## Correspondence 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…

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

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

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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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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 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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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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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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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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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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