Create crosstabs in minutes for free. It’s as simple as dragging and dropping your data onto the page.
Truly automate crosstab generation. Take our guided tour to see how it works, then upload your own data and start creating crosstabs for free.
Displayr takes the hard work out of crosstab analysis. Crosstabs are automatically stat tested, meaning you can quickly identify the most significant results.
Once you’ve created your crosstabs and found the best ones, you can simply export the tables to PowerPoint as editable charts.
Follow the guided setup to build your first crosstab, then connect your own data sources. Here you can create lots of different crosstabs, then sort them by significance.
Fine-tune your crosstabs with filters, weighting, and other design elements. Once ready, export and share the findings with just a few clicks.
Crosstabs are just the beginning. With Displayr, you can go far beyond simple adjustments to your data. Our platform empowers you to dive deeper into your analysis, uncover hidden patterns, and transform your crosstabs into actionable insights.
From advanced statistical modeling to intuitive visualizations, Displayr gives you the tools to explore your data like never before. Create interactive dashboards, apply segmentation, perform predictive analysis, and even integrate text analytics—all in one powerful, easy-to-use platform.
With Displayr, you can uncover stories in your data, identify trends, and communicate your findings with stunning visualizations that are ready to share. Whether you’re a market researcher, data scientist, or business analyst, Displayr ensures you get the most out of your data—quickly, easily, and effectively.
Instantly visualize what you are learning. Displayr is a robust, collaborative analysis and reporting tool built for humans, not robots. SQL, R, and no-code work in harmony together so you can analyze, visualize, and build your report simultaneously in the same app.
When it comes to turning raw survey data into easily digestible insights, it’s hard to beat the crosstab for simplicity and effectiveness. A crosstab is created to show us the relationship between two or more variables. This means it is the perfect research tool for identifying patterns hidden in the data.
Take the example of a preferred cola brand survey, in which respondents from a range of different demographics and backgrounds must list their favourite brands on the market. Through the power of crosstabbing, you might start to see that people aged 18-24 prefer Coca-Cola, or that those who live in the state of New York have a strong preference for Pepsi.
Displayr not only puts the data into the table so you can see these relationships between different variables, but it also uses automated statistical testing to literally point out the connections that are important to your research.
Plus, crosstabs are versatile. You can easily transform them into visualizations—bar charts, heat maps, and more—making your analysis even clearer. It’s a simple but powerful way to dig deeper without losing track of the bigger picture.
President – Americas, Mobile Digital Insights
What does a crosstab show you?
A crosstab shows you the relationship between two or more variables, summarizing their frequency distribution. This helps you identify how different groups respond to certain factors.
What’s the difference between a table and a crosstab in market research?
A standard table lists data in rows and columns, while a crosstab shows the relationship between multiple variables, highlighting interactions. In market research, a crosstab compares groups (e.g., age vs. buying preference), whereas a table shows data without relational context. As well as crosstabs, Displayr also allows you to create a customized tables.
What’s the difference between a crosstab and a contingency table?
The phrase ‘crosstab’ (or crosstabulation) is often used interchangeably with ‘contingency table’. There is a slight technical difference between the two, however. A crosstab just needs to show the relationship between two variables, whereas a contingency table shows the relationship between two or more categorical variables.
Can you make a crosstab in Python?
Yes. You can create a crosstab in Python using the pandas crosstab function.
How do I make a crosstab in Displayr?
In Displayr, upload your data, go to the Tables tab, and select Crosstab. Drag variables into rows and columns, and Displayr will generate the crosstab. You can then customize the table with various statistics and options.
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