Maximize the speed and quality of your data analysis with automation.
Displayr looks at all the properties of your data – sample size, weights, data types, variable set type – and automatically chooses the most appropriate test.
By default Displayr uses exception tests to highlight the most interesting cells, using arrows and font color to emphasize the results. You can change this to column comparisons, where letters are used to indicate which cells on a table are significantly different to which other cells.
Most statistical tests are not designed to work with weights. On our tables, all significant results will automatically use appropriate tests even with sampling weights (via Taylor Series Linearization).
Statistical tests can also be used to automatically delete tables in a report that contain no statistically significant results, saving you the time of even having to read the tests.
You can customize the automated statistical testing options – levels of significance, multiple comparison correction, parametric versus nonparametric tests – and even write your own code for performing tests. You can also manually perform tests if you want to take complete control of the testing.
Tests automatically update when you revise the data, whether filtering, data cleaning, or adding in a new wave of data.
Critical Mass
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.
Displayr’s Research Agents integrate AI across your full workflow, from data cleaning to analysis to reporting.
Displayr helps Data Expert deliver custom solutions faster
