In addition to doing the standard correspondence analysis, we support all the key variants, including multiple correspondence analysis, correspondence analysis of square tables, and trends. You can further customize these using rotation, normalizations, and supplementary data points.
Q does three things that aren’t in any other tools. It offers an automated rotation feature, that allows you to focus the analysis on a key feature (e.g., a key brand), ensuring that the analysis is most relevant to your problem. It has the easiest to interpret visualization (the moonplot). Last, but not least, it automatically places the labels so that they don’t overlap (even if you use logos instead of labels).
The correspondence analysis has been specifically designed to be perfect for analysis and presentation of brand association data , allowing for the entirely automated creation of market structure maps, showing which brands compete with who, how the big brands are, and the bases of their competition.
Q’ s correspondence analysis can be used to analyze any data type: categorical, numeric, multiple response, etc.
Hook correspondence analysis up to any table.
Analysis will automatically update when you revise the data, whether filtering, data cleaning, or adding in a new wave of data.
Q is a general-purpose analysis app that does everything from crosstabs to text coding to advanced analysis, driver analysis, and segmentation.
Once you have created your correspondence analysis, you can easily integrate them into a Displayr dashboard or even export them to PowerPoint.
Automate manual tasks and create re-usable analysis and reports.
DIY advanced analysis and visualizations.
Manipulate your data with a couple of clicks.
