Latest in the Data Visualization series, Tim Bock shares how to best utilize correspondence analysis and how to apply the practice using a case study on carbonated drinks.
Correspondence analysis can be used to visualize a complex table of results as a much simpler chart. This post describes how correspondence analysis works and how to interpret the results.
Brand maps show which brands compete with which other brands, but can be difficult to understand. Tim Bock shares an alternative output to brand maps, the moonplot.
Tim Bock of Displayr shares best practices for utilizing bubble charts for clear data visualization in correspondence analysis.
You can take your correspondence analysis plots to the next level by including images. Tim Bock of Displayr gives step-by-step instructions on how to add images to a correspondence analysis plot using R.
