R
17 May 2017 | by Tim Bock

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

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Using Correspondence Analysis to Find Patterns in Tables
13 February 2017 | by Tim Bock

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

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