Correspondence Analysis.

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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Moonplot to show brand mapping from a correspondence analysis
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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Scaled world map showing longitude and latitude
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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correspondence analysis example
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 for brand switching
Correspondence Analysis of Square Tables
25 July 2017 | by Jake Hoare

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

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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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Traditional Crosstab
Old-School Crosstabs: Obsolete Since 1990, but Still a Great Way to Waste Time and Reduce Quality
27 June 2017 | by Tim Bock

The table above is what I call an old-school crosstab. If you squint, and have seen one of these before, then you can probably read it.

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correspondence-analysis-sales
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 movements
Using Correspondence Analysis to Compare Sub-Groups and Understand Trends
22 May 2017 | by Tim Bock

This post shows how to use correspondence analysis to compare sub-groups. It focuses on one of the most interesting types of sub-groups: data at different points

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Multiple Correspondence Analysis
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 the underlying

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correspondence analysis movements
How to Interpret Correspondence Analysis Plots (It Probably Isn’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. Unfortunately, it is not quite

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Correspondence Analysis
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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