Displayr is the easiest and most intuitive correspondence analysis tool, specifically designed for survey research to uncover and communicate data insights effectively.
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.
Displayr 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.
Displayr’ 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.
Displayr is not just a correspondence analysis platform; it excels in every aspect including crosstabs & pivot tables, trend analysis, advanced analytics, dashboards, PowerPoint reporting, data apps, and more. Once you have your correspondence analysis, you can seamlessly integrate your insights into your reports and even update everything automatically with new insights.
President – Americas, MDI
SQL, databases, Excel, CSV, text, SPSS, survey platforms, APIs, integrations, & more.
Summary tables, crosstabs, pivot tables, regression, text analysis, segmentation, machine learning, & more.
Data visualization, interactive data apps, dashboards, presentations, PowerPoint, Excel, PDF, web pages, & more.
AI automatically identifies and categorizes themes within your text data, providing deeper insights.
Understand and analyze complex emotions like frustration and sadness, helping you understand customer motives.
Extract key entities like names, places, and organizations to enrich your analysis.
Fine-tune and adjust categories to match your specific needs and preferences.
Create stunning word clouds, charts, and dashboards that help tell the story behind your text.
Analyze text data in any language, with true native language support to a global audience.
Analyze large volumes of text to gauge positive, negative, or neutral sentiments.
Extract insights with unrivalled accuracy, utilizing NLP to reduce manual effort and free up time.
Displayr helps Cygnal cut report creation time in half
Correspondence Analysis is a way of summarizing tables and using visualizations to make them easier to understand. It is particularly useful when dealing with tables that have too many columns/rows and have become hard to read.
One of the most common use cases for Correspondence Analysis is in a brand perception study, as you can quickly and easily see how different competitors are viewed by respondents. Other common use cases include customer segmentation, survey analysis, and identifying patterns in categorical datasets.
Yes! Displayr provides powerful tools for performing Correspondence Analysis, allowing users to generate interactive visualizations, interpret results easily, and integrate findings into reports with automated updates.
