Correspondence Analysis.
![](https://www.displayr.com/wp-content/uploads/2020/09/dimensionreductionv2-01.png)
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…
Continue reading
![](https://www.displayr.com/wp-content/uploads/2019/02/rotate-correspondence-analysisv2.png)
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…
Continue reading
![](https://www.displayr.com/wp-content/uploads/2017/07/mini_cooper.png)
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…
Continue reading
![](https://www.displayr.com/wp-content/uploads/2018/09/Untitled-design-7.png)
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.
Continue reading
![](https://www.displayr.com/wp-content/uploads/2018/09/3dca-1.png)
Plotly can be used to create interactive, 3D visualizations of correspondence analysis. You can publish these as online dashboards using Displayr.
Continue reading
![3d correspondence analysis](https://www.displayr.com/wp-content/uploads/2018/09/3dca.png)
Displayr allows you to create 3D correspondence analysis plots. These show three dimensions of data instead of only 2, and look awesome too!
Continue reading
![](https://www.displayr.com/wp-content/uploads/2017/08/mercedes-780_480.jpg)
Supplementary points of data can be added to a "core" correspondence analysis to aid interpretation without influencing the placement of core data.
Continue reading
![](https://www.displayr.com/wp-content/uploads/2017/08/moonplot-01.png)
Correspondence analysis outputs are difficult to read correctly. Moonplots are a better alternative to brand maps because they are much easier to interpret.
Continue reading
![Scaled world map showing longitude and latitude](https://www.displayr.com/wp-content/uploads/2017/08/Cylindrical_equal-area_projection_SWb.jpg)
This post gives recommendations for the best approach to normalization for different situations, making correspondence plots less misleading.
Continue reading
![correspondence analysis example](https://www.displayr.com/wp-content/uploads/2017/08/readership-correspondence-analysis.png)
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.
Continue reading
![](https://www.displayr.com/wp-content/uploads/2017/07/squaretables-01.png)
In this post I discuss the special case of Correspondence Analysis with square tables. Such tables often arise in the context of brand switching.
Continue reading
![Using Displayr](https://www.displayr.com/wp-content/uploads/2017/04/Using_Displayr.png)
Advanced Customization of Bubble Charts for Correspondence Analysis in Displayr for when weak relationships are interesting.
Continue reading
![correspondence analysis](https://www.displayr.com/wp-content/uploads/2017/07/correspondence-analysis-bubbles.png)
While correspondence analysis does a great job at highlighting relationships in large tables, a practical problem is that correspondence analysis only shows
Continue reading
![correspondence-analysis-sales](https://www.displayr.com/wp-content/uploads/2017/05/sales.data_.png)
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…
Continue reading
![](https://www.displayr.com/wp-content/uploads/2017/05/whichcorrespondence.jpg)
Continue reading
![](https://www.displayr.com/wp-content/uploads/2017/05/cogs.png)
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…
Continue reading
![](https://www.displayr.com/wp-content/uploads/2017/05/interpretcorrespsondence.jpg)
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…
Continue reading
![correspondence analysis](https://www.displayr.com/wp-content/uploads/2017/05/correspondence-logos-scaled.png)
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.
Continue reading
![correspondence analysis](https://www.displayr.com/wp-content/uploads/2017/05/correspondence-logos-scaled.png)
You can take your correspondence analysis plots to the next level by including images. This post describes how to create this plot using R.
Continue reading
![Correspondence Analysis](https://www.displayr.com/wp-content/uploads/2017/02/large_corr.png)
Correspondence analysis is a great tool for analyzing big quantities of data, uncovering the key insights faster then visualizations like Heatmaps.
Continue reading