The Complete Solution for Crosstabs

How much of your day is spent creating and analyzing crosstabs? Built by market researchers for market researchers, Displayr will cut your analysis time in half.

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Quick Crosstabs for Effortless Insights

Automate crosstab creation for rapid insights

Drag and drop to create a single crosstab, or use automation to churn out thousands of crosstabs in seconds. Displayr will even automatically delete uninteresting crosstabs if you want it to.

Easily manipulate and format crosstabs

Merge cells, create nets, re-order categories, create complicated banners, add or remove statistics like counts, column, and row percentages.

Automatic automation (no code required)

Once you have created a set of crosstabs you can automatically refresh it with new data (e.g., a new clean data file, a new wave of a tracker). No need to write code. Displayr’s automation is automatic.

Best-in-class stat testing

Displayr automatically puts statistics tests on tables and crosstabs. Stat tests specifically designed for survey analysis, which deal with weights in the proper way. Stat testing can also be customized to your companies specifications.

PowerPoint automation

Export your crosstabs to PowerPoint as editable charts. You can even create your entire reporting deck in Displayr.

Displayr has made us so much faster. We can meet tight deadlines and deliver better insights without sacrificing work-life balance. My team and I can work normal hours again.

Erik Larsen

Director of Insights & Analytics, Vennli

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One complete platform to do it all

Automatic theme detection

AI automatically identifies and categorizes themes within your text data, providing deeper insights.

Emotion detection

Understand and analyze complex emotions like frustration and sadness, helping you understand customer motives.

Entity extraction

Extract key entities like names, places, and organizations to enrich your analysis.

Customizable categories

Fine-tune and adjust categories to match your specific needs and preferences.

Text visualization

Create stunning word clouds, charts, and dashboards that help tell the story behind your text.

Global language support

Analyze text data in any language, with true native language support to a global audience.

Sentiment analysis

Analyze large volumes of text to gauge positive, negative, or neutral sentiments.

Natural Language Processing

Extract insights with unrivalled accuracy, utilizing NLP to reduce manual effort and free up time.

Case Study - Satrix Solutions

US Market Research Agency

Displayr helps Satrix Solutions complete projects 5x faster

Challenges

Too many hours spent manually updating report
Redoing reporting week by week due to static reporting

Solutions

Displayr makes it easier to crunch clients’ numbers and do advanced analysis
All-in-one software

Results

30 days of bandwidth recovered per year
33% faster turnaround on final client reports

"Displayr gets us out of PowerPoint and Excel and into a more advanced system where we all want to be."

Dan Genord

Director of Reporting & Analytics, Satrix Solutions

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Crosstab FAQs

What is a crosstab?

A crosstab (short for “cross-tabulation”) is a table that shows the relationship between two or more variables, where rows represent one variable, and columns represent another. Representing the most fundamental aspect of market research reporting, crosstabs allow researchers to present results from a full group of respondents, as well as subgroups.

What is the function of a crosstab?

Crosstabs allow you to quickly identify patterns in data. By highlighting the frequency of combinations, you can start to see relationships between the variables that you might have otherwise missed.

When should I create a crosstab?

A crosstab can be used anytime you need to look at the relationship between two or more categorical variables. This is particularly common in customer surveys, hence the relevance to market research.

What is an example of a crosstab?

Check out this crosstab from a survey on preferred cola brands. The columns represent different brands of cola, while the rows show the different age groups of respondents. This crosstab makes it easy to see age preferences for each cola brand.

What makes a good crosstab?

A good crosstab is clear, concise, and easy to interpret. It should include relevant variables and follow a logical structure. It is also important to show percentages or totals where possible to highlight patterns. Being able to easily manipulate and format crosstabs allows users to better drill into the data.

What’s the difference between a pivot table and a crosstab?

Both pivot tables and crosstabs summarize data in a table format, but they serve slightly different purposes.

A pivot table is typically used in tools like Excel, allowing you to dynamically rearrange, filter, and summarize data based on different dimensions.
A crosstab, is specifically designed to show the relationship between categorical variables, focusing on counts and frquencies.

What’s the difference between a Chi-square test and a crosstab?

A Chi-square test is a statistical test used to check if there’s a significant relationship between two categorical variables. It compares the observed frequencies in a crosstab with the expected frequencies to determine if the differences are meaningful. A Chi-square test goes beyond the snapshot of a crosstab, by providing evidence to confirm if the relationship is significant.

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