Displayr is designed to help people find and share the stories in their data. It makes it quick and easy.
Displayr’s tables and charts place stat testing on them, allowing you to spot the exceptional results quickly.
Rather than having to read through thousands of crosstabs, you can get Displayr to do this for you, deleting any tables that don’t contain interesting results.
Displayr allows you to create small multiples of all standard chart types, making it quick and easy to find complex data patterns.
In addition to all the standard chart types, Displayr has numerous specialized types of visualizations designed for story finding, from palm trees and heatmaps through to violin and Sankey plots.
Some tables are just too complex for humans to find patterns in them easily. Displayr contains the world’s finest correspondence analysis tools, just for this problem.
The essence of much of finding stories is data reduction. Taking a table and progressively simplifying it by merging and reordering categories until all that’s left is the story. Displayr’s unique drag and drop interface has been specifically designed to make this as easy as possible.
Once you have found key facts, the next step in finding stories is to organize all your findings into pyramids. Displayr allows you to do this by drag and drop.
Create interactive reports and dashboards so that your stakeholders can find and engage with the data on their own.
Founder, MAC Research
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 Lewers cut reporting and analysis time by 2/3rds
Some typical examples of conjoint include:
Conjoint analysis is a quantitative research method.
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